{"id":"https://openalex.org/W2338709924","doi":"https://doi.org/10.1145/2911451.2911544","title":"Retrieving Non-Redundant Questions to Summarize a Product Review","display_name":"Retrieving Non-Redundant Questions to Summarize a Product Review","publication_year":2016,"publication_date":"2016-07-07","ids":{"openalex":"https://openalex.org/W2338709924","doi":"https://doi.org/10.1145/2911451.2911544","mag":"2338709924"},"language":"en","primary_location":{"id":"doi:10.1145/2911451.2911544","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2911451.2911544","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval","raw_type":"proceedings-article"},"type":"review","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5023578096","display_name":"Mengwen Liu","orcid":"https://orcid.org/0000-0001-8006-5995"},"institutions":[{"id":"https://openalex.org/I72816309","display_name":"Drexel University","ror":"https://ror.org/04bdffz58","country_code":"US","type":"education","lineage":["https://openalex.org/I72816309"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Mengwen Liu","raw_affiliation_strings":["Drexel University, PHILADELPHIA, PA, USA"],"affiliations":[{"raw_affiliation_string":"Drexel University, PHILADELPHIA, PA, USA","institution_ids":["https://openalex.org/I72816309"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101972978","display_name":"Yi Fang","orcid":"https://orcid.org/0000-0001-6572-4315"},"institutions":[{"id":"https://openalex.org/I16269868","display_name":"Santa Clara University","ror":"https://ror.org/03ypqe447","country_code":"US","type":"education","lineage":["https://openalex.org/I16269868"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yi Fang","raw_affiliation_strings":["Santa Clara University, Santa Clara, CA, USA"],"affiliations":[{"raw_affiliation_string":"Santa Clara University, Santa Clara, CA, USA","institution_ids":["https://openalex.org/I16269868"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103448879","display_name":"Dae Hoon Park","orcid":null},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dae Hoon Park","raw_affiliation_strings":["University of Illinois at Urbana-Champaign, Urbana, IL, USA"],"affiliations":[{"raw_affiliation_string":"University of Illinois at Urbana-Champaign, Urbana, IL, USA","institution_ids":["https://openalex.org/I157725225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101569677","display_name":"Xiaohua Hu","orcid":"https://orcid.org/0000-0001-6942-490X"},"institutions":[{"id":"https://openalex.org/I72816309","display_name":"Drexel University","ror":"https://ror.org/04bdffz58","country_code":"US","type":"education","lineage":["https://openalex.org/I72816309"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xiaohua Hu","raw_affiliation_strings":["Drexel University, PHILADELPHIA, PA, USA"],"affiliations":[{"raw_affiliation_string":"Drexel University, PHILADELPHIA, PA, USA","institution_ids":["https://openalex.org/I72816309"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100619287","display_name":"Zhengtao Yu","orcid":"https://orcid.org/0000-0002-4012-461X"},"institutions":[{"id":"https://openalex.org/I10660446","display_name":"Kunming University of Science and Technology","ror":"https://ror.org/00xyeez13","country_code":"CN","type":"education","lineage":["https://openalex.org/I10660446"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhengtao Yu","raw_affiliation_strings":["Kunming University of Science and Technology, Kunming, China"],"affiliations":[{"raw_affiliation_string":"Kunming University of Science and Technology, Kunming, China","institution_ids":["https://openalex.org/I10660446"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5023578096"],"corresponding_institution_ids":["https://openalex.org/I72816309"],"apc_list":null,"apc_paid":null,"fwci":3.4273,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.93424148,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"385","last_page":"394"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9979000091552734,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11550","display_name":"Text and Document Classification Technologies","score":0.996399998664856,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/submodular-set-function","display_name":"Submodular set function","score":0.8263881802558899},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7990003824234009},{"id":"https://openalex.org/keywords/automatic-summarization","display_name":"Automatic summarization","score":0.6719121932983398},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.6014394760131836},{"id":"https://openalex.org/keywords/product","display_name":"Product (mathematics)","score":0.569103479385376},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.5651546120643616},{"id":"https://openalex.org/keywords/set-function","display_name":"Set function","score":0.550327479839325},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.4807538688182831},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.464652955532074},{"id":"https://openalex.org/keywords/resource","display_name":"Resource (disambiguation)","score":0.44157516956329346},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.41767990589141846},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2672256827354431}],"concepts":[{"id":"https://openalex.org/C178621042","wikidata":"https://www.wikidata.org/wiki/Q7631710","display_name":"Submodular set function","level":2,"score":0.8263881802558899},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7990003824234009},{"id":"https://openalex.org/C170858558","wikidata":"https://www.wikidata.org/wiki/Q1394144","display_name":"Automatic summarization","level":2,"score":0.6719121932983398},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.6014394760131836},{"id":"https://openalex.org/C90673727","wikidata":"https://www.wikidata.org/wiki/Q901718","display_name":"Product (mathematics)","level":2,"score":0.569103479385376},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.5651546120643616},{"id":"https://openalex.org/C15312841","wikidata":"https://www.wikidata.org/wiki/Q1657198","display_name":"Set function","level":3,"score":0.550327479839325},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.4807538688182831},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.464652955532074},{"id":"https://openalex.org/C206345919","wikidata":"https://www.wikidata.org/wiki/Q20380951","display_name":"Resource (disambiguation)","level":2,"score":0.44157516956329346},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.41767990589141846},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2672256827354431},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2911451.2911544","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2911451.2911544","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":45,"referenced_works":["https://openalex.org/W127363045","https://openalex.org/W169330724","https://openalex.org/W644717764","https://openalex.org/W1581485226","https://openalex.org/W1680189815","https://openalex.org/W1962684803","https://openalex.org/W1972594981","https://openalex.org/W1973430024","https://openalex.org/W1980813323","https://openalex.org/W1996816151","https://openalex.org/W2000246295","https://openalex.org/W2014258320","https://openalex.org/W2016802218","https://openalex.org/W2034771957","https://openalex.org/W2044429219","https://openalex.org/W2046797483","https://openalex.org/W2062270497","https://openalex.org/W2080825533","https://openalex.org/W2083305840","https://openalex.org/W2093514947","https://openalex.org/W2102394389","https://openalex.org/W2107787911","https://openalex.org/W2108646579","https://openalex.org/W2133750501","https://openalex.org/W2141403143","https://openalex.org/W2143409774","https://openalex.org/W2144933361","https://openalex.org/W2145955806","https://openalex.org/W2147308966","https://openalex.org/W2154970197","https://openalex.org/W2160409620","https://openalex.org/W2170694635","https://openalex.org/W2234701313","https://openalex.org/W2250571015","https://openalex.org/W2250794458","https://openalex.org/W2252143362","https://openalex.org/W2400255467","https://openalex.org/W2612769033","https://openalex.org/W2949567784","https://openalex.org/W3138773240","https://openalex.org/W4205184193","https://openalex.org/W4245107743","https://openalex.org/W4250053866","https://openalex.org/W6682631176","https://openalex.org/W6691989917"],"related_works":["https://openalex.org/W2963844234","https://openalex.org/W2803250016","https://openalex.org/W4313349761","https://openalex.org/W2382791850","https://openalex.org/W2963719189","https://openalex.org/W2775660632","https://openalex.org/W2999146726","https://openalex.org/W3208987086","https://openalex.org/W2923536170","https://openalex.org/W1773145033"],"abstract_inverted_index":{"Product":[0],"reviews":[1,18,182],"have":[2,105],"become":[3],"an":[4,172],"important":[5],"resource":[6],"for":[7,22,193,200],"customers":[8,23,38],"before":[9,52],"they":[10,53,96,104],"make":[11,28],"purchase":[12],"decisions.":[13],"However,":[14],"the":[15,44,55,100,109,149,152,158,188],"abundance":[16],"of":[17,47,74,119,154,176],"makes":[19],"it":[20],"difficult":[21],"to":[24,36,41,70,78,131,138,147],"digest":[25],"them":[26],"and":[27,65,95,122,167],"informed":[29],"choices.":[30],"In":[31,57,82],"our":[32],"study,":[33],"we":[34,68,112],"aim":[35,69],"help":[37],"who":[39],"want":[40],"quickly":[42],"capture":[43],"main":[45],"idea":[46],"a":[48,72,80,90,114,139,144],"lengthy":[49],"product":[50,181],"review":[51,63,92,101],"read":[54,99],"details.":[56],"contrast":[58],"with":[59,151],"existing":[60],"work":[61],"on":[62,180],"analysis":[64],"document":[66],"summarization,":[67],"retrieve":[71],"set":[73,145,163],"real-world":[75],"user":[76],"questions":[77,89,107,134,150,196],"summarize":[79],"review.":[81,140],"this":[83],"way,":[84],"users":[85],"would":[86],"know":[87],"what":[88],"given":[91],"can":[93],"address":[94],"may":[97],"further":[98],"only":[102],"if":[103],"similar":[106],"about":[108],"product.":[110],"Specifically,":[111],"design":[113,143],"two-stage":[115],"approach":[116,190],"which":[117,169],"consists":[118],"question":[120,123,160],"retrieval":[121,129],"diversification.":[124],"We":[125,141],"first":[126],"propose":[127],"probabilistic":[128],"models":[130],"locate":[132],"candidate":[133],"that":[135,187,197],"are":[136,198],"relevant":[137],"then":[142],"function":[146,164],"re-rank":[148],"goal":[153],"rewarding":[155],"diversity":[156],"in":[157,171],"final":[159],"set.":[161],"The":[162],"satisfies":[165],"submodularity":[166],"monotonicity,":[168],"results":[170],"efficient":[173],"greedy":[174],"algorithm":[175],"submodular":[177],"optimization.":[178],"Evaluation":[179],"from":[183],"two":[184],"categories":[185],"shows":[186],"proposed":[189],"is":[191],"effective":[192],"discovering":[194],"meaningful":[195],"representative":[199],"individual":[201],"reviews.":[202]},"counts_by_year":[{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":5},{"year":2016,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
