Efficient diverse rank of hot-topics-discussion on social network

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

Social network has become an important way to exchange information, which allows users to post tweets on hot topics and share opinions with others. Typically, tweets on an identical topic are ranked according to either the freshness or the popularity. However, neither of them is ideal, due to the redundancy of tweets' content under the same topic. To address this problem, we intend to diversify the search results in this paper. We propose an effective measure of diversity and a ranking algorithm based on LSH(Locality Sensitive Hash). The proposed solution also works well on the MapReduce framework. Our method can efficiently rank tweets according to their popularity and diversity. We carry out extensive experiments on real-world datasets to verify the effectiveness and efficiency of our methods.

Original languageEnglish
Title of host publicationWeb-Age Information Management - 15th International Conference, WAIM 2014, Proceedings
PublisherSpringer Verlag
Pages522-534
Number of pages13
ISBN (Print)9783319080093
DOIs
StatePublished - 2014
Event15th International Conference on Web-Age Information Management, WAIM 2014 - Macau, China
Duration: 16 Jun 201418 Jun 2014

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume8485 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference15th International Conference on Web-Age Information Management, WAIM 2014
Country/TerritoryChina
CityMacau
Period16/06/1418/06/14

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