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• DB Strategy for inserting into a high read table (Sql Server)

  - by Tom

  Looking for strategies for a very large table with data maintained for reporting and historical purposes, a very small subset of that data is used in daily operations. Background: We have Visitor and Visits tables which are continuously updated by our consumer facing site. These tables contain information on every visit and visitor, including bots and crawlers, direct traffic that does not result in a conversion, etc. Our back end site allows management of the visitor's (leads) from the front end site. Most of the management occurs on a small subset of our visitors (visitors that become leads). The vast majority of the data in our visitor and visit tables is maintained only for a much smaller subset of user activity (basically reporting type functionality). This is NOT an indexing problem, we have done all we can with indexing and keeping our indexes clean, small, and not fragmented. ps: We do not currently have the budget or expertise for a data warehouse. The problem: We would like the system to be more responsive to our end users when they are querying, for instance, the list of their assigned leads. Currently the query is against a huge data set of mostly irrelevant data. I am pondering a few ideas. One involves new tables and a fairly major re-architecture, I'm not asking for help on that. The other involves creating redundant data, (for instance a Visitor_Archive and a Visitor_Small table) where the larger visitor and visit tables exist for inserts and history/reporting, the smaller visitor1 table would exist for managing leads, sending lead an email, need leads phone number, need my list of leads, etc.. The reason I am reaching out is that I would love opinions on the best way to keep the Visitor_Archive and the Visitor_Small tables in sync... Replication? Can I use replication to replicate only data with a certain column value (FooID = x) Any other strategies?

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• good/bad idea to use email address in php session variable? [closed]

  - by Stephan Hovnanian

  I'm developing some additional functionality for a client's website that uses the email address as a key lookup variable between various databases (email marketing system, internal prospect database, and a third shared DB that helps bridge the gap between the two). I'm concerned that storing a visitor's email address as a $_SESSION variable could lead to security issues (not so much for our site, but for the visitor). Anybody have suggestions or experience on whether this is okay to do, or if there's another alternative out there?

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• How can I call model methods or properties from Django Admin?

  - by kg

  Is there a natural way to display model methods or properties in the Django admin site? In my case I have base statistics for a character that are part of the model, but other things such as status effects which affect the total calculation for that statistic: class Character(models.Model): base_dexterity = models.IntegerField(default=0) @property def dexterity(stat_name): total = self.base_dexterity total += sum(s.dexterity for s in self.status.all()]) return total It would be nice if I could display the total calculated statistic alongside the field to change the base statistic in the Change Character admin page, but it is not clear to me how to incorporate that information into the page.

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• Finding Most Recent Order for a Particular Item

  - by visitor

  I'm trying to write a SQL Query for DB2 Version 8 which retrieves the most recent order of a specific part for a list of users. The query receives a parameter which contains a list of customerId numbers and the partId number. For example, Order Table OrderID PartID CustomerID OrderTime I initially wanted to try: Select * from Order where OrderId = ( Select orderId from Order where partId = #requestedPartId# and customerId = #customerId# Order by orderTime desc fetch first 1 rows only ); The problem with the above query is that it only works for a single user and my query needs to include multiple users. Does anyone have a suggestion about how I could expand the above query to work for multiple users? If I remove my "fetch first 1 rows only," then it will return all rows instead of the most recent. I also tried using Max(OrderTime), but I couldn't find a way to return the OrderId from the sub-select. Thanks! Note: DB2 Version 8 does not support the SQL "TOP" function.

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• Has Javascript developed beyond what it was originally designed to do?

  - by Elliot Bonneville

  I've been talking with a friend about the purpose of Javascript, when and how it should be used, etc. He quoted that: JavaScript was designed to add interactivity to HTML pages [...] JavaScript gives HTML designers a programming tool HTML authors are normally not programmers, but JavaScript is a scripting language with a very simple syntax! Almost anyone can put small "snippets" of code into their HTML pages JavaScript can react to events A JavaScript can be set to execute when something happens, like when a page has finished loading or when a user clicks on an HTML element JavaScript can read and write HTML elements A JavaScript can read and change the content of an HTML element JavaScript can be used to validate data A JavaScript can be used to validate form data before it is submitted to a server. This saves the server from extra processing JavaScript can be used to detect the visitor's browser - A JavaScript can be used to detect the visitor's browser, and - depending on the browser - load another page specifically designed for that browser. JavaScript can be used to create cookies - A JavaScript can be used to store and retrieve information on the visitor's computer. However, it seems like Javascript's getting used to do a lot more than these days. My friend also advocates against using Javascript's OOP functionality, claiming that "you shouldn't be processing data, merely validating." Is Javascript really limited to validating data and making flashy graphics on a web page? He goes on to claim "you shouldn't be attempting to access databases through javascript" and also says " in general you don't want to be doing your heavy lifting in javascript". I can't say I agree with his opinion, but I'd like to get some more input on this. So, my question: Has Javascript evolved from the definition above to something more powerful, has the way we use it changed, or am I just plain wrong? While I realize this is a subjective question, I can't find any more information on it, so a few links would be good, if nothing else. I'm not looking for a debate, just an answer.

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• Identical traffic

  - by Walter White

  Hi all, I am running an application server and logging all requests for analysis purposes later. One interesting trend I noticed last night was, I had a visitor from Texas on FIOS share identical traffic with bluecoat in California. What would cause the traffic to be identical? For every request the visitor made, bluecoat made one subsequently within milliseconds of his request. If it is caching, why would there be identical requests? Wouldn't it go through the cache / proxy on their end, and I would only see the proxied request? I'm just curious, this is an interesting pattern that shows similarities of a DDoS attack, but with far fewer resources. Is it possible that the visitor had malware on their computer? Any other ideas? Walter

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• Recording custom variables to identify individual users with Google Analytics

  - by mrtsherman

  I have been asked by our marketing department to add Google Analytics custom variable tracking to my company's website. As the website uses server side includes, modifications to the tracking tag roll out globally - maintenance is therefore a headache! So, if I add the following code (keeping in mind SSI so every page has the same code): // visitor level tracking, id = 12345 // Record a unique id for each visitor. When they return also track this id _gaq.push(['_setCustomVar', 1, 'id', '12345', 1]); // page level tracking // If the user signs up for our newsletter we set newsletter to true // Each page they subsequently visit should also mark this as true _gaq.push(['_setCustomVar', 1, 'newsletter', 'true', 1]); I don't use GA and the marketing people don't use custom variables, so we don't actually know how or if this will work. Therefore my questions are:- Do I want Page, Session or Visitor level tracking? What happens when the same code is used on every page? Can GA 'overwrite' a setting. For example, if I set newsletter to true on page X and then user navigates to page Y, will the variable also be marked there?

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• How are certain analytics metrics (time on site, etc.) usually distributed?

  - by a barking spider

  I'm not sure if I've come to the right place to ask this question, but I'm gathering some information for a research project. We're trying to design an experiment that'll heavily involve web analytics, and I'm trying to figure out some sensible values of mean +/- standard deviation for the following visitor-level (i.e., visitor 1 spends 2 minutes on site, visitor 2 spends 1 minute -- mean 1.5 +/- 0.71...) metrics: time spent on site page views If time allowed, we would put up the sites and gather the information ourselves, but we have a grant deadline coming up. I realize that even though these the distributions of these quantities are probably going to be heavily skewed towards zero, we'll need some reasonable figures or estimates of these figures in order to do sample size calculations, etc. Anyway, I'm not sure where else I'd turn, and I certainly have had a difficult time finding these values in the prior literature. If someone could direct me to a paper with the right information, or if you have these figures on hand (perhaps taken directly from your logs!) -- that would be amazing, and I'd love to hear from you. Thanks in advance, and even though I'm not allowed to reveal too much, rest assured that this info'll be applied towards a good cause :)

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• Why LINQ to Entities won't let me initialize just some properties of an Entity?

  - by emzero

  So I've started to add Entity Framework 4 into a legacy web application (ASP.NET WebForms). As a start I have auto-generated some entities from the database. Also I want to apply Repository Pattern. There is an entity called Visitor and its repository VisitorRepository In VisitorRepository I have the following method: public IEnumerable<Visitor> GetActiveVisitors() { var visitors = from v in _context.Visitors where v.IsActive select new Visitor { VisitorID = v.VisitorID, EmailAddress = v.EmailAddress, RegisterDate = v.RegisterDate, Company = v.Company, Position = v.Position, FirstName = v.FirstName, LastName = v.LastName }; return visitors.ToList(); } That List is then bound to a repeater and when trying to do <%# Eval('EmailAddress') #%> it throws the following exception. The entity or complex type 'Model.Visitor' cannot be constructed in a LINQ to Entities query. A) Why is this happening? How I can workaround this? Do I need to select an anonymous type and then use that to initialize my entities??? B) Why every example I've seen makes use of 'select new' (anonymous object) instead of initializing a known type? Anonymous types are useless unless you are retrieving the data and showing it in the same layer. As far as I know anonymous types cannot be returned from methods? So what's the real point of them??? Thank you all

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• PHP, MySQL: Receive email, auto search in DB & send email based on the results

  - by Devner

  Hi all, Visitors can contact staff by means of contact form (visitor needs to submit email as well). This will be stored in DB. Now considering that staff responds to this message, the reply from the staff would be sent to the visitors email directly. Say if the user wants to follow up on the message sent by the staff, I would like the visitor to just hit the reply button in his email service & send me his questions on the same topic, but just retain the ID in the Subject line. So when the visitor send this email, I would like to receive the email & at the same time, try to search in my DB if the ID that is present in the email subject, actually exists in the system. If yes, that would be sent back to the same staff member who handled the response previously or it would be assigned to a new staff member. That being said, I was thinking of how to do this. The part where I am really held up is when the staff receives the actual email from the visitors email, how can I check the DB? Say I am/staff is receiving emails at [email protected]. When visitor sends reply email, then it would be sent to [email protected]. How can I check to see if the ID in the subject line of the email that I received at [email protected], actually exists in my DB in my website? This is where I am really stuck. Looking forward for your replies. Thank you.

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• Is Collections.shuffle suitable for a poker algorithm?

  - by Kovu

  Hi, there is a poker-system in java, that uses Collections.shuffle() on all available cards before the cards are dealt. So a collection of 52 cards 2-9, J, Q, K, A in 4 types. After that we Collections.shuffle(). The problem is, that it seems (until now we didn't have big statistic, it's possible that we only see a lot of statistic inferences), that the algorithm is VERY unclearly. So, is Collections.shuffle() okay for a poker algorithm?

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• Ad distribution problem: an optimal solution?

  - by Mokuchan

  I'm asked to find a 2 approximate solution to this problem: You’re consulting for an e-commerce site that receives a large number of visitors each day. For each visitor i, where i € {1, 2 ..... n}, the site has assigned a value v[i], representing the expected revenue that can be obtained from this customer. Each visitor i is shown one of m possible ads A1, A2 ..... An as they enter the site. The site wants a selection of one ad for each customer so that each ad is seen, overall, by a set of customers of reasonably large total weight. Thus, given a selection of one ad for each customer, we will define the spread of this selection to be the minimum, over j = 1, 2 ..... m, of the total weight of all customers who were shown ad Aj. Example Suppose there are six customers with values 3, 4, 12, 2, 4, 6, and there are m = 3 ads. Then, in this instance, one could achieve a spread of 9 by showing ad A1 to customers 1, 2, 4, ad A2 to customer 3, and ad A3 to customers 5 and 6. The ultimate goal is to find a selection of an ad for each customer that maximizes the spread. Unfortunately, this optimization problem is NP-hard (you don’t have to prove this). So instead give a polynomial-time algorithm that approximates the maximum spread within a factor of 2. The solution I found is the following: Order visitors values in descending order Add the next visitor value (i.e. assign the visitor) to the Ad with the current lowest total value Repeat This solution actually seems to always find the optimal solution, or I simply can't find a counterexample. Can you find it? Is this a non-polinomial solution and I just can't see it?

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• Automatic web browsing for windows phone

  - by Elias

  There's a website (telephonic company) where I get a statistic information about the amount of data transferred by my phone during the current month. To access that information, I need: * Access the website and login with username and passwod (html form) * Then choose an option in a combo box (html select) * And finally click on a link that shows the information (html a) I want to develop an app that does all this process automatically, and shows only the statistic data. There's a way to do this in C#?

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• ???Flashback Log???????Redo Log?

  - by Liu Maclean(???)

  ????????????????????redo log?   RVWR( Recovery Writer)?3s??flashback generate buffer??block before image?????????? ?????block change???RVWR??block before image ?flashback log? ?????????,Oracle???????????before image????????,????????flashback database logs?????   ???????????,????? ??????????????????,???????????before image?????shared pool??flashback log buffer?,RVWR??????flashback log buffer??????????? ?DBWR???????????????,DBWR?????buffer header??FBA(Flashback Byte Address)?flashback log buffer?????????? ???? ?????? ??? ????????????? , RVWR???????????(flashback markers)?flashback database logs?? ????(flashback markers)?????????????Oracle??flashback ??????????  ??????????, Oracle ??????(flashback markers)????????????flashback database log???????????block image; ??Oracle ???????(forward recovery)?????????????????SCN?????? flashback markers for example: **** Record at fba: (lno 1 thr 1 seq 1 bno 4 bof 8184) **** RECORD HEADER: Type: 3 (Skip) Size: 8132 RECORD DATA (Skip): **** Record at fba: (lno 1 thr 1 seq 1 bno 4 bof 52) **** RECORD HEADER: Type: 7 (Begin Crash Recovery Record) Size: 36 RECORD DATA (Begin Crash Recovery Record): Previous logical record fba: (lno 1 thr 1 seq 1 bno 3 bof 316) Record scn: 0x0000.00000000 [0.0] **** Record at fba: (lno 1 thr 1 seq 1 bno 3 bof 8184) **** RECORD HEADER: Type: 3 (Skip) Size: 7868 RECORD DATA (Skip): **** Record at fba: (lno 1 thr 1 seq 1 bno 3 bof 316) **** RECORD HEADER: Type: 2 (Marker) Size: 300 RECORD DATA (Marker): Previous logical record fba: (lno 0 thr 0 seq 0 bno 0 bof 0) Record scn: 0x0000.00000000 [0.0] Marker scn: 0x0000.0060e024 [0.6348836] 06/13/2012 15:56:35 Flag 0x0 Flashback threads: 1, Enabled redo threads 1 Recovery Start Checkpoint: scn: 0x0000.0060e024 [0.6348836] 06/13/2012 15:56:12 thread:1 rba:(0x80.180.10) Flashback thread Markers: Thread:1 status:0 fba: (lno 1 thr 1 seq 1 bno 2 bof 8184) Redo Thread Checkpoint Info: Thread:1 rba:(0x80.180.10) **** Record at fba: (lno 1 thr 1 seq 1 bno 2 bof 8184) **** RECORD HEADER: Type: 3 (Skip) Size: 8168 RECORD DATA (Skip): End-Of-Thread reached ????????????????block change ????before image????????flashback log?? ?????block change???flashback log record ????????? redo log???!????flashback log ???????before image ? redo log??? change vector ?  Oracle?????????????????????????????????????,??????I/O??????????????: ??hot block??,Oracle???????????block image?????; Oracle ?????????(flashback barriers)???????????????,flashback barriers???????(???15??),??????????(flashback barriers)????(flashback markers)????????? ????, ??????change?????, ???????????????????????????, ?15????????????????????flashback log????????before image?????????????,?????????????????????,?????????????? ????????,??????????????(flashback barriers), flashback barriers???????,?????15????? ?????flashback barriers????????(flashback markers)???????????????,???????????????????(????barriers?????)??????block image ,????????????????????????????????? ??????????flashback log????redo log????! ????,????????????????, ?????????? SQL> select * from v$version; BANNER -------------------------------------------------------------------------------- Oracle Database 11g Enterprise Edition Release 11.2.0.3.0 - 64bit Production PL/SQL Release 11.2.0.3.0 - Production CORE 11.2.0.3.0 Production TNS for Linux: Version 11.2.0.3.0 - Production NLSRTL Version 11.2.0.3.0 - Production SQL> select * from global_name; GLOBAL_NAME -------------------------------------------------------------------------------- www.oracledatabase12g.com SQL> create table flash_maclean (t1 varchar2(200)) tablespace users; Table created. SQL> insert into flash_maclean values('MACLEAN LOVE HANNA'); 1 row created. SQL> commit; Commit complete. SQL> startup force; ORACLE instance started. Total System Global Area 939495424 bytes Fixed Size 2233960 bytes Variable Size 713034136 bytes Database Buffers 218103808 bytes Redo Buffers 6123520 bytes Database mounted. Database opened. SQL> update flash_maclean set t1='HANNA LOVE MACLEAN'; 1 row updated. commit; Commit complete. SQL> alter system checkpoint; System altered. SQL> select dbms_rowid.rowid_block_number(rowid),dbms_rowid.rowid_relative_fno(rowid) from flash_maclean; DBMS_ROWID.ROWID_BLOCK_NUMBER(ROWID) DBMS_ROWID.ROWID_RELATIVE_FNO(ROWID) ------------------------------------ ------------------------------------ 140431 4 datafile 4 block 140431 ??RDBA rdba: 0x0102248f (4/140431) SQL> ! ps -ef|grep rvwr|grep -v grep oracle 26695 1 0 15:56 ? 00:00:00 ora_rvwr_G11R23 SQL> oradebug setospid 26695 Oracle pid: 20, Unix process pid: 26695, image: [email protected] (RVWR) SQL> ORADEBUG DUMP FBTAIL 1; Statement processed. To dump the last 2000 flashback records , ??ORADEBUG DUMP FBTAIL 1????????2000?????? SQL> oradebug tracefile_name /s01/orabase/diag/rdbms/g11r23/G11R23/trace/G11R23_rvwr_26695.trc ? TRACE?????????block? before image **** Record at fba: (lno 1 thr 1 seq 1 bno 55 bof 2564) **** RECORD HEADER: Type: 1 (Block Image) Size: 28 RECORD DATA (Block Image): file#: 4 rdba: 0x0102248f Next scn: 0x0000.00000000 [0.0] Flag: 0x0 Block Size: 8192 BLOCK IMAGE: buffer rdba: 0x0102248f scn: 0x0000.00609044 seq: 0x01 flg: 0x06 tail: 0x90440601 frmt: 0x02 chkval: 0xc626 type: 0x06=trans data Hex dump of block: st=0, typ_found=1 Dump of memory from 0x00002B1D94183C00 to 0x00002B1D94185C00 2B1D94183C00 0000A206 0102248F 00609044 06010000 [.....$..D.`.....] 2B1D94183C10 0000C626 00000001 00014AD4 0060903A [&........J..:.`.] 2B1D94183C20 00000000 00320002 01022488 00090006 [......2..$......] 2B1D94183C30 00000CC8 00C00340 000D0542 00008000 [[email protected].......] 2B1D94183C40 006040BC 000F000A 00000920 00C002E4 [.@`..... .......] 2B1D94183C50 0017048F 00002001 00609044 00000000 [..... ..D.`.....] 2B1D94183C60 00000000 00010100 0014FFFF 1F6E1F77 [............w.n.] 2B1D94183C70 00001F6E 1F770001 00000000 00000000 [n.....w.........] 2B1D94183C80 00000000 00000000 00000000 00000000 [................] Repeat 500 times 2B1D94185BD0 00000000 00000000 2C000000 4D120102 [...........,...M] 2B1D94185BE0 454C4341 4C204E41 2045564F 4E4E4148 [ACLEAN LOVE HANN] 2B1D94185BF0 01002C41 43414D07 4E41454C 90440601 [A,...MACLEAN..D.] Block header dump: 0x0102248f Object id on Block? Y seg/obj: 0x14ad4 csc: 0x00.60903a itc: 2 flg: E typ: 1 - DATA brn: 0 bdba: 0x1022488 ver: 0x01 opc: 0 inc: 0 exflg: 0 Itl Xid Uba Flag Lck Scn/Fsc 0x01 0x0006.009.00000cc8 0x00c00340.0542.0d C--- 0 scn 0x0000.006040bc 0x02 0x000a.00f.00000920 0x00c002e4.048f.17 --U- 1 fsc 0x0000.00609044 bdba: 0x0102248f data_block_dump,data header at 0x2b1d94183c64 =============== tsiz: 0x1f98 hsiz: 0x14 pbl: 0x2b1d94183c64 76543210 flag=-------- ntab=1 nrow=1 frre=-1 fsbo=0x14 fseo=0x1f77 avsp=0x1f6e tosp=0x1f6e 0xe:pti[0] nrow=1 offs=0 0x12:pri[0] offs=0x1f77 block_row_dump: tab 0, row 0, @0x1f77 tl: 22 fb: --H-FL-- lb: 0x2 cc: 1 col 0: [18] 4d 41 43 4c 45 41 4e 20 4c 4f 56 45 20 48 41 4e 4e 41 end_of_block_dump SQL> select dump('MACLEAN LOVE HANNA',16) from dual; DUMP('MACLEANLOVEHANNA',16) -------------------------------------------------------------------- Typ=96 Len=18: 4d,41,43,4c,45,41,4e,20,4c,4f,56,45,20,48,41,4e,4e,41 ???????????????????????,??flashback log??before image????????? create table flash_maclean1 (t1 int) tablespace users; SQL> select vs.name, ms.value 2 from v$mystat ms, v$sysstat vs 3 where vs.statistic# = ms.statistic# 4 and vs.name in ('redo size','db block changes'); NAME VALUE ---------------------------------------------------------------- ---------- db block changes 0 redo size 0 SQL> select name,value from v$sysstat where name like 'flashback log%'; NAME VALUE ---------------------------------------------------------------- ---------- flashback log writes 49 flashback log write bytes 9306112 SQL> begin 2 for i in 1..5000 loop 3 update flash_maclean1 set t1=t1+1; 4 commit; 5 end loop; 6 end; 7 / PL/SQL procedure successfully completed. SQL> select vs.name, ms.value 2 from v$mystat ms, v$sysstat vs 3 where vs.statistic# = ms.statistic# 4 and vs.name in ('redo size','db block changes'); NAME VALUE ---------------------------------------------------------------- ---------- db block changes 20006 redo size 3071288 SQL> select name,value from v$sysstat where name like 'flashback log%'; NAME VALUE ---------------------------------------------------------------- ---------- flashback log writes 52 flashback log write bytes 10338304 ??????????? ??hot block,???20006 ?block changes???? ??? 3000k ?redo log ? ??1000k? flashback log ?

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• SQL GROUP BY - also SELECT not-constant columns

  - by Michal Kosek

  can someone please help me with this query? I have 2 tables in my database: log_visitors: -------------------- id | host_id log_access: -------------------- visitor | document | timestamp "log_access.visitor" links to "log_visitors.id" Currently, I'm using this query: SELECT log_visitors.host_id , MIM(log_access.timestamp) AS min_timestamp FROM log_access INNER JOIN log_visitors ON (log_access.visitor = log_visitors.id) GROUP BY log_visitors.host_id; to get "MIN(timestamp)" for each "host_id" in the database. HERE'S MY QUESTION: I also need to get "document" for that access with that timestamp... I can't simply add "log_access.document" into SELECT list, since it's not constant and I am not grouping by document... Any ideas?

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• Problem with variable argument function in C++

  - by Freezerburn

  I'm trying to create a variable length function (obviously, heh) in C++, and what I have right now works, but only for the first argument. If someone could please let me know how to get this working with all the arguments that are passed, I would really appreciate it. Code: void udStaticObject::accept( udObjectVisitor *visitor, ... ) { va_list marker; udObjectVisitor *i = visitor; va_start( marker, visitor ); while( 1 ) { i->visit_staticObject( this ); //the if here will always go to the break immediately, allowing only //one argument to be used if( ( i = va_arg( marker, udObjectVisitor* ) ) ) break; } va_end( marker ); } Based on my past posts, and any help posts I make in general, there is probably some information that I did not provide that you will need to know to help. I apologize in advance if I forgot anything, and please let me know what you need to know so I can provide the information.

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• Predicting Likelihood of Click with Multiple Presentations

  - by Michel Adar

  When using predictive models to predict the likelihood of an ad or a banner to be clicked on it is common to ignore the fact that the same content may have been presented in the past to the same visitor. While the error may be small if the visitors do not often see repeated content, it may be very significant for sites where visitors come repeatedly. This is a well recognized problem that usually gets handled with presentation thresholds – do not present the same content more than 6 times. Observations and measurements of visitor behavior provide evidence that something better is needed. Observations For a specific visitor, during a single session, for a banner in a not too prominent space, the second presentation of the same content is more likely to be clicked on than the first presentation. The difference can be 30% to 100% higher likelihood for the second presentation when compared to the first. That is, for example, if the first presentation has an average click rate of 1%, the second presentation may have an average CTR of between 1.3% and 2%. After the second presentation the CTR stays more or less the same for a few more presentations. The number of presentations in this plateau seems to vary by the location of the content in the page and by the visual attraction of the content. After these few presentations the CTR starts decaying with a curve that is very well approximated by an exponential decay. For example, the 13th presentation may have 90% the likelihood of the 12th, and the 14th has 90% the likelihood of the 13th. The decay constant seems also to depend on the visibility of the content. Modeling Options Now that we know the empirical data, we can propose modeling techniques that will correctly predict the likelihood of a click. Use presentation number as an input to the predictive model Probably the most straight forward approach is to add the presentation number as an input to the predictive model. While this is certainly a simple solution, it carries with it several problems, among them: If the model learns on each case, repeated non-clicks for the same content will reinforce the belief of the model on the non-clicker disproportionately. That is, the weight of a person that does not click for 200 presentations of an offer may be the same as 100 other people that on average click on the second presentation. The effect of the presentation number is not a customer characteristic or a piece of contextual data about the interaction with the customer, but it is contextual data about the content presented. Models tend to underestimate the effect of the presentation number. For these reasons it is not advisable to use this approach when the average number of presentations of the same content to the same person is above 3, or when there are cases of having the presentation number be very large, in the tens or hundreds. Use presentation number as a partitioning attribute to the predictive model In this approach we essentially build a separate predictive model for each presentation number. This approach overcomes all of the problems in the previous approach, nevertheless, it can be applied only when the volume of data is large enough to have these very specific sub-models converge.

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• Why are Awstats, Webalizer, and Google Analytics results so different?

  - by Matt

  I realize that comparing Awstats and Webalizer to Google Analytics is like comparing apples to oranges, but each of them track at least basic statistics about visitors and pages. So why are there often very significant differences in their data? For example, comparing Analytics with Awstats using some numbers from a small site over the past week: Awstats 78 unique visitors 205 visits (2.62 visits/visitor) 1,072 pages (5.22 pages/visit) Google Analytics 115 unique visitors 240 visits (2.08 visits/visitor) 1,275 pages (5.31 pages/visit) They're similar on the number of visits, but page views and uniques are quite different. I'm familiar with discrepancies of a much higher magnitude on some larger sites, showing that this trend scales proportionally upward. What is the reason behind the different numbers, even when the data is quite trivial like unique visitors and page loads?

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• Does redirect popup window affect SEO?

  - by Joseph

  We have multiple websites, each site servers number of countries, and we used to have Geo-Ip Auto redirect system (no one likes auto-redirect), so we implemented another redirect system also uses Geo-IP database, but showing a pop-up window (HTML layer pop-up, so it can't be rejected), this window asks the visitor if he would like to continue with this page or go to the correct website of his country. We also added a test line before showing the pop-up, so if the visitor is Googlebot, the popup will not show up :). I was wondering if this effects our websites SEO?

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• Defining Your Online Segmentation and Targeting Strategy

  - by Christie Flanagan

  Normal 0 false false false EN-US X-NONE X-NONE MicrosoftInternetExplorer4 /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-qformat:yes; mso-style-parent:""; mso-padding-alt:0in 5.4pt 0in 5.4pt; mso-para-margin-top:0in; mso-para-margin-right:0in; mso-para-margin-bottom:10.0pt; mso-para-margin-left:0in; line-height:115%; mso-pagination:widow-orphan; font-size:11.0pt; font-family:"Calibri","sans-serif"; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin; mso-bidi-font-family:"Times New Roman"; mso-bidi-theme-font:minor-bidi;} A lot of times, companies will put online segmentation and targeting on the back burner because they don’t know where to start. Often, I’ve heard web managers say that their segments aren’t well understood yet, so they can’t really deliver personalized online experiences that are meaningful. This lack of complete understanding means that they don't really bother to try. But, I don’t think you necessarily need to have an elaborate segmentation and targeting strategy already in place to start delivering a more relevant online customer experience. Sometimes it helps to think of how segmentation and targeting might solve some of the challenges your sites visitors are currently experiencing on your web presence, rather than doing nothing and waiting until a fully baked segmentation strategy lands in your inbox.  For example, perhaps you have a broad and varied service offering that makes it difficult for site visitors to easily find the solutions that are most relevant for them.  How can segmentation and targeting help solve this problem?  Or maybe it’s like the airline I described in Monday’s post where the special deals featured on the home page are only relevant to site visitors from a couple of cities.  Couldn’t segmentation and targeting help them to highlight offers on their home page that are relevant to a larger share of their site visitors? Your early segmentation and targeting efforts do not need to be complicated.  There are simple ways to start delivering a more relevant online customer experience, even if you’re dealing with anonymous site visitors.  These include targeting content to site visitors based on: Referral: Deliver targeted content to your site visitors that is based on where they came from or the search term they used to find your site Behavior:  Deliver content to your site visitors that is related or similar to content they’ve clicked on already Location:  Deliver content your site visitors that is most relevant for their geographic location (this would solve that pesky airline home page problem described above) So as you can see, there really are some very simple ways in which you can start improving your online customer experience using very basic segmentation and targeting methods.  One thing to keep in mind as you start to define you segmentation and targeting strategy is that there are many different types of attributes or combinations of attributes upon which you can base your segmentation and targeting strategy.  In addition to referral, behavior and location, other attributes that you should consider are: Profile Information:  What profile information do you know about this customer already?  Perhaps they provided some information on their interests and preferences when they first registered with your site. Time:  What time is it and how does that impact what my site visitors are looking for or trying to do? Demographics: What are my site visitors’ ages, incomes or ethnicities? Which attributes you select to include in your segmentation strategy will depend on your unique business needs and objectives.  Attributes such as behavior or referral may not be the most important targeting criteria depending on your situation. For example, if you’re a newspaper you might know that certain visitors are sports fans based on their profile information.  You can create a segment for sports fans and target sports related content to that segment of your readership online.  Or perhaps, a reader is browsing stories that are related to politics; you can use that visitor’s behavior to assign him or her to a segment for those interested in politics. From there you can recommend more stories to that visitor based on their interest in politics. For an airline, the visitor’s location may be a more important attribute. By detecting the visitor’s location, you can assign them to an appropriate segment and then target special flights and offers to them based on their likely departure airport. As you can see, there are many practical ways that you can start improving the experience your customers receive on your web presence using fairly basic segmentation and targeting techniques. If you want to learn more about segmentation and targeting using Oracle’s web experience management solution, check out this helpful video that demonstrates these powerful capabilities in Oracle WebCenter Sites. ***** On Demand Webcast Featuring Brian Solis of Altimeter Group Trends such as the mobile web, social media, gamification and real-time are changing customer behavior and expectations. In this new environment, many businesses will struggle. Some will fall by the wayside, while others learn to adapt and thrive. Watch this on demand webcast with Altimeter Group digital analyst and author, Brian Solis, and discover what your organization needs to know about how to compete in the new era of Digital Darwinism. View now.

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• Count unique visitors by group of visited places

  - by Mathieu

  I'm facing the problem of counting the unique visitors of groups of places. Here is the situation: I have visitors that can visit places. For example, that can be internet users visiting web pages, or customers going to restaurants. A visitor can visit as much places as he wishes, and a place can be visited by several visitors. A visitor can come to the same place several times. The places belong to groups. A group can obviously contain several places, and places can belong to several groups. Given that, for each visitor, we can have a list of visited places, how can I have the number of unique visitors per group of places? Example: I have visitors A, B, C and D; and I have places x, y and z. I have these visiting lists: [ A -> [x,x,y,x], B -> [], C -> [z,z], D -> [y,x,x,z] ] Having these number of unique visitors per place is quite easy: [ x -> 2, // A and D visited x y -> 2, // A and D visited y z -> 2 // C and D visited z ] But if I have these groups: [ G1 -> [x,y,z], G2 -> [x,z], G3 -> [x,y] ] How can I have this information? [ G1 -> 3, // A, C and D visited x or y or z G2 -> 3, // A, C and D visited x or z G3 -> 2 // A and D visited x or y ] Additional notes : There are so many places that it is not possible to store information about every possible group; It's not a problem if approximation are made. I don't need 100% precision. Having a fast algorithm that tells me that there were 12345 visits in a group instead of 12543 is better than a slow algorithm telling the exact number. Let's say there can be ~5% deviation. Is there an algorithm or class of algorithms that addresses this type of problem?

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• Google analytics: how many visitors have visited n times?

  - by Riley

  I'm trying to guess how many loyal users I have by counting the number of people that have visited the site 10 times. How can I answer this question with Google Analytics? "Visitor Loyalty" is a tempting answer, but the label for loyalty is "Visits that were the visitor's nth visit," and I want something more like "Visitors that visited n times." For example, we have 40 visits in the "51-100" visit range, but I think that could be a single user who visited 91 times. Or two users who visited 71 times each. The whole chart makes a good logic puzzle (I wonder if there's a unique solution) but doesn't easily answer the question I have.

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• Why does Google Analytics log a user logging in as an exit?

  - by Justin

  I have custom event tracking set up in Google Analytics that tracks when a visitor registers on the site. The tracking is working fine. However, GA is showing that 100% of users "exit" the site after registering. They aren't exiting however, they are just getting logged in. Is there some reason why a user creating a session by logging in would cause GA to lose track of the visitor and think a new user had arrived? Is there any way to prevent this?

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• How to redirect visitors to the server that is closest to them and where to place the servers?

  - by user2971623

  I am focusing on providing fast page refreshes for my visitors and I wonder where is the smartest spot to place my servers on? I understand that the best would be to place a server in every country or even city, but that is of course not doable with my economy. I am thinking of maybe setting up three servers, one in the middle of USA (Kansas?), one in Italy and one in Sweden. What do you think about that? I don't care about Africa since they haven't even got computers so I won't get traffic from there anyway. China, North Korea etc are probably just visiting chinese websites, they barely know english anway... The next problem is how do I redirect a visitor from Finland to the Swedish server? I don't want the visitor from Finland to be using the USA server or vice versa.

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• How to have a PHP web site that can play videos offline?

  - by greco

  Our client asked to implement a system with web technologies and the basic functionalities of: We have 3 users: Admin, User, Visitor. provide videos with an indexing system. Videos and other info about them are uploaded from an admin panel. Users can make playlists, add extra info to videos etc. Visitors watch playlists, videos, track their progress etc. This are some of the very basic functionalities of the system, just to get an idea. So we agreed it's a saas project and we started with php,symphony,jquery,requireJS etc. Now our client says that he wants the user and visitor part has to be accessible offline only. He says the user can download the videos and software, and continue offline. What are your suggestions on this? Provide the ability for the user to download a local server, or another way?

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