{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,27]],"date-time":"2025-03-27T07:08:00Z","timestamp":1743059280369,"version":"3.40.3"},"publisher-location":"Cham","reference-count":36,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030881887"},{"type":"electronic","value":"9783030881894"}],"license":[{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021]]},"DOI":"10.1007\/978-3-030-88189-4_1","type":"book-chapter","created":{"date-parts":[[2021,10,5]],"date-time":"2021-10-05T02:32:55Z","timestamp":1633401175000},"page":"3-15","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Interaction-Based Document Matching for Implicit Search Result Diversification"],"prefix":"10.1007","author":[{"given":"Xubo","family":"Qin","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhicheng","family":"Dou","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yutao","family":"Zhu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ji-Rong","family":"Wen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2021,10,5]]},"reference":[{"key":"1_CR1","doi-asserted-by":"crossref","unstructured":"Agrawal, R., Gollapudi, S., Halverson, A., Ieong, S.: Diversifying search results. In: WSDM (2009)","DOI":"10.1145\/1498759.1498766"},{"key":"1_CR2","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"588","DOI":"10.1007\/978-3-540-30192-9_58","volume-title":"Current Trends in Database Technology - EDBT 2004 Workshops","author":"R Baeza-Yates","year":"2004","unstructured":"Baeza-Yates, R., Hurtado, C., Mendoza, M.: Query recommendation using query logs in search engines. In: Lindner, W., Mesiti, M., T\u00fcrker, C., Tzitzikas, Y., Vakali, A.I. (eds.) EDBT 2004. LNCS, vol. 3268, pp. 588\u2013596. Springer, Heidelberg (2004). https:\/\/doi.org\/10.1007\/978-3-540-30192-9_58"},{"key":"1_CR3","first-page":"993","volume":"3","author":"DM Blei","year":"2003","unstructured":"Blei, D.M., Ng, A.Y., Jordan, M.I.: Latent Dirichlet allocation. J. Mach. Learn. Res. 3, 993\u20131022 (2003)","journal-title":"J. Mach. Learn. Res."},{"key":"1_CR4","doi-asserted-by":"crossref","unstructured":"Carbonell, J.G., Goldstein, J.: The use of MMR, diversity-based reranking for reordering documents and producing summaries. In: SIGIR (1998)","DOI":"10.1145\/290941.291025"},{"key":"1_CR5","doi-asserted-by":"crossref","unstructured":"Chapelle, O., Metlzer, D., Zhang, Y., Grinspan, P.: Expected reciprocal rank for graded relevance. In: CIKM. ACM (2009)","DOI":"10.1145\/1645953.1646033"},{"key":"1_CR6","unstructured":"Clark, K., Luong, M., Le, Q.V., Manning, C.D.: ELECTRA: pre-training text encoders as discriminators rather than generators. In: ICLR. OpenReview.net (2020)"},{"key":"1_CR7","doi-asserted-by":"crossref","unstructured":"Clarke, C.L.A., et al.: Novelty and diversity in information retrieval evaluation. In: SIGIR. ACM (2008)","DOI":"10.1145\/1390334.1390446"},{"key":"1_CR8","doi-asserted-by":"crossref","unstructured":"Dai, Z., Xiong, C., Callan, J., Liu, Z.: Convolutional neural networks for soft-matching n-grams in ad-hoc search. In: WSDM. ACM (2018)","DOI":"10.1145\/3159652.3159659"},{"key":"1_CR9","doi-asserted-by":"crossref","unstructured":"Dang, V., Croft, W.B.: Diversity by proportionality: an election-based approach to search result diversification. In: SIGIR (2012)","DOI":"10.1145\/2348283.2348296"},{"key":"1_CR10","doi-asserted-by":"crossref","unstructured":"Dang, V., Croft, W.B.: Term level search result diversification. In: SIGIR (2013)","DOI":"10.1145\/2484028.2484095"},{"key":"1_CR11","unstructured":"Devlin, J., Chang, M., Lee, K., Toutanova, K.: BERT: pre-training of deep bidirectional transformers for language understanding. In: NAACL-HLT. Association for Computational Linguistics (2019)"},{"key":"1_CR12","doi-asserted-by":"crossref","unstructured":"Dou, Z., Song, R., Wen, J.: A large-scale evaluation and analysis of personalized search strategies. In: WWW. ACM (2007)","DOI":"10.1145\/1242572.1242651"},{"issue":"6","key":"1_CR13","doi-asserted-by":"publisher","first-page":"102067","DOI":"10.1016\/j.ipm.2019.102067","volume":"57","author":"J Guo","year":"2020","unstructured":"Guo, J., et al.: A deep look into neural ranking models for information retrieval. Inf. Process. Manag. 57(6), 102067 (2020)","journal-title":"Inf. Process. Manag."},{"key":"1_CR14","doi-asserted-by":"crossref","unstructured":"Hu, S., Dou, Z., Wang, X., Sakai, T., Wen, J.: Search result diversification based on hierarchical intents. In: CIKM (2015)","DOI":"10.1145\/2806416.2806455"},{"key":"1_CR15","doi-asserted-by":"crossref","unstructured":"Huang, P., He, X., Gao, J., Deng, L., Acero, A., Heck, L.P.: Learning deep structured semantic models for web search using clickthrough data. In: CIKM. ACM (2013)","DOI":"10.1145\/2505515.2505665"},{"issue":"2","key":"1_CR16","doi-asserted-by":"publisher","first-page":"207","DOI":"10.1016\/S0306-4573(99)00056-4","volume":"36","author":"BJ Jansen","year":"2000","unstructured":"Jansen, B.J., Spink, A., Saracevic, T.: Real life, real users, and real needs: a study and analysis of user queries on the web. Inf. Process. Manag. 36(2), 207\u2013227 (2000)","journal-title":"Inf. Process. Manag."},{"key":"1_CR17","doi-asserted-by":"crossref","unstructured":"Jiang, Z., Wen, J., Dou, Z., Zhao, W.X., Nie, J., Yue, M.: Learning to diversify search results via subtopic attention. In: SIGIR (2017)","DOI":"10.1145\/3077136.3080805"},{"key":"1_CR18","doi-asserted-by":"crossref","unstructured":"Khattab, O., Zaharia, M.: ColBERT: efficient and effective passage search via contextualized late interaction over BERT. In: SIGIR. ACM (2020)","DOI":"10.1145\/3397271.3401075"},{"key":"1_CR19","unstructured":"Kingma, D.P., Ba, J.: Adam: a method for stochastic optimization. In: Bengio, Y., LeCun, Y. (eds.) ICLR (2015)"},{"key":"1_CR20","unstructured":"Le, Q., Mikolov, T.: Distributed representations of sentences and documents. In: ICML 2014 (2014)"},{"key":"1_CR21","doi-asserted-by":"crossref","unstructured":"Liu, J., Dou, Z., Wang, X., Lu, S., Wen, J.: DVGAN: a minimax game for search result diversification combining explicit and implicit features. In: SIGIR (2020)","DOI":"10.1145\/3397271.3401084"},{"key":"1_CR22","doi-asserted-by":"crossref","unstructured":"Qin, X., Dou, Z., Wen, J.: Diversifying search results using self-attention network. In: CIKM. ACM (2020)","DOI":"10.1145\/3340531.3411914"},{"key":"1_CR23","unstructured":"Sanh, V., Debut, L., Chaumond, J., Wolf, T.: Distilbert, a distilled version of BERT: smaller, faster, cheaper and lighter. CoRR abs\/1910.01108 (2019)"},{"key":"1_CR24","doi-asserted-by":"crossref","unstructured":"Santos, R.L.T., Macdonald, C., Ounis, I.: Exploiting query reformulations for web search result diversification. In: WWW (2010)","DOI":"10.1145\/1772690.1772780"},{"key":"1_CR25","doi-asserted-by":"crossref","unstructured":"Shen, Y., He, X., Gao, J., Deng, L., Mesnil, G.: Learning semantic representations using convolutional neural networks for web search. In: WWW. ACM (2014)","DOI":"10.1145\/2567948.2577348"},{"key":"1_CR26","doi-asserted-by":"crossref","unstructured":"Silverstein, C., Henzinger, M.R., Marais, H., Moricz, M.: Analysis of a very large web search engine query log. In: SIGIR Forum, vol. 33, no. 1 (1999)","DOI":"10.1145\/331403.331405"},{"key":"1_CR27","doi-asserted-by":"crossref","unstructured":"Song, R., Luo, Z., Wen, J., Yu, Y., Hon, H.: Identifying ambiguous queries in web search. In: WWW. ACM (2007)","DOI":"10.1145\/1242572.1242749"},{"key":"1_CR28","doi-asserted-by":"crossref","unstructured":"Tao, C., Wu, W., Xu, C., Hu, W., Zhao, D., Yan, R.: Multi-representation fusion network for multi-turn response selection in retrieval-based chatbots. In: WSDM (2019)","DOI":"10.1145\/3289600.3290985"},{"key":"1_CR29","unstructured":"Vaswani, A., et al.: Attention is all you need. In: NeurIPS (2017)"},{"key":"1_CR30","doi-asserted-by":"crossref","unstructured":"Xia, L., Xu, J., Lan, Y., Guo, J., Cheng, X.: Learning maximal marginal relevance model via directly optimizing diversity evaluation measures. In: SIGIR (2015)","DOI":"10.1145\/2766462.2767710"},{"key":"1_CR31","doi-asserted-by":"crossref","unstructured":"Xia, L., Xu, J., Lan, Y., Guo, J., Cheng, X.: Modeling document novelty with neural tensor network for search result diversification. In: SIGIR (2016)","DOI":"10.1145\/2911451.2911498"},{"key":"1_CR32","doi-asserted-by":"crossref","unstructured":"Xiong, C., Dai, Z., Callan, J., Liu, Z., Power, R.: End-to-end neural ad-hoc ranking with kernel pooling. In: SIGIR. ACM (2017)","DOI":"10.1145\/3077136.3080809"},{"key":"1_CR33","doi-asserted-by":"crossref","unstructured":"Yue, Y., Joachims, T.: Predicting diverse subsets using structural SVMs. In: ICML. ACM International Conference Proceeding Series, vol. 307 (2008)","DOI":"10.1145\/1390156.1390310"},{"key":"1_CR34","doi-asserted-by":"crossref","unstructured":"Zhai, C., Cohen, W.W., Lafferty, J.D.: Beyond independent relevance: methods and evaluation metrics for subtopic retrieval. In: SIGIR (2003)","DOI":"10.1145\/860435.860440"},{"key":"1_CR35","doi-asserted-by":"crossref","unstructured":"Zhou, X., et al.: Multi-turn response selection for chatbots with deep attention matching network. In: ACL (2018)","DOI":"10.18653\/v1\/P18-1103"},{"key":"1_CR36","doi-asserted-by":"crossref","unstructured":"Zhu, Y., Lan, Y., Guo, J., Cheng, X., Niu, S.: Learning for search result diversification. In: SIGIR (2014)","DOI":"10.1145\/2600428.2609634"}],"container-title":["Lecture Notes in Computer Science","Information Retrieval"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-88189-4_1","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,10,5]],"date-time":"2021-10-05T02:33:58Z","timestamp":1633401238000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-88189-4_1"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"ISBN":["9783030881887","9783030881894"],"references-count":36,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-88189-4_1","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2021]]},"assertion":[{"value":"5 October 2021","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"CCIR","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"China Conference on Information Retrieval","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Dalian","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"China","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2021","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"29 October 2021","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"31 October 2021","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"27","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"ccir2021","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/ccir2021.dlufl.edu.cn\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Single-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"EasyChair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"124","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"15","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"0","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"12% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"5-6","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"No","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"15 English papers and 57 Chinese papers","order":10,"name":"additional_info_on_review_process","label":"Additional Info on Review Process","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}