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  • Custom internal search engine [migrated]

    - by nobody
    I am building a social network, and I need a simple internal search engine that will display a list of all website users starting with the ones that have the specific keyword in their username. So here is what i need: a search engine that will take a keyword. the search engine will open a new page with a list of all website users, displaying first the users that have the specific keyword in their username. display your username in the placeholder. So, here is what I have so far: <div class="logobox r"> <form method="post" action="../sity/search.php"> <!--will redirect you to a new page with a list of all website users.--> <input type="text" class="logo" name="searchUser" placeholder="<?php echo $comObj->getSession('username')?>"> <!--will take a keyword as a imput, and will display your username in the placeholder--> <button type="submit" class="sity" value="sity">sity</button> </form> </div> And here is the searchUser function: function searchUser($keyword) { $commObj = new common; $sql = "SELECT `id`,`username`, `profile_pic` FROM ".$this->tables['user']." WHERE `username` LIKE '%".$keyword."%' AND `id` <> ".$commObj->getSession('userid'); $result = $this->selectAll($sql); unset($this->rsa); return $result; } The problem is that when you click on the search box, instead of letting you to enter a keyword, the page will logout you from the website. I still can't figure out why. Here is the link to the website: www.sity.net Any suggestion will be highly appreciated. Thanks

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  • 10 Search Engine Optimization Tips and Secrets

    A recent research has proved that a huge number of people generally click at the top search results whenever they type in a keyword or they will simply go to another search engine for results. With that in mind each and every business is fighting its way to the top listings as they increase the chances of getting better traffic which is the main aim of search engine optimization.

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  • Getting Your Site on the First Page of the Search Engines Quickly

    Getting your website on the first page of a search engine results should be your main aim after creating it. No matter what subject your website deals with, you are sure to find numerous websites on the same topic. When anyone runs a search, it is important that your website features in the top three of the search results.

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  • What is Search Engine Optimization?

    As a regular browser, you may not be quite familiar with the term search engine optimization, but ask anyone involved with the process of developing a website and they will tell you how crucial it is for a website to do well. SEO is the process by which the traffic to your website is increased. To put it simply, it is like developing your website in a way that it is picked up by the search engines easily and therefore visible to users who search for related terms.

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  • Local Search Engine Marketing - Is it Necessary?

    As an entrepreneur our endeavor should be to represent our produces on the web aptly and appropriately. Search Engine Optimization is a set of techniques that improves the prospects of your website's visibility in search results produced by the leading search engines.

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  • Local Search Engine Marketing - Is it Necessary?

    As an entrepreneur our endeavor should be to represent our produces on the web aptly and appropriately. Search Engine Optimization is a set of techniques that improves the prospects of your website's visibility in search results produced by the leading search engines.

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  • Useful Tips For Website & Search Engine Optimization

    Search engine optimization popularly called 'SEO', is the process of increasing the ranking in search engines when someone types the keywords of related to your site. The site which has a higher ranking in the search engine compared to its competitor, will get the most traffic and obviously more sales.

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  • Some Important Information About Search Engine Optimization

    Search Engine Optimization or SEO, is one of the techniques which is used to make your own WebPages more useful and comfortable for your customers by making the WebPages more understandable and transparent to Search Engines. SEO is an economical method which favors your site to get more page views by forming WebPages that rank very high in Search Engine results.

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  • The Basics of Search Engine Optimization

    What is search engine optimization? Search engine optimization or 'SEO' for short is method of using keywords or phrases of keywords that are targeted for your site helping it to rank high in the search engine results. What this means is that when someone types a keyword or phrase that you have chosen to target your site should come out on top if done right.

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  • Html Element search in Firebug 13 !

    - by Anirudha
    Originally posted on: http://geekswithblogs.net/anirugu/archive/2013/10/26/html-element-search-in-firebug-13.aspxFirebug 13 are currently in development process. In firebug 13 you can search the element the way we do in CSS. This is much better and save time. Now just put your selector in search bar and now you are moving to your code.   In this picture I demo how I search a element of stackoverflow.com this is example of how this feature will work. If you want to use Firebug 13 then follow this blog post to get it https://blog.getfirebug.com/2013/10/25/firebug-1-13-alpha-4/

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  • Boosting Up Your Search Engine Ranking With SEO

    Why do websites need high search engine rankings? That's a question not many people can answer. You may think this is a silly question, especially if you are in the business of search engine marketing. Nonetheless, I think the majority of people really don't know much about using search engine marketing.

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  • Search Engine Optimization Terms

    By the time you complete this multiple lesson tutorial, you'll know just what it takes to score top search engine positions for your Web sites. You'll understand how search engines crawl the Web, how they rank Web sites, and how they find previously undiscovered sites. You'll master the important HTML tags that are your key to getting your sites on a search engine's radar, and you'll see why it's important to amass as many potential keywords as possible.

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  • How to Check Search Engine Ranking - 2 Methods

    There are four primary traffic routes leading to your website: direct visit, website referral, paid advertisement referral and search engine referral. A search engine referral means that your site came up high enough on the rankings of a search site like Google or Bing for someone to see your site and click on the link.

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  • What is SEO (Search Engine Optimization)?

    SEO in its most basic form is a series of steps taken to make a web site search engine friendly and have it show up in the search engines. At a more advanced level, SEO can be implemented to allow the web site in question to rank high in the search engines, preferably in the first few positions.

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  • How to add search.asmx web reference to webpart application in VS2008 ? facing problem.

    - by Lalit
    Hi, I am trying to create the custom search webpart. I want to use Enterprise Search Query Model (MOSS) . But unable to add the web reference of the search.asmx webservice. infact it has no WSDL file. just wondering about what setting it needs.... too If anybody know how to do, same. please let me know. you can find the search webservice at "http://:/sites//_vti_bin/spsearch.asmx" I tried by right cliking on project said Add Service Reference , inserts the url said Go , but nothis was there. same i tried with web aplication . but no effect. even i can see the methods in browser, but cannot generate WSDL ??

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  • Moving from Linear Probing to Quadratic Probing (hash collisons)

    - by Nazgulled
    Hi, My current implementation of an Hash Table is using Linear Probing and now I want to move to Quadratic Probing (and later to chaining and maybe double hashing too). I've read a few articles, tutorials, wikipedia, etc... But I still don't know exactly what I should do. Linear Probing, basically, has a step of 1 and that's easy to do. When searching, inserting or removing an element from the Hash Table, I need to calculate an hash and for that I do this: index = hash_function(key) % table_size; Then, while searching, inserting or removing I loop through the table until I find a free bucket, like this: do { if(/* CHECK IF IT'S THE ELEMENT WE WANT */) { // FOUND ELEMENT return; } else { index = (index + 1) % table_size; } while(/* LOOP UNTIL IT'S NECESSARY */); As for Quadratic Probing, I think what I need to do is change how the "index" step size is calculated but that's what I don't understand how I should do it. I've seen various pieces of code, and all of them are somewhat different. Also, I've seen some implementations of Quadratic Probing where the hash function is changed to accommodated that (but not all of them). Is that change really needed or can I avoid modifying the hash function and still use Quadratic Probing? EDIT: After reading everything pointed out by Eli Bendersky below I think I got the general idea. Here's part of the code at http://eternallyconfuzzled.com/tuts/datastructures/jsw_tut_hashtable.aspx: 15 for ( step = 1; table->table[h] != EMPTY; step++ ) { 16 if ( compare ( key, table->table[h] ) == 0 ) 17 return 1; 18 19 /* Move forward by quadratically, wrap if necessary */ 20 h = ( h + ( step * step - step ) / 2 ) % table->size; 21 } There's 2 things I don't get... They say that quadratic probing is usually done using c(i)=i^2. However, in the code above, it's doing something more like c(i)=(i^2-i)/2 I was ready to implement this on my code but I would simply do: index = (index + (index^index)) % table_size; ...and not: index = (index + (index^index - index)/2) % table_size; If anything, I would do: index = (index + (index^index)/2) % table_size; ...cause I've seen other code examples diving by two. Although I don't understand why... 1) Why is it subtracting the step? 2) Why is it diving it by 2?

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  • How do I fix the broken Windows 7 Search feature?

    - by jasonh
    I'm trying to search my Windows Home Server for .DS_Store files that my Mac littered the server with. Windows 7 reports there are no *.DS_Store files in a folder, even though I can see it with the Show hidden files and folders option turned on. What can I do to track all these files down on my server and wipe them out?

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  • Non-linear regression models in PostgreSQL using R

    - by Dave Jarvis
    Background I have climate data (temperature, precipitation, snow depth) for all of Canada between 1900 and 2009. I have written a basic website and the simplest page allows users to choose category and city. They then get back a very simple report (without the parameters and calculations section): The primary purpose of the web application is to provide a simple user interface so that the general public can explore the data in meaningful ways. (A list of numbers is not meaningful to the general public, nor is a website that provides too many inputs.) The secondary purpose of the application is to provide climatologists and other scientists with deeper ways to view the data. (Using too many inputs, of course.) Tool Set The database is PostgreSQL with R (mostly) installed. The reports are written using iReport and generated using JasperReports. Poor Model Choice Currently, a linear regression model is applied against annual averages of daily data. The linear regression model is calculated within a PostgreSQL function as follows: SELECT regr_slope( amount, year_taken ), regr_intercept( amount, year_taken ), corr( amount, year_taken ) FROM temp_regression INTO STRICT slope, intercept, correlation; The results are returned to JasperReports using: SELECT year_taken, amount, year_taken * slope + intercept, slope, intercept, correlation, total_measurements INTO result; JasperReports calls into PostgreSQL using the following parameterized analysis function: SELECT year_taken, amount, measurements, regression_line, slope, intercept, correlation, total_measurements, execute_time FROM climate.analysis( $P{CityId}, $P{Elevation1}, $P{Elevation2}, $P{Radius}, $P{CategoryId}, $P{Year1}, $P{Year2} ) ORDER BY year_taken This is not an optimal solution because it gives the false impression that the climate is changing at a slow, but steady rate. Questions Using functions that take two parameters (e.g., year [X] and amount [Y]), such as PostgreSQL's regr_slope: What is a better regression model to apply? What CPAN-R packages provide such models? (Installable, ideally, using apt-get.) How can the R functions be called within a PostgreSQL function? If no such functions exist: What parameters should I try to obtain for functions that will produce the desired fit? How would you recommend showing the best fit curve? Keep in mind that this is a web app for use by the general public. If the only way to analyse the data is from an R shell, then the purpose has been defeated. (I know this is not the case for most R functions I have looked at so far.) Thank you!

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  • Is Lucern.net good choice for website search of 1M item product database? (giving up on SQL Server

    - by Pete Alvin
    We currently have in production SQL Server 2005 and we use it's full text search for a eCommerce site search of a million product database. I've optimized it as much as possible (I think) and we're still seeing search times of five seconds. (We don't need site scrawl or PDF (etc.) document indexing features... JUST "Google" speed for site search.) I was going to buy dtSearch but now I realize I can just use Lucerne.net and save the $2,500 for two server license. I read on a post that Lucerne.Net is not good for website searches. Has anyone else used Lucerne.Net from ASP.Net? Does it take a lot of memory? Any problems? Any comments?

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  • How to search phrase queries in inverted index structure?

    - by Mehdi Amrollahi
    If we want to search a query like this "t1 t2 t3" (t1,t2 ,t3 must be queued) in an inverted index structure , which ways could we do ? 1-First we search the "t1" term and find all documents that contains "t1" , then do this work for "t2" and then "t3" . Then find documents that positions of "t1" , "t2" and "t3" are next to each other . 2-First we search the "t1" term and find all documents that contains "t1" , then in all documents that we found , we search the "t2" and next , in the result of this , we find documents that contains "t3" . thanks .

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