A Study of Scenic Spot Living Facility Recommendation Based on Collaborative Filtering

被引：0

作者：

Luo, Wenbiao ^{[1
]}

机构：

[1] Guangzhou Vocat Coll Sci & Technol, Guangzhou, Guangdong, Peoples R China

来源：

2017 10TH INTERNATIONAL CONFERENCE ON INTELLIGENT COMPUTATION TECHNOLOGY AND AUTOMATION (ICICTA 2017) | 2017年

关键词：

collaborative filtering system; filtering system; living service facilities of scenic spots Introduction;

D O I：

10.1109/ICICTA.2017.92

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

For the collection of massive complex information, the collaborative filtering system can work as a highly efficient information screening tool. It can recommend reasonable information reserve with multi angles according to the living service facility information of the scenic spots. The collaborative filtering system can collect information and forecast rating results based on users' preference. According to different recommendation goals, the collaborative filtering system can recommend results for user feedback and give feedback of the recommendation results in various forms.

引用

页码：386 / 389

页数：4