Location Recommendation in Geo-Social Networks: A Human-Centric Agent-Based Approach
Open access
Date
2018-01-15Type
- Conference Paper
ETH Bibliography
no
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Abstract
Many services in the world use recommendation mechanisms. Recommender systems make use of information about their users to provide accurate suggestions for them. Geo-social networks are a platform to share location and ideas with friends, a rich source of information about users and their behaviors. Therefore, they are appropriate places to utilize recommender systems. This paper presents a Belief-Desire-Intention (BDI) framework to model the users of a location recommender in geo-social networks. Show more
Permanent link
https://doi.org/10.3929/ethz-b-000225616Publication status
publishedBook title
Adjunct Proceedings of the 14th International Conference on Location Based ServicesPages / Article No.
Publisher
ETH ZurichEvent
Subject
Location recommendation; Geo-social networks; Belief-Desire-Intention; Agent-based modelingRelated publications and datasets
Is part of: https://doi.org/10.3929/ethz-b-000224043
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ETH Bibliography
no
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