{"id":"https://openalex.org/W4403577819","doi":"https://doi.org/10.1145/3627673.3679072","title":"A Supervised BERT Model for Identifying Core-Intent Bearing Phrases in e-Commerce Queries","display_name":"A Supervised BERT Model for Identifying Core-Intent Bearing Phrases in e-Commerce Queries","publication_year":2024,"publication_date":"2024-10-20","ids":{"openalex":"https://openalex.org/W4403577819","doi":"https://doi.org/10.1145/3627673.3679072"},"language":"en","primary_location":{"id":"doi:10.1145/3627673.3679072","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3627673.3679072","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 33rd ACM International Conference on Information and Knowledge Management","raw_type":"proceedings-article"},"type":"article","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/A5090389621","display_name":"Abhishek Sudhakar Deshmukh","orcid":"https://orcid.org/0009-0003-3860-6753"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Abhishek Sudhakar Deshmukh","raw_affiliation_strings":["eBay GmbH, Aachen, Germany"],"raw_orcid":"https://orcid.org/0009-0003-3860-6753","affiliations":[{"raw_affiliation_string":"eBay GmbH, Aachen, Germany","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5027895383","display_name":"Arnab Dutta","orcid":"https://orcid.org/0009-0006-4515-5294"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Arnab Dutta","raw_affiliation_strings":["eBay GmbH, Dreilinden, Germany"],"raw_orcid":"https://orcid.org/0009-0006-4515-5294","affiliations":[{"raw_affiliation_string":"eBay GmbH, Dreilinden, Germany","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5090389621"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.2806566,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"5558","last_page":"5559"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12016","display_name":"Web Data Mining and Analysis","score":0.9315000176429749,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T12016","display_name":"Web Data Mining and Analysis","score":0.9315000176429749,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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":0.7799574136734009},{"id":"https://openalex.org/keywords/core","display_name":"Core (optical fiber)","score":0.634192705154419},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.5463796257972717},{"id":"https://openalex.org/keywords/e-commerce","display_name":"E-commerce","score":0.5333618521690369},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.4517402946949005},{"id":"https://openalex.org/keywords/bearing","display_name":"Bearing (navigation)","score":0.4123050570487976},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.38965678215026855},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.2604060173034668}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7799574136734009},{"id":"https://openalex.org/C2164484","wikidata":"https://www.wikidata.org/wiki/Q5170150","display_name":"Core (optical fiber)","level":2,"score":0.634192705154419},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.5463796257972717},{"id":"https://openalex.org/C78597825","wikidata":"https://www.wikidata.org/wiki/Q484847","display_name":"E-commerce","level":2,"score":0.5333618521690369},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4517402946949005},{"id":"https://openalex.org/C199978012","wikidata":"https://www.wikidata.org/wiki/Q1273815","display_name":"Bearing (navigation)","level":2,"score":0.4123050570487976},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38965678215026855},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.2604060173034668},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3627673.3679072","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3627673.3679072","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 33rd ACM International Conference on Information and Knowledge Management","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2035937180","https://openalex.org/W3196220745","https://openalex.org/W2061308401","https://openalex.org/W4311624988","https://openalex.org/W4232403546","https://openalex.org/W2364348613","https://openalex.org/W3158538495","https://openalex.org/W2366782036","https://openalex.org/W2033726186","https://openalex.org/W3037331970"],"abstract_inverted_index":{"In":[0,38],"the":[1,26,44,59,90,100,149,176],"realm":[2],"of":[3,11,28,47,54,109,120],"e-Commerce,":[4],"a":[5,35,52,94,106,133,161],"fundamental":[6],"problem":[7,77,84],"is":[8,17],"accurate":[9],"interpretation":[10],"users'":[12],"core":[13],"intent.":[14],"The":[15],"intent":[16,61,75,101],"often":[18],"subtly":[19],"expressed":[20],"implicitly":[21],"or":[22,31,127],"stated":[23],"explicitly":[24],"with":[25],"usage":[27],"verbose":[29],"tokens":[30,56,111],"key":[32],"phrases":[33,63,92],"in":[34,93,118,170],"user":[36],"query.":[37],"this":[39,72],"work,":[40],"we":[41,50,86,155],"focus":[42],"on":[43],"later":[45],"class":[46],"problems":[48],"where":[49],"identify":[51,141],"subset":[53],"query":[55,95,110,124,128,162],"which":[57,139,165],"are":[58,99],"primary":[60],"bearing":[62,102],"that":[64,88,97],"convey":[65],"explicit":[66],"intents.":[67],"We":[68,130],"did":[69],"not":[70],"solve":[71],"as":[73,112],"an":[74,80],"detection":[76,83,126],"but":[78],"rather":[79],"immutable":[81,91,113],"component":[82],"because":[85],"believe":[87],"discovering":[89],"entails":[96],"those":[98],"phrases.":[103],"Furthermore,":[104,154],"identifying":[105],"certain":[107],"set":[108],"ensures":[114],"better":[115],"downstream":[116],"processing":[117],"terms":[119],"unprecedented":[121],"token":[122],"handling,":[123],"category":[125],"rewrites.":[129],"have":[131],"developed":[132],"BERT":[134],"based":[135],"supervised":[136],"learned":[137],"model":[138],"can":[140],"core-intent":[142],"tokens,":[143],"thereby":[144],"improving":[145],"F1":[146],"score":[147],"over":[148,152],"baseline":[150],"by":[151],"35%.":[153],"integrated":[156],"our":[157],"proposed":[158],"approach":[159],"for":[160],"recovery":[163],"strategy":[164],"produces":[166],"approximately":[167],"11.9%":[168],"improvement":[169],"offline":[171],"relevance":[172],"scores":[173],"compared":[174],"to":[175],"production":[177],"model.":[178]},"counts_by_year":[],"updated_date":"2025-12-27T23:08:20.325037","created_date":"2025-10-10T00:00:00"}