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Modeling User Behavior for Vertical Search: Images, Apps and Products

Authors:

Maarten de RijkeAuthors Info & Claims

SIGIR '20: Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval

Pages 2440 - 2443

https://doi.org/10.1145/3397271.3401423

Published: 25 July 2020 Publication History

Abstract

Search applications such as image search, app search and product search are crucial parts of web search, which we denote as vertical search services. This tutorial will introduce the research and applications of user behavior modeling for vertical search. The bulk of the tutorial is devoted to covering research into behavior patterns, user behavior models and applications of user behavior data to refine evaluation metrics and ranking models for web-based vertical search.

Supplementary Material

MP4 File (3397271.3401423.mp4)

The Introduction video of SIGIR 2020 tutorial on 'Modeling User Behavior for Vertical Search: Images, Apps and Products'. The tutorial will be given by Xiaohui Xie, Jiaxin Mao, Yiqun Liu and Maarten de Rijke on July 26, 2020 online.

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123.86 MB

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Cited By

Wen HSong XChen XWei YNie LChua THui Yang GWang HHan SHauff CZuccon GZhang Y(2024)Simple but Effective Raw-Data Level Multimodal Fusion for Composed Image RetrievalProceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval10.1145/3626772.3657727(229-239)Online publication date: 10-Jul-2024
https://dl.acm.org/doi/10.1145/3626772.3657727
Liu JLiu J(2023)Formally Modeling Users in Information RetrievalA Behavioral Economics Approach to Interactive Information Retrieval10.1007/978-3-031-23229-9_2(23-64)Online publication date: 18-Feb-2023
https://doi.org/10.1007/978-3-031-23229-9_2
Xie Y(2021)Research on Vertical Search Method of Multidimensional Resources in English Discipline Based on Edge ComputingMobile Information Systems10.1155/2021/55181352021Online publication date: 1-Jan-2021
https://dl.acm.org/doi/10.1155/2021/5518135

Index Terms

Modeling User Behavior for Vertical Search: Images, Apps and Products
1. Information systems
  1. Information retrieval
    1. Evaluation of retrieval results

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Information & Contributors

Information

Published In

cover image ACM Conferences

SIGIR '20: Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval

July 2020

2548 pages

ISBN:9781450380164

DOI:10.1145/3397271

General Chairs:
Jimmy Huang
York University, Canada
,
Yi Chang
Jilin University, China
,
Xueqi Cheng
Chinese Academy of Sciences, China
,
Program Chairs:
Jaap Kamps
University of Amsterdam, Netherlands
,
Vanessa Murdock
Amazon, U.S.A.
,
Ji-Rong Wen
Renmin University of China, China
,
Yiqun Liu
Tsinghua University, China

Copyright © 2020 Owner/Author.

Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

Sponsors

SIGIR: ACM Special Interest Group on Information Retrieval

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 25 July 2020

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Tutorial

Funding Sources

Natural Science Foundation of China
Innovation Center for Artificial Intelligence
National Key Research and Development Program of China
Beijing Academy of Artificial Intelligence

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SIGIR '20

Sponsor:

SIGIR

SIGIR '20: The 43rd International ACM SIGIR conference on research and development in Information Retrieval

July 25 - 30, 2020

Virtual Event, China

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Overall Acceptance Rate 792 of 3,983 submissions, 20%

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Cited By

Wen HSong XChen XWei YNie LChua THui Yang GWang HHan SHauff CZuccon GZhang Y(2024)Simple but Effective Raw-Data Level Multimodal Fusion for Composed Image RetrievalProceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval10.1145/3626772.3657727(229-239)Online publication date: 10-Jul-2024
https://dl.acm.org/doi/10.1145/3626772.3657727
Liu JLiu J(2023)Formally Modeling Users in Information RetrievalA Behavioral Economics Approach to Interactive Information Retrieval10.1007/978-3-031-23229-9_2(23-64)Online publication date: 18-Feb-2023
https://doi.org/10.1007/978-3-031-23229-9_2
Xie Y(2021)Research on Vertical Search Method of Multidimensional Resources in English Discipline Based on Edge ComputingMobile Information Systems10.1155/2021/55181352021Online publication date: 1-Jan-2021
https://dl.acm.org/doi/10.1155/2021/5518135

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