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SI Algo Bias & Fairness 2020 : Special Issue on Algorithmic Bias and Fairness in Search and Recommendation - Information Processing & Management

Submission Deadline: Nov 15, 2020
Notification of Acceptance: Jan 15, 2021
Camera Ready Version Due : Mar 15, 2021

About

Given the increasing adoption of systems empowered with search and recommendation capabilities, it is crucial to ensure that their decisions do not lead to biased or even discriminatory outcomes. Controlling the effects generated by popularity bias to improve the user's perceived quality of the results, supporting consumers and providers with fair rankings and recommendations, and providing transparent results are examples of challenges that require attention. This special issue intends to bring together original research methods and applications that put people first, inspect social and ethical impacts, and uplift the public’s trust on search and recommendation technologies. The goal is to favor a community-wide dialogue on new research perspectives in this field.

Call For Paper

We solicit different types of contributions (research papers, surveys, replicability and reproducibility studies, resource papers, systematic review articles) on algorithmic bias in search and recommendation, focused but not limited to the following areas. If in doubt about the suitability, please contact the Guest Editors.

  • Data Set Collection and Preparation:
    • Managing imbalances and inequalities within data sets
    • Devising collection pipelines that lead to fair and unbiased data sets
    • Collecting data sets useful for studying potential biased and unfair situations
    • Designing procedures for creating synthetic data sets for research on bias and fairness
  • Countermeasure Design and Development:
    • Conducting exploratory analysis that uncover biases
    • Designing treatments that mitigate biases (e.g., popularity bias mitigation)
    • Devising interpretable search and recommendation models
    • Providing treatment procedures whose outcomes are easily interpretable
    • Balancing inequalities among different groups of users or stakeholders
  • Evaluation Protocol and Metric Formulation:
    • Conducting quantitative experimental studies on bias and unfairness
    • Defining objective metrics that consider fairness and/or bias
    • Formulating bias-aware protocols to evaluate existing algorithms
    • Evaluating existing strategies in unexplored domains
    • Comparative studies of existing evaluation protocols and strategies
  • Case Study Exploration:
    • E-commerce platforms
    • Educational environments
    • Entertainment websites
    • Healthcare systems
    • Social media
    • News platforms
    • Digital libraries
    • Job portals
    • Dating platforms

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Check Other Conferences, Workshops, and Seminars

OTHER RECOMMENDER SYSTEMS EVENTS

IS-EUD 2021 : 8th International Symposium on End-User Development
Limassol, Cyprus
Jul 06, 2021
Bias 2021 : Second International Workshop on Algorithmic Bias in Search and Recommendation
Online
Mar 28, 2021
IRSMM 2020 : MDPI Information Special Issue

Reps4Tel 2020 : The First Workshop on Recommendation and Personalization Systems for Technology Enhanced Learning
Side, Turkey
Nov 02, 2020
DIM 2020 : The Ninth IEEE International Workshop on Data Integration and Mining
Taking place virtually
Oct 11, 2020

OTHER INFORMATION RETRIEVAL EVENTS

NLPA 2021 : 2nd International Conference on Natural Language Processing and Applications
Copenhagen, Denmark
Apr 24, 2021
SEAS 2021 : 10th International Conference on Software Engineering and Applications
Dubai, UAE
Feb 20, 2021
TempWeb 2021 : 11th Temporal Web Analytics Workshop
Ljubljana, Slovenia
Apr 19, 2021
NIAI 2021 : 2nd International Conference on Natural Language Processing, Information Retrieval and AI
Zurich, Switzerland
Jan 23, 2021
IMMM 2021 : The Eleventh International Conference on Advances in Information Mining and Management
Valencia, Spain
May 30, 2021

OTHER BIAS EVENTS

Bias 2021 : Second International Workshop on Algorithmic Bias in Search and Recommendation
Online
Mar 28, 2021
HWB 2019 : Handling Web Bias
Northeastern University, Boston, MA, USA
Jun 30, 2019
HumBL 2019 : Augmenting Intelligence with Bias-aware Humans­-in-­the-­Loop @ TheWebConf 2019
San Franciscon, California, US
May 13, 2019