{"id":"https://openalex.org/W2042716990","doi":"https://doi.org/10.1145/2348283.2348506","title":"Retrieval evaluation on focused tasks","display_name":"Retrieval evaluation on focused tasks","publication_year":2012,"publication_date":"2012-08-12","ids":{"openalex":"https://openalex.org/W2042716990","doi":"https://doi.org/10.1145/2348283.2348506","mag":"2042716990"},"language":"en","primary_location":{"id":"doi:10.1145/2348283.2348506","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2348283.2348506","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 35th international ACM SIGIR conference on Research and development in information retrieval","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/A5001039604","display_name":"Besnik Fetahu","orcid":"https://orcid.org/0000-0002-3343-7992"},"institutions":[{"id":"https://openalex.org/I91712215","display_name":"Saarland University","ror":"https://ror.org/01jdpyv68","country_code":"DE","type":"education","lineage":["https://openalex.org/I91712215"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Besnik Fetahu","raw_affiliation_strings":["Saarland University, Saarbrucken, Germany"],"affiliations":[{"raw_affiliation_string":"Saarland University, Saarbrucken, Germany","institution_ids":["https://openalex.org/I91712215"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5049745760","display_name":"Ralf Schenkel","orcid":"https://orcid.org/0000-0001-5379-5191"},"institutions":[{"id":"https://openalex.org/I91712215","display_name":"Saarland University","ror":"https://ror.org/01jdpyv68","country_code":"DE","type":"education","lineage":["https://openalex.org/I91712215"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Ralf Schenkel","raw_affiliation_strings":["Saarland University, Saarbrucken, Germany"],"affiliations":[{"raw_affiliation_string":"Saarland University, Saarbrucken, Germany","institution_ids":["https://openalex.org/I91712215"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5001039604"],"corresponding_institution_ids":["https://openalex.org/I91712215"],"apc_list":null,"apc_paid":null,"fwci":0.4999,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.78932348,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1135","last_page":"1136"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"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/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"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/T10286","display_name":"Information Retrieval and Search Behavior","score":0.9977999925613403,"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/T13274","display_name":"Expert finding and Q&A systems","score":0.9894999861717224,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/relevance","display_name":"Relevance (law)","score":0.8689206838607788},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.8601073026657104},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7319284081459045},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.5925222635269165},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.5543456077575684},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.5120347142219543},{"id":"https://openalex.org/keywords/learning-to-rank","display_name":"Learning to rank","score":0.5018393993377686},{"id":"https://openalex.org/keywords/monte-carlo-method","display_name":"Monte Carlo method","score":0.4944875240325928},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.36596769094467163},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.36524417996406555},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3566173315048218},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.2733864188194275},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.19303089380264282}],"concepts":[{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.8689206838607788},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.8601073026657104},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7319284081459045},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.5925222635269165},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.5543456077575684},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.5120347142219543},{"id":"https://openalex.org/C86037889","wikidata":"https://www.wikidata.org/wiki/Q4330127","display_name":"Learning to rank","level":3,"score":0.5018393993377686},{"id":"https://openalex.org/C19499675","wikidata":"https://www.wikidata.org/wiki/Q232207","display_name":"Monte Carlo method","level":2,"score":0.4944875240325928},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.36596769094467163},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.36524417996406555},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3566173315048218},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2733864188194275},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19303089380264282},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","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/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/2348283.2348506","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2348283.2348506","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 35th international ACM SIGIR conference on Research and development in information retrieval","raw_type":"proceedings-article"},{"id":"pmh:oai:pure.mpg.de:item_1837047","is_oa":false,"landing_page_url":"http://hdl.handle.net/11858/00-001M-0000-0014-5799-B","pdf_url":null,"source":{"id":"https://openalex.org/S4306400654","display_name":"MPG.PuRe (Max Planck Society)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I149899117","host_organization_name":"Max Planck Society","host_organization_lineage":["https://openalex.org/I149899117"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Proceeding of the 35th International ACM SIGIR Conference on Research and Development in Information Retrieval","raw_type":"info:eu-repo/semantics/other"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W1545292395","https://openalex.org/W1979483312","https://openalex.org/W2118122254","https://openalex.org/W2124504084","https://openalex.org/W2173127389","https://openalex.org/W6683929274","https://openalex.org/W6684708888"],"related_works":["https://openalex.org/W2150136235","https://openalex.org/W2053591227","https://openalex.org/W2581240705","https://openalex.org/W3127142483","https://openalex.org/W2041353081","https://openalex.org/W2568183987","https://openalex.org/W3160516639","https://openalex.org/W4385565564","https://openalex.org/W2898073868","https://openalex.org/W2138488530"],"abstract_inverted_index":{"Ranking":[0],"of":[1,10,21,46],"retrieval":[2],"systems":[3,73],"for":[4,64],"focused":[5],"tasks":[6],"requires":[7],"large":[8],"number":[9,20],"relevance":[11,22,40,53],"judgments.":[12],"We":[13,60],"propose":[14],"an":[15],"approach":[16],"that":[17],"minimizes":[18],"the":[19,25,43,66,70],"judgments,":[23,41],"where":[24],"performance":[26],"measures":[27,36],"are":[28,37,48],"approximated":[29],"using":[30,39,50],"a":[31,51],"Monte-Carlo":[32],"sampling":[33],"technique.":[34],"Partial":[35],"taken":[38],"whereas":[42],"remaining":[44],"part":[45],"passages":[47],"annotated":[49],"generated":[52],"probability":[54],"distribution":[55],"based":[56],"on":[57],"result":[58],"rank.":[59],"define":[61],"two":[62],"conditions":[63],"stopping":[65],"assessment":[67],"procedure":[68],"when":[69],"ranking":[71],"between":[72],"is":[74],"stable.":[75]},"counts_by_year":[{"year":2014,"cited_by_count":1}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
