Paper Title:
A Hybrid Method Based on HITS for Literature Recommendation
  Abstract

In this paper we propose a hybrid method of literature recommendation in the academic community. First, we refer the objective recommendation based on HITS algorithm by constructing a directed graph according to the literature citation relation and then select the articles considering the authority and hub score of each article synthetically and add them to the recommendation list. This can narrow the recommendation scope and give a more authoritive recommendation. Second, the subjective recommendation is based on collaborative filtering by comparing the ratings of other similar users for the objects in recommendation list. The difference is we discover the similar user by clustering them. And the experiment shows the method can provide better recommendation results and is timesaving.

  Info
Periodical
Edited by
Qi Luo
Pages
1636-1641
DOI
10.4028/www.scientific.net/AMM.55-57.1636
Citation
P. Y. Zhang, Y. J. Du, C. Wang, "A Hybrid Method Based on HITS for Literature Recommendation", Applied Mechanics and Materials, Vols. 55-57, pp. 1636-1641, 2011
Online since
May 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: 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: Pu Wang
Chapter 3: Automation, Control, Information Technology and Electronics Engineering
Abstract:Recommender systems have been successfully used to tackle the problem of information overload, where users of products have too many choices...
79
Authors: Zhang Bin, Wang Xiao Dong
Chapter 3: Intelligent Manufacturing and Industrial Informatics
Abstract:As an open, free, flexible social platform, microblog develops rapidly recent years. State of art research on friends recommendation has...
399
  | Authors: Guo Fang Kuang
Chapter 3: Hardware, Information Technology and System
Abstract:The recommendation system in the e-commerce is to provide customers with product information and recommendations to help customers decide...
636
Authors: Dan Er Chen, Yu Long Yin
Chapter 4: Data Processing and Applied Computational Methods and Algorithms
Abstract:With the rapid growth and wide application of Internet, everyday there are many of information generated and the existence of a large amount...
3865