Self-supervised query reformulation for code search
Automatic query reformulation is a widely utilized technology for enriching user
requirements and enhancing the outcomes of code search. It can be conceptualized as a …
requirements and enhancing the outcomes of code search. It can be conceptualized as a …
Investigating the role of in-situ user expectations in Web search
Pre-adoption expectations often serve as an implicit reference point in users' evaluation of
information systems and are closely associated with their goals of interactions, behaviors …
information systems and are closely associated with their goals of interactions, behaviors …
Where Do Queries Come From?
Where do queries--the words searchers type into a search box--come from? The Information
Retrieval community understands the performance of queries and search engines …
Retrieval community understands the performance of queries and search engines …
A flexible framework for offline effectiveness metrics
The use of offline effectiveness metrics is one of the cornerstones of evaluation in
information retrieval. Static resources that include test collections and sets of topics, the …
information retrieval. Static resources that include test collections and sets of topics, the …
Toward Cranfield-inspired reusability assessment in interactive information retrieval evaluation
J Liu - Information Processing & Management, 2022 - Elsevier
Re-using research resources is essential for advancing knowledge and developing
repeatable, empirically solid experiments in scientific fields, including interactive information …
repeatable, empirically solid experiments in scientific fields, including interactive information …
Capability-aware prompt reformulation learning for text-to-image generation
Text-to-image generation systems have emerged as revolutionary tools in the realm of
artistic creation, offering unprecedented ease in transforming textual prompts into visual art …
artistic creation, offering unprecedented ease in transforming textual prompts into visual art …
A reference-dependent model for web search evaluation: Understanding and measuring the experience of boundedly rational users
Previous researches demonstrate that users' actions in search interaction are associated
with relative gains and losses to reference points, known as the reference dependence …
with relative gains and losses to reference points, known as the reference dependence …
The SimIIR 2.0 framework: user types, Markov model-based interaction simulation, and advanced query generation
S Zerhoudi, S Günther, K Plassmeier, T Borst… - Proceedings of the 31st …, 2022 - dl.acm.org
Simulated user retrieval system interactions enable studies with controlled user behavior. To
this end, the SimIIR framework offers static, rule-based methods. We present an extended …
this end, the SimIIR framework offers static, rule-based methods. We present an extended …
Dance: Learning a domain adaptive framework for deep hashing
This paper studies unsupervised domain adaptive hashing, which aims to transfer a hashing
model from a label-rich source domain to a label-scarce target domain. Current state-of-the …
model from a label-rich source domain to a label-scarce target domain. Current state-of-the …
Ai can be cognitively biased: An exploratory study on threshold priming in llm-based batch relevance assessment
Cognitive biases are systematic deviations in thinking that lead to irrational judgments and
problematic decision-making, extensively studied across various fields. Recently, large …
problematic decision-making, extensively studied across various fields. Recently, large …