Personalized information recommendation model based on context contribution and item correlation-Reference-Cited by-同舟云学术

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Personalized information recommendation model based on context contribution and item correlation

Published:2019-08 Issue: Volume:142 Page:30-39
ISSN:0263-2241
Container-title:Measurement
language:en
Short-container-title:Measurement

Author:

Lu Qibei,Guo Feipeng

Funder

Philosophy and Social Science Planning Project of Zhejiang Province

National Natural Science Foundation of China

Humanity and Social Science Project of Ministry of Education of China

Natural Science Foundation of Zhejiang Province

Hubei Key Laboratory of Mechanical Transmission and Manufacturing Engineering

Publisher

Elsevier BV

Subject

Applied Mathematics,Electrical and Electronic Engineering,Condensed Matter Physics,Instrumentation

Reference41 articles.

1. The demand effects of product recommendation networks: an empirical analysis of network diversity and stability;Lin;MIS Quarterly,2017

2. Incorporating contextual information in recommender systems using a multidimensional approach;Adomavicius;ACM Trans. Inf. Syst.,2005

3. Making smartphone service recommendations by predicting u-sers’ intentions: a context-aware approach;Lee;Inf. Sci.,2014

4. Searching for experts in a context-aware recommendation network;Carchiolo;Comput. Hum. Behav.,2015

5. Internet of Things-enabled smart cities:State-of-the-art and future trends;Alavi;Measurement,2018

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