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» User evaluation of a market-based recommender system
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EWCBR
2008
Springer
13 years 8 months ago
Conversational Case-Based Recommendations Exploiting a Structured Case Model
There are case-based recommender systems that generate personalized recommendations for users exploiting the knowledge contained in past recommendation cases. These systems assume ...
Quang Nhat Nguyen, Francesco Ricci
RECSYS
2009
ACM
13 years 11 months ago
Acceptance issues of personality-based recommender systems
To understand users’ acceptance of the emerging trend of personality-based recommenders (PBR), we evaluated an existing PBR using the technology acceptance model (TAM). We also ...
Rong Hu, Pearl Pu
SIGIR
2010
ACM
13 years 10 months ago
Temporal diversity in recommender systems
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...
Neal Lathia, Stephen Hailes, Licia Capra, Xavier A...
AAAI
2006
13 years 8 months ago
Mixed Collaborative and Content-Based Filtering with User-Contributed Semantic Features
We describe a recommender system which uses a unique combination of content-based and collaborative methods to suggest items of interest to users, and also to learn and exploit it...
Matthew Garden, Gregory Dudek
WSDM
2012
ACM
246views Data Mining» more  WSDM 2012»
12 years 2 months ago
Auralist: introducing serendipity into music recommendation
Recommendation systems exist to help users discover content in a large body of items. An ideal recommendation system should mimic the actions of a trusted friend or expert, produc...
Yuan Cao Zhang, Diarmuid Ó Séaghdha,...