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ICTAI
2010
IEEE
13 years 8 months ago
From "I Like" to "I Prefer" in Collaborative Filtering
Collaborative filtering exploits user preferences, generally ratings, to provide them with recommendations. However, the ratings may not be completely trustworthy: the rating scale...
Armelle Brun, Ahmad Hamad, Olivier Buffet, Anne Bo...
DEXA
2011
Springer
296views Database» more  DEXA 2011»
12 years 10 months ago
A Scalable Tag-Based Recommender System for New Users of the Social Web
Abstract. Folksonomies have become a powerful tool to describe, discover, search, and navigate online resources (e.g., pictures, videos, blogs) on the Social Web. Unlike taxonomies...
Valentina Zanardi, Licia Capra
CHI
1994
ACM
14 years 2 months ago
Observing users in multimodal interaction
My doctoral research focuses on the usability and usage of new computer technology such as interactive systems that support the combination different input media such as voice, ge...
Daniel Salber
EPIA
2009
Springer
14 years 2 months ago
Item-Based and User-Based Incremental Collaborative Filtering for Web Recommendations
Abstract. In this paper we propose an incremental item-based collaborative filtering algorithm. It works with binary ratings (sometimes also called implicit ratings), as it is typi...
Catarina Miranda, Alípio Mário Jorge
ICDE
2009
IEEE
120views Database» more  ICDE 2009»
14 years 5 months ago
Recommending Join Queries via Query Log Analysis
— Complex ad hoc join queries over enterprise databases are commonly used by business data analysts to understand and analyze a variety of enterprise-wide processes. However, eff...
Xiaoyan Yang, Cecilia M. Procopiuc, Divesh Srivast...