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/).
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 -