NDLI: An improved collaborative filtering recommendation algorithm not based on item rating

Content Provider	IEEE Xplore Digital Library
Author	Zhong Zhisheng Sun Yong Wang Yue Zhu Pengfei Gao Yue Lv Huanle Zhu Xiaolin
Copyright Year	2015
Description	Author affiliation: Sch. of Inf. & Commun. Eng., Beijing Univ. of Posts & Telecommun., Beijing, China (Zhong Zhisheng; Sun Yong; Wang Yue; Zhu Pengfei; Gao Yue; Lv Huanle; Zhu Xiaolin)
Abstract	As e-commerce grows fast nowadays, recommender systems have become an integral part of every electricity business. A number of the recommendation algorithms need score matrix (i.e., matrix that is used to record the data of the score that users value the item) as a mean of input. However, in many cases, the data only obtained the user's record matrix (i.e., matrix that contained only whether users have purchased or downloaded the item, without a score that is about a particular range), instead of the users' score matrix. Under this circumstance, the record matrix fails to reflect the preference of the user, the function of the recommendation algorithm declined. The feature of the improved algorithm the paper presents that, by recording a neighbor user (i.e., a similar user) data of purchase or download history, the current users' preference of the item can be predicted, and by record matrix authors can predict users' preferences of an item, thereby improve the effectiveness of recommendation algorithm which requires score matrix as an input.
Starting Page	230
Ending Page	233
File Size	368689
Page Count	4
File Format	PDF
e-ISBN	9781467372909
DOI	10.1109/ICCI-CC.2015.7259390
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-07-06
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Filtering algorithms Collaboration Prediction algorithms Algorithm design and analysis Information filters recommended system Collaborative Filtering no-scoring Preference degree calculation
Content Type	Text
Resource Type	Article

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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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