{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,4]],"date-time":"2026-04-04T06:05:47Z","timestamp":1775282747105,"version":"3.50.1"},"reference-count":26,"publisher":"Springer Science and Business Media LLC","issue":"6","license":[{"start":{"date-parts":[[2011,5,20]],"date-time":"2011-05-20T00:00:00Z","timestamp":1305849600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2011,5,20]],"date-time":"2011-05-20T00:00:00Z","timestamp":1305849600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Inf Retrieval"],"published-print":{"date-parts":[[2011,12]]},"DOI":"10.1007\/s10791-011-9167-7","type":"journal-article","created":{"date-parts":[[2011,5,19]],"date-time":"2011-05-19T12:05:51Z","timestamp":1305806751000},"page":"572-592","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":73,"title":["Intent-based diversification of web search results: metrics and algorithms"],"prefix":"10.1007","volume":"14","author":[{"given":"Olivier","family":"Chapelle","sequence":"first","affiliation":[]},{"given":"Shihao","family":"Ji","sequence":"additional","affiliation":[]},{"given":"Ciya","family":"Liao","sequence":"additional","affiliation":[]},{"given":"Emre","family":"Velipasaoglu","sequence":"additional","affiliation":[]},{"given":"Larry","family":"Lai","sequence":"additional","affiliation":[]},{"given":"Su-Lin","family":"Wu","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2011,5,20]]},"reference":[{"key":"9167_CR1","doi-asserted-by":"crossref","unstructured":"Agrawal, R., Gollapudi, S., Halverson, A., & Ieong, S. (2009). Diversifying search results. In WSDM \u201909: Proceedings of the 2nd international conference on web search and web data mining (pp. 5\u201314). ACM.","DOI":"10.1145\/1498759.1498766"},{"key":"9167_CR2","volume-title":"Statistical inference under order restrictions: The theory and application of isotonic regression","author":"R.E. Barlow","year":"1972","unstructured":"Barlow, R. E., Brunk, H. D., Bartholomew, D. J., & Bremner, J. M. (1972). Statistical inference under order restrictions: The theory and application of isotonic regression. New York: Wiley."},{"key":"9167_CR3","doi-asserted-by":"crossref","unstructured":"Burges, C. J., Shaked, T., Renshaw, E., Lazier, A., Deeds, M., Hamilton, N., et al. (2005). Learning to rank using gradient descent. In Proceedings of the international conference on machine learning.","DOI":"10.1145\/1102351.1102363"},{"key":"9167_CR4","doi-asserted-by":"crossref","unstructured":"Carbonell, J., & Goldstein, J. (1998). The use of MMR, diversity-based reranking for reordering documents and producing summaries. In Proceedings of the 21st annual international ACM SIGIR conference on research and development in information retrieval (pp. 335\u2013336).","DOI":"10.1145\/290941.291025"},{"key":"9167_CR5","doi-asserted-by":"crossref","unstructured":"Carterette, B., & Chandar, P. (2009). Probabilistic models of ranking novel documents for faceted topic retrieval. In CIKM \u201909: Proceeding of the 18th ACM conference on information and knowledge management.","DOI":"10.1145\/1645953.1646116"},{"key":"9167_CR6","doi-asserted-by":"crossref","unstructured":"Chapelle, O., Metlzer, D., Zhang, Y., & Grinspan, P. (2009). Expected reciprocal rank for graded relevance. In CIKM \u201909: Proceedings of the 18th ACM conference on information and knowledge management.","DOI":"10.1145\/1645953.1646033"},{"key":"9167_CR7","doi-asserted-by":"crossref","unstructured":"Chen, H., & Karger, D. R. (2006) Less is more: Probabilistic models for retrieving fewer relevant documents. In Proceedings of the 29th annual international ACM SIGIR conference on research and development in information retrieval (pp. 429\u2013436).","DOI":"10.1145\/1148170.1148245"},{"key":"9167_CR8","doi-asserted-by":"crossref","unstructured":"Clarke, C., Kolla, M., Cormack, G., Vechtomova, O., Ashkan, A., & B\u00fcttcher, S., et al. (2008). Novelty and diversity in information retrieval evaluation. In SIGIR \u201908: Proceedings of the 31st annual international conference on research and development in information retrieval (pp. 659\u2013666). ACM.","DOI":"10.1145\/1390334.1390446"},{"key":"9167_CR9","doi-asserted-by":"crossref","unstructured":"Clarke, C. L., Kolla, M., & Vechtomova, O. (2009). An effectiveness measure for ambiguous and underspecified queries. In Proceedings of the 2nd international conference on theory of information retrieval: advances in information retrieval theory (pp. 188\u2013199).","DOI":"10.1007\/978-3-642-04417-5_17"},{"key":"9167_CR10","unstructured":"Claypool, M., Le, P., Waseda, M., & Brown, D. (2001). Information filtering based on user behavior analysis and best match text retrieval. In Proceedings of ACM intelligent user interfaces conference (IUI) (pp. 33\u201340)."},{"key":"9167_CR11","doi-asserted-by":"crossref","unstructured":"Craswell, N., Zoeter, O., Taylor, M., & Ramsey, B. (2008). An experimental comparison of click position-bias models. In WSDM \u201908: proceedings of the international conference on web search and web data mining (pp. 87\u201394). ACM.","DOI":"10.1145\/1341531.1341545"},{"issue":"5","key":"9167_CR12","doi-asserted-by":"crossref","first-page":"1189","DOI":"10.1214\/aos\/1013203451","volume":"29","author":"J. H. Friedman","year":"2001","unstructured":"Friedman, J. H. (2001). Greedy function approximation: A gradient boosting machine. Annals of Statistics, 29(5), 1189\u20131232.","journal-title":"Annals of Statistics"},{"key":"9167_CR13","doi-asserted-by":"crossref","unstructured":"Gollapudi, S., & Sharma, A. (2009). An axiomatic approach for result diversification. In Proceedings of the 18th international conference on World Wide Web (pp. 381\u2013390).","DOI":"10.1145\/1526709.1526761"},{"issue":"4","key":"9167_CR14","doi-asserted-by":"publisher","first-page":"422","DOI":"10.1145\/582415.582418","volume":"20","author":"K. Jarvelin","year":"2002","unstructured":"Jarvelin, K., & Kekalainen, J. (2002). Cumulated gain-based evaluation of IR techniques. ACM Transactions on Information Systems, 20(4), 422\u2013446.","journal-title":"ACM Transactions on Information Systems"},{"key":"9167_CR15","unstructured":"Liu, C., White, R. W., & Dumais, S. (2006). Understanding web browsing behaviors through weibull analysis of dwell time. In Proceedings of the 33rd annual international ACM SIGIR conference on research and development in information retrieval."},{"key":"9167_CR16","volume-title":"Combinatorial optimization: Algorithms and complexity","author":"C.H. Papadimitriou","year":"1998","unstructured":"Papadimitriou, C. H., & Steiglitz, K. (1998). Combinatorial optimization: Algorithms and complexity. Mineola, NY: Dover."},{"key":"9167_CR17","doi-asserted-by":"crossref","unstructured":"Paranjpe, D. (2009). Learning document aboutness from implicit user feedback and document structure. In CIKM \u201909: Proceeding of the 18th ACM conference on information and knowledge management (pp. 365\u2013374). ACM.","DOI":"10.1145\/1645953.1646002"},{"key":"9167_CR18","doi-asserted-by":"crossref","unstructured":"Radlinski, F., Kleinberg, R., & Joachims, T. (2008). Learning diverse rankings with multi-armed bandits. In Proceedings of the 25th international conference on machine learning (pp. 784\u2013791).","DOI":"10.1145\/1390156.1390255"},{"key":"9167_CR19","doi-asserted-by":"crossref","unstructured":"Rafiei, D., Bharat, K., & Shukla, A. (2010). Diversifying web search results. In Proceedings of the 19th international conference on World Wide Web (pp. 781\u2013790).","DOI":"10.1145\/1772690.1772770"},{"key":"9167_CR20","doi-asserted-by":"crossref","unstructured":"Santos, R. L. T., Macdonald, C., & Ounis, I. (2010a). Exploiting query reformulations for Web search result diversification. In Proceedings of the 19th international conference on World Wide Web (pp. 881\u2013890).","DOI":"10.1145\/1772690.1772780"},{"key":"9167_CR21","doi-asserted-by":"crossref","unstructured":"Santos, R. L. T., Peng, J., Macdonald, C., & Ounis, I. (2010b). Explicit search result diversification through sub-queries. In Proceedings of the 31st European conference on information retrieval (pp. 87\u201399).","DOI":"10.1007\/978-3-642-12275-0_11"},{"key":"9167_CR22","doi-asserted-by":"crossref","unstructured":"Sarma, A. D., Gollapudi, S., & Leong, S. (2008). Bypass rates: Reducing query abandonment using negative inferences. In Proceeding of the 14th ACM SIGKDD international conference on knowledge discovery and data mining (KDD) (pp. 177\u2013185).","DOI":"10.1145\/1401890.1401916"},{"key":"9167_CR23","volume-title":"The logic of logistics: Theory, algorithms, and applications for logistics and supply chain management","author":"D. Simchi-Levi","year":"2005","unstructured":"Simchi-Levi, D., Chen, X., &  Bramel, J. (2005). The logic of logistics: theory, algorithms, and applications for logistics and supply chain management. Berlin: Springer."},{"key":"9167_CR24","doi-asserted-by":"crossref","unstructured":"Wang, J., & Zhu, J. (2009). Portfolio theory of information retrieval. In Proceedings of the 32th annual international ACM SIGIR conference on research and development in informaion retrieval (pp. 115\u2013122).","DOI":"10.1145\/1571941.1571963"},{"key":"9167_CR25","doi-asserted-by":"crossref","unstructured":"Zhai, C. X., Cohen, W. W., & Lafferty, J. (2003). Beyond independent relevance: Methods and evaluation metrics for subtopic retrieval. In Proceedings of the 26th snnual international ACM SIGIR conference on research and development in informaion retrieval (pp. 10\u201317).","DOI":"10.1145\/860435.860440"},{"key":"9167_CR26","unstructured":"Zheng, Z., Zha, H., Zhang, T., Chapelle, O., Chen, K., & Sun, G. (2008). A general boosting method and its application to learning ranking functions for web search. In J. C. Platt, D. Koller, Y. Singer, & S. Roweis (Eds.), Advances in Neural Information Processing Systems, 20, 1697\u20131704."}],"container-title":["Information Retrieval"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10791-011-9167-7.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s10791-011-9167-7\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10791-011-9167-7","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10791-011-9167-7.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,2]],"date-time":"2024-01-02T15:01:08Z","timestamp":1704207668000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s10791-011-9167-7"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2011,5,20]]},"references-count":26,"journal-issue":{"issue":"6","published-print":{"date-parts":[[2011,12]]}},"alternative-id":["9167"],"URL":"https:\/\/doi.org\/10.1007\/s10791-011-9167-7","relation":{},"ISSN":["1386-4564","1573-7659"],"issn-type":[{"value":"1386-4564","type":"print"},{"value":"1573-7659","type":"electronic"}],"subject":[],"published":{"date-parts":[[2011,5,20]]},"assertion":[{"value":"18 October 2010","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"28 April 2011","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"20 May 2011","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"This content has been made available to all.","name":"free","label":"Free to read"}]}}