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WEBI
2010
Springer
13 years 9 months ago
Let's Trust Users It is Their Search
The current search engine model considers users not trustworthy, so no tools are provided to let them specify what they are looking for or in what context, which severely limits wh...
Pavel Kalinov, Bela Stantic, Abdul Sattar
AMT
2010
Springer
302views Multimedia» more  AMT 2010»
14 years 22 days ago
Social Relation Based Search Refinement: Let Your Friends Help You!
One of the major problems for search at Web scale is that the search results on the large scale data might be huge and the users have to browse to find the most relevant ones. Plus...
Xu Ren, Yi Zeng, Yulin Qin, Ning Zhong, Zhisheng H...
FSKD
2007
Springer
158views Fuzzy Logic» more  FSKD 2007»
14 years 5 months ago
LET: Towards More Precise Clustering of Search Results
Web users are always distracted by a large number of results returned from search engines. Clustering can efficiently facilitate users’ browsing pages of certain topic. However...
Yi Zhang, Lidong Bing, Yexin Wang, Yan Zhang
RECSYS
2009
ACM
14 years 5 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...
ICONIP
2009
13 years 9 months ago
HumanBoost: Utilization of Users' Past Trust Decision for Identifying Fraudulent Websites
In this paper, we present an approach that aims to study users' past trust decisions (PTDs) for improving the accuracy of detecting phishing sites. Generally, Web users requir...
Daisuke Miyamoto, Hiroaki Hazeyama, Youki Kadobaya...