NDLI: A novel similarity calculation for collaborative filtering

Content Provider	IEEE Xplore Digital Library
Author	Hua Li Genlong Wang Min Gao
Copyright Year	2013
Description	Author affiliation: Comput. Coll., Chongqing Univ., Chongqing, China (Hua Li; Genlong Wang) \|\| Sch. of Software Eng., Chongqing Univ., Chongqing, China (Min Gao)
Abstract	Collaborative filtering, one of the most successful technologies for automated product recommendation, is widely used in electronic commerce. One notable task in practical systems is to compute the similarities between users (items) which can be represented with rating vectors. There has been a variety of similarity methods according to distance and vector-based similarity computing. However, those methods, such as the Pearson correlation method and Cosine similarity method, have never been questioned about the rationality behind those original results. In this paper, we propose a new concept named fluctuation factor which refers to the count of the common rated items between two rating vectors. In addition, one feasible way is presented to remove the influence of different fluctuation factors by z-score method. Finally, 4 kinds of similarity measurements, in both user-based and item-based collaborative filtering algorithm, are combined with the concept to check the effect. After the comparison of the experiment, results demonstrate that those methods can lead to a better recommendation quality when the influence of different fluctuation factors is removed.
Starting Page	38
Ending Page	43
File Size	851747
Page Count	6
File Format	PDF
ISBN	9781479904150
ISSN	21585695
e-ISBN	9781479904174
DOI	10.1109/ICWAPR.2013.6599289
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-07-14
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Correlation Collaborative Filtering Filtering Abstracts Similarity Calculation Fluctuation Factor
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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