{"id":"https://openalex.org/W68836090","doi":null,"title":"FUB at TREC-10 Web track: A probabilistic framework for topic relevance term weighting","display_name":"FUB at TREC-10 Web track: A probabilistic framework for topic relevance term weighting","publication_year":2001,"publication_date":"2001-01-01","ids":{"openalex":"https://openalex.org/W68836090","mag":"68836090"},"language":"en","primary_location":{"id":"mag:68836090","doi":null,"is_oa":false,"landing_page_url":"https://trec.nist.gov/pubs/trec10/papers/fub01.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4306421043","display_name":"Text REtrieval Conference","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":"Text REtrieval Conference","raw_type":null},"volume":null,"type":"conference-paper","is_traditional":true,"indexed_in":[],"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/A5048338565","display_name":"Giambattista Amati","orcid":"https://orcid.org/0000-0002-7067-4583","observed_orcids":["https://orcid.org/0000-0002-7067-4583"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Giambattista Amati","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0002-7067-4583","affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089034149","display_name":"Claudio Carpineto","orcid":"https://orcid.org/0009-0003-1051-9308","observed_orcids":["https://orcid.org/0009-0003-1051-9308"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Claudio Carpineto","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0009-0003-1051-9308","affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5036432554","display_name":"Giovanni Romano","orcid":"https://orcid.org/0009-0007-4611-1514","observed_orcids":["https://orcid.org/0009-0007-4611-1514"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Giovanni Romano","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0009-0007-4611-1514","affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":4.8395,"has_fulltext":false,"cited_by_count":42,"citation_normalized_percentile":{"value":0.95010154,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":88,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"182","last_page":"191"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10286","display_name":"Information Retrieval and Search Behavior","score":0.9994999766349792,"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"}},"topics":[{"id":"https://openalex.org/T10286","display_name":"Information Retrieval and Search Behavior","score":0.9994999766349792,"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/T13083","display_name":"Advanced Text Analysis Techniques","score":9.999999747378752e-05,"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/T10028","display_name":"Topic Modeling","score":9.999999747378752e-05,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/term-weighting","display_name":"term weighting","score":0.8410000205039978},{"id":"https://openalex.org/keywords/probabilistic-framework","display_name":"probabilistic framework","score":0.7039999961853027},{"id":"https://openalex.org/keywords/web-search","display_name":"web search","score":0.5440000295639038},{"id":"https://openalex.org/keywords/parameter-reduction","display_name":"parameter reduction","score":0.6330000162124634},{"id":"https://openalex.org/keywords/relevance-assessment","display_name":"relevance assessment","score":0.48500001430511475}],"concepts":[{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.8595379590988159},{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.8369781970977783},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7928316593170166},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.7507778406143188},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.6694268584251404},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.6425726413726807},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.56292325258255},{"id":"https://openalex.org/C89992363","wikidata":"https://www.wikidata.org/wiki/Q5961558","display_name":"Track (disk drive)","level":2,"score":0.532026469707489},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.45061010122299194},{"id":"https://openalex.org/C2779532271","wikidata":"https://www.wikidata.org/wiki/Q445558","display_name":"Relevance feedback","level":4,"score":0.4352192282676697},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3761747479438782},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3713104724884033},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08994925022125244},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.06091752648353577},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"mag:68836090","doi":null,"is_oa":false,"landing_page_url":"https://trec.nist.gov/pubs/trec10/papers/fub01.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4306421043","display_name":"Text REtrieval Conference","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":"Text REtrieval Conference","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":4,"referenced_works":["https://openalex.org/W1509991416","https://openalex.org/W2034117506","https://openalex.org/W2040242737","https://openalex.org/W2080068076"],"related_works":["https://openalex.org/W7098273879","https://openalex.org/W4200605863","https://openalex.org/W7098868662","https://openalex.org/W3176188302","https://openalex.org/W2149298922","https://openalex.org/W2544513229","https://openalex.org/W2421218773","https://openalex.org/W2132730172","https://openalex.org/W2351074824","https://openalex.org/W87675510"],"abstract_inverted_index":{"The":[0],"main":[1],"investigation":[2],"of":[3,10,16,27,38,52,60,68],"our":[4],"participation":[5],"in":[6,44],"the":[7,13,36,58,66],"WEB":[8],"track":[9],"TREC-10":[11],"concerns":[12],"e":[14],"ectiveness":[15],"a":[17,39,42,45,50],"novel":[18],"probabilistic":[19],"framework":[20],"[1]":[21],"for":[22],"generating":[23],"term":[24],"weighting":[25],"models":[26],"topic":[28],"relevance":[29,77],"retrieval.":[30],"This":[31],"approach":[32],"endeavours":[33],"to":[34],"determine":[35],"weight":[37],"word":[40],"within":[41],"document":[43],"purely":[46],"theoretic":[47],"way":[48],"as":[49,62,64],"combination":[51],"di":[53],"erent":[54],"probability":[55],"distributions,":[56],"with":[57],"goal":[59],"reducing":[61],"much":[63],"possible":[65],"number":[67],"parameters":[69],"which":[70],"must":[71],"be":[72],"learned":[73],"and":[74],"tuned":[75],"from":[76],"assessments":[78],"on":[79],"training":[80],"test":[81],"collections.":[82]},"counts_by_year":[{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":3},{"year":2012,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2016-06-24T00:00:00"}