{"id":"https://openalex.org/W4388936977","doi":"https://doi.org/10.1109/icccnt56998.2023.10307520","title":"BigBasket Fairness Analysis for Searched Outputs","display_name":"BigBasket Fairness Analysis for Searched Outputs","publication_year":2023,"publication_date":"2023-07-06","ids":{"openalex":"https://openalex.org/W4388936977","doi":"https://doi.org/10.1109/icccnt56998.2023.10307520"},"language":"en","primary_location":{"id":"doi:10.1109/icccnt56998.2023.10307520","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icccnt56998.2023.10307520","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT)","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/A5061352629","display_name":"Deepak Kumar","orcid":"https://orcid.org/0000-0001-6967-4263"},"institutions":[{"id":"https://openalex.org/I863896202","display_name":"Delhi Technological University","ror":"https://ror.org/01ztcvt22","country_code":"IN","type":"education","lineage":["https://openalex.org/I863896202"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Deepak Kumar","raw_affiliation_strings":["Delhi Technological University,Dept. of Computer Science and Engineering,New Delhi,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Delhi Technological University,Dept. of Computer Science and Engineering,New Delhi,India","institution_ids":["https://openalex.org/I863896202"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061352629","display_name":"Deepak Kumar","orcid":"https://orcid.org/0000-0001-6967-4263"},"institutions":[{"id":"https://openalex.org/I863896202","display_name":"Delhi Technological University","ror":"https://ror.org/01ztcvt22","country_code":"IN","type":"education","lineage":["https://openalex.org/I863896202"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Deepak Kumar","raw_affiliation_strings":["Delhi Technological University,Dept. of Computer Science and Engineering,New Delhi,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Delhi Technological University,Dept. of Computer Science and Engineering,New Delhi,India","institution_ids":["https://openalex.org/I863896202"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087769906","display_name":"Shashank Pratap Singh","orcid":null},"institutions":[{"id":"https://openalex.org/I863896202","display_name":"Delhi Technological University","ror":"https://ror.org/01ztcvt22","country_code":"IN","type":"education","lineage":["https://openalex.org/I863896202"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Shashank Pratap Singh","raw_affiliation_strings":["Delhi Technological University,Dept. of Computer Science and Engineering,New Delhi,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Delhi Technological University,Dept. of Computer Science and Engineering,New Delhi,India","institution_ids":["https://openalex.org/I863896202"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5064730469","display_name":"Garima Chhikara","orcid":"https://orcid.org/0009-0008-0268-9426"},"institutions":[{"id":"https://openalex.org/I863896202","display_name":"Delhi Technological University","ror":"https://ror.org/01ztcvt22","country_code":"IN","type":"education","lineage":["https://openalex.org/I863896202"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Garima Chhikara","raw_affiliation_strings":["Delhi Technological University,Dept. of Computer Science and Engineering,New Delhi,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Delhi Technological University,Dept. of Computer Science and Engineering,New Delhi,India","institution_ids":["https://openalex.org/I863896202"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I863896202"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11161","display_name":"Consumer Market Behavior and Pricing","score":0.996999979019165,"subfield":{"id":"https://openalex.org/subfields/1406","display_name":"Marketing"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11161","display_name":"Consumer Market Behavior and Pricing","score":0.996999979019165,"subfield":{"id":"https://openalex.org/subfields/1406","display_name":"Marketing"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11045","display_name":"Privacy, Security, and Data Protection","score":0.9952999949455261,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11437","display_name":"Digital Platforms and Economics","score":0.9909999966621399,"subfield":{"id":"https://openalex.org/subfields/1408","display_name":"Strategy and Management"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.8361809253692627},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7610135078430176},{"id":"https://openalex.org/keywords/popularity","display_name":"Popularity","score":0.7323083281517029},{"id":"https://openalex.org/keywords/transparency","display_name":"Transparency (behavior)","score":0.638638973236084},{"id":"https://openalex.org/keywords/learning-to-rank","display_name":"Learning to rank","score":0.5566087961196899},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5363442301750183},{"id":"https://openalex.org/keywords/relevance","display_name":"Relevance (law)","score":0.49436497688293457},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.4824162721633911},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.47029873728752136},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4601505398750305},{"id":"https://openalex.org/keywords/product","display_name":"Product (mathematics)","score":0.45352703332901},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3471347987651825},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.33299657702445984},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11928585171699524},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.08629682660102844}],"concepts":[{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.8361809253692627},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7610135078430176},{"id":"https://openalex.org/C2780586970","wikidata":"https://www.wikidata.org/wiki/Q1357284","display_name":"Popularity","level":2,"score":0.7323083281517029},{"id":"https://openalex.org/C2780233690","wikidata":"https://www.wikidata.org/wiki/Q535347","display_name":"Transparency (behavior)","level":2,"score":0.638638973236084},{"id":"https://openalex.org/C86037889","wikidata":"https://www.wikidata.org/wiki/Q4330127","display_name":"Learning to rank","level":3,"score":0.5566087961196899},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5363442301750183},{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.49436497688293457},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.4824162721633911},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.47029873728752136},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4601505398750305},{"id":"https://openalex.org/C90673727","wikidata":"https://www.wikidata.org/wiki/Q901718","display_name":"Product (mathematics)","level":2,"score":0.45352703332901},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3471347987651825},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.33299657702445984},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11928585171699524},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.08629682660102844},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"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/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","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},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icccnt56998.2023.10307520","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icccnt56998.2023.10307520","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT)","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":23,"referenced_works":["https://openalex.org/W2143117649","https://openalex.org/W2544318541","https://openalex.org/W2607725432","https://openalex.org/W2911936302","https://openalex.org/W2913539872","https://openalex.org/W2950173087","https://openalex.org/W2963104135","https://openalex.org/W3092103025","https://openalex.org/W3103891807","https://openalex.org/W3116873649","https://openalex.org/W3152757293","https://openalex.org/W3156001311","https://openalex.org/W3158895417","https://openalex.org/W4212951676","https://openalex.org/W4232721352","https://openalex.org/W4280598593","https://openalex.org/W4282027681","https://openalex.org/W4289305410","https://openalex.org/W4300482433","https://openalex.org/W4307827411","https://openalex.org/W6679739311","https://openalex.org/W6755557332","https://openalex.org/W6838760493"],"related_works":["https://openalex.org/W2150136235","https://openalex.org/W2053591227","https://openalex.org/W2581240705","https://openalex.org/W3127142483","https://openalex.org/W2041353081","https://openalex.org/W2568183987","https://openalex.org/W4385565564","https://openalex.org/W2898073868","https://openalex.org/W2138488530","https://openalex.org/W4390446658"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3],"fairness":[4,50,54],"analysis":[5],"of":[6,10,37,106,152],"the":[7,27,45,60,67,73,112,122,148],"ranked":[8],"outputs":[9],"BigBasket":[11],"website.":[12],"Using":[13],"live":[14],"data":[15],"set":[16],"and":[17,34,55,63,78,92,103,117,126,138,145],"by":[18],"applying":[19],"rKL,":[20],"rRD,":[21],"rND,":[22],"nDCG.":[23],"We":[24,43,58,70,94,109],"examine":[25],"whether":[26],"ranking":[28,46,74,113],"algorithms":[29,47,75,114],"treat":[30],"all":[31],"products,sellers":[32],"fairly":[33],"equally,":[35],"regardless":[36],"their":[38],"demographic":[39],"or":[40],"other":[41],"characteristics.":[42],"analyzed":[44],"using":[48],"various":[49,83],"metrics,":[51],"including":[52],"group":[53],"individual":[56],"fairness.":[57],"identified":[59],"key":[61],"features":[62],"criteria":[64],"that":[65,72,111],"influence":[66],"product":[68,87],"rankings.":[69],"find":[71],"are":[76,115],"complex":[77],"multifaceted,":[79],"taking":[80],"into":[81],"account":[82],"factors":[84],"such":[85],"as":[86],"relevance,":[88],"popularity,":[89],"ratings,":[90],"reviews,":[91],"pricing.":[93],"applied":[95],"different":[96],"measures":[97],"to":[98,121],"several":[99],"real-time":[100],"scraped":[101],"data-set":[102],"detected":[104],"cases":[105],"bias.":[107],"Additionally,":[108],"observed":[110],"dynamic":[116],"adaptive,":[118],"constantly":[119],"adjusting":[120],"changing":[123],"user":[124],"preferences":[125],"market":[127],"trends.":[128],"Our":[129],"findings":[130],"have":[131],"significant":[132],"implications":[133],"for":[134],"e-commerce":[135],"platforms,":[136],"regulators,":[137],"researchers":[139],"interested":[140],"in":[141,147],"promoting":[142],"fairness,":[143],"transparency,":[144],"diversity":[146],"online":[149],"marketplaces.The":[150],"implementation":[151],"this":[153],"work":[154],"is":[155],"available":[156],"at":[157],"https://github.com/deep9069/Bigbasket-Fairness-analysis-Btech-Projec.":[158]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}