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» Supporting User Query Relaxation in a Recommender System
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SIGIR
2009
ACM
15 years 10 months ago
Predicting user interests from contextual information
Search and recommendation systems must include contextual information to effectively model users’ interests. In this paper, we present a systematic study of the effectiveness of...
Ryen W. White, Peter Bailey, Liwei Chen
ICDE
2003
IEEE
101views Database» more  ICDE 2003»
16 years 5 months ago
User Interaction in the BANKS System
The BANKS system supports keyword search on databases storing structured/semi-structured data. Answers to keyword queries are ranked, and as in IR systems, the top answers may not...
B. Aditya, Soumen Chakrabarti, Rushi Desai, Arvind...
RECSYS
2010
ACM
15 years 4 months ago
Interactive recommendations in social endorsement networks
An increasing number of social networking platforms are giving users the option to endorse entities that they find appealing, such as videos, photos, or even other users. We defin...
Theodoros Lappas, Dimitrios Gunopulos
SIGMOD
2006
ACM
156views Database» more  SIGMOD 2006»
16 years 4 months ago
MauveDB: supporting model-based user views in database systems
Real-world data -- especially when generated by distributed measurement infrastructures such as sensor networks -- tends to be incomplete, imprecise, and erroneous, making it impo...
Amol Deshpande, Samuel Madden
CHI
2008
ACM
16 years 4 months ago
Activity-based serendipitous recommendations with the Magitti mobile leisure guide
This paper presents a context-aware mobile recommender system, codenamed Magitti. Magitti is unique in that it infers user activity from context and patterns of user behavior and,...
Victoria Bellotti, James Bo Begole, Ed Huai-hsin C...