A NOVEL COLLABORATIVE FILTERING MODEL BASED ON COMBINATION OF CORRELATION METHOD WITH MATRIX COMPLETION TECHNIQUE

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.

BOJNORDI E.; MORADI P.

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

Journal Paper

Paper Information

Journal: IRANIAN JOURNAL OF SCIENCE AND TECHNOLOGY TRANSACTION B- ENGINEERING Year:2013 | Volume:37 | Issue:E1 Page(s): 93-100

Download Full-Text

View:

308

Download:

223

Cites:

Information Journal Paper

Title

A NOVEL COLLABORATIVE FILTERING MODEL BASED ON COMBINATION OF CORRELATION METHOD WITH MATRIX COMPLETION TECHNIQUE

Author(s)

BOJNORDI E. | MORADI P. | Issue Writer Certificate

Keywords

RECOMMENDER SYSTEMS

COLLABORATIVE FILTERING

CORRELATION

MATRIX COMPLETION

CONVEX OPTIMIZATION

NEAREST NEIGHBORHOOD

Abstract

One of the fundamental methods used in COLLABORATIVE FILTERING systems is CORRELATION based on K-nearest neighborhood. These systems rely on historical rating data and preferences of users and items in order to propose appropriate recommendations for active users. These systems do not often have a complete matrix of input data. This challenge leads to a decrease in the accuracy level of recommendations for new users. The exact MATRIX COMPLETION technique tries to predict unknown values in data matrices. This study is to show how the exact MATRIX COMPLETION can be used as a preprocessing step to tackle the sparseness problem. Compared to application of the sparse data matrix, selection of neighborhood set for active user based on the completed data matrix leads to achieving more similar users. The main advantages of the proposed method are higher prediction accuracy and an explicit model representation. The experiments show significant improvement in prediction accuracy in comparison with other substantial methods.

Multimedia

No record.

Cites

No record.

References

No record.

Cite

APA: Copy

BOJNORDI, E., & MORADI, P.. (2013). A NOVEL COLLABORATIVE FILTERING MODEL BASED ON COMBINATION OF CORRELATION METHOD WITH MATRIX COMPLETION TECHNIQUE. IRANIAN JOURNAL OF SCIENCE AND TECHNOLOGY TRANSACTION B- ENGINEERING, 37(E1), 93-100. SID. https://sid.ir/paper/660773/en

Vancouver: Copy

BOJNORDI E., MORADI P.. A NOVEL COLLABORATIVE FILTERING MODEL BASED ON COMBINATION OF CORRELATION METHOD WITH MATRIX COMPLETION TECHNIQUE. IRANIAN JOURNAL OF SCIENCE AND TECHNOLOGY TRANSACTION B- ENGINEERING[Internet]. 2013;37(E1):93-100. Available from: https://sid.ir/paper/660773/en

IEEE: Copy

E. BOJNORDI, and P. MORADI, “A NOVEL COLLABORATIVE FILTERING MODEL BASED ON COMBINATION OF CORRELATION METHOD WITH MATRIX COMPLETION TECHNIQUE,” IRANIAN JOURNAL OF SCIENCE AND TECHNOLOGY TRANSACTION B- ENGINEERING, vol. 37, no. E1, pp. 93–100, 2013, [Online]. Available: https://sid.ir/paper/660773/en

Related Journal Papers

No record.

Related Seminar Papers

No record.

Related Plans

No record.

Recommended Workshops