Paper Title:
Applying Collaborative Filtering Techniques for Individual Fashion Recommendation
  Abstract

Collaborative filtering (CF) technique is the most successful method for recommendation system. In this article, we developed a fashion recommendation system by using CF technique. In order to improve on data sparseness problems in CF technique, firstly we built users’ similarities based on users’ background information which is related with fashion, then the neighbors’ predicting ratings were filled into the U-I rating matrix in advance before the traditional collaborative filtering. While computing the background information similarities, we develop a hybrid similarity model which can deal with different types of properties. The method can solve the data sparseness of U-I rating matrix effectively.

  Info
Periodical
Advanced Materials Research (Volumes 102-104)
Edited by
Guozhong Chai, Congda Lu and Donghui Wen
Pages
31-35
DOI
10.4028/www.scientific.net/AMR.102-104.31
Citation
J. L. Lei, J. Wang, G. D. Lu, S. M. Fei, "Applying Collaborative Filtering Techniques for Individual Fashion Recommendation", Advanced Materials Research, Vols. 102-104, pp. 31-35, 2010
Online since
March 2010
Export
Price
$32.00
Share

In order to see related information, you need to Login.

In order to see related information, you need to Login.

Authors: Yae Dai
Abstract:Personalized recommendation systems are web-based systems that aim at predicting a user’s interest on available products and services by...
667
Authors: Kai Zhou
Chapter 2: Building Materials, Mechanical Engineering and Environment
Abstract:Recommender systems are becoming increasingly popular, and collaborative filtering method is one of the most important technologies in...
289
Authors: Hang Yin, Gui Ran Chang, Xing Wei Wang
Chapter 8: Signal Processing
Abstract:this recommendation algorithm based on User-Item Attribute Rating Matrix (UIARM) can solve the cold-start problem, but the recommended low...
1544
Authors: Yang Zhang, Hua Shen, Guo Shun Zhou
Chapter 1: Engineering Design. Theory and Practice
Abstract:Collaborative Filtering (CF) algorithms are widely used in recommender systems to deal with information overload. However, with the rapid...
428
Authors: Wei Bin Deng, Jin Liu
Chapter 15: Software and Computer in Research and Engineering Solutions
Abstract:Traditional collaborative filtering algorithms are facing severe challenges of sparse user rating and real-time recommendation. To solve the...
2430