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» Comparing two blind relevance feedback techniques
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RECSYS
2009
ACM
14 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...
SIGIR
2009
ACM
14 years 4 months ago
Segment-level display time as implicit feedback: a comparison to eye tracking
We examine two basic sources for implicit relevance feedback on the segment level for search personalization: eye tracking and display time. A controlled study has been conducted ...
Georg Buscher, Ludger van Elst, Andreas Dengel
IIR
2010
13 years 11 months ago
Context-Dependent Recommendations with Items Splitting
Recommender systems are intelligent applications that help on-line users to tackle information overload by providing recommendations of relevant items. Collaborative Filtering (CF...
Linas Baltrunas, Francesco Ricci
ICSM
2008
IEEE
14 years 4 months ago
Retrieving relevant reports from a customer engagement repository
Customers of modern enterprise applications commonly engage the vendor of the application for onsite troubleshooting and fine tuning of large deployments. The results of these eng...
Dharmesh Thakkar, Zhen Ming Jiang, Ahmed E. Hassan...
KDD
2009
ACM
248views Data Mining» more  KDD 2009»
14 years 2 months ago
PSkip: estimating relevance ranking quality from web search clickthrough data
1 In this article, we report our efforts in mining the information encoded as clickthrough data in the server logs to evaluate and monitor the relevance ranking quality of a commer...
Kuansan Wang, Toby Walker, Zijian Zheng