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 Kianlee Tan

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Average citations per article0.00
Citation Count0
Publication count3
Publication years2012-2017
Available for download3
Average downloads per article243.00
Downloads (cumulative)729
Downloads (12 Months)530
Downloads (6 Weeks)77
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1 published by ACM
May 2017 ACM Transactions on Information Systems (TOIS): Volume 35 Issue 3, June 2017
Publisher: ACM
Citation Count: 0
Downloads (6 Weeks): 15,   Downloads (12 Months): 83,   Downloads (Overall): 83

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In this article, we study the problem of efficient top- k disjunctive query processing in a huge microblog dataset. In terms of compact indexing, we categorize the keywords into rare terms and common terms based on inverse document frequency (idf) and propose tailored block-oriented organization to save memory consumption. In ...
Keywords: Top-k, billion-scale, microblg, disjunctive keyword search

2 published by ACM
May 2017 SIGMOD '17: Proceedings of the 2017 ACM International Conference on Management of Data
Publisher: ACM
Citation Count: 0
Downloads (6 Weeks): 62,   Downloads (12 Months): 442,   Downloads (Overall): 442

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Social influence has attracted significant attention owing to the prevalence of social networks (SNs). In this paper, we study a new social influence problem, called personalized social tags exploration (PITEX), to help any user in the SN explore how she influences the network. Given a target user, it finds a ...
Keywords: recommendation, social influence, sampling, index, personalization

3 published by ACM
May 2012 DBSocial '12: Proceedings of the 2nd ACM SIGMOD Workshop on Databases and Social Networks
Publisher: ACM
Citation Count: 0
Downloads (6 Weeks): 0,   Downloads (12 Months): 5,   Downloads (Overall): 204

Full text available: PDFPDF
Social Networking Sites (SNSs) allow users to publish posts to certain user-defined circles (sets of users). However, existing SNS models are limited in several ways. First, it is not practical to predefine all circles a user will ever need for disseminating her posts. Second, existing SNSs do not currently have ...

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