Volume 6 Number 6 (Jun. 2011)
Home > Archive > 2011 > Volume 6 Number 6 (Jun. 2011) >
JSW 2011 Vol.6(6): 993-1000 ISSN: 1796-217X
doi: 10.4304/jsw.6.6.993-1000

A New Similarity Measure Based on Adjusted Euclidean Distance for Memory-based Collaborative Filtering

Huifeng Sun, Yong Peng, Junliang Chen, Chuanchang Liu, Yuzhuo Sun

State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, China

Abstract—Memory-based collaborative filtering (CF) is applied to help users to find their favorite items in recommender systems. Up to now, this approach has been proven successful in recommender systems, such as ecommerce systems. The idea of this approach is that the interest of a particular user will be more consistent with those who share similar preference with him or her. Therefore, it is critical that an appropriate similarity measure should be selected for making recommendations. This paper proposes a new similarity measure named adjusted Euclidean distance (AED) method which unifies all Euclidean distances between vectors in different dimensional vector spaces. Our AED enjoy the advantages that it takes both the length of vectors and different dimension-numbers of vector spaces into consideration. Based on two datasets MovieLens and Book-Crossing, we conduct experiments comparing our AED with two notable existing methods. The experimental results demonstrate that our AED improves the accuracy of prediction and recommendation.

Index Terms—collaborative filtering, recommender systems, adjusted Euclidean distance, similarity measure

[PDF]

Cite: Huifeng Sun, Yong Peng, Junliang Chen, Chuanchang Liu, Yuzhuo Sun, "A New Similarity Measure Based on Adjusted Euclidean Distance for Memory-based Collaborative Filtering," Journal of Software vol. 6, no. 6, pp. 993-1000, 2011.

General Information

  • ISSN: 1796-217X (Online)

  • Abbreviated Title: J. Softw.

  • Frequency:  Quarterly

  • APC: 500USD

  • DOI: 10.17706/JSW

  • Editor-in-Chief: Prof. Antanas Verikas

  • Executive Editor: Ms. Cecilia Xie

  • Abstracting/ Indexing: DBLP, EBSCO,
           CNKIGoogle Scholar, ProQuest,
           INSPEC(IET), ULRICH's Periodicals
           Directory, WorldCat, etc

  • E-mail: jsweditorialoffice@gmail.com

  • Jun 12, 2024 News!

    Vol 19, No 2 has been published with online version   [Click]

  • Jan 04, 2024 News!

    JSW will adopt Article-by-Article Work Flow

  • Apr 01, 2024 News!

    Vol 14, No 4- Vol 14, No 12 has been indexed by IET-(Inspec)     [Click]

  • Apr 01, 2024 News!

    Papers published in JSW Vol 18, No 1- Vol 18, No 6 have been indexed by DBLP   [Click]

  • Mar 01, 2024 News!

    Vol 19, No 1 has been published with online version    [Click]