Simple and effective neural-free soft-cluster embeddings for item cold-start recommendations

Simple and effective neural-free soft-cluster embeddings for item cold-start recommendations

<p>Recommender systems are widely used in online platforms for easy exploration of personalized content. The best available recommendation algorithms are based on using the observed preference information among collaborating entities. A significant challenge in recommender system continues to...

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Bibliographic Details
Main Author: Shameem A. Puthiya Parambath (14150997) (author)
Other Authors: Sanjay Chawla (4254202) (author)
Published: 2022
Subjects:
Information and computing sciences
Applied computing
Data management and data science
Distributed computing and systems software
Recommender systems
Item recommendation
Item cold-start problem
Soft-cluster embeddings
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