165 search results - page 26 / 33 » Improving Collaborative Filtering Recommendations Using Exte... |
EDBT
2012
ACM
11 years 10 months ago
2012
ACM
Most recommendation methods (e.g., collaborative filtering) consist of (1) a computationally intense offline phase that computes a recommender model based on users’ opinions o...
EDM
2009
13 years 5 months ago
2009
This paper proposes a novel method for recommending books to pupils based on a framework called Edu-mining. One of the properties of the proposed method is that it uses only loan h...
DAIS
2006
13 years 9 months ago
2006
Abstract. As the amount of information available to users continues to grow, filtering wanted items from unwanted ones becomes a dominant task. To this end, various collaborative-f...
KDD
2006
ACM
14 years 8 months ago
2006
ACM
Recent research has identified significant vulnerabilities in recommender systems. Shilling attacks, in which attackers introduce biased ratings in order to influence future recom...
ACMICEC
2007
ACM
13 years 11 months ago
2007
ACM
Accurate prediction of customer preferences on products is the key to any recommender systems to realize its promised strategic values such as improved customer satisfaction and t...