Semantic Web Dog Food

Presented at: 20th International World Wide Web Conference (WWW2011)

by Dongyuan Lu, Qiudan Li

In this paper, we propose a personalized search model to assist users in obtaining interested photos on Flickr, which exploits the favorite marks of the searcher s friends to predict the searcher s preference on the returned photos. The proposed model utilizes a co-clustering method to extract latent interest dimensions from users implicit interests, and employs a discriminative learning method to predict searcher s preference on the returned photos. Preliminary experiments demonstrate the improvement of the proposed model compared to existing one-fit-all methods and a user-based collaborative filtering method.

Personalized Search on Flickr Based on Searcher's Preference Prediction was presented at this event.

Keywords: World Wide Web

Resource URI on the dog food server: http://data.semanticweb.org/conference/www/2011/poster/personalized-search-on-flickr-based-on-searchers-p

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