{"id":"https://openalex.org/W4292596048","doi":"https://doi.org/10.1145/3557886","title":"First Things First? Order Effects in Online Product Recommender Systems","display_name":"First Things First? Order Effects in Online Product Recommender Systems","publication_year":2022,"publication_date":"2022-08-22","ids":{"openalex":"https://openalex.org/W4292596048","doi":"https://doi.org/10.1145/3557886"},"language":"en","primary_location":{"id":"doi:10.1145/3557886","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3557886","pdf_url":null,"source":{"id":"https://openalex.org/S89276529","display_name":"ACM Transactions on Computer-Human Interaction","issn_l":"1073-0516","issn":["1073-0516","1557-7325"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Computer-Human Interaction","raw_type":"journal-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/A5028893199","display_name":"Xunhua Guo","orcid":"https://orcid.org/0000-0002-7243-4292"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xunhua Guo","raw_affiliation_strings":["Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101415625","display_name":"Lingli Wang","orcid":"https://orcid.org/0000-0002-8405-6196"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lingli Wang","raw_affiliation_strings":["Beijing University of Posts and Telecommunications, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100405291","display_name":"Mingyue Zhang","orcid":"https://orcid.org/0000-0003-3504-1286"},"institutions":[{"id":"https://openalex.org/I11406153","display_name":"Shanghai International Studies University","ror":"https://ror.org/01bn89z48","country_code":"CN","type":"education","lineage":["https://openalex.org/I11406153"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mingyue Zhang","raw_affiliation_strings":["Shanghai International Studies University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Shanghai International Studies University, Shanghai, China","institution_ids":["https://openalex.org/I11406153"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100342994","display_name":"Guoqing Chen","orcid":"https://orcid.org/0000-0001-7386-1133"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guoqing Chen","raw_affiliation_strings":["Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5028893199"],"corresponding_institution_ids":["https://openalex.org/I99065089"],"apc_list":null,"apc_paid":null,"fwci":1.4111,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.83471779,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"30","issue":"1","first_page":"1","last_page":"35"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11161","display_name":"Consumer Market Behavior and Pricing","score":0.9970999956130981,"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":0.9970999956130981,"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/T10609","display_name":"Digital Marketing and Social Media","score":0.9948999881744385,"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/T10203","display_name":"Recommender Systems and Techniques","score":0.992900013923645,"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/recommender-system","display_name":"Recommender system","score":0.9195094108581543},{"id":"https://openalex.org/keywords/order","display_name":"Order (exchange)","score":0.7194575071334839},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7184487581253052},{"id":"https://openalex.org/keywords/product","display_name":"Product (mathematics)","score":0.6640883684158325},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.6558846235275269},{"id":"https://openalex.org/keywords/collaborative-filtering","display_name":"Collaborative filtering","score":0.5618666410446167},{"id":"https://openalex.org/keywords/perspective","display_name":"Perspective (graphical)","score":0.5561020374298096},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.44049230217933655},{"id":"https://openalex.org/keywords/cognition","display_name":"Cognition","score":0.4103861153125763},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.24519142508506775},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.18982213735580444},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09518349170684814},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.09511405229568481}],"concepts":[{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.9195094108581543},{"id":"https://openalex.org/C182306322","wikidata":"https://www.wikidata.org/wiki/Q1779371","display_name":"Order (exchange)","level":2,"score":0.7194575071334839},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7184487581253052},{"id":"https://openalex.org/C90673727","wikidata":"https://www.wikidata.org/wiki/Q901718","display_name":"Product (mathematics)","level":2,"score":0.6640883684158325},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.6558846235275269},{"id":"https://openalex.org/C21569690","wikidata":"https://www.wikidata.org/wiki/Q94702","display_name":"Collaborative filtering","level":3,"score":0.5618666410446167},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.5561020374298096},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.44049230217933655},{"id":"https://openalex.org/C169900460","wikidata":"https://www.wikidata.org/wiki/Q2200417","display_name":"Cognition","level":2,"score":0.4103861153125763},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.24519142508506775},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.18982213735580444},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09518349170684814},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.09511405229568481},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3557886","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3557886","pdf_url":null,"source":{"id":"https://openalex.org/S89276529","display_name":"ACM Transactions on Computer-Human Interaction","issn_l":"1073-0516","issn":["1073-0516","1557-7325"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Computer-Human Interaction","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure","score":0.4699999988079071}],"awards":[{"id":"https://openalex.org/G2354504932","display_name":null,"funder_award_id":"72272101, 72201038, 71802024","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":74,"referenced_works":["https://openalex.org/W206914775","https://openalex.org/W1490559977","https://openalex.org/W1968130966","https://openalex.org/W1976304491","https://openalex.org/W1976999803","https://openalex.org/W1979098380","https://openalex.org/W1979410064","https://openalex.org/W1993522449","https://openalex.org/W1994360926","https://openalex.org/W1994389483","https://openalex.org/W1997137767","https://openalex.org/W2000692682","https://openalex.org/W2008037924","https://openalex.org/W2013178869","https://openalex.org/W2013661501","https://openalex.org/W2017898062","https://openalex.org/W2018605660","https://openalex.org/W2020302573","https://openalex.org/W2020631728","https://openalex.org/W2021121236","https://openalex.org/W2021390312","https://openalex.org/W2025627201","https://openalex.org/W2029664628","https://openalex.org/W2030486240","https://openalex.org/W2042281163","https://openalex.org/W2048045485","https://openalex.org/W2051688880","https://openalex.org/W2056091763","https://openalex.org/W2059440906","https://openalex.org/W2078428190","https://openalex.org/W2080371694","https://openalex.org/W2083390547","https://openalex.org/W2084127140","https://openalex.org/W2085276903","https://openalex.org/W2089956065","https://openalex.org/W2090793409","https://openalex.org/W2094551677","https://openalex.org/W2097951507","https://openalex.org/W2111791556","https://openalex.org/W2112856797","https://openalex.org/W2115528490","https://openalex.org/W2122114437","https://openalex.org/W2123427850","https://openalex.org/W2126695993","https://openalex.org/W2134052602","https://openalex.org/W2148217372","https://openalex.org/W2150043626","https://openalex.org/W2153578526","https://openalex.org/W2155912844","https://openalex.org/W2164173709","https://openalex.org/W2170209906","https://openalex.org/W2171960770","https://openalex.org/W2467676176","https://openalex.org/W2517551598","https://openalex.org/W2545577367","https://openalex.org/W2594080473","https://openalex.org/W2602911600","https://openalex.org/W2750146585","https://openalex.org/W2770640503","https://openalex.org/W2897429051","https://openalex.org/W2910376060","https://openalex.org/W2914723769","https://openalex.org/W2945152270","https://openalex.org/W2948345531","https://openalex.org/W2972423830","https://openalex.org/W3000213687","https://openalex.org/W3017280272","https://openalex.org/W3035557392","https://openalex.org/W3097819776","https://openalex.org/W3122516274","https://openalex.org/W3123801339","https://openalex.org/W3125289903","https://openalex.org/W4211162995","https://openalex.org/W4246352385"],"related_works":["https://openalex.org/W1484355083","https://openalex.org/W2772628444","https://openalex.org/W4220714703","https://openalex.org/W2735929803","https://openalex.org/W2170391450","https://openalex.org/W2098758514","https://openalex.org/W3008845055","https://openalex.org/W2041004656","https://openalex.org/W135044020","https://openalex.org/W4376854386"],"abstract_inverted_index":{"Research":[0,130],"on":[1,58,135,227],"recommender":[2,25,208,221],"systems":[3,26,222],"has":[4,80],"noted":[5],"that":[6,32,46,101,195],"the":[7,18,29,43,62,91,106,111,116,136,139,155,162,172,178,204,216,232],"ranking":[8],"of":[9,20,84,105,138,203,207,219,230,234],"recommended":[10,34,113],"items":[11],"may":[12],"play":[13],"an":[14],"important":[15],"role":[16],"in":[17,36,54,70,102,115,121,201,223],"performance":[19],"recommendation":[21,205],"algorithms.":[22],"To":[23],"advance":[24],"research":[27],"beyond":[28],"traditional":[30],"approach":[31],"ranks":[33],"products":[35,53,73],"descending,":[37],"it":[38,192],"is":[39,93,159,193],"crucial":[40],"to":[41,95,128],"understand":[42],"cognitive":[44],"processes":[45],"online":[47],"consumers":[48],"experience":[49],"when":[50],"they":[51],"evaluate":[52,96],"a":[55,68,185],"sequence.":[56],"Drawing":[57],"evaluability":[59],"theory":[60],"and":[61,77,126,142],"order":[63,157,197],"effects":[64,158,174,198],"perspective,":[65],"we":[66],"formulate":[67],"scenario":[69,140],"which":[71,85],"two":[72,81,103],"are":[74,132,143,175],"presented":[75],"sequentially":[76],"each":[78],"product":[79,114,167],"attributes,":[82],"one":[83],"can":[86],"be":[87],"evaluated":[88],"independently":[89],"while":[90],"other":[92],"difficult":[94],"without":[97],"comparison.":[98],"Analyses":[99],"show":[100],"out":[104],"three":[107,147],"cases":[108],"examined,":[109],"presenting":[110],"most":[112],"second":[117],"place":[118],"will":[119],"result":[120],"stronger":[122],"consumer":[123],"purchase":[124],"intentions":[125],"willingness":[127],"pay.":[129],"hypotheses":[131],"proposed":[133],"based":[134],"results":[137],"analyses":[141],"empirically":[144],"tested":[145],"through":[146],"laboratory":[148],"experiments.":[149],"In":[150,169,189],"Study":[151,170,190],"1,":[152],"evidence":[153],"for":[154,161,177],"hypothesized":[156],"found":[160],"settings":[163,179],"with":[164,180],"randomly":[165],"assigned":[166],"recommendations.":[168],"2,":[171],"same":[173],"observed":[176],"personalized":[181],"recommendations":[182],"generated":[183],"by":[184],"collaborative":[186],"filtering":[187],"algorithm.":[188],"3,":[191],"shown":[194],"such":[196,235],"also":[199],"exist":[200],"terms":[202],"strength":[206],"systems.":[209,236],"These":[210],"findings":[211],"provide":[212],"novel":[213],"insights":[214],"into":[215],"behavioral":[217],"implications":[218],"using":[220],"e-commerce,":[224],"shedding":[225],"light":[226],"additional":[228],"means":[229],"improving":[231],"design":[233]},"counts_by_year":[{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}