Event-Participant and Incremental Planning over Event-Based Social Networks
In recent years, online Event Based Social Network (EBSN) platforms have become increasingly popular. One typical task of EBSN platforms is to help users make suitable and personalized plans for participating in different interesting social events. Existing techniques either ignore the minimum-parti...
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| Vydáno v: | IEEE transactions on knowledge and data engineering Ročník 33; číslo 2; s. 474 - 488 |
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| Hlavní autoři: | , , , , , |
| Médium: | Journal Article |
| Jazyk: | angličtina |
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New York
IEEE
01.02.2021
The Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
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| ISSN: | 1041-4347, 1558-2191 |
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| Abstract | In recent years, online Event Based Social Network (EBSN) platforms have become increasingly popular. One typical task of EBSN platforms is to help users make suitable and personalized plans for participating in different interesting social events. Existing techniques either ignore the minimum-participant requirement constraint for each event, which is crucially needed for some events to be held successfully, or assume that events would not change once announced. In this paper, we address the above inadequacies of existing EBSN techniques. We formally define the Global Event Planning with Constraints (GEPC) problem, and its incremental variant. Since these problems are NP-hard, and provide approximate solutions. Finally, we verify the effectiveness and efficiency of our proposed algorithms through extensive experiments over real and synthetic datasets. |
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| AbstractList | In recent years, online Event Based Social Network (EBSN) platforms have become increasingly popular. One typical task of EBSN platforms is to help users make suitable and personalized plans for participating in different interesting social events. Existing techniques either ignore the minimum-participant requirement constraint for each event, which is crucially needed for some events to be held successfully, or assume that events would not change once announced. In this paper, we address the above inadequacies of existing EBSN techniques. We formally define the Global Event Planning with Constraints (GEPC) problem, and its incremental variant. Since these problems are NP-hard, and provide approximate solutions. Finally, we verify the effectiveness and efficiency of our proposed algorithms through extensive experiments over real and synthetic datasets. |
| Author | Li, Boyang Giraud-Carrier, Christophe Yuan, Ye Cheng, Yurong Chen, Lei Wang, Guoren |
| Author_xml | – sequence: 1 givenname: Yurong orcidid: 0000-0002-8696-9685 surname: Cheng fullname: Cheng, Yurong email: yrcheng@bit.edu.cn organization: School of Computer Science and Technology, Beijing Institute of Technology, Beijing, China – sequence: 2 givenname: Ye orcidid: 0000-0002-0247-9866 surname: Yuan fullname: Yuan, Ye email: yuanye@mail.neu.edu.cn organization: School of Computer Science and Engineering, Northeastern University, Qinhuangdao, Hebei, China – sequence: 3 givenname: Lei orcidid: 0000-0002-8257-5806 surname: Chen fullname: Chen, Lei email: leichen@cse.ust.hk organization: Department of Computer Science and Engineering, Hong Kong University of Science and Technology, Hong Kong – sequence: 4 givenname: Christophe surname: Giraud-Carrier fullname: Giraud-Carrier, Christophe email: cgc@cs.byu.edu organization: Department of Computer Science, Brigham Young University, Provo, UT, USA – sequence: 5 givenname: Guoren orcidid: 0000-0002-0181-8379 surname: Wang fullname: Wang, Guoren email: wanggr@bit.edu.cn organization: School of Computer Science and Technology, Beijing Institute of Technology, Beijing, China – sequence: 6 givenname: Boyang orcidid: 0000-0002-8457-6650 surname: Li fullname: Li, Boyang email: liboyang@mail.neu.edu.cn organization: School of Computer Science and Engineering, Northeastern University, Qinhuangdao, Hebei, China |
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| SubjectTerms | Algorithms approximate algorithm Approximation algorithms Computer science event-based social networks Games incremental planning Planning Platforms Social networking (online) Social networks Sports Upper bound |
| Title | Event-Participant and Incremental Planning over Event-Based Social Networks |
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