Archive for the ‘collaborative filtering’ Category
Friday, May 14th, 2010
hulu has just rolled out a new release that introduces new (and welcome) levels of personalization to their service:
personalized recommendations to help users discover new shows
Ad Tailor - a “like” button for ads
Finding shows on hulu was notoriously difficult - mostly parsing through an endless list with limited sorting options ...
Posted in Advertising, collaborative filtering, hulu, Media recommendation, netflix, Personalization, Recommendation | No Comments »
Thursday, December 11th, 2008
For the second year, Netflix has awarded a $50K progress prize. The winning team – BellKor in BigChaos – improved on Netflix’s recommendation algorithm by 9.44%. Although the 10% improvement seems to be getting closer in absolute terms, the last stretch might prove elusive for a little while longer.
Is ...
Posted in collaborative filtering, Media recommendation, Personalization, Recommendation | 1 Comment »
Thursday, December 4th, 2008
Gabe Rivera of Techmeme fame has sparked a lively debate as he announced he had hired an editor to improve interestingness, reactivity and relevance of his news aggregation website (see VentureBeat, TechCrunch, and ReadWriteWeb). Rivera’s plight echoes Netflix’s challenges at boosting its movie recommendation engine, as algorithmic improvements gradually near ...
Posted in collaborative filtering, Content analysis, Recommendation, Search, Text mining, UGC | 2 Comments »
Thursday, November 27th, 2008
Pandora, Last.fm, and iLike have broadened the appeal of recommendation algorithms and social discovery and sharing. Despite a challenging – even hostile - business environment, passionate entrepreneurs and music lovers are bringing to market new ways to explore and discover new music.
Mufin has gathered the most attention so ...
Posted in collaborative filtering, Content analysis, Media recommendation, Online Retail, Personalization, Recommendation, UGC, Wish list | 6 Comments »