A contextual group recommender mechanism for location-based service

Lien Fa Lin, Ting Kai Hwang, Yung-Ming Li, Alvin Chang

研究成果: Conference contribution同行評審

3 引文 斯高帕斯(Scopus)

摘要

With the increasing popularity of social media and ubiquity of mobile devices, location-based services have become a trending topic in both academia and industry. These services, such as Foursquare and Facebook Places, allow users to search and explore around them. The notion of group recommendation, though new, has started to generate interest. Many scenarios in our daily lives involve others around us, be it friends or family members. Daily activities, such as watching a movie or eating at a restaurant are often done as a group. In an effort to combine location-based service features with recommender system concepts, we propose a group contextual mechanism for venue recommendation. Our research aims to discover and recommend places that may be of high relevance to a group of people. Preference, as well as social influence and context-awareness are considered as core components in our mechanism. Our system provides an efficient and convenient platform to groups for venue discovery, and increases commercial publicity for service providers.

原文English
主出版物標題2015 Americas Conference on Information Systems, AMCIS 2015
發行者Americas Conference on Information Systems
ISBN(電子)9780996683104
出版狀態Published - 8月 2015
事件21st Americas Conference on Information Systems, AMCIS 2015 - Fajardo, 波多黎各
持續時間: 13 8月 201515 8月 2015

出版系列

名字2015 Americas Conference on Information Systems, AMCIS 2015

Conference

Conference21st Americas Conference on Information Systems, AMCIS 2015
國家/地區波多黎各
城市Fajardo
期間13/08/1515/08/15

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