Learning coupled latent features via review texts for IOT service recommendation-Reference-Cited by-同舟云学术

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Learning coupled latent features via review texts for IOT service recommendation

Published:2022-07 Issue: Volume:101 Page:108084
ISSN:0045-7906
Container-title:Computers and Electrical Engineering
language:en
Short-container-title:Computers and Electrical Engineering

Author:

Zhang Quangui^ORCID,Wang Li^ORCID,Xu Keda,Lu Wenpeng,Ma Xinqiang^ORCID,Huang Yi^ORCID

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,General Computer Science,Control and Systems Engineering

Reference25 articles.

1. An overview of recommender systems in the internet of things;Felfernig;J Intell Inf Syst,2019

2. IAMHAPPY: Towards an IoT knowledge-based cross-domain well-being recommendation system for everyday happiness;Gyrard;Smart Health,2020

3. Rating-boosted latent topics: Understanding users and items with ratings and reviews;Tan,2016

4. Â 3NCF: An adaptive aspect attention model for rating prediction;Cheng,2018

5. Neural collaborative filtering;He,2017

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1. CNNRec: Convolutional Neural Network based recommender systems - A survey;Engineering Applications of Artificial Intelligence;2024-07

2. A systematic review on recommendation-based link selection strategy in the social internet of things network;2023 7th International Conference on Internet of Things and Applications (IoT);2023-10-25

3. Feature fusion based deep neural collaborative filtering model for fertilizer prediction;Expert Systems with Applications;2023-04

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