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» Elicitation and use of relevance feedback information
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JASIS
2002
72views more  JASIS 2002»
14 years 9 months ago
Combining and selecting characteristics of information use
In this paper we report on a series of experiments designed to investigate the combination of term and document weighting functions in Information Retrieval. We describe a series ...
Ian Ruthven, Mounia Lalmas, C. J. van Rijsbergen
CIKM
2009
Springer
15 years 4 months ago
Exploring relevance for clicks
Mining feedback information from user click-through data is an important issue for modern Web retrieval systems in terms of architecture analysis, performance evaluation and algor...
Rongwei Cen, Yiqun Liu, Min Zhang, Bo Zhou, Liyun ...
RECSYS
2009
ACM
15 years 4 months ago
FeedbackTrust: using feedback effects in trust-based recommendation systems
With the advent of online social networks, the trust-based approach to recommendation has emerged which exploits the trust network among users and makes recommendations based on t...
Samaneh Moghaddam, Mohsen Jamali, Martin Ester, Ja...
SACMAT
2009
ACM
15 years 2 months ago
A formal framework to elicit roles with business meaning in RBAC systems
The role-based access control (RBAC) model has proven to be cost effective to reduce the complexity and costs of access permission management. To maximize the advantages offered...
Alessandro Colantonio, Roberto Di Pietro, Alberto ...
RIAO
2004
14 years 11 months ago
Combining Positive and Negative Query Feedback in Passage Retrieval
Information Retrieval Systems aim at retrieving relevant documents according to the information needs which users express. Most Information Retrieval Systems focus on passage retr...
Taoufiq Dkaki, Josiane Mothe