A Bilateral Recommendation Strategy for Mobile Event-Based Social Networks

被引：2

作者：

Zhang, Yu ^{[1
]}

Gorlatch, Sergei ^{[1
]}

机构：

[1] Univ Munster, Munster, Germany

来源：

PROCEEDINGS OF THE 17TH EAI INTERNATIONAL CONFERENCE ON MOBILE AND UBIQUITOUS SYSTEMS: COMPUTING, NETWORKING AND SERVICES (MOBIQUITOUS 2020) | 2021年

关键词：

Event-Based Social Networks; Event Arrangement; Mobile Social Network Modeling; Bilateral Recommendation Problem;

D O I：

10.1145/3448891.3448895

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Mobile Event-Based Social Network (EBSN) platforms, such as Meetup and Plancast, have become increasingly popular for online organization of offline (in-person) events. The problem of the existing techniques in ESBN is that they do not reflect the bilateral (two-way) nature of efficient event planning: 1) events enroll more influential participants, and 2) participants are arranged to events they are most interested in. In this paper, we address this weakness by formally defining the bilateral recommendation problem and making two contributions to solving this problem: (a) by analyzing all types of the user's behaviors during the selection session, we can accurately predict which event the users will eventually choose to participate in, and (b) by introducing the concepts of interpersonal similarity and interaction strength in EBSNs, we can calculate the interactive influence of users. We report the results of extensive experiments on real datasets that confirm the improved precision, effectiveness and scalability of our proposed bilateral recommendation strategy as compared to the state of the art.

引用

页码：415 / 424

页数：10

共 38 条

[21] What Makes A Group Fail: Modeling Social Group Behavior in Event-Based Social Networks [J].

Liu, Xiang ;

Suel, Torsten .

2016 IEEE INTERNATIONAL CONFERENCE ON BIG DATA (BIG DATA), 2016, :951-956

[22] SoCaST*: Personalized Event Recommendations for Event-Based Social Networks: A Multi-Criteria Decision Making Approach [J].

Ogundele, Tunde Joseph ;

Chow, Chi-Yin ;

Zhang, Jia-Dong .

IEEE ACCESS, 2018, 6 :27579-27592

[23] Event recommendation in social networks based on reverse random walk and participant scale control [J].

Mo, Yijun ;

Li, Bixi ;

Wang, Bang ;

Yang, Laurence T. ;

Xu, Minghua .

FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE, 2018, 79 :383-395

[24] Fatigue-Aware Event-Participant Arrangement in Event-Based Social Networks: An Upper Confidence Bound Method [J].

Liang, Yuan .

INTELLIGENT SYSTEMS AND APPLICATIONS, VOL 2, 2023, 543 :780-796

[25] Content-Based Co-Factorization Machines: Modeling User Decisions in Event-Based Social Networks [J].

Zhao, Yilin ;

He, Yuan ;

Li, Hong .

ADVANCES IN MULTIMEDIA INFORMATION PROCESSING - PCM 2018, PT II, 2018, 11165 :780-791

[26] Bottleneck-aware arrangement over event-based social networks: the max-min approach [J].

Yongxin Tong ;

Jieying She ;

Rui Meng .

World Wide Web, 2016, 19 :1151-1177

[27] Bottleneck-aware arrangement over event-based social networks: the max-min approach [J].

Tong, Yongxin ;

She, Jieying ;

Meng, Rui .

WORLD WIDE WEB-INTERNET AND WEB INFORMATION SYSTEMS, 2016, 19 (06) :1151-1177

[28] Catching Social Butterflies: Identifying Influential Users of an Event-Based Social Networking Service [J].

Popa, Jonathan ;

Nezafati, Kusha ;

Gel, Yulia R. ;

Zweck, John ;

Bobashev, Georgiy .

2016 IEEE INTERNATIONAL CONGRESS ON BIG DATA - BIGDATA CONGRESS 2016, 2016, :198-205

[29] Complex Dynamic Event Participant in an Event-Based Social Network: A Three-Dimensional Matching [J].

Liang, Yuan .

IEEE ACCESS, 2019, 7 :144188-144201

[30] Semantic-Enhanced and Context-Aware Hybrid Collaborative Filtering for Event Recommendation in Even-Based Social Networks [J].

Xu, Minghua ;

Liu, Shenghao .

IEEE ACCESS, 2019, 7 :17493-17502

← 1 2 3 4 →