Search Results

Search found 16453 results on 659 pages for 'semantic search'.

Page 40/659 | < Previous Page | 36 37 38 39 40 41 42 43 44 45 46 47  | Next Page >

  • Efficient mass string search problem.

    - by Monomer
    The Problem: A large static list of strings is provided. A pattern string comprised of data and wildcard elements (* and ?). The idea is to return all the strings that match the pattern - simple enough. Current Solution: I'm currently using a linear approach of scanning the large list and globbing each entry against the pattern. My Question: Are there any suitable data structures that I can store the large list into such that the search's complexity is less than O(n)? Perhaps something akin to a suffix-trie? I've also considered using bi- and tri-grams in a hashtable, but the logic required in evaluating a match based on a merge of the list of words returned and the pattern is a nightmare, and I'm not convinced its the correct approach.

    Read the article

  • Get all related products based on their full-text search relationship

    - by MikeJ
    I have a Product table with the fields Id, Title, Description, Keywords (just comma separated list of keywords). Table is full-text indexed. When I view one product, I do a query and search the full-text catalog for any related products based on the Keywords field. select * from Products where Contains(Products.*, @keywordsFromOneProduct) Works like a charm. Now I would like to list all products and all their related products in a big list and I want to avoid calling this method for each item. Any ideas how could I do it? I was thinking about a job that would go through products one by one and build a one-many mapping table (fields ProductId, RelatedProductId), but I wonder is there a better way?

    Read the article

  • search through related field for specific related object

    - by dotty
    Hay, I'm working on a simple voting system, where users can vote on a poll. My model looks like this class Poll(models.Model): question = models.CharField() votes = models.IntegerField() usersVoted = models.ManyToManyField(User) Now, i want to scan through the usersVoted field to see if a User object is in there. This User object will then be matched against a logged in User (User obj saved in a session). If the User has voted i want to be able to set a 'has_voted' field. I then want to use this field in my view. I will be using the Property() thingy inside the model to work this 'has_voted' value out. Like so def _can_vote(self): return False can_vote = property(_can_vote) Obviously it'll return a Bool. Any ideas how to search through a related field to find a specific Object?

    Read the article

  • Search object array for matching possible multiple values using different comparison operators

    - by Sparkles
    I have a function to search an array of objects for a matching value using the eq operator, like so: sub find { my ( $self, %params ) = @_; my @entries = @{ $self->{_entries} }; if ( $params{filename} ) { @entries = grep { $_->filename eq $params{filename} } @entries; } if ( $params{date} ) { @entries = grep { $_->date eq $params{date} } @entries; } if ( $params{title} ) { @entries = grep { $_->title eq $params{title} } @entries; } .... I wanted to also be able to pass in a qr quoted variable to use in the comparison instead but the only way I can think of separating the comparisons is using an if/else block, like so: if (lc ref($params{whatever}) eq 'regexp') { #use =~ } else { #use eq } Is there a shorter way of doing it? Because of reasons beyond my control I'm using Perl 5.8.8 so I can't use the smart match operator. TIA

    Read the article

  • Cannot see my wordpress website on google search

    - by ion
    Hi guys I recently uploaded a site made with wordpress. The site url is oakabeachvolley.gr I have set on the privacy settings of wordpress for the site to be visible by search engines. However after almost 45 days the site is invisible on google even when I'm searching using the url name and very specific keywords. Since I have made quite a few sites with wordpress I have never seen this behavior before. Sites will eventually be visible to google engine, sometimes even in the first day. However in this case the site does not show nowhere in the first 20 pages. Any help would be greatly appreciated.

    Read the article

  • Using Full-Text Search in SQL Server 2005 across multiple tables, columns

    - by crisgomez
    Hi, I have a problem, I created a full text search query which return a record(s), in which the paramater I have supplied match(es) in every fields(full-text indexed) of multiple tables. The problem is , when the user.id is equal to ceritification.AId it returns a records eventhough it was not satisfied with the parameter supplied. For this example I supplied a value "xandrick" which return an Id=184, but the problem is it returns two ids which is 184 and 154.What is the best way to return an ID(s) that satisfied of the supplied given value? User table Id Firstname Lastname Middlename Email AlternativeEmail 154 Gregorio Honasan Pimentel [email protected] [email protected] 156 Qwerty Qazggf fgfgf [email protected]. [email protected] 184 Xandrick Flores NULL [email protected] null Certification table Id AID Certification School 12 184 sdssd AMA 13 43 web-based and framework 2 Asian development foundation college 16 184 hjhjhj STI 17 184 rrrer PUP 18 154 vbvbv AMA SELECT DISTINCT Users.Id FROM Users INNER JOIN Certification on Users.Id=Certification.aid LEFT JOIN FREETEXTTABLE (Users,(Firstname,Middlename,Lastname,Email,AlternativeEmail), 'xandrick' )as ftUsr ON Users.Id=ftUsr.[KEY] LEFT JOIN FREETEXTTABLE (Certification,(Certification,School), 'xandrick' )as ftCert ON Certification.Id=ftCert.[KEY]

    Read the article

  • Full-Text Search in SQL Server Express Won't Recognize Latest IFilters

    - by Brandon King
    I'm having difficulty getting full-text search working in SQL Server 2008 Express with Advanced Services. I have a table loaded with .DOCX files as varbinary(MAX) data that I want to use for a full-text catalog, but it doesn't seem to recognize the .DOCX format. Here are the steps that I've taken... Installed the latest Filter Pack 2.0 Exec sp_fulltext_service 'load_os_resources', 1 Exec sys.sp_help_fulltext_system_components 'all' (NOTE: .DOCX is not shown as a filter) Building the full-text catalog fails to identify any key words I initially thought there might be a conflict between x86 SQL Express and x64 Filter Pack on my Windows 7 machine, but I just tried it with everything x86 in a Windows XP virtual machine and got the same result.

    Read the article

  • removed url from google webmaster tool, now goole don't show my website in search

    - by vicky
    I developed the site, and I removed the url from google webmaster tool which was like "http://example.com\". I did this because google show this in search with underconstruction Title, which was my previous page. When i completed the website, i removed the url from there, and added sitemap etc to have new copy of site. Now i see in webmaster tools, that all pages are indexed, but still no success. Yahoo and Bing are showing my page when searched. Help me to fix this problem. Regards, vicky

    Read the article

  • Most efficient way for a lookup/search in a huge list (python)

    - by user229269
    Hey guys, -- I just parsed a big file and I created a list containing 42.000 strings/words. I want to query [against this list] to check if a given word/string belongs to it. So my question is: What is the most efficient way for such a lookup? A first approach is to sort the list [list.sort()] and then just use the if word in list: print 'word' -- which is really trivial and I am sure there is a better way to do it. My goal is to apply a fast lookup that finds whether a given string is in this list or not. If you have any ideas of another data structure, they are welcome. Yet, I want to avoid for now more sophisticated data-structures like Tries etc. I am interested in hearing ideas (or tricks) about fast lookups or any other python library methods that might do the search faster than the simple 'in'. Thanks in advance!

    Read the article

  • A balanced binary search tree which is also a heap

    - by saeedn
    I'm looking for a data structure where each element in it has two keys. With one of them the structure is a BST and looking at the other one, data structure is a heap. With a little search, I found a structure called Treap. It uses the heap property with a random distribution on heap keys to make the BST balanced! What I want is a Balanced BST, which can be also a heap. The BST in Treap could be unbalanced if I insert elements with heap Key in the order of my choice. Is there such a data structure?

    Read the article

  • Search relevance from XML docs (XQuery?) vs MySQL

    - by Marius
    Hello there, I have a website where documents are saved in xml documents, all with the same structure. I need a search engine where I am able to choose documents with the highest relevance according to the key words given by a searching user. I thought it could (?) be a good idea to have one using XQuery rather than having the information stored twice (in XML docs + mysql database) and querying the mysql database for relevance searches. Is XQuery any good for this, and how, and what speed can I expect on +1000 documents of about 7kb each. Thank you for your time. Kind regards

    Read the article

  • Image/"most resembling pixel" search optimization?

    - by SigTerm
    The situation: Let's say I have an image A, say, 512x512 pixels, and image B, 5x5 or 7x7 pixels. Both images are 24bit rgb, and B have 1bit alpha mask (so each pixel is either completely transparent or completely solid). I need to find within image A a pixel which (with its' neighbors) most closely resembles image B, OR the pixel that probably most closely resembles image B. Resemblance is calculated as "distance" which is sum of "distances" between non-transparent B's pixels and A's pixels divided by number of non-transparent B's pixels. Here is a sample SDL code for explanation: struct Pixel{ unsigned char b, g, r, a; }; void fillPixel(int x, int y, SDL_Surface* dst, SDL_Surface* src, int dstMaskX, int dstMaskY){ Pixel& dstPix = *((Pixel*)((char*)(dst->pixels) + sizeof(Pixel)*x + dst->pitch*y)); int xMin = x + texWidth - searchWidth; int xMax = xMin + searchWidth*2; int yMin = y + texHeight - searchHeight; int yMax = yMin + searchHeight*2; int numFilled = 0; for (int curY = yMin; curY < yMax; curY++) for (int curX = xMin; curX < xMax; curX++){ Pixel& cur = *((Pixel*)((char*)(dst->pixels) + sizeof(Pixel)*(curX & texMaskX) + dst->pitch*(curY & texMaskY))); if (cur.a != 0) numFilled++; } if (numFilled == 0){ int srcX = rand() % src->w; int srcY = rand() % src->h; dstPix = *((Pixel*)((char*)(src->pixels) + sizeof(Pixel)*srcX + src->pitch*srcY)); dstPix.a = 0xFF; return; } int storedSrcX = rand() % src->w; int storedSrcY = rand() % src->h; float lastDifference = 3.40282347e+37F; //unsigned char mask = for (int srcY = searchHeight; srcY < (src->h - searchHeight); srcY++) for (int srcX = searchWidth; srcX < (src->w - searchWidth); srcX++){ float curDifference = 0; int numPixels = 0; for (int tmpY = -searchHeight; tmpY < searchHeight; tmpY++) for(int tmpX = -searchWidth; tmpX < searchWidth; tmpX++){ Pixel& tmpSrc = *((Pixel*)((char*)(src->pixels) + sizeof(Pixel)*(srcX+tmpX) + src->pitch*(srcY+tmpY))); Pixel& tmpDst = *((Pixel*)((char*)(dst->pixels) + sizeof(Pixel)*((x + dst->w + tmpX) & dstMaskX) + dst->pitch*((y + dst->h + tmpY) & dstMaskY))); if (tmpDst.a){ numPixels++; int dr = tmpSrc.r - tmpDst.r; int dg = tmpSrc.g - tmpDst.g; int db = tmpSrc.g - tmpDst.g; curDifference += dr*dr + dg*dg + db*db; } } if (numPixels) curDifference /= (float)numPixels; if (curDifference < lastDifference){ lastDifference = curDifference; storedSrcX = srcX; storedSrcY = srcY; } } dstPix = *((Pixel*)((char*)(src->pixels) + sizeof(Pixel)*storedSrcX + src->pitch*storedSrcY)); dstPix.a = 0xFF; } This thing is supposed to be used for texture generation. Now, the question: The easiest way to do this is brute force search (which is used in example routine). But it is slow - even using GPU acceleration and dual core cpu won't make it much faster. It looks like I can't use modified binary search because of B's mask. So, how can I find desired pixel faster? Additional Info: It is allowed to use 2 cores, GPU acceleration, CUDA, and 1.5..2 gigabytes of RAM for the task. I would prefer to avoid some kind of lengthy preprocessing phase that will take 30 minutes to finish. Ideas?

    Read the article

  • In a binary search Tree

    - by user1044800
    In a binary search tree that takes a simple object.....when creating the getter and setter methods for the left, right, and parent. do I a do a null pointer? as in this=this or do I create the object in each method? Code bellow... This is my code: public void setParent(Person parent) { parent = new Person( parent.getName(), parent.getWeight()); //or is the parent supposed to be a null pointer ???? This is the code it came from: public void setParent(Node parent) { this.parent = parent; } Their code takes a node from the node class...my set parent is taking a person object from my person class.....

    Read the article

  • MySQL - How do I insert an additional where clause into this full-text search query

    - by Steven
    I want to add a WHERE clause to a full text search query (to limit to past 24 hours), but wherever I insert it I get Low Level Error. Is it possible to add the clause and if so, how? $query = "SELECT * WHERE story_time > time()-86400 AND MATCH (story_title) AGAINST ('".validate_input($_GET['q'])."' IN BOOLEAN MODE) AS Relevance FROM ".$config['db']['pre']."stories WHERE MATCH (story_title) AGAINST ('+".validate_input($_GET['q'])."' IN BOOLEAN MODE) HAVING Relevance > 0.2 ORDER BY Relevance DESC, story_time DESC LIMIT ".validate_input(($_GET['page']-1)*10).",10";

    Read the article

  • Refresh index of full text search

    - by David
    Hi, in SQL Server 2008, when setting up a full text search, it gives me an option to choose a time/day for it to re-populate the index, can I do this from code instead like C# code? if so how would I do it? Would I need to execute SQL code from C# to refresh the index? Also, say if I DONT re-populate the index and add some new records, by using the FTS query will the new records still come up? But slower? Or will they not come up at all unless i reindex?

    Read the article

  • An example of advanced database search

    - by Phil
    Hi there, im looking for an example script. I saw one yesterday but for the life of me I can't find it again today. The task I have is to allow the user to search 1 database table via input controls on an aspx page where they can select and , or , equals to combine fields, generating the sql on the fly with a stringbuilder or similar. (it runs behind the corp firewall) Please can someone point me in the right direction of an example or tutorial I've been working on the page, but have run into problems. Here is a snippet; If NameSearch.Text IsNot String.Empty And andor1v IsNot "0" Then sql += "Surname LIKE '%" & name & "%' " & andor1v & " " ElseIf NameSearch.Text IsNot String.Empty And andor1v Is "0" Then sql += "Surname LIKE '%" & name & "%' " End If

    Read the article

  • Search server 2008 express working with WSS 3.0 (error when crawl second web application (website) s

    - by tberube
    My search server 2008 express crawls 3 sharepoint servers and 1 windows file server. The file server and 2 other sharepoint server crawl all content and master and sub sites just fine. On the 3rd sharepoint server the default site crawl just fine...The second web application site (content database) crawls the top site and crawls all sub sites BUT The subsites get the below error in the crawl log. Deleted by the gatherer (The start address or content source that contained this item was deleted and hence this item was deleted.) I have checked the security rights (OK) I have checked the setting to crawl a SharePoint site (if wrong the top site would not work)... ???? Last part = I can crawl 3 other sharepoint sites (web applications/other content databases) on the same server...It seems to be just this one site...

    Read the article

  • php codeigniter MySQL search query

    - by kalafun
    I want to create a search query on MySQL database that will consist of 5 different strings typed in from user. I want to query 5 different table columns with these strings. When I for example have input fields like: first name, last name, address, post number, city. How should I query the database that I dont always get all the rows. My query is something like this: SELECT user_id, username from users where a like %?% AND b like %?% AND c like %?% AND d like %?% AND e like %?%; When I exchange the AND for OR I always get all the results which makes sense, and when I use AND I get only the exact matches... Is there any function or statement that would help me with this?

    Read the article

  • Javascript search and replace sequence of characters that contain square brackets

    - by Ruth
    Hello all I'm trying to search for '[EN]' in the string 'Nationality [EN] [ESP]', I want to remove this from the string so I'm using a replace method, code examaple below var str = 'Nationality [EN] [ESP]'; var find = "[EN]"; var regex = new RegExp(find, "g"); alert(str.replace(regex, '')); Since [EN] is identified as a character set this will output the string 'Nationality [] [ESP]' but I want to remove the square brackets aswell. I thought that I could escape them using \ but it didn't work Any advice would be much appreciated

    Read the article

  • How do search engines see dynamic profiles?

    - by Lumpy
    Recently search engines have been able to page dynamic content on social networking sites. I would like to understand how this is done. Are there static pages created by a site like Facebook that update semi frequently. Does Google attempt to store every possible user name? As I understand it, a page like www.facebook.com/username, is not an actual file stored on disk but is shorthand for a query like: select username from users and display the information on the page. How does Google know about every user, this gets even more complicated when things like tweets are involved.

    Read the article

  • Search for string within text column in MySQL

    - by user94154
    I have mysql table that has a column that stores xml as a string. I need to find all tuples where the xml column contains a given string of 6 characters. Nothing else matters--all I need to know is if this 6 character string is there or not. So it probably doesn't matter that the text is formatted as xml. Question: how can I search within mysql? ie SELECT * FROM items WHERE items.xml [contains the text '123456'] Is there a way I can use the LIKE operator to do this? Thanks

    Read the article

  • PHP - Search array in array

    - by Anonymous2011
    I have tried googling for the past one hour straight now and tried many ways to search for an array, in an array. My objective is, to find a keyword in the URL, and the keywords are in a txt file. This is what i have so far - but doesn't work. $file = "keywords.txt"; $open = fopen($file,'r'); $data = fread($open,filesize($file)); $data = explode(" ",$data); $url = (!empty($_SERVER['HTTPS'])) ? "https://".$_SERVER['SERVER_NAME'].$_SERVER['REQUEST_URI'] : "http://".$_SERVER['SERVER_NAME'].$_SERVER['REQUEST_URI']; $url = parse_url($url); //parse the URL into an array foreach($data as $d) { if(strstr($d,$url)) { echo "yes"; } } This works WITHOUT the text file, or array - but that's not what i want. I'd appreciate it if anyone can assist me.

    Read the article

  • Faceted search with Solr on Windows

    - by Dr.NETjes
    With over 10 million hits a day, funda.nl is probably the largest ASP.NET website which uses Solr on a Windows platform. While all our data (i.e. real estate properties) is stored in SQL Server, we're using Solr 1.4.1 to return the faceted search results as fast as we can.And yes, Solr is very fast. We did do some heavy stress testing on our Solr service, which allowed us to do over 1,000 req/sec on a single 64-bits Solr instance; and that's including converting search-url's to Solr http-queries and deserializing Solr's result-XML back to .NET objects! Let me tell you about faceted search and how to integrate Solr in a .NET/Windows environment. I'll bet it's easier than you think :-) What is faceted search? Faceted search is the clustering of search results into categories, allowing users to drill into search results. By showing the number of hits for each facet category, users can easily see how many results match that category. If you're still a bit confused, this example from CNET explains it all: The SQL solution for faceted search Our ("pre-Solr") solution for faceted search was done by adding a lot of redundant columns to our SQL tables and doing a COUNT(...) for each of those columns:   So if a user was searching for real estate properties in the city 'Amsterdam', our facet-query would be something like: SELECT COUNT(hasGarden), COUNT(has2Bathrooms), COUNT(has3Bathrooms), COUNT(etc...) FROM Houses WHERE city = 'Amsterdam' While this solution worked fine for a couple of years, it wasn't very easy for developers to add new facets. And also, performing COUNT's on all matched rows only performs well if you have a limited amount of rows in a table (i.e. less than a million). Enter Solr "Solr is an open source enterprise search server based on the Lucene Java search library, with XML/HTTP and JSON APIs, hit highlighting, faceted search, caching, replication, and a web administration interface." (quoted from Wikipedia's page on Solr) Solr isn't a database, it's more like a big index. Every time you upload data to Solr, it will analyze the data and create an inverted index from it (like the index-pages of a book). This way Solr can lookup data very quickly. To explain the inner workings of Solr is beyond the scope of this post, but if you want to learn more, please visit the Solr Wiki pages. Getting faceted search results from Solr is very easy; first let me show you how to send a http-query to Solr:    http://localhost:8983/solr/select?q=city:Amsterdam This will return an XML document containing the search results (in this example only three houses in the city of Amsterdam):    <response>     <result name="response" numFound="3" start="0">         <doc>            <long name="id">3203</long>            <str name="city">Amsterdam</str>            <str name="steet">Keizersgracht</str>            <int name="numberOfBathrooms">2</int>        </doc>         <doc>             <long name="id">3205</long>             <str name="city">Amsterdam</str>             <str name="steet">Vondelstraat</str>             <int name="numberOfBathrooms">3</int>          </doc>          <doc>             <long name="id">4293</long>             <str name="city">Amsterdam</str>             <str name="steet">Wibautstraat</str>             <int name="numberOfBathrooms">2</int>          </doc>       </result>   </response> By adding a facet-querypart for the field "numberOfBathrooms", Solr will return the facets for this particular field. We will see that there's one house in Amsterdam with three bathrooms and two houses with two bathrooms.    http://localhost:8983/solr/select?q=city:Amsterdam&facet=true&facet.field=numberOfBathrooms The complete XML response from Solr now looks like:    <response>      <result name="response" numFound="3" start="0">         <doc>            <long name="id">3203</long>            <str name="city">Amsterdam</str>            <str name="steet">Keizersgracht</str>            <int name="numberOfBathrooms">2</int>         </doc>         <doc>            <long name="id">3205</long>            <str name="city">Amsterdam</str>            <str name="steet">Vondelstraat</str>            <int name="numberOfBathrooms">3</int>         </doc>         <doc>            <long name="id">4293</long>            <str name="city">Amsterdam</str>            <str name="steet">Wibautstraat</str>            <int name="numberOfBathrooms">2</int>         </doc>      </result>      <lst name="facet_fields">         <lst name="numberOfBathrooms">            <int name="2">2</int>            <int name="3">1</int>         </lst>      </lst>   </response> Trying Solr for yourself To run Solr on your local machine and experiment with it, you should read the Solr tutorial. This tutorial really only takes 1 hour, in which you install Solr, upload sample data and get some query results. And yes, it works on Windows without a problem. Note that in the Solr tutorial, you're using Jetty as a Java Servlet Container (that's why you must start it using "java -jar start.jar"). In our environment we prefer to use Apache Tomcat to host Solr, which installs like a Windows service and works more like .NET developers expect. See the SolrTomcat page.Some best practices for running Solr on Windows: Use the 64-bits version of Tomcat. In our tests, this doubled the req/sec we were able to handle!Use a .NET XmlReader to convert Solr's XML output-stream to .NET objects. Don't use XPath; it won't scale well.Use filter queries ("fq" parameter) instead of the normal "q" parameter where possible. Filter queries are cached by Solr and will speed up Solr's response time (see FilterQueryGuidance)In my next post I’ll talk about how to keep Solr's indexed data in sync with the data in your SQL tables. Timestamps / rowversions will help you out here!

    Read the article

  • Google tweets – Now search twitter archives using Google

    - by samsudeen
    Google has launched a Twitter archive service which allows you to  search tweets in real time as well as on its huge public archive (remember Twitter crossed 10 billionth tweet last month). The search results are displayed as tweets with twitter logo. To explore the twitter search go to Google.com homepage  and select   “Show options” on the search results page, then select “Updates.”.  The search is similar to the Google search with options to dig through the tweets by timeframe. You can explore results by zooming through a particular time range  or date. In addition to the time chart, it also displays the relative volume of an activity on Twitter about the topic. as you can see there is a spike about GSLV launch after 3 PM today.There is also a short cut link “Now” on the left corner which displays the latest results on the topics searched.The tweets also gets refreshed automatically.   Considering the huge volume of activity (50 million messages per day) on twitter, the archive is going to more and bigger. By providing such feature Google has once again proved it is way ahead of others in search Related Posts:None FoundJoin us on Facebook to read all our stories right inside your Facebook news feed.

    Read the article

  • Google tweets – Now search twitter archives using Google

    - by samsudeen
    Google has launched a Twitter archive service which allows you to  search tweets in real time as well as on its huge public archive (remember Twitter crossed 10 billionth tweet last month). The search results are displayed as tweets with twitter logo. To explore the twitter search go to Google.com homepage  and select   “Show options” on the search results page, then select “Updates.”.  The search is similar to the Google search with options to dig through the tweets by timeframe. You can explore results by zooming through a particular time range  or date. In addition to the time chart, it also displays the relative volume of an activity on Twitter about the topic. as you can see there is a spike about GSLV launch after 3 PM today.There is also a short cut link “Now” on the left corner which displays the latest results on the topics searched.The tweets also gets refreshed automatically.   Considering the huge volume of activity (50 million messages per day) on twitter, the archive is going to more and bigger. By providing such feature Google has once again proved it is way ahead of others in search Related Posts:None FoundJoin us on Facebook to read all our stories right inside your Facebook news feed.

    Read the article

< Previous Page | 36 37 38 39 40 41 42 43 44 45 46 47  | Next Page >