Machine learning: Factorization Machines and Normalized Discounted Cumulative Gain for Tourism Recommender System Optimisation-Reference-Cited by-同舟云学术

Machine learning: Factorization Machines and Normalized Discounted Cumulative Gain for Tourism Recommender System Optimisation

Published:2021-11-17 Issue: Volume: Page:
ISSN:
Container-title:2021 IEEE International Conference on Computing (ICOCO)
language:
Short-container-title:

Author:

Baker Oras,Yuan Qing

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9673517/9673494/09673502.pdf?arnumber=9673502

Reference11 articles.

1. FM-based: Algorithm research on rural tourism recommendation combining seasonal and distribution features;zhang;Pattern Recognition Letters,2019

2. Web Intelligence in Tourism: User Experience Design and Recommender System;baker;Proceedings of the Computing and Information Technology Research and Education New Zealand (CITRENZ 2018) Conference,2018

3. Learning to rank using gradient descent

Cited by 5 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. Recommender systems applied to the tourism industry: a literature review;Cogent Business & Management;2024-06-25

2. Enhancing Personalized Educational Content Recommendation through Cosine Similarity-Based Knowledge Graphs and Contextual Signals;Information;2023-09-14

3. A novel group recommender system for domain-independent decision support customizing a grouping genetic algorithm;User Modeling and User-Adapted Interaction;2023-04-19

4. A similarity-enhanced hybrid group recommendation approach in cloud manufacturing systems;Computers & Industrial Engineering;2023-04

5. Path-Based Recommender System for Learning Activities Using Knowledge Graphs;Information;2022-12-23