{"id":"https://openalex.org/W4281624652","doi":"https://doi.org/10.1145/3529372.3533294","title":"A reference dependence approach to enhancing early prediction of session behavior and satisfaction","display_name":"A reference dependence approach to enhancing early prediction of session behavior and satisfaction","publication_year":2022,"publication_date":"2022-06-06","ids":{"openalex":"https://openalex.org/W4281624652","doi":"https://doi.org/10.1145/3529372.3533294"},"language":"en","primary_location":{"id":"doi:10.1145/3529372.3533294","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3529372.3533294","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 22nd ACM/IEEE Joint Conference on Digital Libraries","raw_type":"proceedings-article"},"type":"conference-paper","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/A5026593750","display_name":"Tyler N. Brown","orcid":"https://orcid.org/0000-0001-8982-2526"},"institutions":[{"id":"https://openalex.org/I8692664","display_name":"University of Oklahoma","ror":"https://ror.org/02aqsxs83","country_code":"US","type":"education","lineage":["https://openalex.org/I8692664"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tyler Brown","raw_affiliation_strings":["The University of Oklahoma, Norman, Oklahoma"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The University of Oklahoma, Norman, Oklahoma","institution_ids":["https://openalex.org/I8692664"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5088558868","display_name":"Jiqun Liu","orcid":"https://orcid.org/0000-0003-3643-2182"},"institutions":[{"id":"https://openalex.org/I8692664","display_name":"University of Oklahoma","ror":"https://ror.org/02aqsxs83","country_code":"US","type":"education","lineage":["https://openalex.org/I8692664"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jiqun Liu","raw_affiliation_strings":["The University of Oklahoma, Norman, Oklahoma"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The University of Oklahoma, Norman, Oklahoma","institution_ids":["https://openalex.org/I8692664"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I8692664"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10315","display_name":"Decision-Making and Behavioral Economics","score":0.9945999979972839,"subfield":{"id":"https://openalex.org/subfields/1800","display_name":"General Decision Sciences"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T10315","display_name":"Decision-Making and Behavioral Economics","score":0.9945999979972839,"subfield":{"id":"https://openalex.org/subfields/1800","display_name":"General Decision Sciences"},"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/T12607","display_name":"Personal Information Management and User Behavior","score":0.9914000034332275,"subfield":{"id":"https://openalex.org/subfields/1802","display_name":"Information Systems and Management"},"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/T10042","display_name":"Neural and Behavioral Psychology Studies","score":0.9836000204086304,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/session","display_name":"Session (web analytics)","score":0.8629583120346069},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7334495782852173},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6340245604515076},{"id":"https://openalex.org/keywords/dwell-time","display_name":"Dwell time","score":0.42638829350471497},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.41339829564094543},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.36005473136901855},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10398849844932556},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.10012692213058472},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.09569194912910461}],"concepts":[{"id":"https://openalex.org/C2779182362","wikidata":"https://www.wikidata.org/wiki/Q17126187","display_name":"Session (web analytics)","level":2,"score":0.8629583120346069},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7334495782852173},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6340245604515076},{"id":"https://openalex.org/C151637689","wikidata":"https://www.wikidata.org/wiki/Q5318064","display_name":"Dwell time","level":2,"score":0.42638829350471497},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.41339829564094543},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.36005473136901855},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10398849844932556},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.10012692213058472},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.09569194912910461},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C70410870","wikidata":"https://www.wikidata.org/wiki/Q199906","display_name":"Clinical psychology","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},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3529372.3533294","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3529372.3533294","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 22nd ACM/IEEE Joint Conference on Digital Libraries","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.7400000095367432}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W2003125260","https://openalex.org/W2041946752","https://openalex.org/W2057024235","https://openalex.org/W2069049590","https://openalex.org/W2094612320","https://openalex.org/W2107402734","https://openalex.org/W2495068267","https://openalex.org/W2740916867","https://openalex.org/W2788493644","https://openalex.org/W2811593923","https://openalex.org/W2922184570","https://openalex.org/W2950408634","https://openalex.org/W2952667223","https://openalex.org/W2973078969","https://openalex.org/W2980686325","https://openalex.org/W3043886961","https://openalex.org/W3046717516","https://openalex.org/W3122620151","https://openalex.org/W3124551585","https://openalex.org/W3125065975","https://openalex.org/W3125913709","https://openalex.org/W3125969194","https://openalex.org/W3183408277","https://openalex.org/W6817713987"],"related_works":["https://openalex.org/W2898247383","https://openalex.org/W1977953789","https://openalex.org/W4230197055","https://openalex.org/W4296749040","https://openalex.org/W621808327","https://openalex.org/W644007644","https://openalex.org/W2497198634","https://openalex.org/W3012257603","https://openalex.org/W1586784764","https://openalex.org/W4292264782"],"abstract_inverted_index":{"There":[0],"is":[1,56,239],"substantial":[2],"evidence":[3],"from":[4],"behavioral":[5,234,258],"economics":[6],"and":[7,27,53,61,96,113,118,170,184,205,231,252],"decision":[8],"sciences":[9],"demonstrating":[10],"that":[11,136,193],"in":[12,90,142,158,213,225],"the":[13,19,40,45,99,106,125,180,190,219,237,246],"context":[14],"of":[15,21,47,83,94,108,131,186,210,248,256],"decision-making":[16],"under":[17],"uncertainty,":[18],"carriers":[20],"value":[22],"behind":[23],"actions":[24],"are":[25],"gains":[26],"losses":[28],"defined":[29],"relative":[30],"to":[31,73,101,196,198],"a":[32,81,203,207,214,226],"reference":[33,76,88,120,138],"point":[34],"(e.g.":[35],"pre-action":[36],"expectations),":[37],"rather":[38],"than":[39,152],"absolute":[41],"final":[42],"outcomes.":[43],"Also,":[44,174],"capability":[46],"early":[48,109,159,249],"predicting":[49,110,160],"session-level":[50],"search":[51,63,181,201,228],"decisions":[52],"user":[54,85,114,187],"experience":[55],"essential":[57],"for":[58],"developing":[59],"reactive":[60],"proactive":[62],"recommendations.":[64],"To":[65],"address":[66],"these":[67],"research":[68],"gaps,":[69],"our":[70,254],"study":[71],"aims":[72],"1)":[74],"develop":[75],"dependence":[77,121],"features":[78,140,156],"based":[79],"on":[80,124,128],"series":[82],"simulated":[84],"expectations":[86],"or":[87],"points":[89],"first":[91,143],"query":[92,144],"segments":[93,145],"sessions,":[95],"2)":[97],"examine":[98],"extent":[100],"which":[102],"we":[103,134,242],"can":[104,243],"enhance":[105,253],"performance":[107,151,247],"session":[111,163,168,171],"behavior":[112],"satisfaction":[115,166,188,211],"by":[116,178],"constructing":[117],"employing":[119],"features.":[122],"Based":[123],"experimental":[126],"results":[127,191],"three":[129,161],"datasets":[130],"varying":[132,179],"types,":[133],"found":[135],"incorporating":[137],"dependent":[139],"developed":[141],"into":[146],"prediction":[147,250],"models":[148,251],"achieves":[149],"better":[150],"using":[153],"baseline":[154],"cost-benefit":[155],"only":[157],"key":[162],"metrics":[164],"(user":[165],"score,":[167],"clicks,":[169],"dwell":[172],"time).":[173],"when":[175],"running":[176],"simulations":[177],"time":[182,229],"expectation":[183,221,230,238],"rate":[185,209],"decay,":[189],"demonstrate":[192],"users":[194],"tended":[195],"expect":[197],"complete":[199],"their":[200,233],"within":[202],"minute":[204],"showed":[206],"rapid":[208],"decay":[212],"logarithmic":[215],"fashion":[216],"once":[217,236],"surpassing":[218],"estimated":[220],"points.":[222],"By":[223],"factoring":[224],"user's":[227],"measuring":[232],"response":[235],"not":[240],"met,":[241],"further":[244],"improve":[245],"understanding":[255],"users'":[257],"patterns.":[259]},"counts_by_year":[{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
