A multimodel context-aware tourism recommendation service: Approach and architecture
- 作者: Kashevnik A.1, Ponomarev A.1, Smirnov A.1,2
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隶属关系:
- St. Petersburg Institute for Informatics and Automation of the Russian Academy of Sciences
- ITMO University
- 期: 卷 56, 编号 2 (2017)
- 页面: 245-258
- 栏目: Artificial Intelligence
- URL: https://journals.rcsi.science/1064-2307/article/view/219847
- DOI: https://doi.org/10.1134/S1064230717020125
- ID: 219847
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详细
Recommender systems and services are now widely used to support decision-making in the fields characterized by the selection from a large number of alternatives with a significant influence of subjective preferences. A comprehensive multimodel approach to the development of context-aware recommender systems in the field of tourism information support is proposed. In particular, it is proposed to construct a recommender system based on loosely coupled modules, in which both personalized and nonpersonalized recommendation methods are implemented, and the synthesis module, which adapts the module system to the specific conditions of different kinds of initial information.
作者简介
A. Kashevnik
St. Petersburg Institute for Informatics and Automation of the Russian Academy of Sciences
编辑信件的主要联系方式.
Email: alexey@iias.spb.su
俄罗斯联邦, St. Petersburg
A. Ponomarev
St. Petersburg Institute for Informatics and Automation of the Russian Academy of Sciences
Email: alexey@iias.spb.su
俄罗斯联邦, St. Petersburg
A. Smirnov
St. Petersburg Institute for Informatics and Automation of the Russian Academy of Sciences; ITMO University
Email: alexey@iias.spb.su
俄罗斯联邦, St. Petersburg; St. Petersburg