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Information Retrieval and Search Behavior
TopicLeading institutions, researchers & key papers
This cluster of papers focuses on information retrieval techniques, search engine optimization, user behavior analysis, learning to rank algorithms, query analysis, relevance feedback, clickthrough data interpretation, language models for information retrieval, and evaluation methods for web search. The papers cover a wide range of topics related to improving the effectiveness and efficiency of information retrieval systems.
19
Works
IDs:OpenAlex
How has Information Retrieval and Search Behavior's publication output changed over time?
ScholarIQpublication output · 2004–2025
Output grew0% over the shown period — from 1 works in 2004 to 1 in 2025.
1
3
2
2
1
20042005200720082025
What are the most-cited papers on Information Retrieval and Search Behavior?
ScholarIQmost cited works
Accurately interpreting clickthrough data as implicit feedback
Thorsten Joachims, Laura Granka, Bing Pan, Helene Hembrooke, Geri Gay
20051,406 Citations
In Google We Trust: Users’ Decisions on Rank, Position, and Relevance
Bing Pan, Helene Hembrooke, Thorsten Joachims, Lori Lorigo, Geri Gay, Laura Granka
S30594836. 2007719 CitationsOPEN ACCESS
Eye-tracking analysis of user behavior in WWW search
Laura Granka, Thorsten Joachims, Geri Gay
2004704 Citations
Evaluating the accuracy of implicit feedback from clicks and query reformulations in Web search
Thorsten Joachims, Laura Granka, Bing Pan, Helene Hembrooke, Filip Radlinski, Geri Gay
S4394735545. 2007680 Citations
Where is Information Retrieval and Search Behavior research published, and who funds it?
ScholarIQvenues & funding sources
TOP JOURNALS
S30594836719
S4394735545680
TOP FUNDERS
National Science Foundation—
NIH—
Wellcome Trust—
European Research Council—
Funder breakdown is a member featureSign up free to unlock
How much of the research on Information Retrieval and Search Behavior is open access?
ScholarIQopen access share
22%OPEN ACCESS
Gold
11%
Green
0%
Hybrid
0%
Bronze
11%
Closed
78%
Related on ScholarIQ
Empirical Studies Assessing the Quality of Health Information for Consumers on the World Wide Web
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Accurately interpreting clickthrough data as implicit feedback
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In Google We Trust: Users’ Decisions on Rank, Position, and Relevance
Paper
Eye-tracking analysis of user behavior in WWW search
Paper
Evaluating the accuracy of implicit feedback from clicks and query reformulations in Web search
Paper
An evidence-based practice guideline for the peer review of electronic search strategies
Paper