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OPGs-Rec: Organized-POI-Groups Based Recommendation

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 9932))

Abstract

With development of urban modernization, a large number of Organized POI Groups (OPGs), such as multipurpose buildings, business streets and shopping malls, scatter over the city which have a great impact on people’s lives and urban planning etc. Nowadays recommender system is based on Point-of-Interest (POI) which plays an important role in ours lives. However, it is well-known that there exists no work about groups of POIs which serves in recommendation. In this paper, we propose an OPGs-Rec, a novel OPGs-Based recommender system that recommends OPGs extracted from sets of POIs to target users by their locations and needs. We will demonstrate step by step how use OPGs to recommend valuable information to target users.

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Notes

  1. 1.

    http://lbs.juhe.cn/data.php?PHPSESSID=acunetixsessionfixation.

  2. 2.

    http://developer.baidu.com/map/reference/index.php.

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Correspondence to JiaPeng Li , Yanxia Xu or Lei Zhao .

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© 2016 Springer International Publishing Switzerland

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Li, J., Xu, Y., Zhao, L. (2016). OPGs-Rec: Organized-POI-Groups Based Recommendation. In: Li, F., Shim, K., Zheng, K., Liu, G. (eds) Web Technologies and Applications. APWeb 2016. Lecture Notes in Computer Science(), vol 9932. Springer, Cham. https://doi.org/10.1007/978-3-319-45817-5_56

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  • DOI: https://doi.org/10.1007/978-3-319-45817-5_56

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-45816-8

  • Online ISBN: 978-3-319-45817-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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