{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,5]],"date-time":"2026-01-05T22:24:06Z","timestamp":1767651846261,"version":"3.40.3"},"publisher-location":"Cham","reference-count":23,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030600280"},{"type":"electronic","value":"9783030600297"}],"license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020]]},"DOI":"10.1007\/978-3-030-60029-7_19","type":"book-chapter","created":{"date-parts":[[2020,9,21]],"date-time":"2020-09-21T23:07:40Z","timestamp":1600729660000},"page":"202-214","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Word Embedding-Based Reformulation for Long Queries in Information Search"],"prefix":"10.1007","author":[{"given":"Wei","family":"Yan","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yarong","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chunlan","family":"Huang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shengli","family":"Wu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2020,9,22]]},"reference":[{"key":"19_CR1","doi-asserted-by":"publisher","unstructured":"Bendersky, M., Bruce Croft, W.: Discovering key concepts in long queries. In: Proceedings of SIGIR 2008, pp. 491\u2013498 (2008). https:\/\/doi.org\/10.1145\/1390334.1390419","DOI":"10.1145\/1390334.1390419"},{"key":"19_CR2","doi-asserted-by":"publisher","unstructured":"Huston, S., Bruce Croft, W.: Evaluating verbose query processing techniques. In: Proceedings of SIGIR 2010, pp. 291\u2013298 (2010). https:\/\/doi.org\/10.1145\/1835449.1835499","DOI":"10.1145\/1835449.1835499"},{"key":"19_CR3","doi-asserted-by":"publisher","unstructured":"Park, J.H., Bruce Croft, W.: Query term ranking based on dependency parsing of long queries. In: Proceedings of SIGIR 2010, pp. 829\u2013830 (2010). https:\/\/doi.org\/10.1145\/1835449.1835637","DOI":"10.1145\/1835449.1835637"},{"key":"19_CR4","doi-asserted-by":"publisher","unstructured":"Xue, X., Bruce Croft, W.: Modeling subset distributions for long queries. In: Proceedings of SIGIR 2011, pp. 1133\u20131134 (2011). https:\/\/doi.org\/10.1145\/2009916.2010085","DOI":"10.1145\/2009916.2010085"},{"key":"19_CR5","doi-asserted-by":"publisher","unstructured":"Maxwell, K.T., Bruce Croft, W.: Compact query term selection using topically related text. In: Proceedings of SIGIR 2013, pp. 583\u2013592 (2013). https:\/\/doi.org\/10.1145\/2484028.2484096","DOI":"10.1145\/2484028.2484096"},{"key":"19_CR6","doi-asserted-by":"publisher","unstructured":"Yang, B., Parikh, N., Singh, G.: A study of query term deletion using large-scale e-commerce search logs. In: Proceedings of ECowlIR 2014, pp. 235\u2013246 (2014). https:\/\/doi.org\/10.1007\/978-3-319-06028-6_20","DOI":"10.1007\/978-3-319-06028-6_20"},{"key":"19_CR7","unstructured":"Mikolov, T., Chen, K., Corrado, G., Dean, J.: Efficient estimation of word representations in vector space. In: Proceedings of Workshop at ICLR (2013)"},{"key":"19_CR8","doi-asserted-by":"publisher","unstructured":"Zheng, G., Callam, J.: Learning to reweight terms with distributed representations. In Proceedings of SIGIR 2015, pp. 575\u2013584. https:\/\/doi.org\/10.1145\/2766462.2767700","DOI":"10.1145\/2766462.2767700"},{"key":"19_CR9","doi-asserted-by":"publisher","unstructured":"Zamani, H., Bruce Corft, W.: Embedding-based query language models. In: Proceedings of ICTIR 2016, pp. 147\u2013156 (2016). https:\/\/doi.org\/10.1145\/2970398.2970405","DOI":"10.1145\/2970398.2970405"},{"key":"19_CR10","doi-asserted-by":"publisher","unstructured":"Fern\u00e1ndez-Reyes, F., Valadez, J., Montes-y-G\u00f3mez. M: A prospect-guided global query expansion strategy using word embeddings. Inf. Process. Manage. 54(1), 1\u201313 (2018). https:\/\/doi.org\/10.1016\/j.ipm.2017.09.001","DOI":"10.1016\/j.ipm.2017.09.001"},{"key":"19_CR11","doi-asserted-by":"publisher","unstructured":"Grbovic, M., Djuric, N., Radosavljevic, V., Silvestri, F., Bhamidipati, N.: Context- and content-aware embeddings for Query Rewriting in Sponsored Search. In: Proceedings of SIGIR 2015, pp. 383\u2013392 (2015). https:\/\/doi.org\/10.1145\/2766462.2767709","DOI":"10.1145\/2766462.2767709"},{"key":"19_CR12","doi-asserted-by":"publisher","unstructured":"Bendersky, M., Metzler, D., Bruce Croft, W.: Learning concept importance using a weighted dependence model. In: Proceedings of WSDM 2010, pp. 31\u201340 (2010). https:\/\/doi.org\/10.1145\/1718487.1718492","DOI":"10.1145\/1718487.1718492"},{"key":"19_CR13","doi-asserted-by":"publisher","unstructured":"Xue, X., Huston, S., Bruce Croft, W.: Improving long queries using subset distribution. In: Proceedings of CIKM 2010, pp. 1059\u20131068 (2010). https:\/\/doi.org\/10.1145\/1871437.1871572","DOI":"10.1145\/1871437.1871572"},{"key":"19_CR14","doi-asserted-by":"publisher","unstructured":"Xue, X., Tao, Y., Jiang, D., Li, H.: Automatically mining question reformulation patterns from search log data. In: Proceedings of ACL (2), pp. 187\u2013192 (2012). https:\/\/doi.org\/10.5555\/2390665.2390712","DOI":"10.5555\/2390665.2390712"},{"key":"19_CR15","doi-asserted-by":"publisher","unstructured":"Zamani, H., Bruce Croft, W.: Relevance-based word embedding. In: Proceedings of SIGIR 2017, pp. 505\u2013514 (2017). https:\/\/doi.org\/10.1145\/3077136.3080831","DOI":"10.1145\/3077136.3080831"},{"issue":"3\u20134","key":"19_CR16","doi-asserted-by":"publisher","first-page":"91","DOI":"10.1561\/9781680830453","volume":"9","author":"M Gupta","year":"2015","unstructured":"Gupta, M., Bendersky, M.: Information retrieval with verbose queries. Found. Trends Inf. Retriev. 9(3\u20134), 91\u2013208 (2015). https:\/\/doi.org\/10.1561\/9781680830453","journal-title":"Found. Trends Inf. Retriev."},{"issue":"4","key":"19_CR17","doi-asserted-by":"publisher","first-page":"657","DOI":"10.1016\/j.ipm.2018.04.007","volume":"54","author":"E Bagheri","year":"2018","unstructured":"Bagheri, E., Ensan, F., Al-Obeidat, F.: Neural word and entity embeddings for ad hoc retrieval. Inf. Process. Manage. 54(4), 657\u2013673 (2018). https:\/\/doi.org\/10.1016\/j.ipm.2018.04.007","journal-title":"Inf. Process. Manage."},{"key":"19_CR18","unstructured":"Amer, N O., Mulhem, P., Gery, M.: Toward word embedding for personalized information retrieval. CoRR abs\/1606.06991 (2016)"},{"key":"19_CR19","doi-asserted-by":"publisher","unstructured":"Xue, X., Bruce Croft, W.: Generating reformulation trees for complex queries. In: Proceedings of SIGIR 2012, pp. 525\u2013534 (2012). https:\/\/doi.org\/10.1145\/2348283.2348355","DOI":"10.1145\/2348283.2348355"},{"key":"19_CR20","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"155","DOI":"10.1007\/978-3-319-48051-0_12","volume-title":"Information Retrieval Technology","author":"X Liu","year":"2016","unstructured":"Liu, X., Nie, J.-Y., Sordoni, A.: Constraining word embeddings by prior knowledge \u2013 application to medical information retrieval. In: Ma, S., et al. (eds.) AIRS 2016. LNCS, vol. 9994, pp. 155\u2013167. Springer, Cham (2016). https:\/\/doi.org\/10.1007\/978-3-319-48051-0_12"},{"key":"19_CR21","doi-asserted-by":"publisher","unstructured":"El Mahdaouy, A., El Alaoui Ouatik, S., Gaussier, E.: Word-embedding-based pseudo-relevance feedback for Arabic information retrieval. J. Inf. Sci. 45(4) (2019). https:\/\/doi.org\/10.1177\/0165551518792210","DOI":"10.1177\/0165551518792210"},{"issue":"1","key":"19_CR22","doi-asserted-by":"publisher","first-page":"27","DOI":"10.1007\/s10844-019-00556-x","volume":"53","author":"K Bae","year":"2019","unstructured":"Bae, K., Ko, Y.: Efficient question classification and retrieval using category information and word embedding on cQA services. J. Intell. Inf. Syst. 53(1), 27\u201349 (2019). https:\/\/doi.org\/10.1007\/s10844-019-00556-x","journal-title":"J. Intell. Inf. Syst."},{"key":"19_CR23","doi-asserted-by":"publisher","unstructured":"Zhang, Z., Xu, C., Wu, S.: Evaluation of Score standardization methods for web search in support of results diversification. In: Proceedings of WISA 2018, pp. 182\u2013190 (2018). https:\/\/doi.org\/10.1007\/978-3-030-02934-0_17","DOI":"10.1007\/978-3-030-02934-0_17"}],"container-title":["Lecture Notes in Computer Science","Web Information Systems and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-60029-7_19","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,7]],"date-time":"2024-03-07T11:41:30Z","timestamp":1709811690000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-60029-7_19"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"ISBN":["9783030600280","9783030600297"],"references-count":23,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-60029-7_19","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2020]]},"assertion":[{"value":"22 September 2020","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"WISA","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Web Information Systems and Applications","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Guangzhou","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":"2020","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"23 September 2020","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"25 September 2020","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"17","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"wisa22020","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/wisa.pmease.cn\/wisa2020\/index.html","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Double-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"CCF Consys","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"165","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":"42","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":"16","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":"25% - 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":"3.6","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":"7.2","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":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}