{"id":"https://openalex.org/W2057964230","doi":"https://doi.org/10.1145/2396761.2398707","title":"Estimating query difficulty for news prediction retrieval","display_name":"Estimating query difficulty for news prediction retrieval","publication_year":2012,"publication_date":"2012-10-29","ids":{"openalex":"https://openalex.org/W2057964230","doi":"https://doi.org/10.1145/2396761.2398707","mag":"2057964230"},"language":"en","primary_location":{"id":"doi:10.1145/2396761.2398707","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2396761.2398707","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 21st ACM international conference on Information and knowledge management","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/A5017997949","display_name":"Nattiya Kanhabua","orcid":"https://orcid.org/0000-0002-4028-6715"},"institutions":[{"id":"https://openalex.org/I4210136150","display_name":"L3S Research Center","ror":"https://ror.org/039t4wk02","country_code":"DE","type":"facility","lineage":["https://openalex.org/I114112103","https://openalex.org/I4210136150","https://openalex.org/I94509681"]},{"id":"https://openalex.org/I114112103","display_name":"Leibniz University Hannover","ror":"https://ror.org/0304hq317","country_code":"DE","type":"education","lineage":["https://openalex.org/I114112103"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Nattiya Kanhabua","raw_affiliation_strings":["L3S Research Center, Leibniz Universit\u00e4t Hannover, Hannover, Germany"],"affiliations":[{"raw_affiliation_string":"L3S Research Center, Leibniz Universit\u00e4t Hannover, Hannover, Germany","institution_ids":["https://openalex.org/I4210136150","https://openalex.org/I114112103"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5052652788","display_name":"Kjetil N\u00f8rv\u00e5g","orcid":"https://orcid.org/0000-0002-4250-9329"},"institutions":[{"id":"https://openalex.org/I204778367","display_name":"Norwegian University of Science and Technology","ror":"https://ror.org/05xg72x27","country_code":"NO","type":"education","lineage":["https://openalex.org/I204778367"]}],"countries":["NO"],"is_corresponding":false,"raw_author_name":"Kjetil N\u00f8rv\u00e5g","raw_affiliation_strings":["Norwegian University of Science and Technology, Trondheim, Norway","(Norwegian University of Science and Technology, Trondheim, Norway)"],"affiliations":[{"raw_affiliation_string":"Norwegian University of Science and Technology, Trondheim, Norway","institution_ids":["https://openalex.org/I204778367"]},{"raw_affiliation_string":"(Norwegian University of Science and Technology, Trondheim, Norway)","institution_ids":["https://openalex.org/I204778367"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5017997949"],"corresponding_institution_ids":["https://openalex.org/I114112103","https://openalex.org/I4210136150"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.10989199,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2623","last_page":"2626"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9987999796867371,"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"}},"topics":[{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9987999796867371,"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/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9958000183105469,"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/T11106","display_name":"Data Management and Algorithms","score":0.9941999912261963,"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/computer-science","display_name":"Computer science","score":0.8469017148017883},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.659849226474762},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6181102395057678},{"id":"https://openalex.org/keywords/query-expansion","display_name":"Query expansion","score":0.5996664762496948},{"id":"https://openalex.org/keywords/web-query-classification","display_name":"Web query classification","score":0.5014970302581787},{"id":"https://openalex.org/keywords/web-search-query","display_name":"Web search query","score":0.36466044187545776},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.36354339122772217},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.32856521010398865},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.32003945112228394},{"id":"https://openalex.org/keywords/search-engine","display_name":"Search engine","score":0.21992462873458862}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8469017148017883},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.659849226474762},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6181102395057678},{"id":"https://openalex.org/C99016210","wikidata":"https://www.wikidata.org/wiki/Q5488129","display_name":"Query expansion","level":2,"score":0.5996664762496948},{"id":"https://openalex.org/C118689300","wikidata":"https://www.wikidata.org/wiki/Q7978614","display_name":"Web query classification","level":4,"score":0.5014970302581787},{"id":"https://openalex.org/C164120249","wikidata":"https://www.wikidata.org/wiki/Q995982","display_name":"Web search query","level":3,"score":0.36466044187545776},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.36354339122772217},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.32856521010398865},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.32003945112228394},{"id":"https://openalex.org/C97854310","wikidata":"https://www.wikidata.org/wiki/Q19541","display_name":"Search engine","level":2,"score":0.21992462873458862},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1145/2396761.2398707","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2396761.2398707","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 21st ACM international conference on Information and knowledge management","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.299.6268","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.299.6268","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.idi.ntnu.no/~noervaag/papers/CIKM2012_News.pdf","raw_type":"text"},{"id":"pmh:oai:pure.atira.dk:publications/949485f4-731a-472b-91de-72758dbe2d99","is_oa":false,"landing_page_url":"https://vbn.aau.dk/da/publications/949485f4-731a-472b-91de-72758dbe2d99","pdf_url":null,"source":{"id":"https://openalex.org/S4306401731","display_name":"VBN Forskningsportal (Aalborg Universitet)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I891191580","host_organization_name":"Aalborg University","host_organization_lineage":["https://openalex.org/I891191580"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Kanhabua , N &amp; N\u00f8rv\u00e5g , K 2012 , Estimating query difficulty for news prediction retrieval . i Proceedings of the 21st ACM international conference on Information and knowledge management . Association for Computing Machinery , New York, NY, USA , s. 2623-2626 . https://doi.org/10.1145/2396761.2398707","raw_type":"bookPart"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W11235290","https://openalex.org/W575528469","https://openalex.org/W1554728883","https://openalex.org/W1570448133","https://openalex.org/W1577798322","https://openalex.org/W1583102912","https://openalex.org/W1599039699","https://openalex.org/W1608396526","https://openalex.org/W1998450961","https://openalex.org/W1999322447","https://openalex.org/W2027233868","https://openalex.org/W2079168273","https://openalex.org/W2099421013","https://openalex.org/W2145276935","https://openalex.org/W2165389462","https://openalex.org/W2966207845","https://openalex.org/W7028274000"],"related_works":["https://openalex.org/W2096359267","https://openalex.org/W2901901036","https://openalex.org/W2026738364","https://openalex.org/W1521725692","https://openalex.org/W4256058599","https://openalex.org/W2093300859","https://openalex.org/W3008917487","https://openalex.org/W2124814993","https://openalex.org/W2013069866","https://openalex.org/W3197639690"],"abstract_inverted_index":{"News":[0],"prediction":[1,107,126],"retrieval":[2,76],"has":[3,57],"recently":[4],"emerged":[5],"as":[6,24,46,48],"the":[7,40,86,100],"task":[8],"of":[9,43,65],"retrieving":[10,89],"predictions":[11,90],"related":[12],"to":[13,29,60,84],"a":[14,19,62,70,92,131],"given":[15,93],"news":[16,44,72,94,106],"story":[17],"(or":[18],"query).":[20],"Predictions":[21],"are":[22],"defined":[23],"sentences":[25],"containing":[26],"time":[27],"references":[28],"future":[30],"events.":[31],"Such":[32],"future-related":[33],"information":[34],"is":[35,128],"crucially":[36],"important":[37],"for":[38,91,105,115],"understanding":[39],"temporal":[41],"development":[42],"stories,":[45],"well":[47],"strategies":[49],"planning":[50],"and":[51,123],"risk":[52],"management.":[53],"The":[54],"aforementioned":[55],"work":[56],"been":[58],"shown":[59],"retrieve":[61],"significant":[63],"number":[64],"relevant":[66],"predictions.":[67],"However,":[68],"only":[69],"certain":[71],"topics":[73],"achieve":[74],"good":[75],"effectiveness.":[77],"In":[78],"this":[79],"paper,":[80],"we":[81,98,140],"study":[82],"how":[83],"determine":[85],"difficulty":[87,102,149],"in":[88],"story.":[95],"More":[96],"precisely,":[97],"address":[99],"query":[101,148],"estimation":[103],"problem":[104],"retrieval.":[108],"We":[109],"propose":[110],"different":[111],"entity-based":[112],"predictors":[113],"used":[114],"classifying":[116],"queries":[117],"into":[118],"two":[119],"classes,":[120],"namely,":[121],"Easy":[122],"Difficult.":[124],"Our":[125],"model":[127],"based":[129],"on":[130,137],"machine":[132],"learning":[133],"approach.":[134],"Through":[135],"experiments":[136],"real-world":[138],"data,":[139],"show":[141],"that":[142],"our":[143],"proposed":[144],"approach":[145],"can":[146],"predict":[147],"with":[150],"high":[151],"accuracy.":[152]},"counts_by_year":[],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
