{"id":"https://openalex.org/W7152624333","doi":"https://doi.org/10.1145/3774904.3792902","title":"COINS: Semantic Ids Enhanced Cold Item Representation for Click-through Rate Prediction in E-commerce Search","display_name":"COINS: Semantic Ids Enhanced Cold Item Representation for Click-through Rate Prediction in E-commerce Search","publication_year":2026,"publication_date":"2026-04-09","ids":{"openalex":"https://openalex.org/W7152624333","doi":"https://doi.org/10.1145/3774904.3792902"},"language":null,"primary_location":{"id":"doi:10.1145/3774904.3792902","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3774904.3792902","pdf_url":null,"source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM Web Conference 2026","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1145/3774904.3792902","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5074898687","display_name":"Qihang Zhao","orcid":"https://orcid.org/0000-0002-7693-2870"},"institutions":[{"id":"https://openalex.org/I4401726859","display_name":"Kuaishou (China)","ror":"https://ror.org/0258as409","country_code":null,"type":"company","lineage":["https://openalex.org/I4401726859"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qihang Zhao","raw_affiliation_strings":["Kuaishou Technology, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-7693-2870","affiliations":[{"raw_affiliation_string":"Kuaishou Technology, Hangzhou, China","institution_ids":["https://openalex.org/I4401726859"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133240190","display_name":"Zhongbo Sun","orcid":"https://orcid.org/0009-0001-1741-1696"},"institutions":[{"id":"https://openalex.org/I4401726859","display_name":"Kuaishou (China)","ror":"https://ror.org/0258as409","country_code":null,"type":"company","lineage":["https://openalex.org/I4401726859"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhongbo Sun","raw_affiliation_strings":["Kuaishou Technology, Hangzhou, China"],"raw_orcid":"https://orcid.org/0009-0001-1741-1696","affiliations":[{"raw_affiliation_string":"Kuaishou Technology, Hangzhou, China","institution_ids":["https://openalex.org/I4401726859"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072195107","display_name":"Xiaoyang Zheng","orcid":"https://orcid.org/0000-0001-5090-9819"},"institutions":[{"id":"https://openalex.org/I4401726859","display_name":"Kuaishou (China)","ror":"https://ror.org/0258as409","country_code":null,"type":"company","lineage":["https://openalex.org/I4401726859"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoyang Zheng","raw_affiliation_strings":["Kuaishou Technology, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0001-5090-9819","affiliations":[{"raw_affiliation_string":"Kuaishou Technology, Hangzhou, China","institution_ids":["https://openalex.org/I4401726859"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081229142","display_name":"Xian Jiu Guo","orcid":null},"institutions":[{"id":"https://openalex.org/I4401726859","display_name":"Kuaishou (China)","ror":"https://ror.org/0258as409","country_code":null,"type":"company","lineage":["https://openalex.org/I4401726859"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xian Guo","raw_affiliation_strings":["Kuaishou Technology, Hangzhou, China"],"raw_orcid":"https://orcid.org/0009-0000-6974-4233","affiliations":[{"raw_affiliation_string":"Kuaishou Technology, Hangzhou, China","institution_ids":["https://openalex.org/I4401726859"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5129710223","display_name":"Siyuan Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I4401726859","display_name":"Kuaishou (China)","ror":"https://ror.org/0258as409","country_code":null,"type":"company","lineage":["https://openalex.org/I4401726859"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Siyuan Wang","raw_affiliation_strings":["Kuaishou Technology, Hangzhou, China"],"raw_orcid":"https://orcid.org/0009-0004-2137-0972","affiliations":[{"raw_affiliation_string":"Kuaishou Technology, Hangzhou, China","institution_ids":["https://openalex.org/I4401726859"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057994068","display_name":"Zihan Liang","orcid":"https://orcid.org/0009-0003-2373-1439"},"institutions":[{"id":"https://openalex.org/I4401726859","display_name":"Kuaishou (China)","ror":"https://ror.org/0258as409","country_code":null,"type":"company","lineage":["https://openalex.org/I4401726859"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zihan Liang","raw_affiliation_strings":["Kuaishou Technology, Hangzhou, China"],"raw_orcid":"https://orcid.org/0009-0003-2373-1439","affiliations":[{"raw_affiliation_string":"Kuaishou Technology, Hangzhou, China","institution_ids":["https://openalex.org/I4401726859"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Mingcan Peng","orcid":"https://orcid.org/0000-0002-0208-5576"},"institutions":[{"id":"https://openalex.org/I4401726859","display_name":"Kuaishou (China)","ror":"https://ror.org/0258as409","country_code":null,"type":"company","lineage":["https://openalex.org/I4401726859"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mingcan Peng","raw_affiliation_strings":["Kuaishou Technology, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-0208-5576","affiliations":[{"raw_affiliation_string":"Kuaishou Technology, Hangzhou, China","institution_ids":["https://openalex.org/I4401726859"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070051912","display_name":"Ben Chen","orcid":"https://orcid.org/0000-0003-4495-8686"},"institutions":[{"id":"https://openalex.org/I45928872","display_name":"Alibaba Group (China)","ror":"https://ror.org/00k642b80","country_code":"CN","type":"company","lineage":["https://openalex.org/I45928872"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ben Chen","raw_affiliation_strings":["Alibaba International Digital Commerce Group, Kuaishou Technology, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-4495-8686","affiliations":[{"raw_affiliation_string":"Alibaba International Digital Commerce Group, Kuaishou Technology, Hangzhou, China","institution_ids":["https://openalex.org/I45928872"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5046590511","display_name":"Chenyi Lei","orcid":"https://orcid.org/0000-0001-6287-3673"},"institutions":[{"id":"https://openalex.org/I4401726859","display_name":"Kuaishou (China)","ror":"https://ror.org/0258as409","country_code":null,"type":"company","lineage":["https://openalex.org/I4401726859"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chenyi Lei","raw_affiliation_strings":["Kuaishou Technology, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0001-6287-3673","affiliations":[{"raw_affiliation_string":"Kuaishou Technology, Hangzhou, China","institution_ids":["https://openalex.org/I4401726859"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":9,"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":0.57516598,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"8529","last_page":"8532"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.3422999978065491,"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/T10203","display_name":"Recommender Systems and Techniques","score":0.3422999978065491,"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/T10286","display_name":"Information Retrieval and Search Behavior","score":0.09799999743700027,"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/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.06800000369548798,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.47589999437332153},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.2919999957084656},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.28949999809265137},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.27090001106262207},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.27079999446868896}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6514000296592712},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5648000240325928},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.47589999437332153},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.31690001487731934},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.31459999084472656},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.2919999957084656},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.28949999809265137},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.27219998836517334},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.27090001106262207},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.27079999446868896},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2590999901294708},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.2500999867916107}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3774904.3792902","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3774904.3792902","pdf_url":null,"source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM Web Conference 2026","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3774904.3792902","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3774904.3792902","pdf_url":null,"source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM Web Conference 2026","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/8","display_name":"Decent work and economic growth","score":0.4117151200771332}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W3206310679","https://openalex.org/W4284681846","https://openalex.org/W4395109419","https://openalex.org/W4403221552","https://openalex.org/W4406213719","https://openalex.org/W4409157944","https://openalex.org/W4410088775","https://openalex.org/W6929400043"],"related_works":[],"abstract_inverted_index":{"With":[0],"the":[1,16,57,64],"rise":[2],"of":[3,12,19,85],"modern":[4],"search":[5],"and":[6,26,61,97,130],"recommendation":[7],"platforms,":[8],"insufficient":[9],"collaborative":[10,38,42,98,109],"information":[11,39],"cold-start":[13,48],"items":[14,46],"exacerbates":[15],"Matthew":[17],"effect":[18],"existing":[20],"platform":[21,24],"items,":[22,112],"challenging":[23],"diversity":[25],"becoming":[27],"a":[28,102],"longstanding":[29],"issue.":[30],"Existing":[31],"methods":[32,52],"align":[33],"items'":[34,117],"side":[35],"content":[36,96],"with":[37],"to":[40,47,54,93],"transfer":[41],"signals":[43,110],"from":[44],"high-popularity":[45],"items.":[49,68],"However,":[50],"these":[51,71],"fail":[53],"account":[55],"for":[56],"asymmetry":[58],"between":[59],"collaboration":[60],"content,":[62],"nor":[63],"fine-grained":[65],"differences":[66],"among":[67],"To":[69],"address":[70],"issues,":[72],"we":[73,89],"propose":[74],"COINS,":[75],"an":[76],"item":[77,95],"representation":[78],"enhancement":[79],"approach":[80],"based":[81],"on":[82,123],"fused":[83],"alignment":[84],"semantic":[86],"IDs.":[87],"Specifically,":[88],"use":[90],"RQ-OPQ":[91],"encoding":[92,106,115],"quantize":[94],"information,":[99],"followed":[100],"by":[101],"two-step":[103],"alignment:":[104],"RQ":[105],"transfers":[107],"shared":[108],"across":[111],"while":[113],"OPQ":[114],"learns":[116],"differentiated":[118],"information.":[119],"Comprehensive":[120],"offline":[121],"experiments":[122],"large-scale":[124],"industrial":[125],"datasets":[126],"demonstrate":[127],"COINS's":[128],"superiority,":[129],"rigorous":[131],"online":[132],"A/B":[133],"tests":[134],"confirm":[135],"statistically":[136],"significant":[137],"improvements.":[138]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2026-04-10T00:00:00"}