2018 | OriginalPaper | Buchkapitel
Location-Aware Group Preference Queries in Social-Networks
verfasst von : Ammar Sohail, Arif Hidayat, Muhammad Aamir Cheema, David Taniar
Erschienen in: Databases Theory and Applications
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Abstract
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at a location of interest using smart devices which then is published on social network and this information can be exploited for recommendation. In this paper, we propose a new type of query called Geo-Social Group preference Top-k (SG-\(Top_k\)) query. For a group of users, a SG-\(Top_k\) query returns top-k places that are most likely to satisfy the needs of users based on spatial and social relevance. Finally, we conduct an exhaustive evaluation of proposed schemes to answer the query and demonstrate the effectiveness of the proposed approaches.