{"id":"https://openalex.org/W4290877361","doi":"https://doi.org/10.1145/3534678.3542614","title":"Modern Theoretical Tools for Designing Information Retrieval System","display_name":"Modern Theoretical Tools for Designing Information Retrieval System","publication_year":2022,"publication_date":"2022-08-12","ids":{"openalex":"https://openalex.org/W4290877361","doi":"https://doi.org/10.1145/3534678.3542614"},"language":"en","primary_location":{"id":"doi:10.1145/3534678.3542614","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3534678.3542614","pdf_url":null,"source":{"id":"https://openalex.org/S4363608767","display_name":"Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery 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 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining","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/A5101922254","display_name":"Da Xu","orcid":"https://orcid.org/0000-0001-7599-2815"},"institutions":[{"id":"https://openalex.org/I1330693074","display_name":"Walmart (United States)","ror":"https://ror.org/04j0gge90","country_code":"US","type":"company","lineage":["https://openalex.org/I1330693074"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Da Xu","raw_affiliation_strings":["Walmart Labs, Sunnyvale, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Walmart Labs, Sunnyvale, CA, USA","institution_ids":["https://openalex.org/I1330693074"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5075057665","display_name":"Chuanwei Ruan","orcid":"https://orcid.org/0009-0004-2307-0391"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chuanwei Ruan","raw_affiliation_strings":["Instacart, San Francisco, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Instacart, San Francisco, CA, USA","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2696,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.4000306,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"4842","last_page":"4843"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10317","display_name":"Advanced Database Systems and Queries","score":0.9477999806404114,"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"}},"topics":[{"id":"https://openalex.org/T10317","display_name":"Advanced Database Systems and Queries","score":0.9477999806404114,"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/T11106","display_name":"Data Management and Algorithms","score":0.923799991607666,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T12292","display_name":"Graph Theory and Algorithms","score":0.9103000164031982,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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":0.7805635333061218},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.6518356800079346},{"id":"https://openalex.org/keywords/human\u2013computer-information-retrieval","display_name":"Human\u2013computer information retrieval","score":0.5003528594970703},{"id":"https://openalex.org/keywords/information-system","display_name":"Information system","score":0.4343741536140442},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.349007785320282},{"id":"https://openalex.org/keywords/search-engine","display_name":"Search engine","score":0.1712997555732727},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.10619819164276123}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7805635333061218},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.6518356800079346},{"id":"https://openalex.org/C90288658","wikidata":"https://www.wikidata.org/wiki/Q3318149","display_name":"Human\u2013computer information retrieval","level":3,"score":0.5003528594970703},{"id":"https://openalex.org/C180198813","wikidata":"https://www.wikidata.org/wiki/Q121182","display_name":"Information system","level":2,"score":0.4343741536140442},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.349007785320282},{"id":"https://openalex.org/C97854310","wikidata":"https://www.wikidata.org/wiki/Q19541","display_name":"Search engine","level":2,"score":0.1712997555732727},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10619819164276123},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3534678.3542614","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3534678.3542614","pdf_url":null,"source":{"id":"https://openalex.org/S4363608767","display_name":"Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery 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 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining","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":8,"referenced_works":["https://openalex.org/W2747329762","https://openalex.org/W2822752092","https://openalex.org/W2885305518","https://openalex.org/W3124308904","https://openalex.org/W3170046004","https://openalex.org/W3210749445","https://openalex.org/W4212774754","https://openalex.org/W6609871788"],"related_works":["https://openalex.org/W2389489168","https://openalex.org/W2384888906","https://openalex.org/W2355894329","https://openalex.org/W1571228783","https://openalex.org/W2501907530","https://openalex.org/W2101955803","https://openalex.org/W2376633828","https://openalex.org/W2154504357","https://openalex.org/W1597238586","https://openalex.org/W1531468617"],"abstract_inverted_index":{"In":[0,38],"the":[1,9,22,45,66,86],"past":[2],"decade,":[3],"deep":[4,97],"learning":[5],"has":[6,17,59],"significantly":[7],"reshaped":[8],"landscape":[10],"of":[11,25,53,90],"information":[12],"retrieval":[13],"(IR).":[14],"The":[15],"community":[16,68],"recently":[18],"begun":[19],"to":[20,32,64,73],"notice":[21],"potential":[23],"dangers":[24],"overusing":[26],"less-understood":[27],"mechanisms":[28],"and":[29,35,50,70,78,102,108],"over-simplified":[30],"assumptions":[31],"learn":[33],"patterns":[34],"make":[36],"decisions.":[37],"particular,":[39],"there":[40],"is":[41],"growing":[42],"concerns":[43],"on":[44,85],"interpretation,":[46],"reliability,":[47],"social":[48],"impact,":[49],"long-term":[51],"utility":[52],"real-world":[54],"IR":[55,67,92],"systems.":[56],"Therefore,":[57],"it":[58],"become":[60],"a":[61],"pressing":[62],"issue":[63],"bring":[65],"comprehensive":[69],"systematic":[71],"tools":[72],"understand":[74],"empirical":[75],"domain":[76],"solutions":[77],"motivate":[79],"principled":[80],"design":[81],"ideas.":[82],"We":[83],"focus":[84],"three":[87],"pillar":[88],"stones":[89],"modern":[91],"systems:":[93],"pattern":[94],"recognition":[95],"with":[96],"learning,":[98],"causal":[99],"inference":[100],"analysis,":[101],"online":[103],"decision":[104],"making":[105],"(with":[106],"bandits":[107],"reinforcement":[109],"learning).":[110],"Our":[111],"objectives":[112],"are":[113],"as":[114],"follows.":[115]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-30T17:31:21.811387","created_date":"2025-10-10T00:00:00"}
