Recommending What Video to Watch Next: A Multitask Ranking System

被引：208

作者：

Zhao, Zhe ^{[1
]}

Hong, Lichan ^{[1
]}

Wei, Li ^{[1
]}

Chen, Jilin ^{[1
]}

Nath, Aniruddh ^{[1
]}

Andrews, Shawn ^{[1
]}

Kumthekar, Aditee ^{[1
]}

Sathiamoorthy, Maheswaran ^{[1
]}

Yi, Xinyang ^{[1
]}

Chi, Ed ^{[1
]}

机构：

[1] Google Inc, Mountain View, CA 94043 USA

来源：

RECSYS 2019: 13TH ACM CONFERENCE ON RECOMMENDER SYSTEMS | 2019年

关键词：

Recommendation and Ranking; Multitask Learning; Selection Bias;

D O I：

10.1145/3298689.3346997

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this paper, we introduce a large scale multi-objective ranking system for recommending what video to watch next on an industrial video sharing platform. The system faces many real-world challenges, including the presence of multiple competing ranking objectives, as well as implicit selection biases in user feedback. To tackle these challenges, we explored a variety of soft-parameter sharing techniques such as Multi-gate Mixture-of-Experts so as to efficiently optimize for multiple ranking objectives. Additionally, we mitigated the selection biases by adopting a Wide & Deep framework. We demonstrated that our proposed techniques can lead to substantial improvements on recommendation quality on one of the world's largest video sharing platforms.

引用

页码：43 / 51

页数：9

共 45 条

[21]

He X., 2014, P 8 INT WORKSH DAT M, P1, DOI DOI 10.1145/2648584.2648589

[22] Adaptive Mixtures of Local Experts [J].

Jacobs, Robert A. ;

Jordan, Michael I. ;

Nowlan, Steven J. ;

Hinton, Geoffrey E. .

NEURAL COMPUTATION, 1991, 3 (01) :79-87

[23] Evaluating the accuracy of implicit feedback from clicks and query reformulations in Web search [J].

Joachims, Thorsten ;

Granka, Laura ;

Pan, Bing ;

Hembrooke, Helene ;

Radlinski, Filip ;

Gay, Geri .

ACM TRANSACTIONS ON INFORMATION SYSTEMS, 2007, 25 (02)

[24] Unbiased Learning-to-Rank with Biased Feedback [J].

Joachims, Thorsten ;

Swaminathan, Adith ;

Schnabel, Tobias .

WSDM'17: PROCEEDINGS OF THE TENTH ACM INTERNATIONAL CONFERENCE ON WEB SEARCH AND DATA MINING, 2017, :781-789

[25]

Krichene Walid, 2018, ARXIV180707187

[26]

Li JF, 2011, IEEE IMAGE PROC, P1525, DOI 10.1109/ICIP.2011.6115735

[27] Precise Agricultural Greenhouses Based on the IoT and Fuzzy Control [J].

Liu Dan ;

Sun Jianmei ;

Yu Yang ;

Xiang Jianqiu .

2016 INTERNATIONAL CONFERENCE ON INTELLIGENT TRANSPORTATION, BIG DATA & SMART CITY (ICITBS), 2017, :580-583

[28]

Long M., 2015, ARXIV150602117, V2

[29] Why I like it: Multi-task Learning for Recommendation and Explanation [J].

Lu, Yichao ;

Dong, Ruihai ;

Smyth, Barry .

12TH ACM CONFERENCE ON RECOMMENDER SYSTEMS (RECSYS), 2018, :4-12

[30] Modeling Task Relationships in Multi-task Learning with Multi-gate Mixture-of-Experts [J].

Ma, Jiaqi ;

Zhao, Zhe ;

Yi, Xinyang ;

Chen, Jilin ;

Hong, Lichan ;

Chi, Ed H. .

KDD'18: PROCEEDINGS OF THE 24TH ACM SIGKDD INTERNATIONAL CONFERENCE ON KNOWLEDGE DISCOVERY & DATA MINING, 2018, :1930-1939

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