Article

Studying the use of popular destinations to enhance web search interaction

Authors:

Mikhail Bilenko,

Silviu CucerzanAuthors Info & Claims

SIGIR '07: Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval

Pages 159 - 166

https://doi.org/10.1145/1277741.1277771

Published: 23 July 2007 Publication History

Abstract

We present a novel Web search interaction feature which, for a given query, provides links to websites frequently visited by other users with similar information needs. These popular destinations complement traditional search results, allowing direct navigation to authoritative resources for the query topic. Destinations are identified using the history of search and browsing behavior of many users over an extended time period, whose collective behavior provides a basis for computing source authority. We describe a user study which compared the suggestion of destinations with the previously proposed suggestion of related queries, as well as with traditional, unaided Web search. Results show that search enhanced by destination suggestions outperforms other systems for exploratory tasks, with best performance obtained from mining past user behavior at query-level granularity.

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Cited By

White R(2023)Tasks, Copilots, and the Future of Search: A Keynote at SIGIR 2023ACM SIGIR Forum10.1145/3642979.364298557:2(1-8)Online publication date: 1-Dec-2023
https://dl.acm.org/doi/10.1145/3642979.3642985
Piccardi TGerlach MArora AWest R(2023)A Large-Scale Characterization of How Readers Browse WikipediaACM Transactions on the Web10.1145/358031817:2(1-22)Online publication date: 3-Apr-2023
https://dl.acm.org/doi/10.1145/3580318
Deckers NFröbe MKiesel JPandolfo GSchröder CStein BPotthast M(2023)The Infinite Index: Information Retrieval on Generative Text-To-Image ModelsProceedings of the 2023 Conference on Human Information Interaction and Retrieval10.1145/3576840.3578327(172-186)Online publication date: 19-Mar-2023
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Index Terms

Studying the use of popular destinations to enhance web search interaction
1. Information systems
  1. Information retrieval
    1. Information retrieval query processing

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Published In

cover image ACM Conferences

SIGIR '07: Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval

July 2007

946 pages

ISBN:9781595935977

DOI:10.1145/1277741

General Chairs:
Wessel Kraaij
TNO, The Netherlands
,
Arjen P. de Vries
CWI, The Netherlands
,
Program Chairs:
Charles L. A. Clarke
University of Waterloo, Canada
,
Norbert Fuhr
University of Duisburg-Essen, Germany
,
Noriko Kando
National Institute of Informatics, Japan

Copyright © 2007 ACM.

Permission to make digital or hard copies of all or part 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 components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Publication History

Published: 23 July 2007

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SIGIR07: The 30th Annual International SIGIR Conference

July 23 - 27, 2007

Amsterdam, The Netherlands

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

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Cited By

White R(2023)Tasks, Copilots, and the Future of Search: A Keynote at SIGIR 2023ACM SIGIR Forum10.1145/3642979.364298557:2(1-8)Online publication date: 1-Dec-2023
https://dl.acm.org/doi/10.1145/3642979.3642985
Piccardi TGerlach MArora AWest R(2023)A Large-Scale Characterization of How Readers Browse WikipediaACM Transactions on the Web10.1145/358031817:2(1-22)Online publication date: 3-Apr-2023
https://dl.acm.org/doi/10.1145/3580318
Deckers NFröbe MKiesel JPandolfo GSchröder CStein BPotthast M(2023)The Infinite Index: Information Retrieval on Generative Text-To-Image ModelsProceedings of the 2023 Conference on Human Information Interaction and Retrieval10.1145/3576840.3578327(172-186)Online publication date: 19-Mar-2023
https://dl.acm.org/doi/10.1145/3576840.3578327
Gupta SOosterhuis Hde Rijke MChen HDuh WHuang HKato MMothe JPoblete B(2023)Safe Deployment for Counterfactual Learning to Rank with Exposure-Based Risk MinimizationProceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval10.1145/3539618.3591760(249-258)Online publication date: 19-Jul-2023
https://dl.acm.org/doi/10.1145/3539618.3591760
Zou JAliannejadi MKanoulas EPera MLiu Y(2023)Users Meet Clarifying Questions: Toward a Better Understanding of User Interactions for Search ClarificationACM Transactions on Information Systems10.1145/352411041:1(1-25)Online publication date: 9-Jan-2023
https://dl.acm.org/doi/10.1145/3524110
Zou JSun ALong CAliannejadi MKanoulas E(2023)Asking Clarifying Questions: To benefit or to disturb users in Web search?Information Processing & Management10.1016/j.ipm.2022.10317660:2(103176)Online publication date: Mar-2023
https://doi.org/10.1016/j.ipm.2022.103176
Wang AZhao YChen Y(2021)Information Search Trail Recommendation Based on Markov Chain Model and Case-based ReasoningData and Information Management10.2478/dim-2020-00475:1(228-241)Online publication date: Jan-2021
https://doi.org/10.2478/dim-2020-0047
Shah CWhite R(2021)Task Intelligence for Search and RecommendationSynthesis Lectures on Information Concepts, Retrieval, and Services10.2200/S01103ED1V01Y202105ICR07413:3(1-160)Online publication date: 9-Jun-2021
https://doi.org/10.2200/S01103ED1V01Y202105ICR074
Oosterhuis Hde Rijke M(2021)Robust Generalization and Safe Query-Specializationin Counterfactual Learning to RankProceedings of the Web Conference 202110.1145/3442381.3450018(158-170)Online publication date: 19-Apr-2021
https://dl.acm.org/doi/10.1145/3442381.3450018
White RNouri EWoffinden-Luey JEncarnacióN MJauhar S(2021)Microtask DetectionACM Transactions on Information Systems10.1145/343229039:2(1-29)Online publication date: 8-Jan-2021
https://dl.acm.org/doi/10.1145/3432290
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