Recommender systems : an overview, research trends, and future directions
Year of publication: |
2021
|
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Authors: | Singh, Pradeep Kumar ; Pramanik, Pijush Kanti Dutta ; Dey, Avick Kumar ; Choudhury, Prasenjit |
Published in: |
International journal of business and systems research : IJBSR. - Genève : Inderscience Enterprises, ISSN 1751-2018, ZDB-ID 2435974-9. - Vol. 15.2021, 1, p. 14-52
|
Subject: | recommender system | issues | challenges | literature review | filtering approach | filtering technique | information retrieval technique | machine learning | research trends | future direction | Bibliometrie | Bibliometrics | Künstliche Intelligenz | Artificial intelligence | Personalisierung | Personalization | Trend |
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Semantically enhanced machine learning approach to recommend e-learning content
Ezaldeen, Hadi, (2020)
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A study on recommender system considering diversity of items based on LDA
Zhang, Zhiying, (2021)
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Diversity preference-aware link recommendation for online social networks
Yin, Kexin, (2023)
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Prospects of Indian IT software exports with European Union : a lesson for developing countries
Singh, Pradeep Kumar, (2017)
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Singh, Pradeep Kumar, (2021)
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Service sector growth and Indian economy : an empirical analysis
Singh, Pradeep Kumar, (2023)
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