A hybrid recommendation technique using topic embedding for rating prediction and to handle cold-start problem-Reference-Cited by-同舟云学术

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A hybrid recommendation technique using topic embedding for rating prediction and to handle cold-start problem

Published:2022-12 Issue: Volume:209 Page:118307
ISSN:0957-4174
Container-title:Expert Systems with Applications
language:en
Short-container-title:Expert Systems with Applications

Author:

Sejwal Vineet K.,Abulaish Muhammad^ORCID

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference45 articles.

1. Recop: fine-grained opinions and sentiments-based recommender system for industry 5.0;Bathla;Soft Computing,2021

2. Discovering contextual information from user reviews for recommendation purposes;Bauman,2014

3. Ensemble topic modeling via matrix factorization;Belford,2016

4. A neural probabilistic language model;Bengio;Journal of Machine Learning Research,2003

5. Latent Dirichlet allocation;Blei;Journal of Machine Learning Research,2003

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3. Explainable recommendation based on fusion representation of multi-type feature embedding;The Journal of Supercomputing;2023-12-22

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