Optimizing Reciprocal Rank with Bayesian Average for improved Next Item Recommendation-Reference-Cited by-同舟云学术

Optimizing Reciprocal Rank with Bayesian Average for improved Next Item Recommendation

Published:2023-07-18 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval
language:
Short-container-title:

Author:

Lu Xiangkui¹^ORCID,Wu Jun²^ORCID,Yuan Jianbo³^ORCID

Affiliation:

1. Beijing Jiaotong University, Beijing, China

2. Beijing Jiaotong University & Engineering Research Center of Integration and Application of Digital Learning Technology,Ministry of Education, Beijing, China

3. ByteDance, Bellevue, WA, USA

Funder

the National Key Research and Development Plan of China

the Innovation Found from the Engineering Research Center of Integration and Application of Digital Learning Technology, Ministry of Education

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3539618.3592033

Reference26 articles.

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2. Suhrid Balakrishnan and Sumit Chopra. 2012. Collaborative ranking. In WSDM. ACM 143--152. https://doi.org/10.1145/2124295.2124314

3. Smooth-AP: Smoothing the Path Towards Large-Scale Image Retrieval;Brown Andrew;ECCV,2020

4. Fatih Cakir Kun He Xide Xia Brian Kulis and Stan Sclaroff. 2019. Deep Metric Learning to Rank. In CVPR. 1861--1870. https://doi.org/10.1109/CVPR.2019.00196 10.1109/CVPR.2019.00196

5. Fatih Cakir Kun He Xide Xia Brian Kulis and Stan Sclaroff. 2019. Deep Metric Learning to Rank. In CVPR. 1861--1870. https://doi.org/10.1109/CVPR.2019.00196

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