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An improved modeling method for profile-based personalized search

Published: 18 May 2020 Publication History

Abstract

A Personalized search system aims to provide tailor-made results for each user's query according to his preferences. Building such a system depends mainly on creating profiles that represent real user interests. In this paper, we present a method for modeling users and creating accurate profiles by implicitly tracking and collecting user-browsing data. Furthermore, we examine techniques to enhance profile accuracy through combining multiple browsing data sources, distinguishing important concepts from irrelevant ones in a user profile, and the concept levels required from a reference ontology to describe user's interests.

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Cited By

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  • (2023)Sentiment Analysis for Personalized Chatbots in E-Commerce ApplicationsWireless Personal Communications: An International Journal10.1007/s11277-023-10199-5129:3(1623-1644)Online publication date: 19-Feb-2023
  • (2022)An Approach for Building Content Recommendation System for BilingualsProceedings of Second International Conference on Sustainable Expert Systems10.1007/978-981-16-7657-4_52(643-656)Online publication date: 26-Feb-2022
  • (2021)A study of task scheduling algorithms in cloud computingProceedings of the 4th International Conference on Networking, Information Systems & Security10.1145/3454127.3457616(1-5)Online publication date: 1-Apr-2021
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NISS '20: Proceedings of the 3rd International Conference on Networking, Information Systems & Security
March 2020
528 pages
ISBN:9781450376341
DOI:10.1145/3386723
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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Association for Computing Machinery

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Publication History

Published: 18 May 2020

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Author Tags

  1. Accuracy
  2. Ontology
  3. Personalized Search
  4. User profile

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Cited By

View all
  • (2023)Sentiment Analysis for Personalized Chatbots in E-Commerce ApplicationsWireless Personal Communications: An International Journal10.1007/s11277-023-10199-5129:3(1623-1644)Online publication date: 19-Feb-2023
  • (2022)An Approach for Building Content Recommendation System for BilingualsProceedings of Second International Conference on Sustainable Expert Systems10.1007/978-981-16-7657-4_52(643-656)Online publication date: 26-Feb-2022
  • (2021)A study of task scheduling algorithms in cloud computingProceedings of the 4th International Conference on Networking, Information Systems & Security10.1145/3454127.3457616(1-5)Online publication date: 1-Apr-2021
  • (2021)Personalized question-answering over linked dataProceedings of the 4th International Conference on Networking, Information Systems & Security10.1145/3454127.3456585(1-7)Online publication date: 1-Apr-2021
  • (2021)PAPIR: privacy-aware personalized information retrievalJournal of Ambient Intelligence and Humanized Computing10.1007/s12652-020-02736-y12:10(9891-9907)Online publication date: 28-Jan-2021
  • (2021)Privacy Threat Modeling in Personalized Search SystemsNetworking, Intelligent Systems and Security10.1007/978-981-16-3637-0_22(311-325)Online publication date: 2-Oct-2021

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