{"id":"https://openalex.org/W3179440379","doi":"https://doi.org/10.1145/3404835.3462817","title":"CSR 2021: The 1st International Workshop on Causality in Search and Recommendation","display_name":"CSR 2021: The 1st International Workshop on Causality in Search and Recommendation","publication_year":2021,"publication_date":"2021-07-11","ids":{"openalex":"https://openalex.org/W3179440379","doi":"https://doi.org/10.1145/3404835.3462817","mag":"3179440379"},"language":"en","primary_location":{"id":"doi:10.1145/3404835.3462817","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3404835.3462817","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval","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/A5100329828","display_name":"Yongfeng Zhang","orcid":"https://orcid.org/0000-0003-2633-8555"},"institutions":[{"id":"https://openalex.org/I185103710","display_name":"University of California, Santa Cruz","ror":"https://ror.org/03s65by71","country_code":"US","type":"education","lineage":["https://openalex.org/I185103710"]},{"id":"https://openalex.org/I102322142","display_name":"Rutgers, The State University of New Jersey","ror":"https://ror.org/05vt9qd57","country_code":"US","type":"education","lineage":["https://openalex.org/I102322142"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Yongfeng Zhang","raw_affiliation_strings":["Rutgers University, New Brunswick, NJ, USA","University of California, Santa Cruz, Santa Cruz, CA, USA"],"affiliations":[{"raw_affiliation_string":"Rutgers University, New Brunswick, NJ, USA","institution_ids":["https://openalex.org/I102322142"]},{"raw_affiliation_string":"University of California, Santa Cruz, Santa Cruz, CA, USA","institution_ids":["https://openalex.org/I185103710"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100385709","display_name":"Xu Chen","orcid":"https://orcid.org/0000-0002-3070-9358"},"institutions":[{"id":"https://openalex.org/I78988378","display_name":"Renmin University of China","ror":"https://ror.org/041pakw92","country_code":"CN","type":"education","lineage":["https://openalex.org/I78988378"]},{"id":"https://openalex.org/I4210114444","display_name":"Meta (United States)","ror":"https://ror.org/01zbnvs85","country_code":"US","type":"company","lineage":["https://openalex.org/I4210114444"]}],"countries":["CN","US"],"is_corresponding":false,"raw_author_name":"Xu Chen","raw_affiliation_strings":["Facebook AI Research, Melo Park, CA, USA","Renmin University of China, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Facebook AI Research, Melo Park, CA, USA","institution_ids":["https://openalex.org/I4210114444"]},{"raw_affiliation_string":"Renmin University of China, Beijing, China","institution_ids":["https://openalex.org/I78988378"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100388333","display_name":"Yi Zhang","orcid":"https://orcid.org/0000-0003-4299-1511"},"institutions":[{"id":"https://openalex.org/I185103710","display_name":"University of California, Santa Cruz","ror":"https://ror.org/03s65by71","country_code":"US","type":"education","lineage":["https://openalex.org/I185103710"]},{"id":"https://openalex.org/I102322142","display_name":"Rutgers, The State University of New Jersey","ror":"https://ror.org/05vt9qd57","country_code":"US","type":"education","lineage":["https://openalex.org/I102322142"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yi Zhang","raw_affiliation_strings":["Rutgers University, New Brunswick, NJ, USA","University of California, Santa Cruz, Santa Cruz, CA, USA"],"affiliations":[{"raw_affiliation_string":"Rutgers University, New Brunswick, NJ, USA","institution_ids":["https://openalex.org/I102322142"]},{"raw_affiliation_string":"University of California, Santa Cruz, Santa Cruz, CA, USA","institution_ids":["https://openalex.org/I185103710"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5015286714","display_name":"Xianjie Chen","orcid":"https://orcid.org/0000-0001-8206-0557"},"institutions":[{"id":"https://openalex.org/I4210114444","display_name":"Meta (United States)","ror":"https://ror.org/01zbnvs85","country_code":"US","type":"company","lineage":["https://openalex.org/I4210114444"]},{"id":"https://openalex.org/I78988378","display_name":"Renmin University of China","ror":"https://ror.org/041pakw92","country_code":"CN","type":"education","lineage":["https://openalex.org/I78988378"]}],"countries":["CN","US"],"is_corresponding":false,"raw_author_name":"Xianjie Chen","raw_affiliation_strings":["Facebook AI Research, Melo Park, CA, USA","Renmin University of China, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Facebook AI Research, Melo Park, CA, USA","institution_ids":["https://openalex.org/I4210114444"]},{"raw_affiliation_string":"Renmin University of China, Beijing, China","institution_ids":["https://openalex.org/I78988378"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100329828"],"corresponding_institution_ids":["https://openalex.org/I102322142","https://openalex.org/I185103710"],"apc_list":null,"apc_paid":null,"fwci":0.2719,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.62269765,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"2677","last_page":"2680"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.9976000189781189,"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/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.9976000189781189,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.9916999936103821,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.991100013256073,"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/computer-science","display_name":"Computer science","score":0.7377427220344543},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6086764931678772},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5419678092002869},{"id":"https://openalex.org/keywords/learning-to-rank","display_name":"Learning to rank","score":0.47706472873687744},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.47686418890953064},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.47387978434562683},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.4569632411003113},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.45454686880111694},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.38532859086990356},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3457021415233612}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7377427220344543},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6086764931678772},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5419678092002869},{"id":"https://openalex.org/C86037889","wikidata":"https://www.wikidata.org/wiki/Q4330127","display_name":"Learning to rank","level":3,"score":0.47706472873687744},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.47686418890953064},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.47387978434562683},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.4569632411003113},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.45454686880111694},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.38532859086990356},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3457021415233612},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","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/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3404835.3462817","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3404835.3462817","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":91,"referenced_works":["https://openalex.org/W2001892351","https://openalex.org/W2023986041","https://openalex.org/W2046216022","https://openalex.org/W2051235496","https://openalex.org/W2084366967","https://openalex.org/W2086696367","https://openalex.org/W2125326641","https://openalex.org/W2152184085","https://openalex.org/W2209694002","https://openalex.org/W2251814753","https://openalex.org/W2252625695","https://openalex.org/W2337403844","https://openalex.org/W2338147439","https://openalex.org/W2583478856","https://openalex.org/W2737088691","https://openalex.org/W2740070748","https://openalex.org/W2740409734","https://openalex.org/W2749689103","https://openalex.org/W2750144852","https://openalex.org/W2767724106","https://openalex.org/W2767980859","https://openalex.org/W2783944588","https://openalex.org/W2798392716","https://openalex.org/W2798580467","https://openalex.org/W2799195065","https://openalex.org/W2801992635","https://openalex.org/W2810409598","https://openalex.org/W2898076813","https://openalex.org/W2903574258","https://openalex.org/W2908673792","https://openalex.org/W2909072693","https://openalex.org/W2909730039","https://openalex.org/W2913408077","https://openalex.org/W2945488061","https://openalex.org/W2946434750","https://openalex.org/W2950275995","https://openalex.org/W2955106599","https://openalex.org/W2955845608","https://openalex.org/W2962780037","https://openalex.org/W2963895564","https://openalex.org/W2964258748","https://openalex.org/W2964961855","https://openalex.org/W2969893967","https://openalex.org/W2972160336","https://openalex.org/W2972510393","https://openalex.org/W2973171206","https://openalex.org/W2980918481","https://openalex.org/W2988306642","https://openalex.org/W2996863522","https://openalex.org/W3012437064","https://openalex.org/W3012707646","https://openalex.org/W3022328511","https://openalex.org/W3024683329","https://openalex.org/W3034707247","https://openalex.org/W3035523484","https://openalex.org/W3038640658","https://openalex.org/W3039671304","https://openalex.org/W3044840404","https://openalex.org/W3089177865","https://openalex.org/W3093531652","https://openalex.org/W3093532296","https://openalex.org/W3094497946","https://openalex.org/W3098471661","https://openalex.org/W3099381148","https://openalex.org/W3099726771","https://openalex.org/W3100521056","https://openalex.org/W3101366597","https://openalex.org/W3101567279","https://openalex.org/W3102172133","https://openalex.org/W3102793640","https://openalex.org/W3103398753","https://openalex.org/W3104733330","https://openalex.org/W3105451204","https://openalex.org/W3116873649","https://openalex.org/W3117550408","https://openalex.org/W3120268145","https://openalex.org/W3126629198","https://openalex.org/W3134652868","https://openalex.org/W3135428840","https://openalex.org/W3153889608","https://openalex.org/W3165174865","https://openalex.org/W3172887316","https://openalex.org/W3175536494","https://openalex.org/W3181882572","https://openalex.org/W4205334834","https://openalex.org/W6600018615","https://openalex.org/W6600195515","https://openalex.org/W6601180101","https://openalex.org/W6605991194","https://openalex.org/W6689585443","https://openalex.org/W6713523276"],"related_works":["https://openalex.org/W3127142483","https://openalex.org/W4385565564","https://openalex.org/W2898073868","https://openalex.org/W2138488530","https://openalex.org/W4390446658","https://openalex.org/W2971071571","https://openalex.org/W2798835721","https://openalex.org/W2387658907","https://openalex.org/W2922169395","https://openalex.org/W25098770"],"abstract_inverted_index":{"Most":[0],"of":[1,20,36,47,111,164,174],"the":[2,17,25,34,45,78,81,112,128,160,186,202],"current":[3],"machine":[4,218],"learning":[5,29,35,46,90,93,117,123],"approaches":[6],"to":[7,80,91,108,127,138,208,216],"IR---including":[8],"search":[9,71,95],"and":[10,27,44,72,96,118,151,162,170,183,192,223],"recommendation":[11,97,169],"tasks---are":[12],"mostly":[13],"designed":[14],"based":[15],"on":[16,131,159,205],"basic":[18],"idea":[19,190],"matching,":[21],"which":[22],"work":[23],"from":[24,38,51,88],"perceptual":[26],"similarity":[28,48],"perspective.":[30],"This":[31,156],"include":[32],"both":[33,181],"features":[37],"data":[39,52,114],"such":[40,53,69],"as":[41,54,70],"representation":[42,116],"learning,":[43,219],"matching":[49],"functions":[50],"neural":[55],"function":[56],"learning.":[57],"Though":[58],"many":[59],"models":[60,79,150],"have":[61],"been":[62],"widely":[63],"used":[64],"in":[65,84,94,167,185],"practical":[66],"ranking":[67],"systems":[68],"recommendation,":[73],"their":[74],"design":[75],"philosophy":[76],"limits":[77],"correlative":[82,89],"signals":[83],"data.":[85],"However,":[86],"advancing":[87],"causal":[92,103,122,165],"is":[98,227],"an":[99],"important":[100],"problem,":[101],"because":[102],"modeling":[104,166],"can":[105,124],"help":[106],"us":[107],"think":[109],"outside":[110],"observational":[113],"for":[115,188],"ranking.":[119],"More":[120],"specially,":[121],"bring":[125],"benefits":[126],"IR":[129,140,143,146,149,154,175],"community":[130,211],"various":[132],"dimensions,":[133],"including":[134,212],"but":[135,213],"not":[136,214],"limited":[137,215],"Explainable":[139],"models,":[141,144,147],"Unbiased":[142],"Fairness-aware":[145],"Robust":[148],"Cognitive":[152],"Reasoning":[153],"models.":[155],"workshop":[157,178],"focuses":[158],"research":[161,193],"application":[163],"search,":[168],"a":[171,209],"broader":[172,210],"scope":[173],"tasks.":[176],"The":[177],"will":[179,196],"gather":[180],"researchers":[182],"practitioners":[184],"field":[187],"discussions,":[189],"communications,":[191],"promotions.":[194],"It":[195],"also":[197],"generate":[198],"insightful":[199],"debates":[200],"about":[201],"recent":[203],"regulations":[204],"AI":[206],"Ethics,":[207],"IR,":[217],"AI,":[220],"Data":[221],"Science,":[222],"beyond.":[224],"Workshop":[225],"homepage":[226],"available":[228],"online":[229],"at":[230],"https://csr21.github.io/.":[231]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}