A multimodel context-aware tourism recommendation service: Approach and architecture


如何引用文章

全文:

开放存取 开放存取
受限制的访问 ##reader.subscriptionAccessGranted##
受限制的访问 订阅存取

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


版权所有 © Pleiades Publishing, Ltd., 2017
##common.cookie##