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Finding readings for scientists from social websites

Jiang, J and Yue, Z and Han, S and He, D (2012) Finding readings for scientists from social websites. In: UNSPECIFIED.

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Current search systems are designed to find relevant articles, especially topically relevant ones, but the notion of relevance largely depends on search tasks. We study the specific task that scientists are searching for worth-reading articles beneficial for their research. Our study finds: users' perception of relevance and preference of reading are only moderately correlated; current systems can effectively find readings that are highly relevant to the topic, but 36% of the worth-reading articles are only marginally relevant or even non-relevant. Our system can effectively find those worth-reading but marginally relevant or non-relevant articles by taking advantages of scientists' recommendations in social websites. © 2012 Authors.


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Item Type: Conference or Workshop Item (UNSPECIFIED)
Status: Published
CreatorsEmailPitt UsernameORCID
Jiang, J
Yue, Z
Han, S
He, Ddah44@pitt.eduDAH440000-0002-4645-8696
Date: 28 September 2012
Date Type: Publication
Access Restriction: No restriction; Release the ETD for access worldwide immediately.
Journal or Publication Title: SIGIR'12 - Proceedings of the International ACM SIGIR Conference on Research and Development in Information Retrieval
Page Range: 1075 - 1076
Event Type: Conference
DOI or Unique Handle: 10.1145/2348283.2348476
Institution: University of Pittsburgh
Schools and Programs: School of Information Sciences > Library and Information Science
Refereed: Yes
ISBN: 9781450316583
Date Deposited: 17 Jun 2013 15:55
Last Modified: 06 Sep 2019 13:58


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