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Personalizing Search via Automated Analysis of Interests and Activities

Published: 22 February 2018 Publication History

Abstract

We formulate and study search algorithms that consider a user's prior interactions with a wide variety of content to personalize that user's current Web search. Rather than relying on the unrealistic assumption that people will precisely specify their intent when searching, we pursue techniques that leverage implicit information about the user's interests. This information is used to re-rank Web search results within a relevance feedback framework. We explore rich models of user interests, built from both search-related information, such as previously issued queries and previously visited Web pages, and other information about the user such as documents and email the user has read and created. Our research suggests that rich representations of the user and the corpus are important for personalization, but that it is possible to approximate these representations and provide efficient client-side algorithms for personalizing search. We show that such personalization algorithms can significantly improve on current Web search.

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    Published In

    cover image ACM SIGIR Forum
    ACM SIGIR Forum  Volume 51, Issue 3
    December 2017
    157 pages
    ISSN:0163-5840
    DOI:10.1145/3190580
    Issue’s Table of Contents
    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.

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 22 February 2018
    Published in SIGIR Volume 51, Issue 3

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    Author Tags

    1. Personalized search
    2. Web search tools
    3. adaptive interfaces

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    • (2024)Economic keywords in political communications and financial marketsAnnals of Operations Research10.1007/s10479-024-05905-wOnline publication date: 12-Mar-2024
    • (2023)Private Web Search Using Proxy-Query Based Query Obfuscation SchemeIEEE Access10.1109/ACCESS.2023.323500011(3607-3625)Online publication date: 2023
    • (2022)Nonheritage Creative Product Design and Development and Marketing Strategies for Computer Vision and User ExperienceSecurity and Communication Networks10.1155/2022/96852802022(1-10)Online publication date: 27-Aug-2022
    • (2022)Data Exploration Using Example-Based MethodsundefinedOnline publication date: 25-Feb-2022
    • (2021)OB-WSPES: A Uniform Evaluation System for Obfuscation-Based Web Search PrivacyIEEE Transactions on Dependable and Secure Computing10.1109/TDSC.2019.296244018:6(2719-2735)Online publication date: 1-Nov-2021
    • (2021)Re-ranking Search results based on Relevancy weight: Approach and Evaluation2021 International Conference on Computational Performance Evaluation (ComPE)10.1109/ComPE53109.2021.9751847(027-033)Online publication date: 1-Dec-2021
    • (2018)Data Exploration Using Example-Based MethodsSynthesis Lectures on Data Management10.2200/S00881ED1V01Y201810DTM05310:4(1-164)Online publication date: 27-Nov-2018
    • (2018)CEPTMWireless Communications & Mobile Computing10.1155/2018/80561952018Online publication date: 12-Aug-2018

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