An Adaptive Recommender System for Computational Serendipity-Reference-Cited by-同舟云学术

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An Adaptive Recommender System for Computational Serendipity

Published:2018-09-10 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2018 ACM SIGIR International Conference on Theory of Information Retrieval
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Author:

Niu Xi¹

Affiliation:

1. University of North Carolina at Charlotte, Charlotte, NC, USA

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3234944.3234974

Reference13 articles.

1. Towards a definition of serendipity in information behaviour;Agarwal Naresh Kumar;Information Research: An International Electronic Journal,2015

2. From x-rays to silly putty via Uranus

3. Programming for Serendipity

4. Edward De Bono . 2010. Lateral thinking: a textbook of creativity. Penguin Books. Edward De Bono . 2010. Lateral thinking: a textbook of creativity. Penguin Books.

Cited by 8 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. A Deep Learning Model for Cross-Domain Serendipity Recommendations;ACM Transactions on Recommender Systems;2024-08-29

2. P3C: A Curiosity-Driven Recommendation Method Based on Preference and Consensus;Proceedings of the 2024 6th International Conference on Big Data Engineering;2024-07-24

3. Modeling Users’ Curiosity in Recommender Systems;ACM Transactions on Knowledge Discovery from Data;2023-10-16

4. Deep Learning Models for Serendipity Recommendations: A Survey and New Perspectives;ACM Computing Surveys;2023-08-26

5. SNPR;Proceedings of the 30th ACM International Conference on Information & Knowledge Management;2021-10-26

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