{"id":"https://openalex.org/W4387846220","doi":"https://doi.org/10.1145/3583780.3615481","title":"Graph Learning for Exploratory Query Suggestions in an Instant Search System","display_name":"Graph Learning for Exploratory Query Suggestions in an Instant Search System","publication_year":2023,"publication_date":"2023-10-21","ids":{"openalex":"https://openalex.org/W4387846220","doi":"https://doi.org/10.1145/3583780.3615481"},"language":"en","primary_location":{"id":"doi:10.1145/3583780.3615481","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3583780.3615481","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 32nd 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/A5045705674","display_name":"Enrico Palumbo","orcid":"https://orcid.org/0000-0003-3898-7480"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Enrico Palumbo","raw_affiliation_strings":["Spotify, Turin, Italy"],"affiliations":[{"raw_affiliation_string":"Spotify, Turin, Italy","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114706123","display_name":"Andreas Damianou","orcid":"https://orcid.org/0009-0007-7194-4155"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Andreas Damianou","raw_affiliation_strings":["Spotify, Cambridge, United Kingdom"],"affiliations":[{"raw_affiliation_string":"Spotify, Cambridge, United Kingdom","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100783310","display_name":"Alice Wang","orcid":"https://orcid.org/0000-0001-8827-3780"},"institutions":[{"id":"https://openalex.org/I4210122154","display_name":"Photon Spot (United States)","ror":"https://ror.org/01yxc0v75","country_code":"US","type":"company","lineage":["https://openalex.org/I4210122154"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Alice Wang","raw_affiliation_strings":["Spotify, New York, USA"],"affiliations":[{"raw_affiliation_string":"Spotify, New York, USA","institution_ids":["https://openalex.org/I4210122154"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113029038","display_name":"Alva Liu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Alva Liu","raw_affiliation_strings":["Spotify, Farsta, Sweden"],"affiliations":[{"raw_affiliation_string":"Spotify, Farsta, Sweden","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042586538","display_name":"Ghazal Fazelnia","orcid":"https://orcid.org/0000-0002-8833-8465"},"institutions":[{"id":"https://openalex.org/I4210122154","display_name":"Photon Spot (United States)","ror":"https://ror.org/01yxc0v75","country_code":"US","type":"company","lineage":["https://openalex.org/I4210122154"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ghazal Fazelnia","raw_affiliation_strings":["Spotify, New York, USA"],"affiliations":[{"raw_affiliation_string":"Spotify, New York, USA","institution_ids":["https://openalex.org/I4210122154"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047541683","display_name":"Francesco Fabbri","orcid":"https://orcid.org/0000-0002-9631-1799"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Francesco Fabbri","raw_affiliation_strings":["Spotify, Barcelona, Spain"],"affiliations":[{"raw_affiliation_string":"Spotify, Barcelona, Spain","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103070072","display_name":"Rui Ferreira","orcid":"https://orcid.org/0009-0008-4953-7155"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Rui Ferreira","raw_affiliation_strings":["Spotify, London, United Kingdom"],"affiliations":[{"raw_affiliation_string":"Spotify, London, United Kingdom","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044165871","display_name":"Fabrizio Silvestri","orcid":"https://orcid.org/0000-0001-7669-9055"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Fabrizio Silvestri","raw_affiliation_strings":["Spotify, Rome, Italy"],"affiliations":[{"raw_affiliation_string":"Spotify, Rome, Italy","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066223470","display_name":"Hugues Bouchard","orcid":"https://orcid.org/0000-0003-2315-8268"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hugues Bouchard","raw_affiliation_strings":["Spotify, Barcelona, Spain"],"affiliations":[{"raw_affiliation_string":"Spotify, Barcelona, Spain","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084915697","display_name":"Claudia Hauff","orcid":"https://orcid.org/0000-0001-9879-6470"},"institutions":[{"id":"https://openalex.org/I4210163196","display_name":"Signify (Netherlands)","ror":"https://ror.org/0532vdr17","country_code":"NL","type":"company","lineage":["https://openalex.org/I4210163196"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Claudia Hauff","raw_affiliation_strings":["Spotify, Delft, Netherlands"],"affiliations":[{"raw_affiliation_string":"Spotify, Delft, Netherlands","institution_ids":["https://openalex.org/I4210163196"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002597222","display_name":"Mounia Lalmas","orcid":"https://orcid.org/0000-0002-3531-3096"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mounia Lalmas","raw_affiliation_strings":["Spotify, London, United Kingdom"],"affiliations":[{"raw_affiliation_string":"Spotify, London, United Kingdom","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078123101","display_name":"Ben Carterette","orcid":"https://orcid.org/0000-0001-9538-047X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ben Carterette","raw_affiliation_strings":["Spotify, Wilmington, USA"],"affiliations":[{"raw_affiliation_string":"Spotify, Wilmington, USA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020257829","display_name":"Praveen Chandar","orcid":"https://orcid.org/0009-0008-2199-2631"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Praveen Chandar","raw_affiliation_strings":["Spotify, Alexandria, USA"],"affiliations":[{"raw_affiliation_string":"Spotify, Alexandria, USA","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5093105898","display_name":"David Nyhan","orcid":"https://orcid.org/0009-0009-3580-765X"},"institutions":[{"id":"https://openalex.org/I4210122154","display_name":"Photon Spot (United States)","ror":"https://ror.org/01yxc0v75","country_code":"US","type":"company","lineage":["https://openalex.org/I4210122154"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"David Nyhan","raw_affiliation_strings":["Spotify, New York, USA"],"affiliations":[{"raw_affiliation_string":"Spotify, New York, USA","institution_ids":["https://openalex.org/I4210122154"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":14,"corresponding_author_ids":["https://openalex.org/A5045705674"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.8698,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.79371842,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"4780","last_page":"4786"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9991999864578247,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.9991999864578247,"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/T11478","display_name":"Caching and Content Delivery","score":0.9886999726295471,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T10203","display_name":"Recommender Systems and Techniques","score":0.9801999926567078,"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":0.8468197584152222},{"id":"https://openalex.org/keywords/web-search-query","display_name":"Web search query","score":0.7176687717437744},{"id":"https://openalex.org/keywords/web-query-classification","display_name":"Web query classification","score":0.7100649476051331},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.6857394576072693},{"id":"https://openalex.org/keywords/exploratory-search","display_name":"Exploratory search","score":0.6699943542480469},{"id":"https://openalex.org/keywords/query-expansion","display_name":"Query expansion","score":0.5387768149375916},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.507023811340332},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5061134696006775},{"id":"https://openalex.org/keywords/semantic-search","display_name":"Semantic search","score":0.49877429008483887},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.44180846214294434},{"id":"https://openalex.org/keywords/semantic-similarity","display_name":"Semantic similarity","score":0.4156975746154785},{"id":"https://openalex.org/keywords/query-language","display_name":"Query language","score":0.4148942232131958},{"id":"https://openalex.org/keywords/search-engine","display_name":"Search engine","score":0.4062216579914093},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.324060320854187},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.215254545211792}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8468197584152222},{"id":"https://openalex.org/C164120249","wikidata":"https://www.wikidata.org/wiki/Q995982","display_name":"Web search query","level":3,"score":0.7176687717437744},{"id":"https://openalex.org/C118689300","wikidata":"https://www.wikidata.org/wiki/Q7978614","display_name":"Web query classification","level":4,"score":0.7100649476051331},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.6857394576072693},{"id":"https://openalex.org/C2777866876","wikidata":"https://www.wikidata.org/wiki/Q5421358","display_name":"Exploratory search","level":2,"score":0.6699943542480469},{"id":"https://openalex.org/C99016210","wikidata":"https://www.wikidata.org/wiki/Q5488129","display_name":"Query expansion","level":2,"score":0.5387768149375916},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.507023811340332},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5061134696006775},{"id":"https://openalex.org/C166423231","wikidata":"https://www.wikidata.org/wiki/Q1891170","display_name":"Semantic search","level":3,"score":0.49877429008483887},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.44180846214294434},{"id":"https://openalex.org/C130318100","wikidata":"https://www.wikidata.org/wiki/Q2268914","display_name":"Semantic similarity","level":2,"score":0.4156975746154785},{"id":"https://openalex.org/C192028432","wikidata":"https://www.wikidata.org/wiki/Q845739","display_name":"Query language","level":2,"score":0.4148942232131958},{"id":"https://openalex.org/C97854310","wikidata":"https://www.wikidata.org/wiki/Q19541","display_name":"Search engine","level":2,"score":0.4062216579914093},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.324060320854187},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.215254545211792},{"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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3583780.3615481","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3583780.3615481","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 32nd ACM International Conference on Information and Knowledge Management","raw_type":"proceedings-article"},{"id":"pmh:oai:iris.uniroma1.it:11573/1699267","is_oa":false,"landing_page_url":"https://hdl.handle.net/11573/1699267","pdf_url":null,"source":{"id":"https://openalex.org/S4377196107","display_name":"IRIS Research product catalog (Sapienza University of Rome)","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":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320320300","display_name":"European Commission","ror":"https://ror.org/00k4n6c32"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W1532325895","https://openalex.org/W1972645849","https://openalex.org/W1982858363","https://openalex.org/W1990387666","https://openalex.org/W2018838261","https://openalex.org/W2037802158","https://openalex.org/W2045745608","https://openalex.org/W2049319105","https://openalex.org/W2069153192","https://openalex.org/W2086378526","https://openalex.org/W2124814993","https://openalex.org/W2150359335","https://openalex.org/W2150886314","https://openalex.org/W2154851992","https://openalex.org/W2160555926","https://openalex.org/W2170741935","https://openalex.org/W2551706664","https://openalex.org/W2593803794","https://openalex.org/W2612872092","https://openalex.org/W2788210317","https://openalex.org/W2897055093","https://openalex.org/W2907492528","https://openalex.org/W2911456401","https://openalex.org/W2913965637","https://openalex.org/W2962756421","https://openalex.org/W2963469388","https://openalex.org/W3003250542","https://openalex.org/W3094611092","https://openalex.org/W3104097132","https://openalex.org/W3207707577","https://openalex.org/W4246571544","https://openalex.org/W4290875860"],"related_works":["https://openalex.org/W2096359267","https://openalex.org/W3008917487","https://openalex.org/W2026738364","https://openalex.org/W2013069866","https://openalex.org/W2901901036","https://openalex.org/W2572349046","https://openalex.org/W3197639690","https://openalex.org/W2124814993","https://openalex.org/W4313418006","https://openalex.org/W2185998359"],"abstract_inverted_index":{"Search":[0],"systems":[1],"in":[2,178,221,243],"online":[3,222],"content":[4,25,48],"platforms":[5],"are":[6,34],"typically":[7,56],"biased":[8,89],"toward":[9,24],"a":[10,35,74,109,114,185,202,239],"minority":[11],"of":[12,22,102,146,164,187,201,209,246],"highly":[13,91],"consumed":[14],"items,":[15],"reflecting":[16],"the":[17,100,168,176,192,199,244],"most":[18],"common":[19],"user":[20,69],"behavior":[21],"navigating":[23],"that":[26,99,155,213],"is":[27,88],"already":[28],"familiar":[29],"and":[30,42,47,65,87,119,133,149,161,183,211,234],"popular.":[31],"Query":[32],"suggestions":[33,55,129,216],"powerful":[36],"tool":[37],"to":[38,43,125,158,191,218],"support":[39],"query":[40,54,103,128,215],"formulation":[41],"encourage":[44],"exploratory":[45,249],"search":[46,80,147,181,229,250],"discovery.":[49],"However,":[50],"classic":[51],"approaches":[52],"for":[53],"rely":[57],"either":[58],"on":[59,73,113,141,150,167,248],"semantic":[60,132],"similarity,":[61],"which":[62,82],"lacks":[63],"diversity":[64],"does":[66],"not":[67],"reflect":[68],"searching":[70],"behavior,":[71],"or":[72],"collaborative":[75,134],"similarity":[76],"measure":[77],"mined":[78],"from":[79,84],"logs,":[81],"suffers":[83],"data":[85],"sparsity":[86],"by":[90],"popular":[92],"queries.":[93],"In":[94],"this":[95],"work,":[96],"we":[97,197],"argue":[98],"task":[101,112],"suggestion":[104],"can":[105],"be":[106],"modelled":[107],"as":[108,225],"link":[110],"prediction":[111],"heterogeneous":[115],"graph":[116],"including":[117],"queries":[118,251],"documents,":[120],"enabling":[121],"Graph":[122],"Learning":[123],"methods":[124],"effectively":[126],"generate":[127],"encompassing":[130],"both":[131],"information.":[135],"We":[136,173],"perform":[137],"an":[138,142,159,179,219],"offline":[139],"evaluation":[140],"internal":[143],"Spotify":[144],"dataset":[145],"logs":[148],"two":[151],"public":[152],"datasets,":[153],"showing":[154],"node2vec":[156,214],"leads":[157],"accurate":[160],"diversified":[162],"set":[163,186],"results,":[165],"especially":[166],"large":[169,203],"scale":[170,204],"real-world":[171],"data.":[172],"then":[174],"describe":[175],"implementation":[177],"instant":[180],"scenario":[182],"discuss":[184],"additional":[188],"challenges":[189],"tied":[190],"specific":[193],"production":[194],"environment.":[195],"Finally,":[196],"report":[198],"results":[200,230],"A/B":[205],"test":[206],"involving":[207],"millions":[208],"users":[210],"prove":[212],"lead":[217],"increase":[220],"metrics":[223],"such":[224],"coverage":[226],"(+1.42%":[227],"shown":[228],"pages":[231],"with":[232,238],"suggestions)":[233],"engagement":[235],"(+1.21%":[236],"clicks),":[237],"specifically":[240],"notable":[241],"boost":[242],"number":[245],"clicks":[247],"(+9.37%).":[252]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":2}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2023-10-22T00:00:00"}
