Cited By
View all- Yang NChen LYuan Y(2021)An Improved Collaborative Filtering Recommendation Algorithm Based on Retroactive Inhibition TheoryApplied Sciences10.3390/app1102084311:2(843)Online publication date: 18-Jan-2021
A Personalized Recommendation Algorithm Considering Recent Changes in Users' Interests
Authors: 
Yiqi Gui, Xingchen TianAuthors Info & Claims
Yiqi Gui, Xingchen TianAuthors Info & ClaimsPages 127 - 132
Abstract
As the present tag-based personalized recommendation algorithm does not consider the time factor, especially the short-term impact of recent interest on the recommendation results when constructing the user interest model, a collaborative filtering algorithm that combines user interest changes and tag features is proposed in this paper. The algorithm integrates the score information and the user's long-term and short-term interest factors into the calculation of label weights, and combines with the forgotten curve method to mine the user's real hobby. The experimental results show that the algorithm is run on the delicious-2k data set. The accuracy and interpretability of algorithm has been improved.
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Index Terms
- A Personalized Recommendation Algorithm Considering Recent Changes in Users' Interests
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Under the background of leap-forward development for the internet, e-commerce has played an important role in people's daily life, but huge data sizes have also brought problems, such as information overload which can be solved by using a recommendation ...
Personalized Recommendation Algorithm Using User Demography Information
WKDD '09: Proceedings of the 2009 Second International Workshop on Knowledge Discovery and Data MiningPersonalized recommendation systems are web-based systems that aim at predicting a user’s interest on available products and services by relying on previously rated items and dealing with the problem of information and product overload. User demography ...
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Information & Contributors
Information
Published In
October 2018
221 pages
ISBN:9781450364768
DOI:10.1145/3291801
Copyright © 2018 ACM.
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In-Cooperation
- Shandong Univ.: Shandong University
- University of Queensland: University of Queensland
- Dalian Maritime University
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Association for Computing Machinery
New York, NY, United States
Publication History
Published: 27 October 2018
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- Research
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ICBDR 2018
ICBDR 2018: 2018 The 2nd International Conference on Big Data Research
October 27 - 29, 2018
Weihai, China
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View all- Yang NChen LYuan Y(2021)An Improved Collaborative Filtering Recommendation Algorithm Based on Retroactive Inhibition TheoryApplied Sciences10.3390/app1102084311:2(843)Online publication date: 18-Jan-2021
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