collaborative-filtering
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Introducing Plexo on Squidoo
We've made a major change to Squidoo. Now, each and every lens can include the all-powerful, all-knowing, omniscient Plexo feature. Plexo is like Digg or Reddit, but with the long tail added in for good measure. Here's a Q&A: Q: What's Plexo?
Item-to-item collaborative filtering
There appears to be a little confusion in some of the research literature on the earliest work on item-to-item collaborative filtering, a recommender algorithm that focus on items rather than users. The earliest work of which I am aware is:A couple of days ago we posted screen shots of a new search interface being bucket tested by Google that lets users vote up or down on search results. The resulting interface was very Digg -like, and included a total vote count, etc. Today Adrian Pike, the CTO of startup Tatango , noticed that the interface changed yet again and now includes user comments. Like Digg, each comment has an up or down vote feature as well, and Google is using thumbs up and down icons that are exactly the same as those on Digg. The comments show the username of the person leaving it, and clicking on it shows their Google account profile. Also, Google shows the total number of votes both up and down on each result.
Google Continues To Test A Search Interface That Looks More Like
Written by Alex Iskold and edited by Richard MacManus It is no secret that we live in an information overload age. The explosion of new types of information online is a double-edged sword. We both enjoy and drown in news, blogs, podcasts, photos, videos and cool MySpace pages.
The Attention Economy: An Overview
Functioning Form - Web App Summit: Design Strategies for Recomme
At the UIE Web App Summit in Monterey, Rashmi Sinha walked through a series of design strategies for two types of recommender system designs: algorithmic systems prevalent in 2001 and social systems popular in 2006. Circa 2001 recommender systems primarily use information about users to predict what may interest them. “If you liked this, you may like…”.
The Eaton Model of Collective Communication
The Eaton Model uses collective communication to build consensus in a non-confrontational way. Each of these three terms needs a short explanation. Collective communication is a novel technique of communication between groups.Item-based Collaborative Filtering Recommendation Algorithms
Badrul Sarwar, George Karypis, Joseph Konstan, and John Riedl {sarwar, karypis, konstan, riedl}@cs.umn.edu GroupLens Research Group/Army HPC Research Center Department of Computer Science and Engineering University of Minnesota, Minneapolis, MN 55455 Copyright is held by the author/owner(s). WWW10, May 1-5, 2001, Hong Kong.
Generally, collaborative filtering (CF) is any algorithm that filters information for a user based on a collection of user profiles. Users having similar profiles may share similar interests. For a user, information can be filtered in/out regarding to the behaviors of his or her similar users. Users profiles can be collected either or .
Collaborative Filtering Resources
Google has created a new module for the personalized homepage that shows you recommendations, based on your search history, your location and on the search history of similar users.
Google Recommenda
December 2006