Leveraging Behavioral Heterogeneity Across Markets for Cross-Market Training of Recommender Systems-Reference-Cited by-同舟云学术

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Leveraging Behavioral Heterogeneity Across Markets for Cross-Market Training of Recommender Systems

Published:2020-04-20 Issue: Volume: Page:
ISSN:
Container-title:Companion Proceedings of the Web Conference 2020
language:
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Author:

Roitero Kevin¹,Carterette Ben²,Mehrotra Rishabh²,Lalmas Mounia²

Affiliation:

1. University of Udine

2. Spotify

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3366424.3384362

Reference31 articles.

1. Context-aware recommender systems

2. Multiple testing in statistical analysis of systems-based information retrieval experiments

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1. Large Language Models are Zero-Shot Rankers for Recommender Systems;Lecture Notes in Computer Science;2024

2. Cross-Market Recommendation with Two-Stage Graph Learning;2023 8th International Conference on Computer Science and Engineering (UBMK);2023-09-13

3. How Many Crowd Workers Do I Need? On Statistical Power when Crowdsourcing Relevance Judgments;ACM Transactions on Information Systems;2023-08-18

4. Conditional Cross-Platform User Engagement Prediction;ACM Transactions on Information Systems;2023-08-18

5. Cross-Market Product-Related Question Answering;Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval;2023-07-18

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