Event participation recommendation in event-based social networks

Hao Ding, Chenguang Yu, Guangyu Li, Yong Liu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Event-based Social Networks (EBSN) have experienced rapid growth in recent years. Event participation recommendation is to recommend a list of users who are most likely to participate in a new event. Due to the nature of new event and severe data sparsity in EBSN, the traditional recommender systems do not work well for event participation recommendation. In this paper, we first conduct a study of Meetup users to understand the major factors impacting their event participation decisions. We then develop a sliding-window based machine-learning model that effectively combines user features from multiple channels to recommend users to new events. Through evaluation using the Meetup dataset, we demonstrate that our model can capture the short-term consistency of user preferences and outperforms the traditional popularitybased and nearest-neighbor based recommendation models. Our model is suitable for real-time recommendation on practical EBSN platforms.

Original languageEnglish (US)
Title of host publicationSocial Informatics - 8th International Conference, SocInfo 2016, Proceedings
PublisherSpringer Verlag
Pages361-375
Number of pages15
Volume10046 LNCS
ISBN (Print)9783319478791
DOIs
StatePublished - 2016
Event8th International Conference on Social Informatics, SocInfo 2016 - Bellevue, United States
Duration: Nov 11 2016Nov 14 2016

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10046 LNCS
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

Other8th International Conference on Social Informatics, SocInfo 2016
CountryUnited States
CityBellevue
Period11/11/1611/14/16

Fingerprint

Social Networks
Recommendations
Recommender systems
Learning systems
Participation
Sliding Window
Recommender Systems
User Preferences
Sparsity
Model
Nearest Neighbor
Machine Learning
Likely
Real-time
Evaluation
Demonstrate

Keywords

  • Event participation recommendation
  • Event-based social networks
  • Social network analysis
  • Temporal recommendation

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

Ding, H., Yu, C., Li, G., & Liu, Y. (2016). Event participation recommendation in event-based social networks. In Social Informatics - 8th International Conference, SocInfo 2016, Proceedings (Vol. 10046 LNCS, pp. 361-375). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10046 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-319-47880-7_22

Event participation recommendation in event-based social networks. / Ding, Hao; Yu, Chenguang; Li, Guangyu; Liu, Yong.

Social Informatics - 8th International Conference, SocInfo 2016, Proceedings. Vol. 10046 LNCS Springer Verlag, 2016. p. 361-375 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10046 LNCS).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Ding, H, Yu, C, Li, G & Liu, Y 2016, Event participation recommendation in event-based social networks. in Social Informatics - 8th International Conference, SocInfo 2016, Proceedings. vol. 10046 LNCS, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 10046 LNCS, Springer Verlag, pp. 361-375, 8th International Conference on Social Informatics, SocInfo 2016, Bellevue, United States, 11/11/16. https://doi.org/10.1007/978-3-319-47880-7_22
Ding H, Yu C, Li G, Liu Y. Event participation recommendation in event-based social networks. In Social Informatics - 8th International Conference, SocInfo 2016, Proceedings. Vol. 10046 LNCS. Springer Verlag. 2016. p. 361-375. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-319-47880-7_22
Ding, Hao ; Yu, Chenguang ; Li, Guangyu ; Liu, Yong. / Event participation recommendation in event-based social networks. Social Informatics - 8th International Conference, SocInfo 2016, Proceedings. Vol. 10046 LNCS Springer Verlag, 2016. pp. 361-375 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
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