Proceedings of the 2017 7th International Conference on Mechatronics, Computer and Education Informationization (MCEI 2017)

Study on Tourism Recommendation Model Based on Neogeneity and Diversity Identification

Authors
Xiaoxue Zhao, Yucheng Zhang, Zhangli Zhou, Lili Wang
Corresponding Author
Xiaoxue Zhao
Available Online December 2017.
DOI
10.2991/mcei-17.2017.154How to use a DOI?
Keywords
Recommendation system; Novelty; Diversity
Abstract

With the development of Internet technology, people often choose to make travel plans through the recommendation system of travel websites, but many travel recommendation systems can not meet the real needs of tourists. Based on the novelty and diversity of tourism recommendation system, this paper introduces two common recommendation and calculation methods of diversified algorithms, and then compares the diversity and novelty of the two methods through the tourism data in Xi'an and carries out experimental simulation .

Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2017 7th International Conference on Mechatronics, Computer and Education Informationization (MCEI 2017)
Series
Advances in Computer Science Research
Publication Date
December 2017
ISBN
978-94-6252-430-9
ISSN
2352-538X
DOI
10.2991/mcei-17.2017.154How to use a DOI?
Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Xiaoxue Zhao
AU  - Yucheng Zhang
AU  - Zhangli Zhou
AU  - Lili Wang
PY  - 2017/12
DA  - 2017/12
TI  - Study on Tourism Recommendation Model Based on Neogeneity and Diversity Identification
BT  - Proceedings of the 2017 7th International Conference on Mechatronics, Computer and Education Informationization (MCEI 2017)
PB  - Atlantis Press
SP  - 723
EP  - 730
SN  - 2352-538X
UR  - https://doi.org/10.2991/mcei-17.2017.154
DO  - 10.2991/mcei-17.2017.154
ID  - Zhao2017/12
ER  -