{"id":"https://openalex.org/W2798855994","doi":"https://doi.org/10.1145/3209978.3210050","title":"Offline Comparative Evaluation with Incremental, Minimally-Invasive Online Feedback","display_name":"Offline Comparative Evaluation with Incremental, Minimally-Invasive Online Feedback","publication_year":2018,"publication_date":"2018-06-27","ids":{"openalex":"https://openalex.org/W2798855994","doi":"https://doi.org/10.1145/3209978.3210050","mag":"2798855994"},"language":"en","primary_location":{"id":"doi:10.1145/3209978.3210050","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3209978.3210050","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The 41st International ACM SIGIR Conference on Research & 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/A5078123101","display_name":"Ben Carterette","orcid":"https://orcid.org/0000-0001-9538-047X"},"institutions":[{"id":"https://openalex.org/I86501945","display_name":"University of Delaware","ror":"https://ror.org/01sbq1a82","country_code":"US","type":"education","lineage":["https://openalex.org/I86501945"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Ben Carterette","raw_affiliation_strings":["University of Delaware, Newark, DE, USA"],"affiliations":[{"raw_affiliation_string":"University of Delaware, Newark, DE, USA","institution_ids":["https://openalex.org/I86501945"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5020257829","display_name":"Praveen Chandar","orcid":"https://orcid.org/0009-0008-2199-2631"},"institutions":[{"id":"https://openalex.org/I4210122154","display_name":"Photon Spot (United States)","ror":"https://ror.org/01yxc0v75","country_code":"US","type":"company","lineage":["https://openalex.org/I4210122154"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Praveen Chandar","raw_affiliation_strings":["Spotify, New York, NY, USA"],"affiliations":[{"raw_affiliation_string":"Spotify, New York, NY, USA","institution_ids":["https://openalex.org/I4210122154"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5078123101"],"corresponding_institution_ids":["https://openalex.org/I86501945"],"apc_list":null,"apc_paid":null,"fwci":3.9269,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.9447082,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":"29","issue":null,"first_page":"705","last_page":"714"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10286","display_name":"Information Retrieval and Search Behavior","score":0.9889000058174133,"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":0.9889000058174133,"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/T11182","display_name":"Auction Theory and Applications","score":0.988099992275238,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.9868000149726868,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"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":0.7872755527496338},{"id":"https://openalex.org/keywords/counterfactual-thinking","display_name":"Counterfactual thinking","score":0.6938490867614746},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.611412763595581},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.48542770743370056},{"id":"https://openalex.org/keywords/variety","display_name":"Variety (cybernetics)","score":0.4215320646762848},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.35953497886657715},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.327412873506546},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3233799338340759},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.07218816876411438}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7872755527496338},{"id":"https://openalex.org/C108650721","wikidata":"https://www.wikidata.org/wiki/Q1783253","display_name":"Counterfactual thinking","level":2,"score":0.6938490867614746},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.611412763595581},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.48542770743370056},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.4215320646762848},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.35953497886657715},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.327412873506546},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3233799338340759},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.07218816876411438},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3209978.3210050","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3209978.3210050","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The 41st International ACM SIGIR Conference on Research & Development in Information Retrieval","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"No poverty","score":0.699999988079071,"id":"https://metadata.un.org/sdg/1"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":38,"referenced_works":["https://openalex.org/W135190683","https://openalex.org/W1094752974","https://openalex.org/W1523019309","https://openalex.org/W1968927634","https://openalex.org/W1974360117","https://openalex.org/W1978658266","https://openalex.org/W1982530130","https://openalex.org/W1992549066","https://openalex.org/W1998427280","https://openalex.org/W2009954908","https://openalex.org/W2026784708","https://openalex.org/W2037140704","https://openalex.org/W2047221353","https://openalex.org/W2057495142","https://openalex.org/W2090883204","https://openalex.org/W2094790959","https://openalex.org/W2099213975","https://openalex.org/W2110038066","https://openalex.org/W2110228583","https://openalex.org/W2115536324","https://openalex.org/W2122124659","https://openalex.org/W2150291618","https://openalex.org/W2155587858","https://openalex.org/W2156160882","https://openalex.org/W2156541733","https://openalex.org/W2340526403","https://openalex.org/W2402441596","https://openalex.org/W2464171116","https://openalex.org/W2500119194","https://openalex.org/W2507134384","https://openalex.org/W2594908799","https://openalex.org/W2604466072","https://openalex.org/W2751013112","https://openalex.org/W2951607891","https://openalex.org/W3098679278","https://openalex.org/W3103991399","https://openalex.org/W6713202564","https://openalex.org/W7043762925"],"related_works":["https://openalex.org/W3201448254","https://openalex.org/W4286970243","https://openalex.org/W2066431708","https://openalex.org/W4384133558","https://openalex.org/W3025615835","https://openalex.org/W173210993","https://openalex.org/W2390660599","https://openalex.org/W3028847759","https://openalex.org/W2393688264","https://openalex.org/W3170174360"],"abstract_inverted_index":{"We":[0,98,147],"investigate":[1],"the":[2,18,52,64,80,95,131,142],"use":[3,110],"of":[4,13,20,25,113,117,177],"logged":[5,59],"user":[6,69],"interaction":[7,86],"data---queries":[8],"and":[9,55,92],"clicks---for":[10],"offline":[11],"evaluation":[12],"new":[14,28,41,96,119,143],"search":[15],"systems":[16],"in":[17,51,79,111,154,173],"context":[19],"counterfactual":[21],"analysis.":[22],"The":[23],"challenge":[24],"evaluating":[26],"a":[27,35,100,118,155,174],"ranker":[29,38,65,133,144],"against":[30,137],"log":[31],"data":[32],"collected":[33],"from":[34,61],"static":[36],"production":[37,132],"is":[39,124,145],"that":[40,46,72,75,167],"rankers":[42],"may":[43],"retrieve":[44],"documents":[45,74,108],"have":[47,76,83],"never":[48],"been":[49,77,90],"seen":[50,78],"logs":[53,81],"before,":[54],"thus":[56],"lack":[57],"any":[58],"feedback":[60],"users.":[62],"Additionally,":[63],"itself":[66],"could":[67],"bias":[68],"actions":[70],"such":[71,163],"even":[73],"would":[82],"exhibited":[84],"different":[85],"patterns":[87],"had":[88],"they":[89,168],"retrieved":[91],"ranked":[93],"by":[94],"ranker.":[97],"present":[99],"methodology":[101],"for":[102,109,162],"incrementally":[103],"logging":[104],"interactions":[105],"on":[106],"previously-unseen":[107],"computation":[112],"an":[114],"unbiased":[115],"estimator":[116],"ranker's":[120],"effectiveness.":[121],"Our":[122],"method":[123],"very":[125],"lightly":[126],"invasive":[127],"with":[128],"respect":[129],"to":[130,135,159,165,171],"results":[134],"insure":[136],"users":[138],"becoming":[139],"dissatisfied":[140],"if":[141],"poor.":[146],"demonstrate":[148],"how":[149],"well":[150],"our":[151],"methods":[152,164],"work":[153,172],"simulation":[156],"environment":[157],"designed":[158],"be":[160],"challenging":[161],"argue":[166],"are":[169],"likely":[170],"wide":[175],"variety":[176],"scenarios.":[178]},"counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}