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  • Interview question: How would you implement Google Search?

    - by ripper234
    Supposed you were asked in an interview "How would you implement Google Search?" How would you answer such a question? There might be resources out there that explain how some pieces in Google are implemented (BigTable, MapReduce, PageRank, ...), but that doesn't exactly fit in an interview. What overall architecture would you use, and how would you explain this in a 15-30 minute time span? I would start with explaining how to build a search engine that handles ~ 100k documents, then expand this via sharding to around 50M docs, then perhaps another architectural/technical leap. This is the 20,000 feet view. What I'd like is the details - how you would actually answer that in an interview. Which data structures would you use. What services/machines is your architecture composed of. What would a typical query latency be? What about failover / split brain issues? Etc...

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  • Unity Search Not Working

    - by greggory.hz
    When I attempt a search after hitting Super, the spinner spins, but no results come up once the spinning stops. I'm not sure what changed that caused this. I had a newer kernel installed, but I have since reverted back to the default kernel. I also followed this guide: http://www.webupd8.org/2011/04/how-to-reset-unity-launcher-icons-or.html Alt+F2 does not work. The packages unity-place-applications and unity-place-files are installed. But search still doesn't function correctly.

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  • I'm trying to build a query to search against a fulltext index in mysql

    - by Rockinelle
    The table's schema is pretty simple. I have a child table that stores a customer's information like address and phone number. The columns are user_id, fieldname, fieldvalue and fieldname. So each row will hold one item like phone number, address or email. This is to allow an unlimited number of each type of information for each customer. The people on the phones need to look up these customers quickly as they call into our call center. I have experimented with using LIKE% and I'm working with a FULLTEXT index now. My queries work, but I want to make them more useful because if someone searches for a telephone area code like 805 that will bring up many people, and then they add the name Bill to narrow it down, '805 Bill'. It will show EVERY customer that has 805 OR Bill. I want it to do AND searches across multiple rows within each customer. Currently I'm using the query below to grab the user_ids and later I do another query to fetch all the details for each user to build their complete record. SELECT DISTINCT `user_id` FROM `user_details` WHERE MATCH (`fieldvalue`) AGAINST ('805 Bill') Again, I want to do the above query against groups of rows that belong to a single user, but those users have to match the search keywords. What should I do?

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  • Revamped Joomla site to Google search engine

    - by user3127632
    I am about to upload a revamped site of Joomla (update from 1.5 to 2.5 + changes). I currently have a test bed subdomain that I am currently working on. In few days I am about to do the swap and replace the old site with the new one. I am worrying about Search Engines and specifically Google. The site currently has a very good rank (appears 2nd in the search), what actions do I have to take in order to be updated and preserve the rank? (except submitting the new sitemap I guess). It's not a difficult task but because I don't have the option to be wrong or mistakes to be done I an asking for a more "expert" advice.

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  • best/simplest way to inform search engine of sitemap location

    - by Don
    AFAIK, there are 2 ways to make search engines aware of a sitemap's location: Include an absolute link to it in robots.txt Submit it to them directly. The relevant URLs are: http://www.google.com/webmasters/tools/ping?sitemap=SITEMAP_URL http://www.bing.com/webmaster/ping.aspx?sitemap=SITEMAP_URL Where SITEMAP_URL is the absolute URL of the sitemap. Currently, I do both. Regarding (2), I have a job that runs automatically every day which submits the sitemap to Bing and Google. I don't think there's any reason to do (1) and (2), but I'm paranoid, so I do. I imagine you can avoid both (1) and (2) if you just make your sitemap accessible at a conventional URL (like robots.txt). What's the simplest and most reliable way to ensure that search engines can find your sitemap?

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  • Google web search shows dateCreated instead of dateModified metadata

    - by LonelyPixel
    So today I discovered that the pages from my website are listed with an unexpected date value. I specify the schema.org properties dateCreated and dateModified for most of my content pages. I'd expect that search results show me when a page was last updated, to get a sense of the currency of the page. But it's showing the date of first publishing which may be years ago. That's a bit unsatisfying but I don't want to misuse the metadata because Google probably reads it wrong. Some search terms for you to try it out: "gitrevisiontool"; "easyxml"; "multiselecttreeview" (look for the results on dev.unclassified.de; the human- and machine-readable dates come at the end of the page) Does anybody know more about what's wrong here? Or does it work as designed? (What a stupid design that would be.)

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  • Web Search for a Hard Drive

    - by zecougar
    Here is the situation. Our organization has a fair amount of data in the form of documents, images, videos stored on a intranet server. We need to be able to expose these documents via some sort of search functionality on the intranet. Provide some mechanism to organize and tag the documents on hard disk. Ideally we'd also like to provide a unified search across documents on the google apps for business instance that we have. Any ideas on how to approach this problem ?

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  • Search Result Organization

    - by Vecta
    I'm creating an AJAX live search on a website I'm working on. Users will select values from a few dropdowns and a list of products will be returned based on what they select. Some possible fields would be: color, model, make, etc. What type of organization of search results do users tend to find most useful? Is it better to lump them all together (alphabatized) or is it more useful to lump them together by make? In the past I've tended to group them by "make" but I'm not concerned that this will continually force some items with a make toward the end of the alphabet always to the bottom of the list. Any tips are greatly appreciated.

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  • Search for odt files without indexing

    - by josinalvo
    I am looking for: a way to search inside odt files (i.e. search for contents, not name) that does not require any kind of indexing that is graphical and very user-friendly (for a relatively old person, who does not like computers much) I know that it is possible to have 1) and 2): for x in `find . -iname '*odt'`; do odt2txt $x | grep Query; done works well enough, and it's pretty fast. But I wonder if there is already a good solution that does this with a GUI (or can be adapted to do this easily)

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  • How to prevent form submission for a form using onchange to submit the form when certain values are

    - by Terrence Brannon
    I have a form I have built: <form class="myform" action="cgi.pl"> <select name="export" onchange='this.form.submit()'> <option value="" selected="selected">Choose an export format</option> <option value="html">HTML</option> <option value="csv">CSV</option> </select> </form> Now, this form works fine if I pull down and select "HTML" or "CSV". But if I hit the back button and select "Choose an export format", the form is submitted, even though I dont want it to be. Is there any way to prevent form submission for that option?

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  • Search Engine Optimization For Great Search Engine Placement!

    Do you do enough search engine optimization to get the search engine placement that you want for the keywords that you want to rank for? If not then read on and I will give you information that you need to know to start getting those rankings that you want, and start receiving traffic! There are a few things I will be going over in this article.

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  • Search Engine Optimization For Beginners - How to Write Search Engine Friendly Articles

    If you're planning to implement Search Engine Optimization as an Internet Marketing strategy to boost your site's online coverage then you need to focus one of the most important steps to produce quality results -- writing content. There is more to writing articles or Web content than just stuffing it full of keywords just to make it easy for search engine to find your page and put you on top. There are certain rules to be followed in order for this to be an effective strategy for your SEO.

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  • How to recover my inclusion in google results after being penalized for receiving comment spam?

    - by UXdesigner
    My website had very high search engine results, especially in Google. But I left the website for a couple of months and didn't notice the comments were full of SPAM, about 20k comments of SPAM. Then i checked my google results and I'm out of google ! After years of having good results, no spam, how can I now recover from that? The spam problem has been solved completely. No more spam, and the website is very legit and very nice. Well, at least I think I was penalized, I don't see any other reason.

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  • Search selected text in Firefox

    - by Jeremy Rudd
    What are the different Firefox extensions that can start a search with the selected text? Firefox has an inbuilt feature to search using the currently selected engine. Select any text Right click the selection Search Google for ... I'm looking for something that will let me choose which search engine I want to search with, from my current list of installed search engines.

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  • Single page not appearing in Google Search

    - by Dan
    Description I have a static franchise website which has various sub pages each dedicated to an individual franchisee. For each franchisee the page, the only thing slightly similar between all of them are the page titles, they follow this structure: <title> Welcome to THE_COMPANY - PRODUCT_DESCRIPTION Services, THE_LOCATION </title> THE_COMPANY and PRODUCT_DESCRIPTION are the same across all franchisees, however THE_LOCATION changes depeding on where they are located in the UK. Each franchisee page has the following <meta /> tags: <meta name="DC.creator" content="user"/> <meta name="DC.format" content="text/html"/> <meta name="DC.language" content="en"/> <meta name="DC.date.modified" content="2014-01-23T11:22:31+00:00"/> <meta name="DC.date.created" content="2014-01-23T11:22:09+00:00"/> <meta name="DC.type" content="Page"/> <meta name="DC.distribution" content="Global"/> <meta name="robots" content="ALL"/> <meta name="distribution" content="Global"/> The main content on each franchisee page is completely different. The Problem There is one particular franchisee page, located in Area A.. Which will not appear in Google Search results at all. However every single other franchisee (if you Google Search for "THE_COMPANY, THE_LOCATION" is number 1). And if I do the same search on Bing, Yahoo or DuckDuckGo, the Area A franchisee is the first result on all of them. Has Google for some reason black listed one page on the site? What I Have Tried Ensuring the page is referenced in my sitemap.xml file 'Fetching as Google Bot' the link www.the_company.co.uk/areaa When that came back as OK I would submit to index Resubmitting the sitemap.xml file in Webmaster Tools Linking to the Area A page from another pages content For this I also waited about 3 weeks before checking again to give Google time to re-index Making a change to the page content and waiting another 2 / 3 weeks Removing the page completely and recreating it with an alternative URL The closest thing I have found to this issue is this StackOverflow question but this particular franchisee has existed for almost a year, it used to appear on Google searches however no longer does. I'm guessing the Panda update wasn't too happy with something on the page, but it hasn't effected anything else on the site and I am at a loss for things to try. I would greatly appreciate any information or thoughts as to what could have caused this Thanks. Update In line with Daniel Fukudas answer below, I have followed some of his steps but everything seems to check out alright: HTTP Headers HTTP/1.1 200 OK => Date => Tue, 25 Feb 2014 16:31:29 GMT Server => Zope/(2.12.16, python 2.6.6, linux2) ZServer/1.1 Content-Length => 40078 Expires => Sat, 01 Jan 2000 00:00:00 GMT Content-Type => text/html;charset=utf-8 Content-Language => en Vary => Accept-Encoding Connection => close Robots <meta /> tag: <meta name="robots" content="ALL"/> I have updated this <meta /> tag to read content="INDEX" instead now. robots.txt: User-agent: * Disallow: User-Agent: Googlebot Disallow: /*sendto_form$ Disallow: /*folder_factories$ Using site:THE_COMPANY.co.uk: Searching for 'AREA A site:THE_COMPANY.co.uk' does not return the page, but regardless of that searching just for site:THE_COMPANY.co.uk will not necessarily return every indexed page, or so I understand... Update It appears Google likes to drop pages every now and then from the index, despite my steps above, I left the site alone and the page appeared back in the SERPs by itself.

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  • Consumer Oriented Search In Oracle Endeca Information Discovery – Part 1

    - by Bob Zurek
    Information Discovery, a core capability of Oracle Endeca Information Discovery, enables business users to rapidly search, discover and navigate through a wide variety of big data including structured, unstructured and semi-structured data. One of the key capabilities, among many, that differentiate our solution from others in the Information Discovery market is our deep support for search across this growing amount of varied big data. Our method and approach is very different than classic simple keyword search that is found in may information discovery solutions. In this first part of a series on the topic of search, I will walk you through many of the key capabilities that go beyond the simple search box that you might experience in products where search was clearly an afterthought or attempt to catch up to our core capabilities in this area. Lets explore. The core data management solution of Oracle Endeca Information Discovery is the Endeca Server, a hybrid search-analytical database that his highly scalable and column-oriented in nature. We will talk in more technical detail about the capabilities of the Endeca Server in future blog posts as this post is intended to give you a feel for the deep search capabilities that are an integral part of the Endeca Server. The Endeca Server provides best-of-breed search features aw well as a new class of features that are the first to be designed around the requirement to bridge structured, semi-structured and unstructured big data. Some of the key features of search include type a heads, automatic alphanumeric spell corrections, positional search, Booleans, wildcarding, natural language, and category search and query classification dialogs. This is just a subset of the advanced search capabilities found in Oracle Endeca Information Discovery. Search is an important feature that makes it possible for business users to explore on the diverse data sets the Endeca Server can hold at any one time. The search capabilities in the Endeca server differ from other Information Discovery products with simple “search boxes” in the following ways: The Endeca Server Supports Exploratory Search.  Enterprise data frequently requires the user to explore content through an ad hoc dialog, with guidance that helps them succeed. This has implications for how to design search features. Traditional search doesn’t assume a dialog, and so it uses relevance ranking to get its best guess to the top of the results list. It calculates many relevance factors for each query, like word frequency, distance, and meaning, and then reduces those many factors to a single score based on a proprietary “black box” formula. But how can a business users, searching, act on the information that the document is say only 38.1% relevant? In contrast, exploratory search gives users the opportunity to clarify what is relevant to them through refinements and summaries. This approach has received consumer endorsement through popular ecommerce sites where guided navigation across a broad range of products has helped consumers better discover choices that meet their, sometimes undetermined requirements. This same model exists in Oracle Endeca Information Discovery. In fact, the Endeca Server powers many of the most popular e-commerce sites in the world. The Endeca Server Supports Cascading Relevance. Traditional approaches of search reduce many relevance weights to a single score. This means that if a result with a good title match gets a similar score to one with an exact phrase match, they’ll appear next to each other in a list. But a user can’t deduce from their score why each got it’s ranking, even though that information could be valuable. Oracle Endeca Information Discovery takes a different approach. The Endeca Server stratifies results by a primary relevance strategy, and then breaks ties within a strata by ordering them with a secondary strategy, and so on. Application managers get the explicit means to compose these strategies based on their knowledge of their own domain. This approach gives both business users and managers a deterministic way to set and understand relevance. Now that you have an understanding of two of the core search capabilities in Oracle Endeca Information Discovery, our next blog post on this topic will discuss more advanced features including set search, second-order relevance as well as an understanding of faceted search mechanisms that include queries and filters.  

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  • How to target just one search engine and optimise for that

    - by mickburkejnr
    I've been dabbling with SEO a lot in the last 6 months, and one thing that has surprised me is the disparity between Google and Bing in the way they deliver results. A website ranked for a specific keyword/phrase on Google may rank 3rd on the first page, but using the same keyword/phrase on Bing will display the same website but ranked 15th for the exact same keyword/phrase. I came up with the idea to increase traffic to my website by targetting Bing instead of Google for several reasons. The biggest one is that while it's not the biggest search provider, people still use it, and I feel that if other websites have been "neglected" and not optimised for Bing my website would stand a better chance of getting near the top of their search rankings. The question is though how would I do this? A lot of the SEO advice on the internet is generic, but I can't help feeling it's Google orientated for obvious reasons. How could I optimise my website to be Bing friendly, rather than Google friendly? I know it sounds like suicide as I'm taking myself out of the Google mindset, but I feel it could work wonders for traffic to the site.

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  • SearchServer2008Express Search Webservice

    - by Mike Koerner
    I was working on calling the Search Server 2008 Express search webservice from Powershell.  I kept getting <ResponsePacket xmlns="urn:Microsoft.Search.Response"><Response domain=""><Status>ERROR_NO_RESPONSE</Status><DebugErrorMessage>The search request was unable to connect to the Search Service.</DebugErrorMessage></Response></ResponsePacket>I checked the user authorization, the webservice search status, even the WSDL.  Turns out the URL for the SearchServer2008 search webservice was incorrect.  I was calling $URI= "http://ss2008/_vti_bin/spsearch.asmx?WSDL"and it should have been$URI= "http://ss2008/_vti_bin/search.asmx?WSDL"Here is my sample powershell script:# WSS Documentation http://msdn.microsoft.com/en-us/library/bb862916.aspx$error.clear()#Bad SearchServer2008Express Search URL $URI= "http://ss2008/_vti_bin/spsearch.asmx?WSDL"#Good SearchServer2008Express Search URL $URI= "http://ss2008/_vti_bin/search.asmx?WSDL"$search = New-WebServiceProxy -uri $URI -namespace WSS -class Search -UseDefaultCredential $queryXml = "<QueryPacket Revision='1000'>  <Query >    <SupportedFormats>      <Format revision='1'>urn:Microsoft.Search.Response.Document.Document</Format>    </SupportedFormats>    <Context>      <QueryText language='en-US' type='MSSQLFT'>SELECT Title, Path, Description, Write, Rank, Size FROM Scope() WHERE CONTAINS('Microsoft')</QueryText>      <!--<QueryText language='en-US' type='TEXT'>Microsoft</QueryText> -->    </Context>  </Query></QueryPacket>" $statusResponse = $search.Status()write-host '$statusResponse:'  $statusResponse $GetPortalSearchInfo = $search.GetPortalSearchInfo()write-host '$GetPortalSearchInfo:'  $GetPortalSearchInfo $queryResult = $search.Query($queryXml)write-host '$queryResult:'  $queryResult

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  • SEO and external sites that serve responsive images (like Re-SRC)

    - by Baumr
    Re-SRC is a tool that allows you to automatically serve responsive images for your website from their cloud servers. It delivers a new image file each time the browser window (viewport) is resized. To use it in your HTML when linking to an image, you would do the following: <img src="http://app.resrc.it//www.your-domain.com/img/img001.jpg"/> Some more background for SEO considerations: As an example, looking at their demo page's code, the src of the Arc de Triomphe photo — when the browser window is resized to be at a tablet-width — shows this particular file at it's widest. It is found under the following URL: http://app4-uk.resrc.it/s=w560,pd1/ro=h//www.resrc.it/img/demo/demo-image-1.jpg If the viewport is increased to desktop-width, then a smaller image is served in line with the design; see this URL: http://app4-uk.resrc.it/s=w320,pd1/ro=h//www.resrc.it/img/demo/demo-image-1.jpg If I change the viewport to be about half-way between those two, then the image's URL is: http://app4-uk.resrc.it/s=w240,pd1/ro=h//www.resrc.it/img/demo/demo-image-1.jpg In other words, I found that there is a separate file for every 10-pixel increment of the image width. Very cool for saving bandwidth on mobile devices and service responsive/retina images on others, but... Here are two problems I see for SEO: The img on your site, part of your semantic markup, will not be hosted on your site at all, or even a server you control. Any links to these images will pass on "link juice" to Re-SRC's site instead. You are serving a vast array of different image files to different people — some may link to one, others to another size. Then there's the question of what different search engine crawlers will see. Also: There seems to be no fallback option if their servers are down. Do you see any other concerns? Or, perhaps, do you not see those as concerns?

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  • Search multiple tables

    - by gilden
    I have developed a web application that is used mainly for archiving all sorts of textual material (documents, references to articles, books, magazines etc.). There can be any given number of archive tables in my system, each with its own schema. The schema can be changed by a moderator through the application (imagine something similar to a really dumbed down version of phpMyAdmin). Users can search for anything from all of the tables. By using FULLTEXT indexes together with substring searching (fields which do not support FULLTEXT indexing) the script inserts the results of a search to a single table and by ordering these results by the similarity measure I can fairly easily return the paginated results. However, this approach has a few problems: substring searching can only count exact results the 50% rule applies to all tables separately and thus, mysql may not return important matches or too naively discards common words. is quite expensive in terms of query numbers and execution time (not an issue right now as there's not a lot of data yet in the tables). normalized data is not even searched for (I have different tables for categories, languages and file attatchments). My planned solution Create a single table having columns similar to id, table_id, row_id, data Every time a new row is created/modified/deleted in any of the data tables this central table also gets updated with the data column containing a concatenation of all the fields in a row. I could then create a single index for Sphinx and use it for doing searches instead. Are there any more efficient solutions or best practises how to approach this? Thanks.

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