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Found 12 papers, 1 papers with code
Generative Information Retrieval Evaluation
We resolve this apparent circularity in two ways: 1) by viewing LLM-based assessment as a form of "slow search", where a slower IR system is used for evaluation and training of a faster production IR system; and 2) by recognizing a continuing need to ground evaluation in human assessment, even if the characteristics of that human assessment must change.
Online and Offline Evaluation in Search Clarification
The effectiveness of clarification question models in engaging users within search systems is currently constrained, casting doubt on their overall usefulness.
i-Align: an interpretable knowledge graph alignment model
One of the strategies to address this problem is KG alignment, i. e., forming a more complete KG by merging two or more KGs.
Designing and Evaluating Presentation Strategies for Fact-Checked Content
We address this research gap by exploring the critical design elements in fact-checking reports and investigating whether credibility and presentation-based design improvements can enhance users' ability to interpret the report accurately.
More Is Less: When Do Recommenders Underperform for Data-rich Users?
Users of recommender systems tend to differ in their level of interaction with these algorithms, which may affect the quality of recommendations they receive and lead to undesirable performance disparity.
MIMICS-Duo: Offline & Online Evaluation of Search Clarification
Asking clarification questions is an active area of research; however, resources for training and evaluating search clarification methods are not sufficient.
Joint Modelling of Cyber Activities and Physical Context to Improve Prediction of Visitor Behaviors
This paper investigates the Cyber-Physical behavior of users in a large indoor shopping mall by leveraging anonymized (opt in) Wi-Fi association and browsing logs recorded by the mall operators.
Conversational Search -- A Report from Dagstuhl Seminar 19461
Dagstuhl Seminar 19461 "Conversational Search" was held on 10-15 November 2019.
Common Conversational Community Prototype: Scholarly Conversational Assistant
This paper discusses the potential for creating academic resources (tools, data, and evaluation approaches) to support research in conversational search, by focusing on realistic information needs and conversational interactions.
Towards a Model for Spoken Conversational Search
Conversation is the natural mode for information exchange in daily life, a spoken conversational interaction for search input and output is a logical format for information seeking.
Informing the Design of Spoken Conversational Search
We compared the interactions to existing models of search behaviour.
Journalists' information needs, seeking behavior, and its determinants on social media
Based on interviews with eleven journalists along with a study of a set of university level journalism modules, we determined the categories of information need types that lead journalists to social media.
