標題: Optimizing Social-Topic Engagement on Social Network and Knowledge Graph
作者: Teng, Ya-Wen
Shi, Yishuo
Tsai, Jui-Yi
Shuai, Hong-Han
Tai, Chih-Hua
Yang, De-Nian
交大名義發表
National Chiao Tung University
關鍵字: social network;knowledge graph;social-topic engagement;group query
公開日期: 1-Jan-2019
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.
URI: http://hdl.handle.net/11536/155234
ISBN: 978-1-7281-0962-6
ISSN: 2334-0983
期刊: 2019 IEEE GLOBAL COMMUNICATIONS CONFERENCE (GLOBECOM)
起始頁: 0
結束頁: 0
Appears in Collections:Conferences Paper