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Mobile Services Recommendation

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Mobile Service Computing

Part of the book series: Advanced Topics in Science and Technology in China ((ATSTC,volume 58))

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Abstract

The overwhelming amount of services makes it difficult for users to find appropriate services to meet their functional and non-functional requirements. Therefore, the service recommendation technique becomes an important role in helping using services. Besides the typical methods driven by service properties, some external information can also be introduced to improve the recommendation of mobile services. This chapter proposes three different recommendation approaches that consider users’ context, trust and social information respectively to improve the recommendation quality.

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Notes

  1. 1.

    https://www.uber.com/.

  2. 2.

    https://lbsyun.baidu.com/index.php.

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Correspondence to Shuiguang Deng .

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Deng, S., Wu, H., Yin, J. (2020). Mobile Services Recommendation. In: Mobile Service Computing. Advanced Topics in Science and Technology in China, vol 58. Springer, Singapore. https://doi.org/10.1007/978-981-15-5921-1_4

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  • DOI: https://doi.org/10.1007/978-981-15-5921-1_4

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-15-5920-4

  • Online ISBN: 978-981-15-5921-1

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