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A motivation-aware approach for point of interest recommendations
, Vakeel K A
Published in Semantic Scholar
Volume: 1685
Pages: 24 - 29

Most existing context aware recommender systems primarily use a combination of ratings data, content data like features or attributes of the product or service, context data like location or time and social network data. In this paper, we propose a novel approach for refining the recommendations made by location-aware recommender systems based on user motivations for checking in at locations in location based social networks. Based on a classification that classifies user’s motivation for checking in at a Point Of Interest into seven categories we propose an approach that will help refine recommendations in a way which can be better explained to the user. We also show the applicability of our approach by analyzing a dataset extracted from Foursquare.

About the journal
JournalCEUR Workshop Proceedings
PublisherSemantic Scholar
Open AccessYes
Concepts (4)
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    Location-based social networks
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    Point of interests recommendations
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