NDLI: Preference transfer model in collaborative filtering for implicit data

Content Provider	Springer Nature Link
Author	Ju, Bin Qian, Yun tao Ye, Min chao
Copyright Year	2016
Abstract	Generally, predicting whether an item will be liked or disliked by active users, and how much an item will be liked, is a main task of collaborative filtering systems or recommender systems. Recently, predicting most likely bought items for a target user, which is a subproblem of the rank problem of collaborative filtering, became an important task in collaborative filtering. Traditionally, the prediction uses the user item co-occurrence data based on users’ buying behaviors. However, it is challenging to achieve good prediction performance using traditional methods based on single domain information due to the extreme sparsity of the buying matrix. In this paper, we propose a novel method called the preference transfer model for effective cross-domain collaborative filtering. Based on the preference transfer model, a common basis item-factor matrix and different user-factor matrices are factorized. Each user-factor matrix can be viewed as user preference in terms of browsing behavior or buying behavior. Then, two factor-user matrices can be used to construct a so-called ‘preference dictionary’ that can discover in advance the consistent preference of users, from their browsing behaviors to their buying behaviors. Experimental results demonstrate that the proposed preference transfer model outperforms the other methods on the Alibaba Tmall data set provided by the Alibaba Group.
Starting Page	489
Ending Page	500
Page Count	12
File Format	PDF
ISSN	20959184
Journal	Journal of Zhejiang University SCIENCE C
Volume Number	17
Issue Number	6
e-ISSN	20959230
Language	English
Publisher	Zhejiang University Press
Publisher Date	2016-06-11
Publisher Place	Hangzhou
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Recommender systems Collaborative filtering Preference transfer model Cross domain Implicit data Computer Science Electrical Engineering Computer Hardware Computer Systems Organization and Communication Networks Electronics and Microelectronics, Instrumentation Communications Engineering, Networks
Content Type	Text
Resource Type	Article
Subject	Signal Processing Computer Networks and Communications Electrical and Electronic Engineering Hardware and Architecture

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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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