{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,13]],"date-time":"2025-11-13T12:28:56Z","timestamp":1763036936215,"version":"3.37.3"},"reference-count":50,"publisher":"Springer Science and Business Media LLC","issue":"6","license":[{"start":{"date-parts":[[2015,11,19]],"date-time":"2015-11-19T00:00:00Z","timestamp":1447891200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2015,11,19]],"date-time":"2015-11-19T00:00:00Z","timestamp":1447891200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"funder":[{"DOI":"10.13039\/100000001","name":"National Science Foundation","doi-asserted-by":"publisher","award":["IIS-1423002"],"award-info":[{"award-number":["IIS-1423002"]}],"id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012166","name":"National Basic Research Program of China","doi-asserted-by":"crossref","award":["2013CB336500"],"award-info":[{"award-number":["2013CB336500"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"crossref"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Inf Retrieval J"],"published-print":{"date-parts":[[2015,12]]},"DOI":"10.1007\/s10791-015-9278-7","type":"journal-article","created":{"date-parts":[[2015,11,19]],"date-time":"2015-11-19T15:02:23Z","timestamp":1447945343000},"page":"586-610","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":10,"title":["Opinions matter: a general approach to user profile modeling for contextual suggestion"],"prefix":"10.1007","volume":"18","author":[{"given":"Peilin","family":"Yang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hongning","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hui","family":"Fang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Deng","family":"Cai","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2015,11,19]]},"reference":[{"issue":"1","key":"9278_CR1","doi-asserted-by":"publisher","first-page":"2","DOI":"10.1145\/2215676.2215678","volume":"46","author":"J Allan","year":"2012","unstructured":"Allan, J., Croft, B., Moffat, A., & Sanderson, M. (2012). Frontiers, challenges, and opportunities for information retrieval: Report from swirl 2012 the second strategic workshop on information retrieval in lorne. SIGIR Forum, 46(1), 2\u201332.","journal-title":"SIGIR Forum"},{"key":"9278_CR2","unstructured":"Baccianella, S., Esuli, A., & Sebastiani, F. (2010). Sentiwordnet 3.0: An enhanced lexical resource for sentiment analysis and opinion mining. In Proceedings of the seventh international conference on language resources and evaluation (LREC\u201910), Valletta, Malta, May 2010."},{"key":"9278_CR3","doi-asserted-by":"crossref","unstructured":"Bao, J., Zheng, Y., & Mokbel, M. F. (2012). Location-based and preference-aware recommendation using sparse geo-social networking data. In Proceedings of the 20th international conference on advances in geographic information systems, SIGSPATIAL \u201912, New York, NY, USA, 2012 (pp. 199\u2013208). ACM.","DOI":"10.1145\/2424321.2424348"},{"key":"9278_CR4","unstructured":"Bellog\u00edn, A., Gebremeskel, G. G., He, J., Lin, J., & Said, A. (2013). CWI and TU delft notebook TREC 2013: Contextual suggestion, federated web search, KBA, and web tracks. In Proceedings of TREC\u201913."},{"key":"9278_CR5","unstructured":"Burges, C. J. C. (2010). From RankNet to LambdaRank to LambdaMART: An overview. Technical report, Microsoft Research."},{"key":"9278_CR6","doi-asserted-by":"crossref","unstructured":"Chapelle, O., Metlzer, D., Zhang, Y., & Grinspan, P. (2009). Expected reciprocal rank for graded relevance. In Proceedings of the 18th ACM conference on information and knowledge management, CIKM \u201909, New York, NY, USA, 2009 (pp. 621\u2013630). ACM.","DOI":"10.1145\/1645953.1646033"},{"issue":"3","key":"9278_CR7","doi-asserted-by":"publisher","first-page":"74","DOI":"10.1109\/MIS.2010.75","volume":"25","author":"H Chen","year":"2010","unstructured":"Chen, H., & Zimbra, D. (2010). Ai and opinion mining. IEEE Intelligent Systems, 25(3), 74\u201380.","journal-title":"IEEE Intelligent Systems"},{"key":"9278_CR8","unstructured":"Das, D., & Martins, A. F. T. (2007). A survey on automatic text summarization. In Literature Survey for the Language and Statistics II course at Carnegie Mellon University. http:\/\/www.cs.cmu.edu\/~nasmith\/LS2\/das-martins.07.pdf."},{"key":"9278_CR9","unstructured":"Dean-Hall, A., Clarke, C., Kamps, J., Thomas, P., Simone, N. & Voorhees, E. (2013). Overview of the TREC 2013 contextual suggestion track. In Proceedings of TREC\u201913."},{"key":"9278_CR10","unstructured":"Dean-Hall, A., Clarke, C., Kamps, J., Thomas, P., Simone, N., & Voorhees, E. (2014). Overview of the TREC 2014 contextual suggestion track. In Proceedings of TREC\u201914."},{"key":"9278_CR11","unstructured":"Dean-Hall, A., Clarke, C., Kamps, J., Thomas, P., & Voorhees, E. (2012). Overview of the TREC 2012 contextual suggestion track. In Proceedings of TREC\u201912."},{"issue":"3","key":"9278_CR12","doi-asserted-by":"publisher","first-page":"205","DOI":"10.1007\/s10032-009-0090-z","volume":"12","author":"L Dey","year":"2009","unstructured":"Dey, L., & Haque, S. M. (2009). Opinion mining from noisy text data. International Journal on Document Analysis and Recognition (IJDAR), 12(3), 205\u2013226.","journal-title":"International Journal on Document Analysis and Recognition (IJDAR)"},{"key":"9278_CR13","doi-asserted-by":"crossref","unstructured":"Ding, X., & Liu, B. (2007). The utility of linguistic rules in opinion mining. In Proceedings of the 30th annual international ACM SIGIR conference on research and development in information retrieval (pp. 811\u2013812). ACM.","DOI":"10.1145\/1277741.1277921"},{"issue":"2","key":"9278_CR14","doi-asserted-by":"publisher","first-page":"105","DOI":"10.1145\/1480506.1480528","volume":"42","author":"A Esuli","year":"2008","unstructured":"Esuli, A. (2008). Automatic generation of lexical resources for opinion mining: Models, algorithms and applications. SIGIR Forum, 42(2), 105\u2013106.","journal-title":"SIGIR Forum"},{"key":"9278_CR15","doi-asserted-by":"crossref","unstructured":"Fang, H., & Zhai, C. (2005). An exploration of axiomatic approaches to information retrieval. In Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval, SIGIR \u201905. New York, NY, USA (pp. 480\u2013487).","DOI":"10.1145\/1076034.1076116"},{"key":"9278_CR16","doi-asserted-by":"publisher","first-page":"1189","DOI":"10.1214\/aos\/1013203451","volume":"29","author":"JH Friedman","year":"2000","unstructured":"Friedman, J. H. (2000). Greedy function approximation: A gradient boosting machine. Annals of Statistics, 29, 1189\u20131232.","journal-title":"Annals of Statistics"},{"key":"9278_CR17","unstructured":"Ganesan, K., Zhai, C., & Han, J. (2010). Opinosis: A graph-based approach to abstractive summarization of highly redundant opinions. In Proceedings of the 23rd international conference on computational linguistics, COLING \u201910 (pp. 340\u2013348)."},{"key":"9278_CR18","unstructured":"Hariri, N., Mobasher, B., Burke, R., & Zheng, Y. (2011). Context-aware recommendation based on review mining. In Proceedings of the 9th workshop on intelligent techniques for web personalization and recommender systems."},{"key":"9278_CR19","unstructured":"Hubert, G., & Cabanac, G. (2012). IRIT at TREC 2012 contextual suggestion track. In Proceedings of TREC\u201912."},{"key":"9278_CR20","doi-asserted-by":"crossref","unstructured":"Jakob, N., Weber, S. H., M\u00fcller, M. C., & Gurevych, I. (2009). Beyond the stars: Exploiting free-text user reviews to improve the accuracy of movie recommendations. In Proceedings of the 1st international CIKM workshop on topic-sentiment analysis for mass opinion, TSA \u201909, New York, NY, USA, 2009 (pp. 57\u201364). ACM.","DOI":"10.1145\/1651461.1651473"},{"key":"9278_CR21","unstructured":"Jiang, M., & He, D. (2013). PITT at TREC 2013 contextual suggestion track. In Proceedings of TREC\u201913."},{"issue":"1","key":"9278_CR22","doi-asserted-by":"publisher","first-page":"91","DOI":"10.1016\/S0004-3702(02)00222-9","volume":"139","author":"K Knight","year":"2002","unstructured":"Knight, K., & Marcu, D. (2002). Summarization beyond sentence extraction: A probabilistic approach to sentence compression. Artificial Intelligence, 139(1), 91\u2013107.","journal-title":"Artificial Intelligence"},{"key":"9278_CR23","unstructured":"Koolen, M., Huurdeman, H., & Kamps, J. (2013). University of Amsterdam at the TREC 2013 contextual suggestion track: Learning user preferences from wikitravel categories. In Proceedings of TREC\u201913."},{"key":"9278_CR24","doi-asserted-by":"crossref","unstructured":"Levi, A., Mokryn, O., Diot, C., & Taft, N. (2012). Finding a needle in a haystack of reviews: Cold start context-based hotel recommender system. In Proceedings of the RecSys\u201912.","DOI":"10.1145\/2365952.2365977"},{"key":"9278_CR25","unstructured":"Li, H., & Alonso, R. (2014). User modeling for contextual suggestion. In Proceedings of TREC\u201914."},{"key":"9278_CR26","unstructured":"Li, H., Yang, Z., Lai, Y., Duan, L., & Fan, K. (2014). BJUT at TREC 2014 contextual suggestion track: Hybrid recommendation based on open-web information. In Proceedings of TREC\u201914."},{"issue":"3","key":"9278_CR27","doi-asserted-by":"publisher","first-page":"225","DOI":"10.1561\/1500000016","volume":"3","author":"T-Y Liu","year":"2009","unstructured":"Liu, T.-Y. (2009). Learning to rank for information retrieval. Foundations and Trends in Information Retrieval, 3(3), 225\u2013331.","journal-title":"Foundations and Trends in Information Retrieval"},{"key":"9278_CR28","doi-asserted-by":"crossref","unstructured":"Lv, Y., Lymberopoulos, D., & Wu, Q. (2012). An exploration of ranking heuristics in mobile local search. In Proceedings of the SIGIR\u201912.","DOI":"10.1145\/2348283.2348325"},{"issue":"5","key":"9278_CR29","doi-asserted-by":"publisher","first-page":"584","DOI":"10.1007\/s10791-012-9209-9","volume":"16","author":"C Macdonald","year":"2013","unstructured":"Macdonald, C., Santos, R. L., & Ounis, I. (2013). The whens and hows of learning to rank for web search. Information Retrieval, 16(5), 584\u2013628.","journal-title":"Information Retrieval"},{"key":"9278_CR30","doi-asserted-by":"publisher","DOI":"10.1075\/nlp.3","volume-title":"Automatic summarization","author":"I Mani","year":"2001","unstructured":"Mani, I. (2001). Automatic summarization (Vol.\u00a03). Amsterdam: John Benjamins."},{"key":"9278_CR31","volume-title":"Advances in automatic text summarization","author":"I Mani","year":"1999","unstructured":"Mani, I., & Maybury, M. T. (1999). Advances in automatic text summarization.\u00a0Cambridge, MA: MIT Press."},{"key":"9278_CR32","unstructured":"McCreadie, R., Deveaud, R., Albakour, M.-D., Mackie, S., Limsopatham, N., Macdonald, C., Ounis, I., Thonet, T., & Taner, B. (2014). University of Glasgow at TREC 2014: Experiments with terrier in contextual suggestion, temporal summarisation and web tracks. In Proceedings of TREC\u201914."},{"key":"9278_CR33","doi-asserted-by":"crossref","unstructured":"Noulas, A., Scellato, S., Lathia, N., & Mascolo, C. (2012). A random walk around the city: New venue recommendation in location-based social networks. In Proceedings of the 2012 ASE\/IEEE international conference on social computing and 2012 ASE\/IEEE international conference on privacy, security, risk and trust, SOCIALCOM-PASSAT \u201912, Washington, DC, USA, 2012 (pp. 144\u2013153). IEEE Computer Society.","DOI":"10.1109\/SocialCom-PASSAT.2012.70"},{"key":"9278_CR34","unstructured":"Pak, A., & Paroubek, P. (2010). Twitter as a corpus for sentiment analysis and opinion mining. In Proceedings of the seventh conference on international language resources and evaluation (LREC\u201910), Valletta, Malta, May 2010."},{"key":"9278_CR35","doi-asserted-by":"crossref","unstructured":"Pang, B., & Lee, L. (2004). A sentimental education: Sentiment analysis using subjectivity summarization based on minimum cuts. In Proceedings of the 42nd annual meeting on association for computational linguistics, ACL \u201904, Stroudsburg, PA, USA.","DOI":"10.3115\/1218955.1218990"},{"issue":"1\u20132","key":"9278_CR36","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1561\/1500000011","volume":"2","author":"B Pang","year":"2008","unstructured":"Pang, B., & Lee, L. (2008). Opinion mining and sentiment analysis. Foundations and Trends in Information Retrieval, 2(1\u20132), 1\u2013135.","journal-title":"Foundations and Trends in Information Retrieval"},{"key":"9278_CR37","doi-asserted-by":"crossref","unstructured":"Qumsiyeh, R., & Ng, Y.-K. (2012). Predicting the ratings of multimedia items for making personalized recommendations. In Proceedings of SIGIR\u201912.","DOI":"10.1145\/2348283.2348349"},{"issue":"4","key":"9278_CR38","doi-asserted-by":"publisher","first-page":"399","DOI":"10.1162\/089120102762671927","volume":"28","author":"D Radev","year":"2002","unstructured":"Radev, D., Jing, H., & Budzikowska, M. (2002). Introduction to the special issue on summarization. Computational Linguistics, 28(4), 399.","journal-title":"Computational Linguistics"},{"key":"9278_CR39","doi-asserted-by":"crossref","unstructured":"Raghavan, S., Gunasekar, S., & Ghosh, J. (2012). Review quality aware collaborative filtering. In Proceedings of RecSys\u201912.","DOI":"10.1145\/2365952.2365978"},{"key":"9278_CR40","unstructured":"Rao, A., & Carterette, B. (2012). Udel at TREC 2012. In Proceedings of TREC\u201912."},{"key":"9278_CR41","unstructured":"Roy, D., Bandyopadhyay, A., & Mitra, M. (2013). A simple context dependent suggestion system. In Proceedings of TREC\u201913."},{"key":"9278_CR42","doi-asserted-by":"crossref","unstructured":"San\u00a0Pedro, J., Yeh, T., & Oliver, N. (2012). Leveraging user comments for aesthetic aware image search reranking. In Proceedings of WWW\u201912.","DOI":"10.1145\/2187836.2187896"},{"key":"9278_CR43","doi-asserted-by":"crossref","unstructured":"Schein, A. I., Popescul, A., Ungar, L. H., & Pennock, D. M. (2002). Methods and metrics for cold-start recommendations. In Proceedings of the 25th annual international ACM SIGIR conference on research and development in information retrieval, , SIGIR \u201902, New York, NY, USA, 2002 (pp. 253\u2013260). ACM.","DOI":"10.1145\/564376.564421"},{"key":"9278_CR44","doi-asserted-by":"publisher","unstructured":"Su, X., & Khoshgoftaar, T. M. (2009). A survey of collaborative filtering techniques. Advances in Artificial Intelligence, 2009, 421425. doi:10.1155\/2009\/421425.","DOI":"10.1155\/2009\/421425"},{"key":"9278_CR45","unstructured":"Xu, D., & Callan, J. (2014). Modelling psychological needs for user-dependent contextual suggestion. In Proceedings of TREC\u201914."},{"key":"9278_CR46","unstructured":"Yang, P., & Fang, H. (2012). An exploration of ranking-based strategy for contextual suggestion. In Proceedings of TREC\u201912."},{"key":"9278_CR47","unstructured":"Yang, P., & Fang, H. (2013). An opinion-aware approach to contextual suggestion. In Proceedings of TREC\u201913."},{"key":"9278_CR48","doi-asserted-by":"crossref","unstructured":"Yang, P., & Fang, H. (2013). Opinion-based user profile modeling for contextual suggestions. In Proceedings of the 2013 conference on the theory of information retrieval, ICTIR \u201913, New York, NY, USA, 2013 (pp. 18:80\u201318:83). ACM.","DOI":"10.1145\/2499178.2499191"},{"key":"9278_CR49","unstructured":"Yang, P., & Fang, H. (2014). Exploration of opinion-aware approach to contextual suggestion. In Proceedings of TREC\u201914."},{"key":"9278_CR50","unstructured":"Yates, A., DeBoer, D., Yang, H., Goharian, N., Kunath, S., & Frieder, O. (2012). (Not too) personalized learning to rank for contextual suggestion. In Proceedings of TREC\u201912."}],"container-title":["Information Retrieval Journal"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10791-015-9278-7.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s10791-015-9278-7\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10791-015-9278-7","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10791-015-9278-7.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,2]],"date-time":"2024-01-02T14:22:52Z","timestamp":1704205372000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s10791-015-9278-7"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2015,11,19]]},"references-count":50,"journal-issue":{"issue":"6","published-print":{"date-parts":[[2015,12]]}},"alternative-id":["9278"],"URL":"https:\/\/doi.org\/10.1007\/s10791-015-9278-7","relation":{},"ISSN":["1386-4564","1573-7659"],"issn-type":[{"type":"print","value":"1386-4564"},{"type":"electronic","value":"1573-7659"}],"subject":[],"published":{"date-parts":[[2015,11,19]]},"assertion":[{"value":"7 March 2014","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"28 October 2015","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"19 November 2015","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"}]}}