The DOI matches its Crossref record; 36 of the 36 references it cites were found in a registry or an index.
Context relevance assessment and exploitation in mobile recommender systems
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Citations
Cites
Adomavicius, G., & Tuzhilin, A. (2005) · IEEE Transactions on Knowledge and Data Engineering · doi:10.1109/tkde.2005.99 · Cited by 10,310
Loss aversion in riskless choice: A reference-dependent model.
Tversky, A., & Kahneman, D. (1991) · The Quarterly Journal of Economics · doi:10.2307/2937956 · Cited by 6,432
Evaluating collaborative filtering recommender systems
Herlocker, J. L., Konstan, J. A., Terveen, L. G., & Riedl, J. T. (2004) · ACM Transactions on Information Systems · doi:10.1145/963770.963772 · Cited by 5,798
Factorization meets the neighborhood: a multifaceted collaborative filtering model
Koren, Y. (2008) · Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining · doi:10.1145/1401890.1401944 · Cited by 3,852
(2011) · Springer eBooks · doi:10.1007/978-0-387-85820-3 · Cited by 3,761
IBM computer usability satisfaction questionnaires: Psychometric evaluation and instructions for use
Lewis, J. R. (1995) · International Journal of Human-Computer Interaction · doi:10.1080/10447319509526110 · Cited by 2,429
Introduction to Recommender Systems Handbook
Ricci, F., Rokach, L., & Shapira, B. (2011) · Recommender Systems Handbook · doi:10.1007/978-0-387-85820-3_1 · Cited by 2,378
Self-citationAgents that reduce work and information overload
Maes, P. (1994) · Communications of the ACM · doi:10.1145/176789.176792 · Cited by 2,321
Explaining collaborative filtering recommendations
Herlocker, J. L., Konstan, J. A., & Riedl, J. (2000) · Proceedings of the 2000 ACM conference on Computer supported cooperative work · doi:10.1145/358916.358995 · Cited by 1,731
Cyberguide: A mobile context‐aware tour guide
Abowd, G. D., Atkeson, C. G., Hong, J., Long, S., Kooper, R., & Pinkerton, M. (1997) · Wireless Networks · doi:10.1023/a:1019194325861 · Cited by 1,365
Cited by
Progress in context-aware recommender systems — An overview
Raza, S., & Ding, C. (2019) · Computer Science Review · doi:10.1016/j.cosrev.2019.01.001 · Cited by 151
Not, E., & Petrelli, D. (2018) · International Journal of Human-Computer Studies · doi:10.1016/j.ijhcs.2018.01.001 · Cited by 66
Carrasco-Hernandez, L., Jódar-Sánchez, F., Núñez-Benjumea, F., Moreno Conde, J., Mesa González, M., Civit-Balcells, A., Hors-Fraile, S., Parra-Calderón, C. L., Bamidis, P. D., & Ortega-Ruiz, F. (2020) · JMIR mHealth and uHealth · doi:10.2196/17530 · Cited by 65
Metadata
- Authors
- Baltrunas, L., Ludwig, B., Peer, S., & Ricci, F.
- Venue
- Personal and Ubiquitous Computing
- Published
- 2011-06-21
- Volume
- 16
- Issue
- 5
- Pages
- 507-526
- ISSN
- 1617-4909 (ISSN-L)
- 1617-4917
- OpenAlex
- W2018741445
- Cited by
- 261
- References
- 36
- FWCI
- 84.16
- Type
- journal article
- Language
- en
- Open access
- closed
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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.
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- CoChat. (2026). Citation check: Context relevance assessment and exploitation in mobile recommender systems. https://app.cochat.ai/papers/10.1007/s00779-011-0417-x
- The paper
- Baltrunas, L., Ludwig, B., Peer, S., & Ricci, F. (2012). Context relevance assessment and exploitation in mobile recommender systems. Personal and Ubiquitous Computing. https://doi.org/10.1007/s00779-011-0417-x
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.
