The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Stuff I've seen: a system for personal information retrieval and re-use
Abstract
Most information retrieval technologies are designed to facilitate information discovery. However, much knowledge work involves finding and re-using previously seen information. We describe the design and evaluation of a system, called Stuff I've Seen (SIS), that facilitates information re-use. This is accomplished in two ways. First, the system provides a unified index of information that a person has seen, whether it was seen as email, web page, document, appointment, etc. Second, because the information has been seen before, rich contextual cues can be used in the search interface. The system has been used internally by more than 230 employees. We report on both qualitative and quantitative aspects of system use. Initial findings show that time and people are important retrieval cues. Users find information more easily using SIS, and use other search tools less frequently after installation.
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
Cites
Characterizing browsing strategies in the World-Wide web
Catledge, L. D., & Pitkow, J. E. (1995) · Computer Networks and ISDN Systems · doi:10.1016/0169-7552(95)00043-7 · Cited by 937
How people revisit web pages: empirical findings and implications for the design of history systems
TAUSCHER, L., & GREENBERG, S. (1997) · International Journal of Human-Computer Studies · doi:10.1006/ijhc.1997.0125 · Cited by 562
The Computer User as Toolsmith: The Use, Reuse and Organization of Computer-Based Tools
Greenberg, S. (1993) · doi:10.1017/cbo9780511629402 · Cited by 21
Cited by
Personalizing search via automated analysis of interests and activities
Teevan, J., Dumais, S. T., & Horvitz, E. (2005) · Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval · doi:10.1145/1076034.1076111 · Cited by 800
Self-citationExploratory 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
Boardman, R., & Sasse, M. A. (2004) · Proceedings of the SIGCHI Conference on Human Factors in Computing Systems · doi:10.1145/985692.985766 · Cited by 414
Bridging the Gap between Social Animal and Unsocial Machine: A Survey of Social Signal Processing
Vinciarelli, A., Pantic, M., Heylen, D., Pelachaud, C., Poggi, I., D'Errico, F., & Schroeder, M. (2012) · IEEE Transactions on Affective Computing · doi:10.1109/t-affc.2011.27 · Cited by 381
Beyond total capture: a constructive critique of lifelogging
Sellen, A. J., & Whittaker, S. (2010) · Communications of the ACM · doi:10.1145/1735223.1735243 · Cited by 377
Metadata
- Authors
- Dumais, S., Cutrell, E., Cadiz, J., Jancke, G., Sarin, R., & Robbins, D. C.
- Venue
- Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval
- Publisher
- ACM
- Published
- 2003-07-28
- Pages
- 72-79
- OpenAlex
- W4250633719
- Cited by
- 381
- References
- 3
- FWCI
- 15.19
- Type
- conference paper
- 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 ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Stuff I've seen: a system for personal information retrieval and re-use. https://app.cochat.ai/papers/10.1145/860435.860451
- The paper
- Dumais, S., Cutrell, E., Cadiz, J., Jancke, G., Sarin, R., & Robbins, D. C. (2003). Stuff I've seen: a system for personal information retrieval and re-use. Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval. https://doi.org/10.1145/860435.860451
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.