ADDRESSING THE NEW USER COLD-START PROBLEM IN RECOMMENDER SYSTEMS USING ORDERED WEIGHTED AVERAGING OPERATOR

Q: How can I download an article?

To download an article from SID, first log in to the site, search for the article title, and click on the 'Download Article' option.

Q: How can I download an ISI article?

To download an ISI article on SID, enter the keyword or article title in the search bar, view the relevant results, click on the desired article, and select the 'Download Article' option.

Q: How can I access the SID database?

To access the SID database, visit SID.ir, create an account, and log in to access scientific resources.

Q: Is downloading articles from SID free?

Some articles on SID are available for free, while others require payment. Details are specified on the article's page.

BASIRI JAVAD; SHAKERY AZADEH; MOSHIRI BEHZAD; ZI HAYAT MORTEZA

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Journal Paper

Paper Information

Journal: International Journal of Information and Communication Technology Research Year:2010 | Volume:2 | Issue:4 Page(s): 79-87

Download Full-Text

View:

286

Download:

Cites:

Information Journal Paper

Title

ADDRESSING THE NEW USER COLD-START PROBLEM IN RECOMMENDER SYSTEMS USING ORDERED WEIGHTED AVERAGING OPERATOR

Author(s)

BASIRI JAVAD | SHAKERY AZADEH | MOSHIRI BEHZAD | ZI HAYAT MORTEZA

Keywords

RECOMMENDER SYSTEM

COLLABORATIVE FILTERING

CONTENT-BASED FILTERING

DEMOGRAPHIC- INFORMATION

HYBRID APPROACH

OWA

Abstract

RECOMMENDER SYSTEMs have become significant tools in electronic commerce, proposing effectively those items that best meet the preferences of users. A variety of techniques have been proposed for the RECOMMENDER SYSTEMs such as, COLLABORATIVE FILTERING and CONTENT-BASED FILTERING. This study proposes a new hybrid RECOMMENDER SYSTEM that focuses on improving the performance under the “new user cold-start” condition where existence of users with no ratings or with only a small number of ratings is probable. In this method, the optimistic exponential type of ordered weighted averaging (OWA) operator is applied to fuse the output of five RECOMMENDER SYSTEM strategies.Experiments using MovieLens dataset show the superiority of the proposed HYBRID APPROACH in the cold-start conditions.

Multimedia

No record.

Cites

No record.

References

No record.

Cite

APA: Copy

BASIRI, JAVAD, SHAKERY, AZADEH, MOSHIRI, BEHZAD, & ZI HAYAT, MORTEZA. (2010). ADDRESSING THE NEW USER COLD-START PROBLEM IN RECOMMENDER SYSTEMS USING ORDERED WEIGHTED AVERAGING OPERATOR. INTERNATIONAL JOURNAL OF INFORMATION AND COMMUNICATION TECHNOLOGY RESEARCH, 2(4), 79-87. SID. https://sid.ir/paper/315113/en

Vancouver: Copy

BASIRI JAVAD, SHAKERY AZADEH, MOSHIRI BEHZAD, ZI HAYAT MORTEZA. ADDRESSING THE NEW USER COLD-START PROBLEM IN RECOMMENDER SYSTEMS USING ORDERED WEIGHTED AVERAGING OPERATOR. INTERNATIONAL JOURNAL OF INFORMATION AND COMMUNICATION TECHNOLOGY RESEARCH[Internet]. 2010;2(4):79-87. Available from: https://sid.ir/paper/315113/en

IEEE: Copy

JAVAD BASIRI, AZADEH SHAKERY, BEHZAD MOSHIRI, and MORTEZA ZI HAYAT, “ADDRESSING THE NEW USER COLD-START PROBLEM IN RECOMMENDER SYSTEMS USING ORDERED WEIGHTED AVERAGING OPERATOR,” INTERNATIONAL JOURNAL OF INFORMATION AND COMMUNICATION TECHNOLOGY RESEARCH, vol. 2, no. 4, pp. 79–87, 2010, [Online]. Available: https://sid.ir/paper/315113/en

Related Journal Papers

No record.

Related Seminar Papers

No record.

Related Plans

No record.

Recommended Workshops