Optimizing social-topic engagement on social network and knowledge graph

Ya Wen Teng*, Yishuo Shi, Jui Yi Tsai, Hong-Han Shuai, Chih Hua Tai, De Nian Yang

*Corresponding author for this work

研究成果: Conference contribution同行評審

摘要

Existing research on social networks manifests two crucial criteria to improve activity engagement of users: (1) user interests in the activity topics and (2) opportunities of making new friends with some acquaintances. However, current online platforms still involve massive manual selection for activity attendees and contents without proper recommendations. In this paper, therefore, we formulate a new activity organization problem, named Social Knowledge Group Query (SKGQ), to recommend attendees and topic-related contents simultaneously. We prove that SKGQ is NP-hard and design an approximation algorithm, named Social cOntent Knowledge Exploration (SOKE), to jointly choose the activity attendees and topic-related contents according to social-oriented and topic- oriented strategies. Simulation results manifest that the solution acquired by SOKE is close to the optimal solution and outperforms various baselines.

原文English
主出版物標題2019 IEEE Global Communications Conference, GLOBECOM 2019 - Proceedings
發行者Institute of Electrical and Electronics Engineers Inc.
頁數6
ISBN(電子)9781728109626
DOIs
出版狀態Published - 十二月 2019
事件2019 IEEE Global Communications Conference, GLOBECOM 2019 - Waikoloa, United States
持續時間: 9 十二月 201913 十二月 2019

出版系列

名字2019 IEEE Global Communications Conference, GLOBECOM 2019 - Proceedings

Conference

Conference2019 IEEE Global Communications Conference, GLOBECOM 2019
國家United States
城市Waikoloa
期間9/12/1913/12/19

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