JOURNAL ARTICLE

Research on Personalized Sports E-commerce Recommendation System

Abstract

With the improvement of people's living standards, pursuiting fitness and longevity, and enjoying sports concept tours and entertainment are palying an important part in sports purchasing power. "Fitness" and "Beijing 2008 Olympic Games," are make sports market more flourishing. To meet the personalized needs of customers in Sports E-commerce, a Personalized Sports E-commerce Recommendation System (PSERS) was proposed in the paper. The structure of system and key technologies of realizing user interest module, personalized recommendation algorithm module are introduced in the paper. In the future, The system will be realized and tested.

Keywords:
E-commerce Recommender system Computer science World Wide Web

Metrics

1
Cited By
0.00
FWCI (Field Weighted Citation Impact)
6
Refs
0.19
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Big Data Technologies and Applications
Social Sciences →  Decision Sciences →  Information Systems and Management
Web Data Mining and Analysis
Physical Sciences →  Computer Science →  Information Systems
Video Analysis and Summarization
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition

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