{"id":"https://openalex.org/W2065919272","doi":"https://doi.org/10.1145/2063576.2063870","title":"Hybrid models for future event prediction","display_name":"Hybrid models for future event prediction","publication_year":2011,"publication_date":"2011-10-24","ids":{"openalex":"https://openalex.org/W2065919272","doi":"https://doi.org/10.1145/2063576.2063870","mag":"2065919272"},"language":"en","primary_location":{"id":"doi:10.1145/2063576.2063870","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2063576.2063870","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 20th ACM international conference on Information and knowledge management","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":null,"any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5017860746","display_name":"Giuseppe Amodeo","orcid":"https://orcid.org/0000-0002-5316-2770"},"institutions":[{"id":"https://openalex.org/I26415053","display_name":"University of L'Aquila","ror":"https://ror.org/01j9p1r26","country_code":"IT","type":"education","lineage":["https://openalex.org/I26415053"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Giuseppe Amodeo","raw_affiliation_strings":["University of L'Aquila, L'Aquila, Italy","University of L'Aquila, L'Aquila ,Italy#TAB#"],"affiliations":[{"raw_affiliation_string":"University of L'Aquila, L'Aquila, Italy","institution_ids":["https://openalex.org/I26415053"]},{"raw_affiliation_string":"University of L'Aquila, L'Aquila ,Italy#TAB#","institution_ids":["https://openalex.org/I26415053"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021439660","display_name":"Roi Blanco","orcid":null},"institutions":[{"id":"https://openalex.org/I2800095910","display_name":"Yahoo (Spain)","ror":"https://ror.org/03gq8sg42","country_code":"ES","type":"company","lineage":["https://openalex.org/I2800095910","https://openalex.org/I4210134091"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Roi Blanco","raw_affiliation_strings":["Yahoo! Research, Barcelona, Spain"],"affiliations":[{"raw_affiliation_string":"Yahoo! Research, Barcelona, Spain","institution_ids":["https://openalex.org/I2800095910"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5049583553","display_name":"Ulf Brefeld","orcid":"https://orcid.org/0000-0001-9600-6463"},"institutions":[{"id":"https://openalex.org/I2800095910","display_name":"Yahoo (Spain)","ror":"https://ror.org/03gq8sg42","country_code":"ES","type":"company","lineage":["https://openalex.org/I2800095910","https://openalex.org/I4210134091"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Ulf Brefeld","raw_affiliation_strings":["Yahoo! Research, Barcelona, Spain"],"affiliations":[{"raw_affiliation_string":"Yahoo! Research, Barcelona, Spain","institution_ids":["https://openalex.org/I2800095910"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5017860746"],"corresponding_institution_ids":["https://openalex.org/I26415053"],"apc_list":null,"apc_paid":null,"fwci":4.3674,"has_fulltext":false,"cited_by_count":32,"citation_normalized_percentile":{"value":0.95074501,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1981","last_page":"1984"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.995199978351593,"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/T11106","display_name":"Data Management and Algorithms","score":0.9927999973297119,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/probabilistic-logic","display_name":"Probabilistic logic","score":0.7490662336349487},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7217808961868286},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.6831255555152893},{"id":"https://openalex.org/keywords/autocorrelation","display_name":"Autocorrelation","score":0.6692675352096558},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.5880680680274963},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.5598912239074707},{"id":"https://openalex.org/keywords/baseline","display_name":"Baseline (sea)","score":0.543098509311676},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4669177532196045},{"id":"https://openalex.org/keywords/statistical-model","display_name":"Statistical model","score":0.4263269603252411},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.41532397270202637},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.374573290348053},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.17240864038467407},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12256765365600586}],"concepts":[{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.7490662336349487},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7217808961868286},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.6831255555152893},{"id":"https://openalex.org/C5297727","wikidata":"https://www.wikidata.org/wiki/Q786970","display_name":"Autocorrelation","level":2,"score":0.6692675352096558},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.5880680680274963},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.5598912239074707},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.543098509311676},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4669177532196045},{"id":"https://openalex.org/C114289077","wikidata":"https://www.wikidata.org/wiki/Q3284399","display_name":"Statistical model","level":2,"score":0.4263269603252411},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.41532397270202637},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.374573290348053},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.17240864038467407},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12256765365600586},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/2063576.2063870","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2063576.2063870","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 20th ACM international conference on Information and knowledge management","raw_type":"proceedings-article"},{"id":"pmh:oai:figshare.com:article/27400173","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"}],"best_oa_location":{"id":"pmh:oai:figshare.com:article/27400173","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W84889933","https://openalex.org/W1984919363","https://openalex.org/W2014415866","https://openalex.org/W2017947603","https://openalex.org/W2024760831","https://openalex.org/W2040546864","https://openalex.org/W2047054954","https://openalex.org/W2057034832","https://openalex.org/W2102177432","https://openalex.org/W2137958271","https://openalex.org/W2147634746","https://openalex.org/W2153340721","https://openalex.org/W2156897567","https://openalex.org/W2313953460","https://openalex.org/W2760089659","https://openalex.org/W2798058877","https://openalex.org/W6603453264","https://openalex.org/W6681546658","https://openalex.org/W6700624618"],"related_works":["https://openalex.org/W2383111961","https://openalex.org/W2365952365","https://openalex.org/W2352448290","https://openalex.org/W2002739602","https://openalex.org/W1968042686","https://openalex.org/W2897881820","https://openalex.org/W2345647014","https://openalex.org/W2201192772","https://openalex.org/W3136891595","https://openalex.org/W1964819397"],"abstract_inverted_index":{"We":[0],"present":[1],"a":[2,17,19,51,59],"hybrid":[3,60,95],"method":[4],"to":[5,33,49,54,88,98],"turn":[6],"off-the-shelf":[7],"information":[8],"retrieval":[9],"(IR)":[10],"systems":[11],"into":[12],"future":[13,56,101],"event":[14,102],"predictors.":[15],"Given":[16],"query,":[18],"time":[20],"series":[21],"model":[22,53,61],"is":[23,47,62],"trained":[24],"on":[25,75],"the":[26,30,39,66,69,76],"publication":[27],"dates":[28],"of":[29,38,44,85],"retrieved":[31],"documents":[32],"capture":[34],"trends":[35],"and":[36,68,92],"periodicity":[37,43],"associated":[40],"events.":[41],"The":[42],"historic":[45],"data":[46],"used":[48],"estimate":[50],"probabilistic":[52,67],"predict":[55],"bursts.":[57],"Finally,":[58],"obtained":[63],"by":[64],"intertwining":[65],"time-series":[70,86],"model.":[71],"Our":[72],"empirical":[73],"results":[74],"New":[77],"York":[78],"Times":[79],"corpus":[80],"show":[81],"that":[82,93],"autocorrelation":[83],"functions":[84],"suffice":[87],"classify":[89],"queries":[90],"accurately":[91],"our":[94],"models":[96],"lead":[97],"more":[99],"accurate":[100],"predictions":[103],"than":[104],"baseline":[105],"competitors.":[106]},"counts_by_year":[{"year":2022,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":5},{"year":2014,"cited_by_count":5},{"year":2013,"cited_by_count":5},{"year":2012,"cited_by_count":4}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
