Next-item recommendation within a short session using the combined features of horizontal and vertical convolutional neural network-Reference-Cited by-同舟云学术

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Next-item recommendation within a short session using the combined features of horizontal and vertical convolutional neural network

Published:2023-10-05 Issue: Volume: Page:
ISSN:1380-7501
Container-title:Multimedia Tools and Applications
language:en
Short-container-title:Multimed Tools Appl

Author:

Kumar Chhotelal^ORCID,Kumar Mukesh^ORCID

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Hardware and Architecture,Media Technology,Software

Link

https://link.springer.com/content/pdf/10.1007/s11042-023-17201-z.pdf

Reference33 articles.

1. Ekstrand MD, Riedl JT, Konstan JA et al (2011) Collaborative filtering recommender systems. Found Trends® in Hum–Comput Interact 4(2)81–173

2. Pazzani MJ, Billsus D (2007) Content-based recommendation systems. In: The adaptive web, Springer, pp 325–341

3. Schafer JB, Frankowski D, Herlocker J, Sen S (2007) Collaborative filtering recommender systems. In: The adaptive web, Springer, pp 291–324

4. Burke R (2002) Hybrid recommender systems: Survey and experiments. User Model User-Adap Inter 12(4):331–370

5. Kumar C, Kumar M (2022) User session interaction-based recommendation system using various machine learning techniques. Multimed Tools Appl pp 1–31

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