Google should open source what actually matters: their search ranking algorithm
by marcoWebsites live or die based on how a small group of programmers at Google decide their sites should rank in Google’s main search results.
Websites live or die based on how a small group of programmers at Google decide their sites should rank in Google’s main search results.
To do this, it needs to have access to the individual pixels of the images it's operating on -- which is why for jQSlickWrap to work, you need to have a browser that supports HTML 5's new canvas element. Here's an overview of the algorithm: 1. If necessary, pre-load the image. 2. Determine the CSS styles for the image (float and padding). 3. Create a canvas element and set its dimensions to the size of the image plus its padding. 4. Draw the image onto the canvas in the top-left location. 5. Figure out the "background" color of the image by examining the pixel data at the top-left corner of the image. 6. Fill the canvas with this background color.
We're seeing a lot of action in the key/value map/reduce world lately. On the one hand this is because simpler stuff scales more simply, and on the other because key/value and B-Tree stores map cleanly to some fundamental algorithms.
We present a system that composes a realistic picture from a simple freehand sketch annotated with text labels. The composed picture is generated by seamlessly stitching several photographs in agreement with the sketch and text labels; these are found by searching the Internet. Although online image search generates many inappropriate results, our system is able to automatically select suitable photographs to generate a high quality composition, using a filtering scheme to exclude undesirable images. We also provide a novel image blending algorithm to allow seamless image composition. Each blending result is given a numeric score, allowing us to find an optimal combination of discovered images. Experimental results show the method is very successful; we also evaluate our system using the results from two user studies.
The Porter stemming algorithm (or ‘Porter stemmer’) is a process for removing the commoner morphological and inflexional endings from words in English. Its main use is as part of a term normalisation process that is usually done when setting up Information Retrieval systems.
An obsessive blackmailer writes anonymous messages by by cut-and-pasting letters from newspapers. Being obsessive, the blackmailer only writes messages which can be composed entirely from a single newspaper.
word aligned
Devise an algorithm which determines whether a given message can be written using a given newspaper.
Make a Print Friendly Version of any WebPage, save Webpages as a PDF : Print Friendly helps you save paper and ink when you print. Our algorithm cleans optimizes webpages for print. We remove the ads, navigation, and junk you don't want to print! Customize your print outs by removing content and images. You can print, or get PDF of your custom page!
Interestingness is a media (images, videos, etc) ranking algorithm to provide as an additional metric for search results. The algorithm is based upon an algorithm created by the Flickr team, and is further enhanced by metadata knowledge resulted from the Del.icio.us development. The algorithm was first unveiled publicly on Flickr on 2005-08-01.1 SML.SML: Interestingness = f(views, faves, comments, tags, time, user, network relationships); The ranking is based on one or more of the following factors: * the quantity of user-entered metadata2 (i.e. tags) * the number of users who have assigned metadata3 * the number of favorites assigned to the photo4 * relationship between the person who uploaded the photo and the people who are commenting5 * access patterns related to the media object6 (i.e. where the clickthroughs are coming from; who comments on it and when)7 * a lapse of time related to the media object8 (i.e. velocity of metadata acquisition)
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GeographicLib is a small set of C classes for performing conversions between geographic, UTM, UPS, MGRS, geocentric, and local cartesian coordinates and for solving geodesic problems. The emphasis is on returning accurate results with errors close to round-off (about 5–15 nm). In addition, various properties of the Transverse Mercator Projection are described and an accurate algorithm for Geodesics on the Ellipsoid is given.
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]]>After years of observation and reverse engineering I am proud to say I have been able to reproduce the IE6 algorithm to break even the most standards-compliant websites. Since it’s not possible to run IE6 natively on Windows Vista or 7 and IE6 in Linux Wine is a nightmare, I figured a lot of you would miss the old days. With IE6ify you can break any website in true IE6 fashion.
* Prints Clean: Our algorithm removes ads, navigation, and all the junk you don't want to print. * Prints Pretty: We use best practices in print Typography to format your document for great readability. * Customize: Save even more paper and ink, remove images, paragraphs, and Get PDF
After years of observation and reverse engineering I am proud to say I have been able to reproduce the IE6 algorithm to break even the most standards-compliant websites
As software becomes more and more complex, it is more and more important to structure it well. Well-structured software is easy to write, easy to debug, and provides a collection of modules that can be re-used to reduce future programming costs. Conventional languages place conceptual limits on the way problems can be modularised. Functional languages push those limits back. In this paper we show that two features of functional languages in particular, higher-order functions and lazy evaluation, can contribute greatly to modularity. As examples, we manipulate lists and trees, program several numerical algorithms, and implement the alpha-beta heuristic (an algorithm from Artificial Intelligence used in game-playing programs). Since modularity is the key to successful programming, functional languages are vitally important to the real world.
sers have the option of getting answers from their network of people who they actually trust. On the other hand, Google gives you a page of links compiled by their quality algorithm. Sure, Google returns pretty good search results most of the time, but they’re impersonal and sometimes irrelevant to what you really want. Getting in touch with your network via Twitter is the best way to get reliable information you can trust. For example, if you had a question about life in the NBA, would you rather ask Shaquille O’Neal on Twitter or type a question in Google?
if you had still any hopes of image truth ;)
Owaks is a video search engine. Another one would you say? What makes it special? We could say that having more than 170 millions videos across hundreds of websites makes it attractive. That our search algorithm makes your search more efficient and relevant than others. That providing you with a powerful refining tool enables you to find your videos quicker. But let's only say that we did our best to provide you with the most exclusive functionalities in a simple and clear user interface and this is definitely what makes it so special.
Owaks is a video search engine. Another one would you say? What makes it special? We could say that having more than 170 millions videos across hundreds of websites makes it attractive. That our search algorithm makes your search more efficient and relevant than others. That providing you with a powerful refining tool enables you to find your videos quicker. But let's only say that we did our best to provide you with the most exclusive functionalities in a simple and clear user interface and this is definitely what makes it so special.
1) If this is a cluster, edit configuration so all servers use the same validationKey and validation algorithm. AutoGenerate cannot be used in a cluster. 2) Viewstate can only be posted back to the same page. 3) The viewstate for this page might be corrupted.
work out the algorithm (along with accompanying mathematics) and code for Craig Reynolds’ Path Following example.
We present a framework for analyzing privacy and anonymity in social networks, and develop a new re-identification algorithm targeting anonymized social-network graphs. To demonstrate its effectiveness on real-world networks, we show that a third of the users who have accounts on both Twitter, a popular microblogging service, and Flickr, an online photo-sharing site, can be re-identified in the anonymous Twitter graph with only a 12% error rate.
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