{"id":"https://openalex.org/W2108445303","doi":"https://doi.org/10.1145/2378104.2378130","title":"Forecasting prices in dynamic heterogeneous product markets using multivariate prediction methods","display_name":"Forecasting prices in dynamic heterogeneous product markets using multivariate prediction methods","publication_year":2011,"publication_date":"2011-08-03","ids":{"openalex":"https://openalex.org/W2108445303","doi":"https://doi.org/10.1145/2378104.2378130","mag":"2108445303"},"language":"en","primary_location":{"id":"doi:10.1145/2378104.2378130","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2378104.2378130","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 13th International Conference on Electronic Commerce","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/A5078293448","display_name":"Gianfranco Lucchese","orcid":"https://orcid.org/0000-0003-2832-8502"},"institutions":[{"id":"https://openalex.org/I11039511","display_name":"University of Bergamo","ror":"https://ror.org/02mbd5571","country_code":"IT","type":"education","lineage":["https://openalex.org/I11039511"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Gianfranco Lucchese","raw_affiliation_strings":["University of Bergamo"],"affiliations":[{"raw_affiliation_string":"University of Bergamo","institution_ids":["https://openalex.org/I11039511"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042852488","display_name":"Wolfgang Ketter","orcid":"https://orcid.org/0000-0001-9008-142X"},"institutions":[{"id":"https://openalex.org/I913958620","display_name":"Erasmus University Rotterdam","ror":"https://ror.org/057w15z03","country_code":"NL","type":"education","lineage":["https://openalex.org/I913958620"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Wolfgang Ketter","raw_affiliation_strings":["Erasmus University Rotterdam"],"affiliations":[{"raw_affiliation_string":"Erasmus University Rotterdam","institution_ids":["https://openalex.org/I913958620"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002679312","display_name":"Jan van Dalen","orcid":"https://orcid.org/0000-0002-0606-3366"},"institutions":[{"id":"https://openalex.org/I913958620","display_name":"Erasmus University Rotterdam","ror":"https://ror.org/057w15z03","country_code":"NL","type":"education","lineage":["https://openalex.org/I913958620"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Jan van Dalen","raw_affiliation_strings":["Erasmus University Rotterdam"],"affiliations":[{"raw_affiliation_string":"Erasmus University Rotterdam","institution_ids":["https://openalex.org/I913958620"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5006184736","display_name":"John Collins","orcid":"https://orcid.org/0000-0002-7881-4595"},"institutions":[{"id":"https://openalex.org/I2800403580","display_name":"University of Minnesota System","ror":"https://ror.org/03grvy078","country_code":"US","type":"education","lineage":["https://openalex.org/I2800403580"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"John Collins","raw_affiliation_strings":["University of Minnesota"],"affiliations":[{"raw_affiliation_string":"University of Minnesota","institution_ids":["https://openalex.org/I2800403580"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5078293448"],"corresponding_institution_ids":["https://openalex.org/I11039511"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.22023373,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"10"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11161","display_name":"Consumer Market Behavior and Pricing","score":0.9973000288009644,"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":0.9973000288009644,"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/T12659","display_name":"Innovation Diffusion and Forecasting","score":0.9944000244140625,"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/T11182","display_name":"Auction Theory and Applications","score":0.9940000176429749,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/univariate","display_name":"Univariate","score":0.8269433975219727},{"id":"https://openalex.org/keywords/multivariate-statistics","display_name":"Multivariate statistics","score":0.735944390296936},{"id":"https://openalex.org/keywords/autoregressive-model","display_name":"Autoregressive model","score":0.7203332781791687},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6506924629211426},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.6455906629562378},{"id":"https://openalex.org/keywords/correctness","display_name":"Correctness","score":0.5875398516654968},{"id":"https://openalex.org/keywords/product","display_name":"Product (mathematics)","score":0.4703662097454071},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.465490460395813},{"id":"https://openalex.org/keywords/economics","display_name":"Economics","score":0.2243576943874359},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15666693449020386},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.15121227502822876},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.14264237880706787}],"concepts":[{"id":"https://openalex.org/C199163554","wikidata":"https://www.wikidata.org/wiki/Q1681619","display_name":"Univariate","level":3,"score":0.8269433975219727},{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.735944390296936},{"id":"https://openalex.org/C159877910","wikidata":"https://www.wikidata.org/wiki/Q2202883","display_name":"Autoregressive model","level":2,"score":0.7203332781791687},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6506924629211426},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.6455906629562378},{"id":"https://openalex.org/C55439883","wikidata":"https://www.wikidata.org/wiki/Q360812","display_name":"Correctness","level":2,"score":0.5875398516654968},{"id":"https://openalex.org/C90673727","wikidata":"https://www.wikidata.org/wiki/Q901718","display_name":"Product (mathematics)","level":2,"score":0.4703662097454071},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.465490460395813},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.2243576943874359},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15666693449020386},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.15121227502822876},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.14264237880706787},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","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/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/2378104.2378130","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2378104.2378130","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 13th International Conference on Electronic Commerce","raw_type":"proceedings-article"},{"id":"pmh:eur:oai:pure.eur.nl:publications/d74ee018-6f51-491c-90b7-3236e7854b35","is_oa":false,"landing_page_url":"https://pure.eur.nl/en/publications/d74ee018-6f51-491c-90b7-3236e7854b35","pdf_url":null,"source":{"id":"https://openalex.org/S4306401843","display_name":"Data Archiving and Networked Services (DANS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1322597698","host_organization_name":"Royal Netherlands Academy of Arts and Sciences","host_organization_lineage":["https://openalex.org/I1322597698"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"13th International Conference on Electronic Commerce (ICEC-11)","raw_type":"info:eu-repo/semantics/conferencepaper"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W139541242","https://openalex.org/W181525176","https://openalex.org/W638887343","https://openalex.org/W659481405","https://openalex.org/W1529353710","https://openalex.org/W1533501505","https://openalex.org/W1563932386","https://openalex.org/W1582808651","https://openalex.org/W1899027942","https://openalex.org/W1965210248","https://openalex.org/W1978184985","https://openalex.org/W1986528915","https://openalex.org/W1991553333","https://openalex.org/W1995347541","https://openalex.org/W2009778168","https://openalex.org/W2012848804","https://openalex.org/W2055514437","https://openalex.org/W2066569036","https://openalex.org/W2079563517","https://openalex.org/W2080465319","https://openalex.org/W2080528474","https://openalex.org/W2105934661","https://openalex.org/W2145397675","https://openalex.org/W2158777411","https://openalex.org/W2164010570","https://openalex.org/W2164755628","https://openalex.org/W2166823027","https://openalex.org/W2167770488","https://openalex.org/W2171744359","https://openalex.org/W2509512661","https://openalex.org/W2571446175","https://openalex.org/W3122207778","https://openalex.org/W3124389415","https://openalex.org/W3146166473","https://openalex.org/W4205798102","https://openalex.org/W4240026315","https://openalex.org/W4241226388"],"related_works":["https://openalex.org/W1828158523","https://openalex.org/W2049578243","https://openalex.org/W2000145235","https://openalex.org/W2122079181","https://openalex.org/W1985848810","https://openalex.org/W2889939530","https://openalex.org/W3121881699","https://openalex.org/W2045832042","https://openalex.org/W2748838164","https://openalex.org/W2066015000"],"abstract_inverted_index":{"Hedonic":[0],"modeling":[1],"is":[2],"used":[3],"to":[4,22,27,81,160],"measure":[5],"the":[6,20,24,75,116,142,156],"product":[7,36],"price":[8,169],"behavior":[9],"overall":[10],"in":[11,149,163],"high-tech":[12],"markets.":[13],"In":[14,49,68],"a":[15,28,64,134,150,164],"previous":[16],"work,":[17],"we":[18,52,71],"showed":[19],"opportunity":[21],"extend":[23],"simple":[25],"regression":[26],"state":[29],"space":[30],"model":[31,77],"evaluating":[32],"hedonic":[33,76,91],"prices":[34,59,129],"from":[35],"prices.":[37],"We":[38,88,114],"created":[39],"and":[40,73,86,107,171],"tested":[41],"an":[42],"online":[43,121,168],"estimation":[44],"algorithm":[45,119,159],"for":[46,60,130,167],"those":[47],"values.":[48],"that":[50,90],"way,":[51],"can":[53,103],"study":[54],"time":[55],"series":[56],"of":[57,63,66,118,123,136,144,158],"implicit":[58],"individual":[61],"components":[62],"range":[65],"products.":[67],"this":[69],"paper,":[70],"implement":[72],"compare":[74],"forecast":[78],"performances":[79],"respect":[80],"standard":[82],"autoregressive":[83],"models,":[84],"univariate":[85,105],"multivariate.":[87],"find":[89],"values":[92],"not":[93],"only":[94],"give":[95],"extra":[96],"information":[97],"about":[98],"supply":[99,152],"market,":[100],"but":[101],"they":[102],"improve":[104],"predictions":[106],"in,":[108],"certain":[109],"periods,":[110],"also":[111],"multivariate":[112],"ones.":[113],"show":[115],"correctness":[117],"using":[120],"version":[122],"it.":[124],"An":[125,147],"agent":[126],"may":[127],"predict":[128],"different":[131],"products":[132],"sharing":[133],"set":[135],"component,":[137],"by":[138],"taking":[139],"into":[140],"account":[141],"structure":[143],"production":[145],"process.":[146],"application":[148],"multi-agent":[151],"chain":[153],"simulation":[154],"confirms":[155],"goodness":[157],"be":[161],"implemented":[162],"future":[165],"framework":[166],"analysis":[170],"prediction.":[172]},"counts_by_year":[],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
