The DOI matches its Crossref record; 46 of the 46 references it cites were found in a registry or an index.
Coverage-based search result diversification
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Citations
Cites
The Elements of Statistical Learning
Hastie, T., Tibshirani, R., & Friedman, J. (2009) · Springer Series in Statistics · doi:10.1007/978-0-387-84858-7 · Cited by 25,970
An analysis of approximations for maximizing submodular set functions—I
Nemhauser, G. L., Wolsey, L. A., & Fisher, M. L. (1978) · Mathematical Programming · doi:10.1007/bf01588971 · Cited by 4,412
Cost-effective outbreak detection in networks
Leskovec, J., Krause, A., Guestrin, C., Faloutsos, C., VanBriesen, J. M., & Glance, N. (2007) · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) · doi:10.1145/1281192.1281239 · Cited by 2,614
A Language Modeling Approach to Information Retrieval
Ponte, J. M., & Croft, W. B. (2017) · ACM SIGIR Forum · doi:10.1145/3130348.3130368 · Cited by 2,503
The use of MMR, diversity-based reranking for reordering documents and producing summaries
Carbonell, J., & Goldstein, J. (1998) · Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval · doi:10.1145/290941.291025 · Cited by 2,329
The Use of MMR, Diversity-Based Reranking for Reordering Documents and Producing Summaries
Carbonell, J., & Goldstein, J. (2017) · ACM SIGIR Forum · doi:10.1145/3130348.3130369 · Cited by 2,182
A language modeling approach to information retrieval
Ponte, J. M., & Croft, W. B. (1998) · Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval · doi:10.1145/290941.291008 · Cited by 1,821
A Study of Smoothing Methods for Language Models Applied to Ad Hoc Information Retrieval
Zhai, C., & Lafferty, J. (2017) · ACM SIGIR Forum · doi:10.1145/3130348.3130377 · Cited by 1,532
Agrawal, R., Gollapudi, S., Halverson, A., & Ieong, S. (2009) · Proceedings of the Second ACM International Conference on Web Search and Data Mining · doi:10.1145/1498759.1498766 · Cited by 1,020
The budgeted maximum coverage problem
Khuller, S., Moss, A., & Naor, J. S. (1999) · Information Processing Letters · doi:10.1016/s0020-0190(99)00031-9 · Cited by 1,009
Research works printed but not linked: 6
- Clarke, C. L. A., Craswell, N., & Soboroff, I. (2009). Overview of the trec 2009 web track. In Proceedings of TREC’09.
- Clarke, C. L. A., Craswell, N., Soboroff, I., & Cormack, G. V. (2010). Preliminary overview of the trec 2010 web track. In Proceedings of TREC’10.
- Craswell, N., Fetterly, D., Najork, M., Robertson, S., & Yilmaz, E. (2009). Microsoft research at trec 2009. In Proceedings of TREC’09.
- Macdonald, C., Wang, J., & Clarke, C. (2011). Ecir2011 ddr workshop proceedings. In Proceedings of DDR’11, 2011.
- Santos, R. L., & Ounis, I. (2011). Diversifying for multiple information needs. In Proceedings of DDR’11.
- Zheng, W., & Fang, H. (2011). A comparative study of search result diversification methods. In Proceedings of DDR’11.
Metadata
- Authors
- Zheng, W., Wang, X., Fang, H., & Cheng, H.
- Venue
- Information Retrieval
- Published
- 2011-11-17
- Volume
- 15
- Issue
- 5
- Pages
- 433-457
- ISSN
- 1386-4564
- 1573-7659
- Cited by
- 16
- References
- 46
- Language
- en
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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: Coverage-based search result diversification. https://app.cochat.ai/papers/10.1007/s10791-011-9178-4
- The paper
- Zheng, W., Wang, X., Fang, H., & Cheng, H. (2012). Coverage-based search result diversification. Information Retrieval. https://doi.org/10.1007/s10791-011-9178-4
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.