Work

Optimizing User Recommendations with Variational Autoencoders: Insights from MovieLens-1M and BookCrossing Datasets

Year: 2024

Type: conference-paper

Source: IEEE International Conference on Computer Vision and Machine Intelligence (CVMI)

DOI: 10.1109/cvmi61877.2024.10782360

Authors: Kumari Samridhi, Bam Bahadur Sinha, Trinanjan Das

Institutions: Indian Institute of Information Technology Ranchi, National Institute of Technology Sikkim

Language: English

Topic: Recommender Systems and Techniques

Subfield: Information Systems

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

OpenAlex ID: W4405271200

FWCI: 0.771

Cites: 14

Cited by: 2

Related to: 10