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» Fuzzy Ranking Model Based on User Preference
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144
Voted
ICDE
2007
IEEE
114views Database» more  ICDE 2007»
15 years 7 months ago
Group Recommending: A methodological Approach based on Bayesian Networks
The problem of building Recommender Systems has attracted considerable attention in recent years, but most recommender systems are designed for recommending items for individuals....
Luis M. de Campos, Juan M. Fernández-Luna, ...
111
Voted
IUI
2000
ACM
15 years 8 months ago
Adaptation in automated user-interface design
Design problems involve issues of stylistic preference and flexible standards of success; human designers often proceed by intuition and are unaware of following any strict rule-b...
Jacob Eisenstein, Angel R. Puerta
116
Voted
ECIR
2007
Springer
15 years 5 months ago
Personalized Communities in a Distributed Recommender System
The amount of data exponentially increases in information systems and it becomes more and more difficult to extract the most relevant information within a very short time. Among ot...
Sylvain Castagnos, Anne Boyer
129
Voted
DSS
2000
113views more  DSS 2000»
15 years 3 months ago
Quality of service provision in noncooperative networks with diverse user requirements
This paper studies the quality of service (QoS) provision problem in noncooperative networks where applications or users are sel sh and routers implement generalized processor sha...
K. Park, M. Sitharam, S. Chen
150
Voted
PVLDB
2010
139views more  PVLDB 2010»
14 years 10 months ago
Identifying the Most Influential Data Objects with Reverse Top-k Queries
Top-k queries are widely applied for retrieving a ranked set of the k most interesting objects based on the individual user preferences. As an example, in online marketplaces, cus...
Akrivi Vlachou, Christos Doulkeridis, Kjetil N&osl...