{"id":"https://openalex.org/W4212905162","doi":"https://doi.org/10.1145/3488560.3498456","title":"ANTHEM","display_name":"ANTHEM","publication_year":2022,"publication_date":"2022-02-11","ids":{"openalex":"https://openalex.org/W4212905162","doi":"https://doi.org/10.1145/3488560.3498456"},"language":"en","primary_location":{"id":"doi:10.1145/3488560.3498456","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3488560.3498456","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3488560.3498456","source":{"id":"https://openalex.org/S4363608885","display_name":"Proceedings of the Fifteenth ACM International Conference on Web Search and Data Mining","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Fifteenth ACM International Conference on Web Search and Data Mining","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3488560.3498456","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5020049156","display_name":"Nurendra Choudhary","orcid":"https://orcid.org/0000-0002-4471-8968"},"institutions":[{"id":"https://openalex.org/I859038795","display_name":"Virginia Tech","ror":"https://ror.org/02smfhw86","country_code":"US","type":"education","lineage":["https://openalex.org/I859038795"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Nurendra Choudhary","raw_affiliation_strings":["Virginia Tech, Arlington, VA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Virginia Tech, Arlington, VA, USA","institution_ids":["https://openalex.org/I859038795"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081428282","display_name":"Nikhil Rao","orcid":"https://orcid.org/0000-0003-0281-932X"},"institutions":[{"id":"https://openalex.org/I1311688040","display_name":"Amazon (United States)","ror":"https://ror.org/04mv4n011","country_code":"US","type":"company","lineage":["https://openalex.org/I1311688040"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Nikhil Rao","raw_affiliation_strings":["Amazon, Palo Alto, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Amazon, Palo Alto, CA, USA","institution_ids":["https://openalex.org/I1311688040"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005433975","display_name":"Sumeet Katariya","orcid":"https://orcid.org/0009-0008-1807-4215"},"institutions":[{"id":"https://openalex.org/I1311688040","display_name":"Amazon (United States)","ror":"https://ror.org/04mv4n011","country_code":"US","type":"company","lineage":["https://openalex.org/I1311688040"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sumeet Katariya","raw_affiliation_strings":["Amazon, Palo Alto, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Amazon, Palo Alto, CA, USA","institution_ids":["https://openalex.org/I1311688040"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021259488","display_name":"Karthik Subbian","orcid":"https://orcid.org/0000-0002-9023-2248"},"institutions":[{"id":"https://openalex.org/I1311688040","display_name":"Amazon (United States)","ror":"https://ror.org/04mv4n011","country_code":"US","type":"company","lineage":["https://openalex.org/I1311688040"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Karthik Subbian","raw_affiliation_strings":["Amazon, Palo Alto, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Amazon, Palo Alto, CA, USA","institution_ids":["https://openalex.org/I1311688040"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001022750","display_name":"Chandan K. Reddy","orcid":"https://orcid.org/0000-0003-2839-3662"},"institutions":[{"id":"https://openalex.org/I1311688040","display_name":"Amazon (United States)","ror":"https://ror.org/04mv4n011","country_code":"US","type":"company","lineage":["https://openalex.org/I1311688040"]},{"id":"https://openalex.org/I859038795","display_name":"Virginia Tech","ror":"https://ror.org/02smfhw86","country_code":"US","type":"education","lineage":["https://openalex.org/I859038795"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chandan K. Reddy","raw_affiliation_strings":["Virginia Tech &amp; Amazon, Arlington, VA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Virginia Tech &amp; Amazon, Arlington, VA, USA","institution_ids":["https://openalex.org/I1311688040","https://openalex.org/I859038795"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"161","last_page":"171"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12016","display_name":"Web Data Mining and Analysis","score":0.9961000084877014,"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":0.9961000084877014,"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"}},{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.989300012588501,"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/T10286","display_name":"Information Retrieval and Search Behavior","score":0.9887999892234802,"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":0.8349385261535645},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.5955968499183655},{"id":"https://openalex.org/keywords/anthem","display_name":"Anthem","score":0.5591095089912415},{"id":"https://openalex.org/keywords/product","display_name":"Product (mathematics)","score":0.5189670920372009},{"id":"https://openalex.org/keywords/query-expansion","display_name":"Query expansion","score":0.41941896080970764},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.32299232482910156},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08767455816268921}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8349385261535645},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.5955968499183655},{"id":"https://openalex.org/C2780673261","wikidata":"https://www.wikidata.org/wiki/Q541947","display_name":"Anthem","level":2,"score":0.5591095089912415},{"id":"https://openalex.org/C90673727","wikidata":"https://www.wikidata.org/wiki/Q901718","display_name":"Product (mathematics)","level":2,"score":0.5189670920372009},{"id":"https://openalex.org/C99016210","wikidata":"https://www.wikidata.org/wiki/Q5488129","display_name":"Query expansion","level":2,"score":0.41941896080970764},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.32299232482910156},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08767455816268921},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","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":2,"locations":[{"id":"doi:10.1145/3488560.3498456","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3488560.3498456","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3488560.3498456","source":{"id":"https://openalex.org/S4363608885","display_name":"Proceedings of the Fifteenth ACM International Conference on Web Search and Data Mining","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Fifteenth ACM International Conference on Web Search and Data Mining","raw_type":"proceedings-article"},{"id":"pmh:oai:vtechworks.lib.vt.edu:10919/112213","is_oa":true,"landing_page_url":"http://hdl.handle.net/10919/112213","pdf_url":null,"source":{"id":"https://openalex.org/S4306400248","display_name":"VTechWorks (Virginia Tech)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I859038795","host_organization_name":"Virginia Tech","host_organization_lineage":["https://openalex.org/I859038795"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article - Refereed"}],"best_oa_location":{"id":"doi:10.1145/3488560.3498456","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3488560.3498456","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3488560.3498456","source":{"id":"https://openalex.org/S4363608885","display_name":"Proceedings of the Fifteenth ACM International Conference on Web Search and Data Mining","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Fifteenth ACM International Conference on Web Search and Data Mining","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4212905162.pdf","grobid_xml":"https://content.openalex.org/works/W4212905162.grobid-xml"},"referenced_works_count":27,"referenced_works":["https://openalex.org/W1532325895","https://openalex.org/W2023695356","https://openalex.org/W2136189984","https://openalex.org/W2138662031","https://openalex.org/W2171572695","https://openalex.org/W2186845332","https://openalex.org/W2341132943","https://openalex.org/W2405884322","https://openalex.org/W2489487449","https://openalex.org/W2493916176","https://openalex.org/W2538374209","https://openalex.org/W2539671052","https://openalex.org/W2648699835","https://openalex.org/W2750779823","https://openalex.org/W2783175414","https://openalex.org/W2918008835","https://openalex.org/W2945802750","https://openalex.org/W2964369530","https://openalex.org/W2998020421","https://openalex.org/W3034802203","https://openalex.org/W3040248848","https://openalex.org/W3080913646","https://openalex.org/W3102952580","https://openalex.org/W3103564003","https://openalex.org/W3115652744","https://openalex.org/W3122775348","https://openalex.org/W4241699713"],"related_works":["https://openalex.org/W3001245047","https://openalex.org/W1873153460","https://openalex.org/W2170059263","https://openalex.org/W850316024","https://openalex.org/W2044231962","https://openalex.org/W2945915803","https://openalex.org/W2969770061","https://openalex.org/W301348785","https://openalex.org/W2117230983","https://openalex.org/W4390861283"],"abstract_inverted_index":{"Product":[0],"search":[1,32,107,135,157,228],"is":[2],"a":[3,36,62,67,76,80,103,179,250],"fundamentally":[4],"challenging":[5],"problem":[6],"due":[7],"to":[8,25,51,69,85,122,129,146,153,171,181],"the":[9,15,27,134,139,148,164,172,186,192,198,215,243],"large-size":[10],"of":[11,17,30,144,166,188,200,221,233,245],"product":[12,49,106,131,227],"catalogues":[13],"and":[14,47,71,78,119,126,141,152,168,184],"complexity":[16],"extracting":[18],"semantic":[19,48,150],"information":[20,50],"from":[21,133,207],"products.":[22,56,195],"In":[23],"addition":[24],"this,":[26],"black-box":[28],"nature":[29],"most":[31],"systems":[33],"also":[34,241],"hamper":[35],"smooth":[37],"customer":[38],"experience.":[39],"Current":[40],"approaches":[41],"in":[42,92],"this":[43,93],"area":[44],"utilize":[45],"lexical":[46],"match":[52],"user":[53],"queries":[54],"against":[55],"However,":[57],"these":[58,90],"models":[59,110],"lack":[60],"(i)":[61],"hierarchical":[63],"query":[64,81,111,174,189,247,251],"representation,":[65],"(ii)":[66],"mechanism":[68,180],"detect":[70],"capture":[72,163],"inter-entity":[73,117,127,169],"relationships":[74],"within":[75],"query,":[77],"(iii)":[79],"composition":[82],"method":[83],"specific":[84],"e-commerce":[86,209],"domain.":[87],"To":[88],"address":[89],"challenges,":[91],"paper,":[94],"we":[95,177],"propose":[96],"an":[97,231],"AtteNTive":[98],"Hyperbolic":[99],"Entity":[100],"Model":[101],"(ANTHEM),":[102],"novel":[104],"attention-based":[105],"framework":[108],"that":[109],"entities":[112,125,190],"as":[113],"two-vector":[114],"hyperboloids,":[115],"learns":[116],"intersections":[118,128,170],"utilizes":[120,138],"attention":[121,161],"unionize":[123],"individual":[124],"predict":[130],"matches":[132],"space.":[136,175],"ANTHEM":[137,183],"first":[140],"second":[142],"vector":[143],"hyperboloids":[145],"determine":[147],"query's":[149],"position":[151],"tune":[154],"its":[155],"surrounding":[156],"volume,":[158],"respectively.":[159],"The":[160],"networks":[162],"significance":[165,187],"intra-entity":[167],"final":[173,193],"Additionally,":[176],"provide":[178],"comprehend":[182],"understand":[185],"towards":[191],"resultant":[194],"We":[196,240],"evaluate":[197],"performance":[199,224],"our":[201],"model":[202],"on":[203,214,237],"real":[204],"data":[205,217],"collected":[206],"popular":[208],"sites.":[210],"Our":[211],"experimental":[212],"study":[213],"offline":[216],"demonstrates":[218],"compelling":[219],"evidence":[220],"ANTHEM's":[222,246],"superior":[223],"over":[225],"state-of-the-art":[226],"methods":[229],"with":[230],"improvement":[232],"more":[234],"than":[235],"10%":[236],"various":[238],"metrics.":[239],"demonstrate":[242],"quality":[244],"encoder":[248],"using":[249],"matching":[252],"task.":[253]},"counts_by_year":[{"year":2022,"cited_by_count":3}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2022-02-24T00:00:00"}
