Efficient User Profiling Based Intelligent Travel Recommender System for Individual and Group of Users-Reference-Cited by-同舟云学术

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Efficient User Profiling Based Intelligent Travel Recommender System for Individual and Group of Users

Published:2018-05-23 Issue:3 Volume:24 Page:1018-1033
ISSN:1383-469X
Container-title:Mobile Networks and Applications
language:en
Short-container-title:Mobile Netw Appl

Author:

Logesh R.,Subramaniyaswamy V.,Vijayakumar V.,Li Xiong

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Hardware and Architecture,Information Systems,Software

Link

http://link.springer.com/content/pdf/10.1007/s11036-018-1059-2.pdf

Reference45 articles.

1. Adomavicius G, Tuzhilin A (2005) Toward the next generation of recommender systems: a survey of the state-of-the-art and possible extensions. Knowl Data Eng IEEE Trans 17:734–749

2. Amoretti M, Belli L, Zanichelli F (2017) UTravel: smart mobility with a novel user profiling and recommendation approach. Pervasive Mobil Comput 38:474–489

3. Baral R, Wang D, Li T, Chen SC (2016) GeoTeCS: exploiting geographical, temporal, categorical and social aspects for personalized poi recommendation. In information reuse and integration (IRI), 2016 IEEE 17th international conference on (pp. 94-101). IEEE

4. Baraldi A, Blonda P (1999) A survey of fuzzy clustering algorithms for pattern recognition. I. IEEE Transactions on Systems. Man, Cybernetics, Part B (Cybernetics) 29(6):778–785

5. Bezdek JC, Ehrlich R, Full W (1984) FCM: the fuzzy c-means clustering algorithm. Comput Geosci 10(2–3):191–203

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