{"id":"https://openalex.org/W7128846876","doi":"https://doi.org/10.48550/arxiv.2602.11518","title":"KuaiSearch: An E-Commerce Search Dataset with Authentic Queries and Product Texts for Recall, Ranking, and Relevance","display_name":"KuaiSearch: An E-Commerce Search Dataset with Authentic Queries and Product Texts for Recall, Ranking, and Relevance","publication_year":2026,"publication_date":"2026-02-12","ids":{"openalex":"https://openalex.org/W7128846876","doi":"https://doi.org/10.48550/arxiv.2602.11518"},"language":null,"primary_location":{"id":"pmh:doi:10.48550/arxiv.2602.11518","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","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":"publisher-specific-oa","license_id":"https://openalex.org/licenses/publisher-specific-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},"type":"article","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":null,"any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5125888068","display_name":"Yupeng Li","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li, Yupeng","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5125946996","display_name":"Ben Chen","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chen, Ben","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5125964552","display_name":"Mingyue Cheng","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Cheng, Mingyue","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5144097216","display_name":"Zhiding Liu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liu, Zhiding","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080389196","display_name":"Xuxin Zhang","orcid":"https://orcid.org/0000-0001-9456-156X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhang, Xuxin","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5046590511","display_name":"Chenyi Lei","orcid":"https://orcid.org/0000-0001-6287-3673"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lei, Chenyi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.1108397,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10286","display_name":"Information Retrieval and Search Behavior","score":0.3357999920845032,"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/T10286","display_name":"Information Retrieval and Search Behavior","score":0.3357999920845032,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.12919999659061432,"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/T10203","display_name":"Recommender Systems and Techniques","score":0.06710000336170197,"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/relevance","display_name":"Relevance (law)","score":0.7172999978065491},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5580000281333923},{"id":"https://openalex.org/keywords/product","display_name":"Product (mathematics)","score":0.5579000115394592},{"id":"https://openalex.org/keywords/semantic-search","display_name":"Semantic search","score":0.5440000295639038},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.541100025177002},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.49300000071525574},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.46950000524520874}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7882999777793884},{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.7172999978065491},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.6736999750137329},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5580000281333923},{"id":"https://openalex.org/C90673727","wikidata":"https://www.wikidata.org/wiki/Q901718","display_name":"Product (mathematics)","level":2,"score":0.5579000115394592},{"id":"https://openalex.org/C166423231","wikidata":"https://www.wikidata.org/wiki/Q1891170","display_name":"Semantic search","level":3,"score":0.5440000295639038},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.541100025177002},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.49300000071525574},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.46950000524520874},{"id":"https://openalex.org/C2780428219","wikidata":"https://www.wikidata.org/wiki/Q16952335","display_name":"Cover (algebra)","level":2,"score":0.4163999855518341},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.3747999966144562},{"id":"https://openalex.org/C97854310","wikidata":"https://www.wikidata.org/wiki/Q19541","display_name":"Search engine","level":2,"score":0.328000009059906},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3188000023365021},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.31139999628067017},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.31029999256134033},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2955999970436096},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.2847999930381775},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.273499995470047},{"id":"https://openalex.org/C164120249","wikidata":"https://www.wikidata.org/wiki/Q995982","display_name":"Web search query","level":3,"score":0.26570001244544983},{"id":"https://openalex.org/C86037889","wikidata":"https://www.wikidata.org/wiki/Q4330127","display_name":"Learning to rank","level":3,"score":0.2556000053882599},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.2515999972820282}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:doi:10.48550/arxiv.2602.11518","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","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":"publisher-specific-oa","license_id":"https://openalex.org/licenses/publisher-specific-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},{"id":"doi:10.48550/arxiv.2602.11518","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2602.11518","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:doi:10.48550/arxiv.2602.11518","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","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":"publisher-specific-oa","license_id":"https://openalex.org/licenses/publisher-specific-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"E-commerce":[0],"search":[1,77,113,140,177,204,218],"serves":[2],"as":[3],"a":[4,16,108,137,186,212],"central":[5],"interface":[6],"connecting":[7],"user":[8,40,48,145,154],"demands":[9],"with":[10,34],"massive":[11],"product":[12,32,52,99,158],"inventories":[13],"and":[14,38,50,63,91,98,103,119,122,134,156,163,166,181,197,199],"plays":[15],"vital":[17],"role":[18],"in":[19,56,174],"daily":[20],"online":[21],"shopping.":[22],"However,":[23],"it":[24,43],"faces":[25],"challenges,":[26],"including":[27,194],"highly":[28],"ambiguous":[29],"queries,":[30,198],"noisy":[31],"texts":[33,100],"weak":[35],"semantic":[36,61],"order,":[37],"diverse":[39],"preferences,":[41],"making":[42],"difficult":[44],"to":[45,70],"accurately":[46],"capture":[47],"intent":[49],"fine-grained":[51],"semantics.":[53],"Recent":[54],"advances":[55],"large":[57],"language":[58],"models":[59],"for":[60,170,215],"representation":[62],"contextual":[64],"reasoning":[65],"have":[66],"created":[67],"new":[68],"opportunities":[69],"address":[71,130],"these":[72],"challenges.":[73],"Nevertheless,":[74],"existing":[75],"e-commerce":[76,127,139,176,217],"datasets":[78,105],"still":[79],"suffer":[80],"from":[81,147,191],"notable":[82],"limitations:":[83],"queries":[84,155],"are":[85,94,101],"often":[86],"heuristically":[87],"constructed,":[88],"cold-start":[89,161],"users":[90,162],"long-tail":[92,164],"products":[93],"filtered":[95],"out,":[96],"query":[97],"anonymized,":[102],"most":[104],"cover":[106],"only":[107],"single":[109],"stage":[110],"of":[111,189],"the":[112,148,175],"pipeline.":[114],"These":[115],"limitations":[116],"hinder":[117],"realistic":[118],"comprehensive":[120,187],"evaluation":[121],"constrain":[123],"research":[124],"on":[125],"LLM-based":[126],"search.":[128],"To":[129],"them,":[131],"we":[132],"construct":[133],"release":[135],"KuaiSearch,":[136],"large-scale":[138],"dataset":[141,221],"built":[142],"upon":[143],"real":[144],"interactions":[146],"Kuaishou":[149],"platform.":[150],"KuaiSearch":[151,190,210],"preserves":[152],"authentic":[153],"natural-language":[157],"texts,":[159],"covers":[160],"products,":[165,195],"provides":[167,211],"dedicated":[168],"benchmarks":[169,201],"three":[171],"key":[172],"tasks":[173],"pipeline:":[178],"recall,":[179],"ranking,":[180],"relevance":[182],"judgment.":[183],"We":[184],"conduct":[185],"analysis":[188],"multiple":[192],"perspectives,":[193],"users,":[196],"establish":[200],"across":[202],"representative":[203],"tasks.":[205],"Experimental":[206],"results":[207],"demonstrate":[208],"that":[209],"valuable":[213],"foundation":[214],"real-world":[216],"research.":[219],"The":[220],"is":[222],"publicly":[223],"available":[224],"at:":[225],"https://github.com/benchen4395/KuaiSearch":[226]},"counts_by_year":[],"updated_date":"2026-08-01T09:00:35.917206","created_date":"2026-02-14T00:00:00"}