Hotel Travel Recommendation based on Blog Information

被引：0

作者：

Zulkefli, Nurul Akhmal Binti Mohd ^{[1
]}

bin Baharudin, Baharum ^{[1
]}

机构：

[1] Univ Teknol PETRONAS, Comp & Informat Sci, Tronoh, Malaysia

来源：

2015 INTERNATIONAL SYMPOSIUM ON MATHEMATICAL SCIENCES AND COMPUTING RESEARCH (ISMSC) | 2015年

关键词：

travel recommender systems; blog; collaborative filtering;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

In this paper, we presenting our proposed recommending hotels for the users based on the user experience reviews in blog. Usually, hotel recommendation systems recommend hotels based on non-spatial attributes of hotels such as price and rating and do not utilize surrounding environments well. In contrast, we consider the existing of much information in blogs that have a substantial input of surrounding conditions. The information in the blog is useful as user review the hotel based on their experience and some information contains many pictures and video that can improve the hotel travel recommendation results. In this work the hotel recommendation provides the suggested hotel by learning the user's preferences. Each user's preference is used as a key to find the information in blogs. Meanwhile, the ranking result for all blogs is filtered by users who rate each blog, in terms of whether or not they can find hotel information. Finally, results will be displayed based on the blog ranking

引用

页码：243 / 248

页数：6

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