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GFKL
2005
Springer
114views Data Mining» more  GFKL 2005»
15 years 5 months ago
Attribute-aware Collaborative Filtering
One of the key challenges in large information systems such as online shops and digital libraries is to discover the relevant knowledge from the enormous volume of information. Rec...
Karen H. L. Tso, Lars Schmidt-Thieme
SSDBM
2009
IEEE
77views Database» more  SSDBM 2009»
15 years 6 months ago
Query Recommendations for Interactive Database Exploration
Abstract. Relational database systems are becoming increasingly popular in the scientific community to support the interactive exploration of large volumes of data. In this scenar...
Gloria Chatzopoulou, Magdalini Eirinaki, Neoklis P...
UM
2009
Springer
15 years 6 months ago
How Users Perceive and Appraise Personalized Recommendations
Abstract. Traditional websites have long relied on users revealing their preferences explicitly through direct manipulation interfaces. However recent recommender systems have gone...
Nicolas Jones, Pearl Pu, Li Chen
RECSYS
2009
ACM
15 years 6 months ago
Using a trust network to improve top-N recommendation
Top-N item recommendation is one of the important tasks of recommenders. Collaborative filtering is the most popular approach to building recommender systems which can predict ra...
Mohsen Jamali, Martin Ester
WWW
2011
ACM
14 years 6 months ago
Investigating topic models for social media user recommendation
This paper presents a user recommendation system that recommends to a user new friends having similar interests. We automatically discover users’ interests using Latent Dirichle...
Marco Pennacchiotti, Siva Gurumurthy