Recommendations as Graph Explorations-Reference-Cited by-同舟云学术

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Recommendations as Graph Explorations

Published:2020-09-22 Issue: Volume: Page:
ISSN:
Container-title:Fourteenth ACM Conference on Recommender Systems
language:
Short-container-title:

Author:

Kyriakidi Marialena¹,Koutrika Georgia²,Ioannidis Yannis³

Affiliation:

1. University of Athens and Athena Research Center, Greece,

2. Athena Research Center, Greece

3. University of Athens and Athena Research Center, Greece

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3383313.3412269

Reference36 articles.

1. 2006. Netflix Prize. https://www.netflixprize.com/ 2006. Netflix Prize. https://www.netflixprize.com/

2. 2018. Yelp Open Dataset. https://www.yelp.com/dataset 2018. Yelp Open Dataset. https://www.yelp.com/dataset

3. 2019. Madis. https://github.com/madgik/madis 2019. Madis. https://github.com/madgik/madis

4. 2019. Neo4j. https://neo4j.com/docs/ 2019. Neo4j. https://neo4j.com/docs/

Cited by 4 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. An academic recommender system on large citation data based on clustering, graph modeling and deep learning;Knowledge and Information Systems;2024-04-18

2. Path Querying in Graph Databases: A Systematic Mapping Study;IEEE Access;2024

3. Recommending on graphs: a comprehensive review from a data perspective;User Modeling and User-Adapted Interaction;2023-03-13

4. Balancing the trade-off between accuracy and diversity in recommender systems with personalized explanations based on Linked Open Data;Knowledge-Based Systems;2022-09

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