Collaborative filtering based on subsequence matching: A new approach-Reference-Cited by-同舟云学术

Collaborative filtering based on subsequence matching: A new approach

Published:2017-12 Issue: Volume:418-419 Page:432-446
ISSN:0020-0255
Container-title:Information Sciences
language:en
Short-container-title:Information Sciences

Author:

Bellogín Alejandro,Sánchez Pablo

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Computer Science Applications,Theoretical Computer Science,Control and Systems Engineering,Software

Reference36 articles.

1. Advances in collaborative filtering;Koren,2015

2. A comprehensive survey of neighborhood-based recommendation methods;Ning,2015

3. Content-based recommender systems: state of the art and trends;Lops,2011

4. User profiling approaches for demographic recommender systems;Al-Shamri;Knowl. Based Syst.,2016

5. Social recommender systems;Guy,2015

Cited by 16 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Similarity matrix enhanced collaborative filtering for e-government recommendation;Data & Knowledge Engineering;2023-05

2. Data-Driven Diffusion Recommendation in Online Social Networks for the Internet of People;IEEE Transactions on Systems, Man, and Cybernetics: Systems;2022-01

3. Modified-PIP with Deep Neural Network (DNN) Architecture: A Coherent Recommendation Framework for Capturing User Behaviour;Studies in Big Data;2022

4. Augmenting Black Sheep Neighbour Importance for Enhancing Rating Prediction Accuracy in Collaborative Filtering;Applied Sciences;2021-09-09

5. A new user similarity measure in a new prediction model for collaborative filtering;Applied Intelligence;2020-08-22