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  • Key Techniques For Search Engine Optimization in 2010

    The art of creating web pages which will rank high in search engine returns is called Search Engine Optimization or SEO. By optimizing certain elements or sections in the HTML code of each page, SEO can be accomplished. The search engines specifically read these sections. The level of optimization can help determine the amount free referral traffic.

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  • NLP - Queries using semantic wildcards in full text searching, maybe with Lucene?

    - by Zsolt
    Let's say I have a big corpus (for example in english or an arbitrary language), and I want to perform some semantic search on it. For example I have the query: "Be careful: [art] armada of [sg] is coming to [do sg]!" And the corpus contains the following sentence: "Be careful: an armada of alien ships is coming to destroy our planet!" It can be seen that my query string could contain "semantic placeholders", such as: [art] - some placeholder for articles (for example a / an in English) [sg], [do sg] - some placeholders for NPs and VPs (subjects and predicates) I would like to develop a library which would be capable to handle these queries efficiently. I suspect that some kind of POS-tagging would be necessary for parsing the text, but because I don't want to fully reimplement an already existing full-text search engine to make it work, I'm considering that how could I integrate this behaviour into a search engine like Lucene? I know there are SpanQueries which could behave similarly in some cases, but as I can see, Lucene doesn't do any semantic stuff with stored texts. It is possible to implement a behavior like this? Or do I have to write an own search engine?

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  • Search Engine Optimisation Companies Push PPC on Mobile Phones

    Search engine optimisation companies are now huddling various strategies to offer search engine optimisation services for mobile browsers. This rapidly growing trend can be clearly seen just by mobile phone users' behavior on how they use their cell phones. Search engines optimisation combined with PPC advertising for mobile gadgets can generate massive profits.

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  • MSDN Search Help

    - by George Evjen
    Looks like MSDN has made a change to their search. If you navigate to http://msdn.microsoft.com You will see their search on the top of the page. If you put in a search term, Silverlight DataBinding You will see results that are pulled from the forums of msdn, stackover flow and a few other places. You will also be able to see the number of replies to the thread and the threads that have been answered. Great resource..

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  • Local Search Engine Optimization - Why Use Local SEO?

    Local search engine optimization is the new optimization technique to help improve ones local efforts in your hometown or local areas a business does business. Local SEO is more useful for companies trying to gain new business within a smaller target range of 5-15 miles sometimes less sometimes more depending on the products or services one might provide to consumers. Local Search Engine Optimization and Normal Search Engine Optimization differs so hiring someone who specializes in local SEO is very important.

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  • Performance Enhancement in Full-Text Search Query

    - by Calvin Sun
    Ever since its first release, we are continuing consolidating and developing InnoDB Full-Text Search feature. There is one recent improvement that worth blogging about. It is an effort with MySQL Optimizer team that simplifies some common queries’ Query Plans and dramatically shorted the query time. I will describe the issue, our solution and the end result by some performance numbers to demonstrate our efforts in continuing enhancement the Full-Text Search capability. The Issue: As we had discussed in previous Blogs, InnoDB implements Full-Text index as reversed auxiliary tables. The query once parsed will be reinterpreted into several queries into related auxiliary tables and then results are merged and consolidated to come up with the final result. So at the end of the query, we’ll have all matching records on hand, sorted by their ranking or by their Doc IDs. Unfortunately, MySQL’s optimizer and query processing had been initially designed for MyISAM Full-Text index, and sometimes did not fully utilize the complete result package from InnoDB. Here are a couple examples: Case 1: Query result ordered by Rank with only top N results: mysql> SELECT FTS_DOC_ID, MATCH (title, body) AGAINST ('database') AS SCORE FROM articles ORDER BY score DESC LIMIT 1; In this query, user tries to retrieve a single record with highest ranking. It should have a quick answer once we have all the matching documents on hand, especially if there are ranked. However, before this change, MySQL would almost retrieve rankings for almost every row in the table, sort them and them come with the top rank result. This whole retrieve and sort is quite unnecessary given the InnoDB already have the answer. In a real life case, user could have millions of rows, so in the old scheme, it would retrieve millions of rows' ranking and sort them, even if our FTS already found there are two 3 matched rows. Apparently, the million ranking retrieve is done in vain. In above case, it should just ask for 3 matched rows' ranking, all other rows' ranking are 0. If it want the top ranking, then it can just get the first record from our already sorted result. Case 2: Select Count(*) on matching records: mysql> SELECT COUNT(*) FROM articles WHERE MATCH (title,body) AGAINST ('database' IN NATURAL LANGUAGE MODE); In this case, InnoDB search can find matching rows quickly and will have all matching rows. However, before our change, in the old scheme, every row in the table was requested by MySQL one by one, just to check whether its ranking is larger than 0, and later comes up a count. In fact, there is no need for MySQL to fetch all rows, instead InnoDB already had all the matching records. The only thing need is to call an InnoDB API to retrieve the count The difference can be huge. Following query output shows how big the difference can be: mysql> select count(*) from searchindex_inno where match(si_title, si_text) against ('people')  +----------+ | count(*) | +----------+ | 666877 | +----------+ 1 row in set (16 min 17.37 sec) So the query took almost 16 minutes. Let’s see how long the InnoDB can come up the result. In InnoDB, you can obtain extra diagnostic printout by turning on “innodb_ft_enable_diag_print”, this will print out extra query info: Error log: keynr=2, 'people' NL search Total docs: 10954826 Total words: 0 UNION: Searching: 'people' Processing time: 2 secs: row(s) 666877: error: 10 ft_init() ft_init_ext() keynr=2, 'people' NL search Total docs: 10954826 Total words: 0 UNION: Searching: 'people' Processing time: 3 secs: row(s) 666877: error: 10 Output shows it only took InnoDB only 3 seconds to get the result, while the whole query took 16 minutes to finish. So large amount of time has been wasted on the un-needed row fetching. The Solution: The solution is obvious. MySQL can skip some of its steps, optimize its plan and obtain useful information directly from InnoDB. Some of savings from doing this include: 1) Avoid redundant sorting. Since InnoDB already sorted the result according to ranking. MySQL Query Processing layer does not need to sort to get top matching results. 2) Avoid row by row fetching to get the matching count. InnoDB provides all the matching records. All those not in the result list should all have ranking of 0, and no need to be retrieved. And InnoDB has a count of total matching records on hand. No need to recount. 3) Covered index scan. InnoDB results always contains the matching records' Document ID and their ranking. So if only the Document ID and ranking is needed, there is no need to go to user table to fetch the record itself. 4) Narrow the search result early, reduce the user table access. If the user wants to get top N matching records, we do not need to fetch all matching records from user table. We should be able to first select TOP N matching DOC IDs, and then only fetch corresponding records with these Doc IDs. Performance Results and comparison with MyISAM The result by this change is very obvious. I includes six testing result performed by Alexander Rubin just to demonstrate how fast the InnoDB query now becomes when comparing MyISAM Full-Text Search. These tests are base on the English Wikipedia data of 5.4 Million rows and approximately 16G table. The test was performed on a machine with 1 CPU Dual Core, SSD drive, 8G of RAM and InnoDB_buffer_pool is set to 8 GB. Table 1: SELECT with LIMIT CLAUSE mysql> SELECT si_title, match(si_title, si_text) against('family') as rel FROM si WHERE match(si_title, si_text) against('family') ORDER BY rel desc LIMIT 10; InnoDB MyISAM Times Faster Time for the query 1.63 sec 3 min 26.31 sec 127 You can see for this particular query (retrieve top 10 records), InnoDB Full-Text Search is now approximately 127 times faster than MyISAM. Table 2: SELECT COUNT QUERY mysql>select count(*) from si where match(si_title, si_text) against('family‘); +----------+ | count(*) | +----------+ | 293955 | +----------+ InnoDB MyISAM Times Faster Time for the query 1.35 sec 28 min 59.59 sec 1289 In this particular case, where there are 293k matching results, InnoDB took only 1.35 second to get all of them, while take MyISAM almost half an hour, that is about 1289 times faster!. Table 3: SELECT ID with ORDER BY and LIMIT CLAUSE for selected terms mysql> SELECT <ID>, match(si_title, si_text) against(<TERM>) as rel FROM si_<TB> WHERE match(si_title, si_text) against (<TERM>) ORDER BY rel desc LIMIT 10; Term InnoDB (time to execute) MyISAM(time to execute) Times Faster family 0.5 sec 5.05 sec 10.1 family film 0.95 sec 25.39 sec 26.7 Pizza restaurant orange county California 0.93 sec 32.03 sec 34.4 President united states of America 2.5 sec 36.98 sec 14.8 Table 4: SELECT title and text with ORDER BY and LIMIT CLAUSE for selected terms mysql> SELECT <ID>, si_title, si_text, ... as rel FROM si_<TB> WHERE match(si_title, si_text) against (<TERM>) ORDER BY rel desc LIMIT 10; Term InnoDB (time to execute) MyISAM(time to execute) Times Faster family 0.61 sec 41.65 sec 68.3 family film 1.15 sec 47.17 sec 41.0 Pizza restaurant orange county california 1.03 sec 48.2 sec 46.8 President united states of america 2.49 sec 44.61 sec 17.9 Table 5: SELECT ID with ORDER BY and LIMIT CLAUSE for selected terms mysql> SELECT <ID>, match(si_title, si_text) against(<TERM>) as rel  FROM si_<TB> WHERE match(si_title, si_text) against (<TERM>) ORDER BY rel desc LIMIT 10; Term InnoDB (time to execute) MyISAM(time to execute) Times Faster family 0.5 sec 5.05 sec 10.1 family film 0.95 sec 25.39 sec 26.7 Pizza restaurant orange county califormia 0.93 sec 32.03 sec 34.4 President united states of america 2.5 sec 36.98 sec 14.8 Table 6: SELECT COUNT(*) mysql> SELECT count(*) FROM si_<TB> WHERE match(si_title, si_text) against (<TERM>) LIMIT 10; Term InnoDB (time to execute) MyISAM(time to execute) Times Faster family 0.47 sec 82 sec 174.5 family film 0.83 sec 131 sec 157.8 Pizza restaurant orange county califormia 0.74 sec 106 sec 143.2 President united states of america 1.96 sec 220 sec 112.2  Again, table 3 to table 6 all showing InnoDB consistently outperform MyISAM in these queries by a large margin. It becomes obvious the InnoDB has great advantage over MyISAM in handling large data search. Summary: These results demonstrate the great performance we could achieve by making MySQL optimizer and InnoDB Full-Text Search more tightly coupled. I think there are still many cases that InnoDB’s result info have not been fully taken advantage of, which means we still have great room to improve. And we will continuously explore the area, and get more dramatic results for InnoDB full-text searches. Jimmy Yang, September 29, 2012

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  • Searching Your PL/SQL Source with Oracle SQL Developer

    - by thatjeffsmith
    Version 3.2.1 included a few tweaks along with several hundred bug fixes. One of those tweaks was the addition of ‘ALL_SOURCE’ as a selection for the Type drop down in the Find Database Object panel. Scroll ALL the way down to the bottom Searching the database for your code or objects can be expensive. The ALL_SOURCE view comes in pretty handy when I want to demo how to cancel long running queries or the Task Progress panel – did you know you can manage all of your long running queries here? Yeah, don’t run this I pretty much hosed our demo pod at Open World b/c I ran that same query but added an ORDER BY b.TEXT DESC to the query and blew up the TEMP space and filled the primary partition on the image. Fun stuff. Anyways, where was I going with this? Oh yeah, searching ALL_SOURCE can be expensive. So we took it out of the product for awhile. And now it’s back in. If you select the ‘ALL’ field, it doesn’t actually search EVERYTHING, because that would probably be less than helpful. So if you want to search your PL/SQL objects for a scrap or bit of code, use the ‘ALL_SOURCE’ option in v3.2.1 Double-Click on the search results to go to the code you’re looking for. Be careful what you search for. Just like any query, it could take awhile.

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  • How to Search for (and Find) Solaris Docs

    - by rickramsey
    Just the other day, I went to the recently-released Oracle Solaris 11 library to search for information about the print service changes. I knew there had been changes in Oracle Solaris 11, but could not remember the new approach to printing. So, being the optimist that I (never) am, I went to the Oracle Solaris 11 Information Library on docs.oracle.com and typed "print service" into the search box. Imagine my surprise when the response back was: We did not find any search results for: print service site:download.oracle.com url:/docs/cd/E23824_01. OMG! WTF? Are you kidding me? After throwing a few stuffed animals at my computer screen, I tried again. Is search broken? Well, sort of (and I'm trying to get it fixed). In the meantime, however, there is a reasonably simple user workaround. Possibly unnoticed by most people, there is a Within drop-down menu on the Oracle search results page. If you simply open the Within menu, select Documentation, and click the little magnifying glass again, you (should) get the expected results. Is it perfect? No, but at least it's an improvement over being completely broken. - Janice Critchlow, Information Architect, Systems Website Newsletter Facebook Twitter

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  • Visual Studio search feature does not seem to be searching for text in CSS files [migrated]

    - by aspdotnetuser
    I noticed that when using Visual Studio's 'Find in files' search feature, it does not appear to search/find text in CSS files even though the text does exist. I can't find anything on the net regarding this issue and cannot determine even if Visual Studio allows you to search for text within CSS files. Hopefully someone can shed some light on this; Is it supposed to allow you to do this? If so, what reasons would explain why this is not working?

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  • Multilingual Search Engine

    Users can formulate a question in any language and receive a precise answer in the same language Web search engine - Search - Language - Google - Web Design and Development

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  • Search Engine Optimization

    Search Engine Optimization is a process by which a website is improved so that it can be more easily found by search engines, rank higher on search engine results and be found by its target audience.... [Author: Sarah Gibson - Web Design and Development - March 30, 2010]

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  • How to dynamically insert a keyword in an Amazon Search Widget

    - by ElHaix
    Through Amazon Associates, you can create search widgets that have a place for a search term. In the admin, you can set the default search term, but that seems to be tied to the widget ID. I would like to be able to dynamically set the search term for the widget when it is displayed. How can I accomplish this? Note: I am referring to the following banner script: <SCRIPT charset="utf-8" type="text/javascript" src="http://ws-na.amazon-adsystem.com/widgets/q?rt=tf_sw&ServiceVersion=20070822&MarketPlace=CA&ID=V20070822%2FCA%2F[PARTNER-ID]%2F8002%2F84cb1754-d9ab-48de-b96b-574927fa9599"> </SCRIPT> <NOSCRIPT><A HREF="http://ws-na.amazon-adsystem.com/widgets/q?rt=tf_sw&ServiceVersion=20070822&MarketPlace=CA&ID=V20070822%2FCA%2F[PARTNER-ID]%2F8002%2F84cb1754-d9ab-48de-b96b-574927fa9599&Operation=NoScript">Amazon.ca Widgets</A></NOSCRIPT>

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  • Best way to prevent Google from indexing a directory [duplicate]

    - by Gkhan14
    This question already has an answer here: Stopping Google index some web pages I have 5 answers I've researched many methods on how to prevent Google/other search engines from crawling a specific directory. The two most popular ones I've seen are: Adding it into the robots.txt file: Disallow: /directory/ Adding a meta tag: <meta name="robots" content="noindex, nofollow"> Which method would work the best? I want this directory to remain "invisible" from search engines so it does not affect any of my site's ranking. In other words, I want this directory to be neutral/invisible and "just there." I don't want it to affect any ranking. Which method would be the best to achieve this?

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  • ColdFusion Search with Excel Sheet creation

    - by user71602
    I created a form search with two buttons - one for results on the web page and one to create an excel sheet. Problem: When a user conducts a search with results on the web page - the user would have to select the criteria again then click the create excel button to create the sheet. How can I work it, so the user after conducting a search can just click one button to create the excel sheet? (Using "Post" for the form)

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  • How do search engines handle hyphenated words?

    - by NinjaKC
    I am not sure my title fully explains what I mean. I thought this might be an interesting question. If I had a set of keywords, broken with a dash or 2, will search engines consider the dashed split keyword as maybe a full keyword? Say I have a site that sort of breaks words down, like the dictionary sites do. So a keyword for that page, might end up in the page, and / or the URL, as broken by dashes. Key-word = keyword Co-op-er-at-ive = cooperative Pho-to-gra-phy = Photography www.example.com/key-word/ www.example.com/co-op-er-at-ive/ www.example.com/pho-to-gra-phy/ I know search engines will consider a dash (at least Google) as a space, and understand it as multiple words. But in the English language, a dash can also break a word down (at least I think it can, can't it?), so will search engines also take this into consideration? I did a 'little' research, I Googled some words and placed random dashes, and it returned the words I searched for, but this could be considered a typo from the user on Google's search end, so really I am wondering if I can purposely put a dash in a keyword, and have the search engine spiders still catch that keyword as the real word without dashes? I've done a little Googling and looking here on Stackoverflow, but everything comes down to dashes for multiple words, not really the specific thing I'm trying to figure out. Hopefully that makes sense, I am not an expert in SEO, yet, but get the basics and have been playing, and this is just really a random question to satisfy my knowledge of playing :P

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  • The Skinny on How Search Engines Work

    For the uninitiated, the way search engines work seems like magic. You type in a keyword or phrase, then in a blink of an eye, websites that match what you are looking for turn up. If you didn't know better, you'd swear it was an act of God. But since acts of God manifest as natural disasters rather than search engine results, the question remains, how do search engines work?

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  • Website Optimisation - The Impact of Blended Real-time Search So Far

    Despite the initial hype surrounding the introduction of blended real-time search into internet search engines, many experts have begun to question its value to website optimisation. Real time search has been widely criticised as a cause of SERP clutter, making pages appears chaotic and leaving the user struggling to decide which links may actually provide the information they are after.

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  • How to implement fast search on Azure Blob?

    - by Vicky
    I am done with writing the code to upload files (text files) to azure blob storage. Now I want to provide search based on text files content. For ex. If I search for "Hello" then the name of files that contains "Hello" words should appear in search result. Here my code to search class BlobSearch { static void Main(string[] args) { string searchText = "Hello"; CloudStorageAccount account = CloudStorageAccount.Parse(azureConString); CloudBlobClient blobClient = account.CreateCloudBlobClient(); CloudBlobContainer blobContainer = blobClient.GetContainerReference("MyBlobContainer"); blobContainer.FetchAttributes(); var blobItemList = blobContainer.ListBlobs(); foreach (var item in blobItemList) { string line = string.Empty; CloudBlockBlob blockBlob = blobContainer.GetBlockBlobReference(item.Uri.ToString()); if(blockBlob.Name.Contains(".txt")) { int lineno = 1; using (var stream = blockBlob.OpenRead()) { using (StreamReader reader = new StreamReader(stream)) { while ((line = reader.ReadLine()) != null) { if (line.IndexOf(searchText) != -1) { Console.WriteLine("Line : " + lineno +" => "+ blockBlob.Name); } lineno++; } } } } } Console.WriteLine("SEARCH COMPLETE"); Console.ReadLine(); } } Above code is working but it is too slow. Is there any way to do it faster or Can improve above code.

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  • Best place to request Ubuntu for a minor improvement (In Unity dash search)

    - by mac
    Which is the best place to request Ubuntu for a minor improvement? My request feature is this : In Ubuntu dash when I search for "Upd" it gives me update manager and some other files. Now when I click enter by default the first entry will be selected. Can we make this a slightly better experience by highlighting the first item in search results which will be selected by default if we press enter - Just like in Gnome shell Search for upd in unity dash Search for upd in gnome-shell If you notice, update manager is highlighted by default in gnome shell and appears more intuitive. Can we implement the same in Unity ? Sorry for posting this in askubuntu. I just wanted to know which is the best place to discuss this. Thanks

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  • Search Engine Optimization Tutorial

    A search engine optimization tutorial is nothing but a manual that educates you on how to go about the processes of search engine optimization. Though it sounds complicated, search engine optimization is not so difficult to carry out and with proper training you can do it too.

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  • Lightning fast forum based around metadata / tags? [closed]

    - by Dan W
    Possible Duplicate: What Forum Software should I use? I wonder if anything like this exists. I'd like to add a forum to my site, but instead of the usual forum/subforum/sub-subforum structure, I'd like to use a metadata/tag approach where everything exists as a single directory, and where there's a search field at the top which instantly (<0.5 sec) filters the threads to a particular keyword or keywords. Also, as the admin, I would be able to add highly visible buttons at the top, which can be clicked on for the main categories I choose for the forum (nevertheless, users can also add tags to their own threads outside of these default main tags I supply if they wish). This approach, if done properly, is more powerful, efficient, maintenance free, scalable and friendly than a standard forum, so I was hoping someone had the same idea and made something out of it. It couldn't be that hard. I'd want the speed to be up to (or near) the standard of this: http://forum.dlang.org/ Other forums (e.g.: phpBB) are orders of magnitude worse than that in terms of latency (posting or browsing), and I think that is wrong, even in principle ;)

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  • Google search question, front page not showing...

    - by Catelyn
    I know this is probably a dumb question but I hope someone can give me some insight; I was ranked on Google first page of search results for "funny st patricks day shirts" but I was third from the bottom and not familiar enough with SEO, so I signed up for "Attracta" to rank higher. Big mistake. Since using Attracta, I've lost the first page and I'm now on the fourth page in that search. What I noticed is that Google is now just showing a sub-page or side page, (a link from my front page, to a page which has only a few designs in it) this is not where I would want customers to land first... but my front page is not showing in that search anymore. Obviously, the title of this side page is not geared toward that search result, so I know that's why I have the pr drop. Why is my front page not ranking over that page, though? Why is it apparently gone from that search, or so far back no one will ever find it? I need to know how to fix this quick if anyone has any advice at all for me. It's the busiest season for my website and the people who were stealing design ideas from me are all ranked higher than my site now. (I can prove this, lol) So, I'm very frustrated by that. I would be very grateful to have any advice at all as to what I can do to fix this. THANKS in advance for any advice you can offer. Catelyn

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