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09/12/2023
Distributionally-Informed Recommender System Evaluation
Current practice for evaluating recommender systems typically focuses on...
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08/28/2023
Fairness Through Domain Awareness: Mitigating Popularity Bias For Music Discovery
As online music platforms grow, music recommender systems play a vital r...
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08/05/2023
Group Membership Bias
When learning to rank from user interactions, search and recommendation ...
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07/05/2023
Scaling Laws Do Not Scale
Recent work has proposed a power law relationship, referred to as “scali...
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06/13/2023
Best-Case Retrieval Evaluation: Improving the Sensitivity of Reciprocal Rank with Lexicographic Precision
Across a variety of ranking tasks, researchers use reciprocal rank to me...
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02/22/2023
Recall as a Measure of Ranking Robustness
Researchers use recall to evaluate rankings across a variety of retrieva...
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02/22/2023
Commonality in Recommender Systems: Evaluating Recommender Systems to Enhance Cultural Citizenship
Recommender systems have become the dominant means of curating cultural ...
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12/29/2022
A Survey of Diversification Techniques in Search and Recommendation
Diversifying search results is an important research topic in retrieval ...
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12/13/2022
Redefining Relationships in Music
AI tools increasingly shape how we discover, make and experience music. ...
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11/11/2022
Striving for data-model efficiency: Identifying data externalities on group performance
Building trustworthy, effective, and responsible machine learning system...
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10/11/2022
Retrieval Augmentation for T5 Re-ranker using External Sources
Retrieval augmentation has shown promising improvements in different tas...
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09/08/2022
Analyzing the Effect of Sampling in GNNs on Individual Fairness
Graph neural network (GNN) based methods have saturated the field of rec...
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08/02/2022
Measuring Commonality in Recommendation of Cultural Content: Recommender Systems to Enhance Cultural Citizenship
Recommender systems have become the dominant means of curating cultural ...
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05/19/2022
On Natural Language User Profiles for Transparent and Scrutable Recommendation
Natural interaction with recommendation and personalized search systems ...
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05/02/2022
Retrieval-Enhanced Machine Learning
Although information access systems have long supported people in accomp...
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04/29/2022
Joint Multisided Exposure Fairness for Recommendation
Prior research on exposure fairness in the context of recommender system...
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04/25/2022
Offline Retrieval Evaluation Without Evaluation Metrics
Offline evaluation of information retrieval and recommendation has tradi...
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10/14/2021
Exposing Query Identification for Search Transparency
Search systems control the exposure of ranked content to searchers. In m...
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08/11/2021
Estimation of Fair Ranking Metrics with Incomplete Judgments
There is increasing attention to evaluating the fairness of search syste...
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08/11/2021
Overview of the TREC 2020 Fair Ranking Track
This paper provides an overview of the NIST TREC 2020 Fair Ranking track...
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07/16/2021
Learning to Limit Data Collection via Scaling Laws: Data Minimization Compliance in Practice
Data minimization is a legal obligation defined in the European Union's ...
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07/14/2021
The Benchmark Lottery
The world of empirical machine learning (ML) strongly relies on benchmar...
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05/12/2021
Fairness and Discrimination in Information Access Systems
Recommendation, information retrieval, and other information access syst...
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05/06/2021
Multi-FR: A Multi-Objective Optimization Method for Achieving Two-sided Fairness in E-commerce Recommendation
Two-sided marketplaces are an important component of many existing Inter...
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01/18/2021
Tip of the Tongue Known-Item Retrieval: A Case Study in Movie Identification
While current information retrieval systems are effective for known-item...
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07/09/2020
On the Social and Technical Challenges of Web Search Autosuggestion Moderation
Past research shows that users benefit from systems that support them in...
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05/30/2020
Analyzing and Learning from User Interactions for Search Clarification
Asking clarifying questions in response to search queries has been recog...
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05/28/2020
Operationalizing the Legal Principle of Data Minimization for Personalization
Article 5(1)(c) of the European Union's General Data Protection Regulati...
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04/27/2020
Evaluating Stochastic Rankings with Expected Exposure
We introduce the concept of expected exposure as the average attention r...
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03/25/2020
Overview of the TREC 2019 Fair Ranking Track
The goal of the TREC Fair Ranking track was to develop a benchmark for e...
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07/08/2019
Incorporating Query Term Independence Assumption for Efficient Retrieval and Ranking using Deep Neural Networks
Classical information retrieval (IR) methods, such as query likelihood a...
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11/05/2018
On the Evaluation of Common-Sense Reasoning in Natural Language Understanding
The NLP and ML communities have long been interested in developing model...
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10/18/2017
Promoting Saving for College Through Data Science
The cost of attending college has been steadily rising and in 10 years i...
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09/07/2016
The Social Dynamics of Language Change in Online Networks
Language change is a complex social phenomenon, revealing pathways of co...
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05/25/2016
Query Expansion with Locally-Trained Word Embeddings
Continuous space word embeddings have received a great deal of attention...
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05/12/2016
Real-Time Web Scale Event Summarization Using Sequential Decision Making
We present a system based on sequential decision making for the online s...
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04/14/2016
An Improved Discrete Bat Algorithm for Symmetric and Asymmetric Traveling Salesman Problems
Bat algorithm is a population metaheuristic proposed in 2010 which is ba...
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03/14/2016