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2007
Springer

Push-Poll Recommender System: Supporting Word of Mouth

9 years 4 months ago
Push-Poll Recommender System: Supporting Word of Mouth
Abstract. Recommender systems produce social networks as a side effect of predicting what users will like. However, the potential for these social networks to aid in recommending items is largely ignored. We propose a recommender system that works directly with these networks to distribute and recommend items: the informal exchange of information (word of mouth communication) is supported rather than replaced. The paper describes the push-poll approach and evaluates its performance at predicting user ratings for movies against a collaborative filtering algorithm. Overall, the push-poll approach performs significantly better while being computationally efficient and suitable for dynamic domains (e.g. recommending items from RSS feeds).
Andrew Webster, Julita Vassileva
Added 09 Jun 2010
Updated 09 Jun 2010
Type Conference
Year 2007
Where UM
Authors Andrew Webster, Julita Vassileva
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