Paper Title:
A Novel Personalized Filtering Recommendation Algorithm Based on Collaborative Tagging
  Abstract

Recommendation algorithms suffer the quality from the huge and sparse dataset. Memory-based collaborative filtering method has addressed the problem of sparsity by predicting unrated values. However, this method increases the computational complexity, sparsity and expensive complexity of computation are trade-off. In this paper, we propose a novel personalized filtering (PF) recommendation algorithm based on collaborative tagging, which weights the feature of tags that show latent personal interests and constructs a top-N tags set to filter out the undersized and dense dataset. The PF recommendation algorithm can track the changes of personal interests, which is an untilled field for previous studies. The results of empirical experiments show that the sparsity level of PF recommendation algorithm is much lower, and it is more computationally economic than previous algorithms.

  Info
Periodical
Edited by
Wenya Tian and Linli Xu
Pages
621-625
DOI
10.4028/www.scientific.net/AMR.186.621
Citation
M. Y. Sun, W. F. Sun, X. D. Liu, L. Xue, "A Novel Personalized Filtering Recommendation Algorithm Based on Collaborative Tagging", Advanced Materials Research, Vol. 186, pp. 621-625, 2011
Online since
January 2011
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: Lu Na Byon, Jeong Hye Han
Abstract:As electronic commerce progresses, temporal association rules are developed by time to offer personalized services for customer’s interests....
287
Authors: Hai Feng Li, Ning Zhang
Chapter 1: Transportation & Service Science
Abstract:Maximal frequent itemsets are one of several condensed representations of frequent itemsets, which store most of the information contained in...
21
Authors: Zhen Hui Xu, Bao Quan Mao, Li Xu, Jun Yan Zhao
Chapter 5: Computer-Aided Design in Materials Engineering
Abstract:In order to improve the real-time character of missile radiator tracking and solve the predicting tracking problem when missile radiator...
1584
Authors: Xuan Wang, Fa Zhang
Chapter 2: Mathematical Methods and Information Technologies in Industrial Engineering
Abstract:RNA interference (RNAi) is a mechanism for sequence-specific, post-transcriptional down-regulation of gene expression. The success of RNAi...
214