Neural Click Models for Recommender Systems

被引：0

作者：

Shirokikh, Mikhail ^{[1
]}

Shenbin, Ilya ^{[2
]}

Alekseev, Anton ^{[1
,2
]}

Volodkevich, Anna ^{[3
]}

Vasilev, Alexey ^{[3
]}

Savchenko, Andrey V. ^{[3
,4
]}

Nikolenko, Sergey ^{[1
,4
]}

机构：

[1] St Petersburg Univ, St Petersburg, Russia

[2] RAS, PDMI, St Petersburg, Russia

[3] Sber AI Lab, Moscow, Russia

[4] RAS, ISP, Res Ctr Trusted Artificial Intelligence, Moscow, Russia

来源：

PROCEEDINGS OF THE 47TH INTERNATIONAL ACM SIGIR CONFERENCE ON RESEARCH AND DEVELOPMENT IN INFORMATION RETRIEVAL, SIGIR 2024 | 2024年

关键词：

user response function; recommender systems; adversarial learning; EMPIRICAL-ANALYSIS; ALGORITHMS;

D O I：

10.1145/3626772.3657939

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

We develop and evaluate neural architectures to model the user behavior in recommender systems (RS) inspired by click models for Web search but going beyond standard click models. Proposed architectures include recurrent networks, Transformer-based models that alleviate the quadratic complexity of self-attention, adversarial and hierarchical architectures. Our models outperform baselines on the ContentWise and RL4RS datasets and can be used in RS simulators to model user response for RS evaluation and pretraining.

引用

页码：2553 / 2558

页数：6

共 60 条

[1] Afsar Mohammad Mehdi, 2021, arXiv
[2] [Anonymous], 2009, P 2 ACM INT C WEB SE, DOI DOI 10.1145/1498759.1498818
[3] [Anonymous], 2009, P 18 INT C WORLD WID
[4] [Anonymous], 2017, P 15 INT C ADV MOB C, DOI DOI 10.1145/3151848.3151856
[5] RecGAN: Recurrent Generative Adversarial Networks for Recommendation Systems
Bharadhwaj, Homanga
Park, Homin
Lim, Brian Y.
[J]. 12TH ACM CONFERENCE ON RECOMMENDER SYSTEMS (RECSYS), 2018, : 372 - 376
[6] Bobadilla Jesus, 2023, arXiv
[7] A Click Sequence Model for Web Search
Borisov, Alexey
Wardenaar, Martijn
Markov, Ilya
de Rijke, Maarten
[J]. ACM/SIGIR PROCEEDINGS 2018, 2018, : 45 - 54
[8] A Neural Click Model for Web Search
Borisov, Alexey
Markov, Ilya
de Rijke, Maarten
Serdyukov, Pavel
[J]. PROCEEDINGS OF THE 25TH INTERNATIONAL CONFERENCE ON WORLD WIDE WEB (WWW'16), 2016, : 531 - 541
[9] Rating Augmentation with Generative Adversarial Networks towards Accurate Collaborative Filtering
Chae, Dong-Kyu
Kang, Jin-Soo
Kim, Sang-Wook
Choi, Jaeho
[J]. WEB CONFERENCE 2019: PROCEEDINGS OF THE WORLD WIDE WEB CONFERENCE (WWW 2019), 2019, : 2616 - 2622
[10] CFGAN: A Generic Collaborative Filtering Framework based on Generative Adversarial Networks
Chae, Dong-Kyu
Kang, Jin-Soo
Kim, Sang-Wook
Lee, Jung-Tae
[J]. CIKM'18: PROCEEDINGS OF THE 27TH ACM INTERNATIONAL CONFERENCE ON INFORMATION AND KNOWLEDGE MANAGEMENT, 2018, : 137 - 146

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