{"id":"https://openalex.org/W2921007645","doi":"https://doi.org/10.1109/icosc.2019.8665616","title":"Targeted Solicitation of Product Reviews","display_name":"Targeted Solicitation of Product Reviews","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2921007645","doi":"https://doi.org/10.1109/icosc.2019.8665616","mag":"2921007645"},"language":"en","primary_location":{"id":"doi:10.1109/icosc.2019.8665616","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icosc.2019.8665616","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE 13th International Conference on Semantic Computing (ICSC)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5068010521","display_name":"Nhat Le","orcid":"https://orcid.org/0000-0001-9406-8716"},"institutions":[{"id":"https://openalex.org/I103635307","display_name":"University of California, Riverside","ror":"https://ror.org/03nawhv43","country_code":"US","type":"education","lineage":["https://openalex.org/I103635307"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Nhat X.T. Le","raw_affiliation_strings":["Department of Computer Science & Engineering, University of California, Riverside"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science & Engineering, University of California, Riverside","institution_ids":["https://openalex.org/I103635307"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055226101","display_name":"Ryan Rivas","orcid":"https://orcid.org/0000-0001-5590-0274"},"institutions":[{"id":"https://openalex.org/I103635307","display_name":"University of California, Riverside","ror":"https://ror.org/03nawhv43","country_code":"US","type":"education","lineage":["https://openalex.org/I103635307"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ryan Rivas","raw_affiliation_strings":["Department of Computer Science & Engineering, University of California, Riverside"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science & Engineering, University of California, Riverside","institution_ids":["https://openalex.org/I103635307"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083571144","display_name":"James M. Flegal","orcid":"https://orcid.org/0000-0002-9960-8942"},"institutions":[{"id":"https://openalex.org/I103635307","display_name":"University of California, Riverside","ror":"https://ror.org/03nawhv43","country_code":"US","type":"education","lineage":["https://openalex.org/I103635307"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"James M. Flegal","raw_affiliation_strings":["Department of Statistics, University of California, Riverside"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Statistics, University of California, Riverside","institution_ids":["https://openalex.org/I103635307"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5113814074","display_name":"Vagelis Hristidis","orcid":"https://orcid.org/0000-0001-8679-4988"},"institutions":[{"id":"https://openalex.org/I103635307","display_name":"University of California, Riverside","ror":"https://ror.org/03nawhv43","country_code":"US","type":"education","lineage":["https://openalex.org/I103635307"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Vagelis Hristidis","raw_affiliation_strings":["Department of Computer Science & Engineering, University of California, Riverside"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science & Engineering, University of California, Riverside","institution_ids":["https://openalex.org/I103635307"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I103635307"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0150568,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"308","last_page":"315"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9987000226974487,"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":0.9987000226974487,"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":0.9976999759674072,"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/T10028","display_name":"Topic Modeling","score":0.9947999715805054,"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/computer-science","display_name":"Computer science","score":0.566770613193512},{"id":"https://openalex.org/keywords/product","display_name":"Product (mathematics)","score":0.5273450613021851},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11653447151184082}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.566770613193512},{"id":"https://openalex.org/C90673727","wikidata":"https://www.wikidata.org/wiki/Q901718","display_name":"Product (mathematics)","level":2,"score":0.5273450613021851},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11653447151184082},{"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:10.1109/icosc.2019.8665616","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icosc.2019.8665616","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE 13th International Conference on Semantic Computing (ICSC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":39,"referenced_works":["https://openalex.org/W66373487","https://openalex.org/W1517771839","https://openalex.org/W1607658325","https://openalex.org/W1964613733","https://openalex.org/W1999615887","https://openalex.org/W2012662675","https://openalex.org/W2047756776","https://openalex.org/W2055049468","https://openalex.org/W2081375810","https://openalex.org/W2084046180","https://openalex.org/W2099686863","https://openalex.org/W2107894013","https://openalex.org/W2113459411","https://openalex.org/W2128507180","https://openalex.org/W2131744502","https://openalex.org/W2147962921","https://openalex.org/W2154970197","https://openalex.org/W2159457224","https://openalex.org/W2160660844","https://openalex.org/W2166706824","https://openalex.org/W2168405694","https://openalex.org/W2170973209","https://openalex.org/W2549476280","https://openalex.org/W2949998441","https://openalex.org/W2952723479","https://openalex.org/W2952729433","https://openalex.org/W3093419064","https://openalex.org/W3121659628","https://openalex.org/W3141714916","https://openalex.org/W3146306708","https://openalex.org/W4248506559","https://openalex.org/W4300996741","https://openalex.org/W6630938537","https://openalex.org/W6676984168","https://openalex.org/W6679076926","https://openalex.org/W6679775712","https://openalex.org/W6682449736","https://openalex.org/W6685158001","https://openalex.org/W6764146914"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052","https://openalex.org/W4402327032","https://openalex.org/W2382290278"],"abstract_inverted_index":{"Customer":[0],"reviews":[1,33,110,118],"have":[2,116],"become":[3],"an":[4,187],"essential":[5],"resource":[6],"when":[7,37],"people":[8],"search":[9],"for":[10,94],"goods":[11],"or":[12],"services":[13],"on":[14,201,209],"the":[15,67,162],"Internet.":[16],"Previous":[17],"work":[18],"has":[19],"shown":[20],"that":[21,80,100,126,214],"reducing":[22],"a":[23,40,59,105,167],"product's":[24,41],"uncertainty":[25,178,205,222],"is":[26,87,99],"critical":[27],"to":[28,49,73,119,141,151,156,159,173,185,198,218,224],"its":[29],"purchase":[30],"decision.":[31],"Thus,":[32],"are":[34,55,139],"more":[35],"effective":[36],"they":[38],"reduce":[39],"uncertainty.":[42],"Existing":[43],"e-commerce":[44],"platforms":[45],"typically":[46],"ask":[47,157],"users":[48,138,158],"write":[50],"free-form":[51],"text":[52],"reviews,":[53],"which":[54,136,154],"sometimes":[56],"augmented":[57],"by":[58,133],"small":[60],"set":[61],"of":[62,84,109,166],"predefined":[63],"questions,":[64],"e.g.,":[65],"\u201crate":[66],"product":[68,102],"description's":[69],"accuracy":[70],"from":[71],"1":[72],"5.\u201d":[74],"In":[75],"this":[76,81,145],"paper,":[77],"we":[78,124,127,147,181],"argue":[79],"\u201cpassive\u201d":[82],"style":[83],"review":[85,131,164,176,203,220,231],"solicitation":[86],"suboptimal":[88],"in":[89],"achieving":[90],"low-uncertainty":[91],"\u201creview":[92],"profiles\u201d":[93],"products.":[95],"Its":[96],"key":[97],"drawback":[98],"some":[101],"aspects":[103,113,137,155],"receive":[104],"very":[106],"large":[107],"number":[108],"while":[111],"other":[112],"do":[114],"not":[115],"enough":[117],"draw":[120],"confident":[121],"conclusions.":[122],"Therefore,":[123],"hypothesize":[125],"can":[128],"achieve":[129],"lower-uncertainty":[130],"profiles":[132],"carefully":[134],"selecting":[135],"asked":[140],"rate.":[142],"To":[143],"test":[144],"hypothesis,":[146],"propose":[148],"various":[149],"techniques":[150,197],"dynamically":[152],"select":[153],"rate":[160],"given":[161],"current":[163],"profile":[165,177,204,221],"product.":[168],"We":[169,191],"use":[170],"Bayesian":[171,183],"principles":[172],"define":[174],"reasonable":[175],"measures;":[179],"specifically,":[180],"apply":[182],"inference":[184],"measure":[186],"aspect's":[188],"rating":[189],"variance.":[190],"compare":[192],"our":[193,215],"proposed":[194],"aspect":[195,225],"selection":[196,226],"several":[199,202],"baselines":[200,227],"measures.":[206],"Experimental":[207],"results":[208],"two":[210],"real-world":[211],"datasets":[212],"show":[213],"methods":[216],"lead":[217],"better":[219],"compared":[223],"and":[228],"traditional":[229],"passive":[230],"solicitations.":[232]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}