research-article

Applying a post-processing strategy to consider the multiple interests of users of a Paper Recommender System

Authors:

Nathália Locatelli Cezar,

Caroline de Borba,

Isabela Gasparini,

Daniel LichtnowAuthors Info & Claims

SBSI '21: Proceedings of the XVII Brazilian Symposium on Information Systems

Article No.: 49, Pages 1 - 7

https://doi.org/10.1145/3466933.3466985

Published: 08 July 2021 Publication History

Abstract

Currently, the amount of information available to Web users is very large, and this situation is similar for scientific communities when searching for papers for their research. Recommender Systems (RSs) can help in this task because they combine computational techniques to select personalized items based on the users’ interests and according to the context in which users are inserted. The increase in the impact and scope of recommendations in the users’ lives, leads to the result on the ethical issues involved in the generation of recommendations and indicators for visualizing the results of the algorithms found. This paper presents a Recommender System for the Human-Computer Interaction (HCI) community, indicating papers from the Brazilian Symposium on Human Factors in Computing Systems related to the users’ profile applied to a post-processing strategy focused on fairness to balance the users’ interests. After the development of the RS and the Web environment, the results were obtained on the impact that the tool had on the community and demonstrated through the evaluation of the system.

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Cited By

Margaris DSpiliotopoulos DVassilakis C(2022)Anchoring Effect Mitigation for Complex Recommender System DesignHCI International 2022 - Late Breaking Papers. Design, User Experience and Interaction10.1007/978-3-031-17615-9_29(424-436)Online publication date: 26-Jun-2022
https://dl.acm.org/doi/10.1007/978-3-031-17615-9_29

Index Terms

Applying a post-processing strategy to consider the multiple interests of users of a Paper Recommender System
1. Human-centered computing
  1. Human computer interaction (HCI)
    1. HCI design and evaluation methods
2. Information systems
  1. Information retrieval
    1. Retrieval tasks and goals
      1. Document filtering
      2. Information extraction

Index terms have been assigned to the content through auto-classification.

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SBSI '21: Proceedings of the XVII Brazilian Symposium on Information Systems

June 2021

453 pages

ISBN:9781450384919

DOI:10.1145/3466933

Copyright © 2021 ACM.

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Published: 08 July 2021

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SBSI '21

SBSI '21: XVII Brazilian Symposium on Information Systems

June 7 - 10, 2021

Uberlândia, Brazil

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Overall Acceptance Rate 181 of 557 submissions, 32%

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Cited By

Margaris DSpiliotopoulos DVassilakis C(2022)Anchoring Effect Mitigation for Complex Recommender System DesignHCI International 2022 - Late Breaking Papers. Design, User Experience and Interaction10.1007/978-3-031-17615-9_29(424-436)Online publication date: 26-Jun-2022
https://dl.acm.org/doi/10.1007/978-3-031-17615-9_29

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