In Good Company: Efficient Retrieval of the Top-k Most Relevant Event-Partner Pairs

Dingming Wu, Yi Zhu, Christian S. Jensen

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

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Abstract

The proliferation of event-based social networking (ESBN) motivates a range of studies on topics such as event, venue, and friend recommendation and event creation and organization. In this setting, the notion of event-partner recommendation has recently attracted attention. When recommending an event to a user, this functionality allows recommendation of partner with whom to attend the event. However, existing proposals are push-based: recommendations are pushed to users at the system’s initiative. In contrast, EBSNs provide users with keyword-based search functionality. This way, users may retrieve information in pull mode. We propose a new way of accessing information in EBSNs that combines push and pull, thus allowing users to not only conduct ad-hoc searches for events, but also to receive partner recommendations for retrieved events. Specifically, we define and study the top-k event-partner (kEP) pair retrieval query that integrates event-partner recommendation and keyword-based search for events. The query retrieves event-partner pairs, taking into account the relevance of events to user-supplied keywords and so-called together preferences that indicate the extent of a user’s preference to attend an event with a given partner. In order to compute kEP queries efficiently, we propose a rank-join based framework with three optimizations. Results of empirical studies with implementations of the proposed techniques demonstrate that the proposed techniques are capable of excellent performance.
Original languageEnglish
Title of host publicationDatabase Systems for Advanced Applications - 24th International Conference, DASFAA 2019, Proceedings : DASFAA 2019: Database Systems for Advanced Applications
EditorsJuggapong Natwichai, Guoliang Li, Jun Yang, Joao Gama, Yongxin Tong
Number of pages17
PublisherSpringer
Publication date2019
Pages519-535
ISBN (Print)9783030185787
ISBN (Electronic)978-3-030-18579-4
DOIs
Publication statusPublished - 2019
EventInternational Conference on Database Systems for Advanced Applications - Chiang Mai, Thailand
Duration: 22 Apr 201925 Apr 2019

Conference

ConferenceInternational Conference on Database Systems for Advanced Applications
CountryThailand
CityChiang Mai
Period22/04/201925/04/2019
SeriesLecture Notes in Computer Science (LNCS)
Volume11447
ISSN0302-9743

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