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Title: Recommendation in location based social networks
Authors: Chen, Long.
Keywords: DRNTU::Engineering::Computer science and engineering::Information systems::Information systems applications
Issue Date: 2013
Abstract: Recommendation in Location Based Social Networks (LBSNs) is an emerging research topic. Compared to conventional recommendation systems, there is much more information could be utilized in a LBSN recommendation system. In this report, the author first proposes a new method of utilizing spatial sensitivity to generate dynamic weightage average score for combining the User Collaborative Filtering and the Geographical Influence in a personalized fashion for each single user. Temporal information in check-ins which interconnects users and point-of-interests have significant value in LBSNs. In this report, the author also discusses how to leverage temporal information in the User Collaborative Filtering and the Geographical Influence. Finally, a unified framework for all proposed methods is defined in this report. A detailed empirical experiment is included in this report which provides a comprehensive comparison of the performance of proposed methods against baseline methods.
Schools: School of Computer Engineering 
Research Centres: Centre for Advanced Information Systems 
Rights: Nanyang Technological University
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:SCSE Student Reports (FYP/IA/PA/PI)

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