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Lee, Wang
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Mining online social data for detecting social network mental disorders
Shuai H., Shen C., Yang D., Lan Y., Lee W., Yu P., Chen M. WWW 2016 (Proceedings of the 25th International Conference on the World Wide Web, Montréal, Québec, Canada, Apr 11-15, 2016) 275-285, 2016. Type: Proceedings
Diagnosis of social network mental disorders (SNMD) is problematic since self-reporting questionnaires (massively applied in psychology) give subjective insight into the problem, which affects the accuracy of the measurement. Methods o...
...
Aug 9 2016
Silence is also evidence: interpreting dwell time for recommendation from psychological perspective
Yin P., Luo P., Lee W., Wang M. KDD 2013 (Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Chicago, IL, Aug 11-14, 2013) 989-997, 2013. Type: Proceedings
In many social media sites, people who are given an opportunity to vote rarely do so. Yin et al. note: “We call the phenomenon [of] a user silently viewing an item without expressing [his or her] opinions (i.e. giving a vote)...
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Apr 7 2014
Location recommendation for location-based social networks
Ye M., Yin P., Lee W. GIS 2010 (Proceedings of the 18th SIGSPATIAL International Conference on Advances in Geographic Information Systems, San Jose, CA, Nov 2-5, 2010) 458-461, 2010. Type: Proceedings
In a world where social networking is becoming more and more important, users increasingly rely on the type of information such networks can offer. Recently developed location-based social networking services, such as Loopt and Foursqu...
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Feb 25 2011
Personalized ranking for digital libraries based on log analysis
Sun Y., Li H., Councill I., Huang J., Lee W., Giles C. WIDM 2008 (Proceeding of the 10th ACM Workshop on Web Information and Data Management, Napa Valley, California, Oct 30, 2008) 133-140, 2008. Type: Proceedings
The quality of ranking is of paramount importance in information retrieval systems. Given the extensive content that is now indexed on large data repositories, such as the Web, ranking algorithms are essential to decide the order in wh...
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Jan 26 2009
Processing
k
nearest neighbor queries in location-aware sensor networks
Xu Y., Fu T., Lee W., Winter J. Signal Processing 87(12): 2861-2881, 2007. Type: Article
Sensor networks have become a hot research topic. Applications for them are envisioned in the environmental, ecological, home monitoring, and military fields. In a nutshell, a sensor network consists of hundreds or even thousands of sm...
...
May 19 2008
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