Archive for the ‘Taste’ Category
Thursday, April 24th, 2008
As we've been able to gather more rating data from our site, MyFriendSuggests.com we've been able to run more tests on our unique recommendation algorithm. Our algorithm uniques combines both user based and item based collaborative filtering. Our recent tweaks to the algorithm have shown improvements and ...
Posted in Collaborative Filtering, MyFriendSuggests, Taste | No Comments »
Tuesday, May 29th, 2007
Taste is a great framework for collaborative filtering. We are going to be launching a new recommendation algorithm on our site (MyFriendSuggests.com) in the coming weeks (Stay Tuned!) based on the Taste framework. Taste provides a User-based and Item-based recommender. User based recommenders find users that have similiar tastes to ...
Posted in Java, MyFriendSuggests, Taste | No Comments »
Wednesday, April 25th, 2007
For the past few weeks I've been playing with Taste, a Java based framework for collaborative filtering (basically the recommendation feature found on sites like Amazon and Netflix). Hopefully in the near feature this tool will be incorporated in our site, MyFriendSuggests.com to improve our suggestion algorithms.
What I found was ...
Posted in Java, MyFriendSuggests, Taste, Web Development | No Comments »
