12 search results - page 1 / 3 » Rate it again: increasing recommendation accuracy by user re... |
RECSYS
2009
ACM
13 years 11 months ago
2009
ACM
A common approach to designing Recommender Systems (RS) consists of asking users to explicitly rate items in order to collect feedback about their preferences. However, users have...
TKDE
2012
11 years 7 months ago
2012
— Recommender systems are becoming increasingly important to individual users and businesses for providing personalized recommendations. However, while the majority of algorithms...
SIGIR
2010
ACM
13 years 8 months ago
2010
ACM
Collaborative Filtering (CF) algorithms, used to build webbased recommender systems, are often evaluated in terms of how accurately they predict user ratings. However, current eva...
I3E
2008
13 years 6 months ago
2008
Abstract. Many e-commerce sites use a recommendation system to filter the specific information that a user wants out of an overload of information. Currently, the usefulness of the...
SIGIR
2011
ACM
12 years 7 months ago
2011
ACM
Traditional recommendation algorithms often select products with the highest predicted ratings to recommend. However, earlier research in economics and marketing indicates that a ...