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Friday, 26th October 2007

ResourceShelf Weekend Best: Recommender Systems, MovieLens, TechLens, and WikiLens

Background about collaborative filtering and then a link to MovieLens. This service, free, uses CF to help users find movies they might like to view. It's a free service.

Learn More About the GroupLens Project at the University of Minnesota and don't forget their list of publications.

See Also: TechLens

The core of the system lies in its ability to learn users' research interests from their profiles, and use collaborative filtering algorithms to produce relevant results. Experienced users can create their profile by identifying themselves as 'authors', whereas the new users build their profiles as they go about querying the system. Users can maintain portfolios to categorically arrange their research work, and can draw recommendations for each individual portfolio, or for all portfolios combined together.

TechLens also allows users to maintain individual preferences about their searches. Users can save their searches, along with the reviewed items from that result set. Users can revisit these Saved searches at any time for further review, or include them in any of their portfolios.

+ WikiLens

WikiLens is an environment for creating, editing, rating, and recommending items to people. Once you learn how to use WikiLens you will be able to use it for all of those things for any item you can create a Web page about! Examples of items we've used WikiLens for include: Soda, Software Projects, Restaurants, Books, and Sailboats.


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