Click Models for Web Search
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Extracting signal from noisy implicit evidence is the problem that click models and unbiased learning to rank were built for.
“Extracting signal from noisy implicit evidence is the problem that click models and unbiased learning to rank were built for [17, 31].”
From Agentic Memory Management Is the Next Frontier of Information Retrieval (2026) · cites this paper as [17]
Cited by
Sorted by citations
Equity of Attention: Amortizing Individual Fairness in Rankings
Biega, A. J., Gummadi, K. P., & Weikum, G. (2018) · The 41st International ACM SIGIR Conference on Research & Development in Information Retrieval · doi:10.1145/3209978.3210063 · Cited by 337 · see citing works
- Authors
- Chuklin, A., Markov, I., & de Rijke, M.
- Affiliations
- Google (Switzerland) (CH)
- University of Amsterdam (NL)
- Venue
- Synthesis Lectures on Information Concepts, Retrieval, and Services
- Publisher
- Springer International Publishing
- Published
- 2015
- Volume
- 7
- Issue
- 3
- Pages
- 1-115
- ISSN
- 1947-945X (ISSN-L)
- 1947-9468
- OpenAlex
- W2402441596
- Cited by
- 398
- References
- 0
- Citations by year
- 2026: 19 · 2025: 22 · 2024: 46 · 2023: 38 · 2022: 31 · 2021: 33 · 2020: 83 · 2019: 31 · 2018: 34 · 2017: 26 · 2016: 31 · 2015: 4
- FWCI
- 39.59
- Type
- book
- Language
- en
- Open access
- closed
- Licence
- Locations
- Synthesis lectures on information concepts, retrieval, and services (publishedVersion)
- UvA-DARE (University of Amsterdam) (publishedVersion)
- CERN Document Server (European Organization for Nuclear Research) (submittedVersion)
- Data Archiving and Networked Services (DANS) (submittedVersion)
- Topics
- Physical Sciences › Computer Science › Information Systems › Information Retrieval and Search Behavior
- Physical Sciences › Computer Science › Information Systems › Recommender Systems and Techniques
- Physical Sciences › Computer Science › Information Systems › Web Data Mining and Analysis
- Keywords
- click models, web search, user modeling, click-through data
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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