Interest-Aware Next POI Recommendation for Mobile Social Networks
| Autor: | Sanglu Lu, Daoxu Chen, Ming Chen, Lin Qian, Wenzhong Li |
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| Rok vydání: | 2018 |
| Předmět: |
Topic model
Information retrieval Mobile social network Computer science 020204 information systems Supervised learning Location-based service 0202 electrical engineering electronic engineering information engineering Feature (machine learning) Contextual information 020201 artificial intelligence & image processing 02 engineering and technology Preference |
| Zdroj: | Wireless Algorithms, Systems, and Applications ISBN: 9783319942674 WASA |
| DOI: | 10.1007/978-3-319-94268-1_3 |
| Popis: | Recommending the next point-of-interest (POI) to mobile users is an interesting topic for mobile social networks to provide personalized location-based services. In this paper, we propose an interest-aware next POI recommendation approach, which consider the location interest among similar users and the contextual information (such as time, current location, and friends preference) for POI recommendation. We develop a spatial-temporal topic model to describe users location interest, based on which we form comprehensive feature representations regarding user interest and contextual information. We propose a supervised learning prediction model for next POI recommendation. Experiments based on the Gowalla dataset verify the accuracy and efficiency of the proposed approach. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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