The DOI matches its Crossref record.
Implicit feedback for inferring user preference: a bibliography
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
One-Class Collaborative Filtering
Pan, R., Zhou, Y., Cao, B., Liu, N. N., Lukose, R., Scholz, M., & Yang, Q. (2008) · 2008 Eighth IEEE International Conference on Data Mining · doi:10.1109/icdm.2008.16 · Cited by 1,015
Exploratory Search: Beyond the Query-Response Paradigm
White, R. W., & Roth, R. A. (2009) · Synthesis lectures on information concepts, retrieval, and services · doi:10.2200/s00174ed1v01y200901icr003 · Cited by 632
Evaluating implicit measures to improve web search
Fox, S., Karnawat, K., Mydland, M., Dumais, S., & White, T. (2005) · ACM Transactions on Information Systems · doi:10.1145/1059981.1059982 · Cited by 412
Modeling dwell time to predict click-level satisfaction
Kim, Y., Hassan, A., White, R. W., & Zitouni, I. (2014) · Proceedings of the 7th ACM international conference on Web search and data mining · doi:10.1145/2556195.2556220 · Cited by 164
Liao, Q. V., Mas-ud Hussain, M., Chandar, P., Davis, M., Khazaeni, Y., Crasso, M. P., Wang, D., Muller, M., Shami, N. S., & Geyer, W. (2018) · Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems · doi:10.1145/3173574.3173577 · Cited by 116
Metadata
- Authors
- Kelly, D., & Teevan, J.
- Venue
- ACM SIGIR Forum
- Published
- 2003-09
- Volume
- 37
- Issue
- 2
- Pages
- 18-28
- ISSN
- 0163-5840 (ISSN-L)
- OpenAlex
- W96864468
- Cited by
- 743
- References
- 0
- FWCI
- 65.22
- Type
- journal article
- Language
- en
- Open access
- closed
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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How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Implicit feedback for inferring user preference: a bibliography. https://app.cochat.ai/papers/10.1145/959258.959260
- The paper
- Kelly, D., & Teevan, J. (2003). Implicit feedback for inferring user preference: a bibliography. ACM SIGIR Forum. https://doi.org/10.1145/959258.959260
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
