{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,8]],"date-time":"2025-10-08T15:31:45Z","timestamp":1759937505578,"version":"3.40.4"},"publisher-location":"Berlin, Heidelberg","reference-count":43,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783642370144"},{"type":"electronic","value":"9783642370151"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2013]]},"DOI":"10.1007\/978-3-642-37015-1_13","type":"book-chapter","created":{"date-parts":[[2013,3,5]],"date-time":"2013-03-05T04:34:18Z","timestamp":1362458058000},"page":"150-164","source":"Crossref","is-referenced-by-count":3,"title":["A Survey of Learning to Rank for Real-Time Twitter Search"],"prefix":"10.1007","author":[{"given":"Fuxing","family":"Cheng","sequence":"first","affiliation":[]},{"given":"Xin","family":"Zhang","sequence":"additional","affiliation":[]},{"given":"Ben","family":"He","sequence":"additional","affiliation":[]},{"given":"Tiejian","family":"Luo","sequence":"additional","affiliation":[]},{"given":"Wenjie","family":"Wang","sequence":"additional","affiliation":[]}],"member":"297","reference":[{"key":"13_CR1","doi-asserted-by":"crossref","unstructured":"Ounis, I., Amati, G., Plachouras, V., He, B., Macdonald, C.: Terrier: A high performance and scalable information retrieval platform. In: SIGIR OSIR (2006)","DOI":"10.1007\/978-3-540-31865-1_37"},{"key":"13_CR2","unstructured":"Amati, G.: Probabilistic models for information retrieval based on divergence from randomness. PhD thesis, DCS, University of Glasgow (2003)"},{"key":"13_CR3","doi-asserted-by":"crossref","unstructured":"Amati, G., Amodeo, G., Bianchi, M., Celi, A., Nicola, C.D., Flammini, M., Gaibisso, C., Gambosi, G., Marcone, G.: Fub, iasi-cnr, UNIVAQ at TREC 2011. In: TREC (2011)","DOI":"10.6028\/NIST.SP.500-296.microblog-FUB"},{"key":"13_CR4","doi-asserted-by":"crossref","unstructured":"Blum, A., Mitchell, T.M.: Combining labeled and unlabeled data with co-training. In: COLT, pp. 92\u2013100 (1998)","DOI":"10.1145\/279943.279962"},{"key":"13_CR5","doi-asserted-by":"crossref","unstructured":"Cha, M., Haddadi, H., Benevenuto, F., Gummadi, K.P.: Measuring user influence in twitter: The million follower fallacy. In: ICWSM (2010)","DOI":"10.1609\/icwsm.v4i1.14033"},{"key":"13_CR6","unstructured":"Chapelle, O., Yang, Y.: Yahoo! Learning to Rank Challenge Overview. In: JMLR (2011)"},{"key":"13_CR7","doi-asserted-by":"crossref","unstructured":"Dong, A., Chang, Y., Zheng, Z., Mishne, G., Bai, J., Zhang, R., Buchner, K., Liao, C., Diaz, F.: Towards recency ranking in web search. In: WSDM, pp. 11\u201320 (2010)","DOI":"10.1145\/1718487.1718490"},{"key":"13_CR8","first-page":"295","volume-title":"COLING","author":"Y. Duan","year":"2010","unstructured":"Duan, Y., Jiang, L., Qin, T., Zhou, M., Shum, H.-Y.: An empirical study on learning to rank of tweets. In: COLING, pp. 295\u2013303. Tsinghua University, Beijing (2010)"},{"key":"13_CR9","doi-asserted-by":"crossref","unstructured":"Duh, K., Kirchhoff, K.: Learning to rank with partially-labeled data. In: SIGIR, pp. 251\u2013258 (2008)","DOI":"10.1145\/1390334.1390379"},{"key":"13_CR10","doi-asserted-by":"crossref","unstructured":"Efron, M., Golovchinksy, G.: Estimation methods for ranking recent information. In: SIGIR, pp. 495\u2013504 (2011)","DOI":"10.1145\/2009916.2009984"},{"key":"13_CR11","series-title":"Lecture Notes in Artificial Intelligence","doi-asserted-by":"publisher","first-page":"35","DOI":"10.1007\/11776420_6","volume-title":"Learning Theory","author":"R. El-Yaniv","year":"2006","unstructured":"El-Yaniv, R., Pechyony, D.: Stable Transductive Learning. In: Lugosi, G., Simon, H.U. (eds.) COLT 2006. LNCS (LNAI), vol.\u00a04005, pp. 35\u201349. Springer, Heidelberg (2006)"},{"key":"13_CR12","unstructured":"Esuli, A., Sebastiani, F.: Sentiwordnet: A publicly available lexical resource for opinion mining. In: LREC, pp. 417\u2013422 (2006)"},{"key":"13_CR13","doi-asserted-by":"crossref","unstructured":"Ganjisaffar, Y., Caruana, R., Lope, C.: Bagging gradient-boosted trees for high precision, low variance ranking models. In: SIGIR, pp. 85\u201394 (2011)","DOI":"10.1145\/2009916.2009932"},{"key":"13_CR14","doi-asserted-by":"crossref","unstructured":"Geng, X., Liu, T.-Y., Qin, T., Arnold, A., Li, H., Shum, H.-Y.: Query dependent ranking using k-nearest neighbor. In: SIGIR, pp. 115\u2013122 (2008)","DOI":"10.1145\/1390334.1390356"},{"key":"13_CR15","doi-asserted-by":"crossref","unstructured":"Hong, D., Wang, Q., Zhang, D., Si, L.: Query expansion and message-passing algorithms for TREC microblog track. In: TREC (2011)","DOI":"10.6028\/NIST.SP.500-296.microblog-Purdue_IR"},{"key":"13_CR16","doi-asserted-by":"crossref","unstructured":"Huang, X., Huang, Y., Wen, M., An, A., Liu, Y., Poon, J.: Applying data mining to pseudo-relevance feedback for high performance text retrieval. In: ICDM, pp. 295\u2013306 (2006)","DOI":"10.1109\/ICDM.2006.22"},{"key":"13_CR17","doi-asserted-by":"crossref","unstructured":"Joachims, T.: Optimizing search engines using clickthrough data. In: KDD, pp. 133\u2013142 (2002)","DOI":"10.1145\/775047.775067"},{"key":"13_CR18","doi-asserted-by":"crossref","unstructured":"Kirkpatrick, S., Gelatt, C., Vecchi, M.: Optimization by simulated annealing. Science\u00a0220(4598) (1983)","DOI":"10.1126\/science.220.4598.671"},{"key":"13_CR19","doi-asserted-by":"crossref","unstructured":"Kwak, H., Lee, C., Park, H., Moon, S.: What is Twitter, a social network or a news media? In: WWW, pp. 591\u2013600 (2010)","DOI":"10.1145\/1772690.1772751"},{"key":"13_CR20","doi-asserted-by":"crossref","unstructured":"Lavrenko, V., Croft, W.B.: Relevance-based language models. In: SIGIR, pp. 120\u2013127 (2001)","DOI":"10.1145\/383952.383972"},{"key":"13_CR21","doi-asserted-by":"crossref","unstructured":"Li, X., Croft, W.B.: Time-based language models. In: CIKM, pp. 469\u2013475 (2003)","DOI":"10.1145\/956950.956951"},{"key":"13_CR22","doi-asserted-by":"crossref","unstructured":"Li, Y., Zhang, Z., Lv, W., Xie, Q., Lin, Y., Xu, R., Xu, W., Chen, G., Guo, J.: PRIS at TREC 2011 microblog track. In: TREC (2011)","DOI":"10.6028\/NIST.SP.500-296.microblog-PRIS"},{"key":"13_CR23","doi-asserted-by":"crossref","unstructured":"Liu, T.: Learning to rank for information retrieval. Foundations and Trends in Information Retrieval\u00a0(3), 225\u2013331 (2009)","DOI":"10.1561\/1500000016"},{"key":"13_CR24","doi-asserted-by":"crossref","unstructured":"Louvan, S., Ibrahim, M., Adriani, M., Vania, C., Distiawan, B., Wanagiri, M.Z.: University of Indonesia at TREC 2011 microblog track. In: TREC (2011)","DOI":"10.6028\/NIST.SP.500-296.microblog-FASILKOMUI"},{"key":"13_CR25","doi-asserted-by":"crossref","unstructured":"Metzler, D., Cai, C.: Usc\/isi at TREC 2011: Microblog track. In: TREC (2011)","DOI":"10.6028\/NIST.SP.500-296.microblog-isi"},{"key":"13_CR26","doi-asserted-by":"crossref","unstructured":"Miyanishi, T., Okamura, N., Liu, X., Seki, K., Uehara, K.: TREC 2011 microblog track experiments at KOBE university. In: TREC, Gaithersburg, MD (2011)","DOI":"10.6028\/NIST.SP.500-296.microblog-KobeU"},{"key":"13_CR27","doi-asserted-by":"crossref","unstructured":"Ounis, I., Macdonald, C., Lin, J., Soboroff, I.: Overview of the TREC 2011 microblog track. In: TREC, Gaithersburg, MD (2011)","DOI":"10.6028\/NIST.SP.500-296.microblog-overview"},{"key":"13_CR28","unstructured":"Ounis, I., Macdonald, C., Soboroff, I.: On the TREC blog track. In: ICWSM, Seattle, WA (2008)"},{"key":"13_CR29","doi-asserted-by":"crossref","unstructured":"Robertson, S.E., Walker, S., Hancock-Beaulieu, M., Gatford, M., Payne, A.: Okapi at TREC-4. In: TREC (1995)","DOI":"10.6028\/NIST.SP.500-236.routing-city"},{"key":"13_CR30","first-page":"313","volume-title":"Relevance feedback in information retrieval","author":"J. Rocchio","year":"1971","unstructured":"Rocchio, J.: Relevance feedback in information retrieval, pp. 313\u2013323. Prentice-Hall, Englewood Cliffs (1971)"},{"key":"13_CR31","doi-asserted-by":"crossref","unstructured":"Sellamanickam, S., Garg, P., Selvaraj, S.K.: A pairwise ranking based approach to learning with positive and unlabeled examples. In: CIKM, pp. 663\u2013672 (2011)","DOI":"10.1145\/2063576.2063675"},{"key":"13_CR32","volume-title":"Statistical learning theory","author":"V.N. Vapnik","year":"1998","unstructured":"Vapnik, V.N.: Statistical learning theory. Wiley, New York (1998)"},{"key":"13_CR33","doi-asserted-by":"crossref","unstructured":"Veloso, A.A., Almeida, H.M., Gon\u00e7alves, M.A., Meira Jr., W.: Learning to rank at query-time using association rules. In: SIGIR, pp. 267\u2013274 (2008)","DOI":"10.1145\/1390334.1390381"},{"key":"13_CR34","volume-title":"Data Mining: Practical machine learning tools and techniques","author":"I. Witten","year":"2005","unstructured":"Witten, I., Frank, E.: Data Mining: Practical machine learning tools and techniques, 2nd edn. Morgan Kaufmann, San Francisco (2005)","edition":"2"},{"key":"13_CR35","doi-asserted-by":"crossref","unstructured":"Wu, J., Yang, Z., Lin, Y., Lin, H., Ye, Z., Xu, K.: Learning to rank using query-level regression. In: SIGIR, pp. 1091\u20131092 (2011)","DOI":"10.1145\/2009916.2010064"},{"key":"13_CR36","unstructured":"Wu, Q., Burges, C., Svore, K., Cao, J.: Ranking boosting and model adaptation. Technical report, Microsoft (2008)"},{"key":"13_CR37","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"151","DOI":"10.1007\/978-3-642-17187-1_14","volume-title":"Information Retrieval Technology","author":"Z. Ye","year":"2010","unstructured":"Ye, Z., He, B., Huang, X., Lin, H.: Revisiting Rocchio\u2019s Relevance Feedback Algorithm for Probabilistic Models. In: Cheng, P.-J., Kan, M.-Y., Lam, W., Nakov, P. (eds.) AIRS 2010. LNCS, vol.\u00a06458, pp. 151\u2013161. Springer, Heidelberg (2010)"},{"key":"13_CR38","doi-asserted-by":"crossref","unstructured":"Zhai, C., Lafferty, J.D.: Model-based feedback in the language modeling approach to information retrieval. In: CIKM, pp. 403\u2013410 (2001)","DOI":"10.1145\/502585.502654"},{"key":"13_CR39","doi-asserted-by":"crossref","unstructured":"Zheng, Z., Zha, H., Sun, G.: Query-level learning to rank using isotonic regression. In: Allerton, pp. 1108\u20131115 (2008)","DOI":"10.1109\/ALLERTON.2008.4797684"},{"key":"13_CR40","doi-asserted-by":"crossref","unstructured":"Cao, Z., Qin, T., Liu, T.-Y., Tsai, M.-F., Li, H.: Learning to rank: from pairwise approach to listwise approach. In: ICML, pp. 129\u2013136 (2007)","DOI":"10.1145\/1273496.1273513"},{"key":"13_CR41","doi-asserted-by":"crossref","unstructured":"Ounis, I., Macdonald, C., Lin, J., Soboroff, I.: Overview of the TREC 2011 microblog track. In: TREC, Gaithersburg, MD (2011)","DOI":"10.6028\/NIST.SP.500-296.microblog-overview"},{"key":"13_CR42","doi-asserted-by":"crossref","unstructured":"OunIs, I., Amati, G., Plachouras, V., He, B., Macdonald, C., Lioma, C.: Terrier: A High Performance and Scalable Information Retrieval Platform. In: Proceedings of ACM SIGIR 2006 Workshop on Open Source Information Retrieval (OSIR), Seattle, Washington, USA, August 10 (2006)","DOI":"10.1007\/978-3-540-31865-1_37"},{"key":"13_CR43","unstructured":"http:\/\/olivo.net\/software\/lc4j\/"}],"container-title":["Lecture Notes in Computer Science","Pervasive Computing and the Networked World"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-642-37015-1_13","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,4,29]],"date-time":"2025-04-29T22:57:26Z","timestamp":1745967446000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-642-37015-1_13"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2013]]},"ISBN":["9783642370144","9783642370151"],"references-count":43,"URL":"https:\/\/doi.org\/10.1007\/978-3-642-37015-1_13","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2013]]}}}