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A Hybrid Book Recommender System Based on Table of Contents (ToC) and Association Rule Mining

Published: 09 May 2016 Publication History

Abstract

Recommender systems are used to access appropriate items and information by personalized suggestions based on user previous preferences and their likes & dislikes. These systems are used in different domains including products, videos, images, articles, news and books. Several recommender systems have been designed for recommending books. However, the available book recommenders face several issues in making relevant book recommendations because most of these do not take into account the book contents at deeper level and process only the mere descriptions about books on web pages along with metadata and other rating information. In order to cope with this issue, we present a hybrid book recommender that recommends books by using book table of contents (TOC) along with association rule mining and opinions of similar users.

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INFOS '16: Proceedings of the 10th International Conference on Informatics and Systems
May 2016
347 pages
ISBN:9781450340625
DOI:10.1145/2908446
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 the author(s) 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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Published: 09 May 2016

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Author Tags

  1. Book recommender system
  2. association rule mining
  3. collaborative filtering
  4. content-based filtering

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  • (2024)Manipulating Recommender Systems: A Survey of Poisoning Attacks and CountermeasuresACM Computing Surveys10.1145/367732857:1(1-39)Online publication date: 7-Oct-2024
  • (2024)Sentiment Analysis and Innovative Recommender System: Enhancing Goodreads Book Discovery Using Hybrid Collaborative and Content Based FilteringAdvances in Intelligent Computing Techniques and Applications10.1007/978-3-031-59707-7_9(97-111)Online publication date: 11-May-2024
  • (2023)Hybrid Personalized Book Recommender System Based on Big Data Framework2023 25th International Conference on Advanced Communication Technology (ICACT)10.23919/ICACT56868.2023.10079457(333-340)Online publication date: 19-Feb-2023
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  • (2022)A Book Recommendation System Considering Contents and Emotions of User Interests2022 12th International Congress on Advanced Applied Informatics (IIAI-AAI)10.1109/IIAIAAI55812.2022.00039(154-157)Online publication date: Jul-2022
  • (2022)Conceptual model of knowledge management system for scholarly publication cycle in academic institutionVINE Journal of Information and Knowledge Management Systems10.1108/VJIKMS-08-2021-016355:1(187-222)Online publication date: 8-Dec-2022
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  • (2021)Automatic recommendation system based on hybrid filtering algorithmEducation and Information Technologies10.1007/s10639-021-10643-827:2(1523-1538)Online publication date: 23-Jul-2021
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