{"id":"https://openalex.org/W2238295868","doi":"https://doi.org/10.1145/2837689.2837705","title":"Synthesis of partial rankings of points of interest using crowdsourcing","display_name":"Synthesis of partial rankings of points of interest using crowdsourcing","publication_year":2015,"publication_date":"2015-11-26","ids":{"openalex":"https://openalex.org/W2238295868","doi":"https://doi.org/10.1145/2837689.2837705","mag":"2238295868"},"language":"en","primary_location":{"id":"doi:10.1145/2837689.2837705","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2837689.2837705","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 9th Workshop on Geographic 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/A5011709144","display_name":"Ilkcan Keles","orcid":"https://orcid.org/0000-0002-1424-5223"},"institutions":[{"id":"https://openalex.org/I891191580","display_name":"Aalborg University","ror":"https://ror.org/04m5j1k67","country_code":"DK","type":"education","lineage":["https://openalex.org/I891191580"]}],"countries":["DK"],"is_corresponding":true,"raw_author_name":"Ilkcan Keles","raw_affiliation_strings":["Aalborg University, Denmark"],"affiliations":[{"raw_affiliation_string":"Aalborg University, Denmark","institution_ids":["https://openalex.org/I891191580"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090542212","display_name":"Simonas \u0160altenis","orcid":"https://orcid.org/0000-0002-2046-6110"},"institutions":[{"id":"https://openalex.org/I891191580","display_name":"Aalborg University","ror":"https://ror.org/04m5j1k67","country_code":"DK","type":"education","lineage":["https://openalex.org/I891191580"]}],"countries":["DK"],"is_corresponding":false,"raw_author_name":"Simonas Saltenis","raw_affiliation_strings":["Aalborg University, Denmark"],"affiliations":[{"raw_affiliation_string":"Aalborg University, Denmark","institution_ids":["https://openalex.org/I891191580"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5029380368","display_name":"Christian S. Jensen","orcid":"https://orcid.org/0000-0002-9697-7670"},"institutions":[{"id":"https://openalex.org/I891191580","display_name":"Aalborg University","ror":"https://ror.org/04m5j1k67","country_code":"DK","type":"education","lineage":["https://openalex.org/I891191580"]}],"countries":["DK"],"is_corresponding":false,"raw_author_name":"Christian S. Jensen","raw_affiliation_strings":["Aalborg University, Denmark"],"affiliations":[{"raw_affiliation_string":"Aalborg University, Denmark","institution_ids":["https://openalex.org/I891191580"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5011709144"],"corresponding_institution_ids":["https://openalex.org/I891191580"],"apc_list":null,"apc_paid":null,"fwci":3.0836,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.92619614,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":97},"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/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":1.0,"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":1.0,"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/T13274","display_name":"Expert finding and Q&A systems","score":0.9939000010490417,"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/T10286","display_name":"Information Retrieval and Search Behavior","score":0.9769999980926514,"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/ranking","display_name":"Ranking (information retrieval)","score":0.8674401044845581},{"id":"https://openalex.org/keywords/relevance","display_name":"Relevance (law)","score":0.7920064926147461},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7881690263748169},{"id":"https://openalex.org/keywords/crowdsourcing","display_name":"Crowdsourcing","score":0.7266632318496704},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.7262604832649231},{"id":"https://openalex.org/keywords/pairwise-comparison","display_name":"Pairwise comparison","score":0.6305207014083862},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.5351855158805847},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.4843350648880005},{"id":"https://openalex.org/keywords/learning-to-rank","display_name":"Learning to rank","score":0.44914770126342773},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.44296663999557495},{"id":"https://openalex.org/keywords/search-engine","display_name":"Search engine","score":0.4280029535293579},{"id":"https://openalex.org/keywords/voting","display_name":"Voting","score":0.4198412299156189},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.33866214752197266},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.303097128868103},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.18394798040390015}],"concepts":[{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.8674401044845581},{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.7920064926147461},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7881690263748169},{"id":"https://openalex.org/C62230096","wikidata":"https://www.wikidata.org/wiki/Q275969","display_name":"Crowdsourcing","level":2,"score":0.7266632318496704},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.7262604832649231},{"id":"https://openalex.org/C184898388","wikidata":"https://www.wikidata.org/wiki/Q1435712","display_name":"Pairwise comparison","level":2,"score":0.6305207014083862},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.5351855158805847},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.4843350648880005},{"id":"https://openalex.org/C86037889","wikidata":"https://www.wikidata.org/wiki/Q4330127","display_name":"Learning to rank","level":3,"score":0.44914770126342773},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.44296663999557495},{"id":"https://openalex.org/C97854310","wikidata":"https://www.wikidata.org/wiki/Q19541","display_name":"Search engine","level":2,"score":0.4280029535293579},{"id":"https://openalex.org/C520049643","wikidata":"https://www.wikidata.org/wiki/Q189760","display_name":"Voting","level":3,"score":0.4198412299156189},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.33866214752197266},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.303097128868103},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.18394798040390015},{"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/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","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},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/2837689.2837705","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2837689.2837705","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 9th Workshop on Geographic Information Retrieval","raw_type":"proceedings-article"},{"id":"pmh:oai:pure.atira.dk:publications/c747127f-9e73-40c9-9e69-9d0140f9eaf0","is_oa":false,"landing_page_url":"https://vbn.aau.dk/da/publications/c747127f-9e73-40c9-9e69-9d0140f9eaf0","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":"Keles , I , Saltenis , S &amp; Jensen , C S 2015 , Synthesis of Partial Rankings of Points of Interest Using Crowdsourcing . in Proceedings of the 9th Workshop on Geographic Information Retrieval . , 15 , Association for Computing Machinery , 9th Workshop on Geographic Information Retrieval , Paris , France , 26/11/2015 . https://doi.org/10.1145/2837689.2837705","raw_type":"contributionToPeriodical"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1180437426","https://openalex.org/W1488582764","https://openalex.org/W1497983610","https://openalex.org/W1525088415","https://openalex.org/W1551839888","https://openalex.org/W1583345983","https://openalex.org/W1590411898","https://openalex.org/W1875199223","https://openalex.org/W1964912686","https://openalex.org/W1974554406","https://openalex.org/W1979483312","https://openalex.org/W2013784666","https://openalex.org/W2028818097","https://openalex.org/W2063244649","https://openalex.org/W2096519149","https://openalex.org/W2138965424","https://openalex.org/W2139516750","https://openalex.org/W2141538344","https://openalex.org/W2145492473","https://openalex.org/W2161126263","https://openalex.org/W2164545125","https://openalex.org/W2168144930"],"related_works":["https://openalex.org/W3032998312","https://openalex.org/W135177976","https://openalex.org/W4384486036","https://openalex.org/W1503094549","https://openalex.org/W2337920774","https://openalex.org/W4286908577","https://openalex.org/W2886410948","https://openalex.org/W4378713479","https://openalex.org/W4391147898","https://openalex.org/W4379381520"],"abstract_inverted_index":{"The":[0],"web":[1],"is":[2,67,148],"increasingly":[3],"being":[4,56],"accessed":[5],"from":[6,94],"mobile":[7],"devices,":[8],"and":[9,32,48,145],"studies":[10],"suggest":[11],"that":[12,25,33,86,110,133,135,146],"a":[13,84,88,120],"large":[14],"fraction":[15],"of":[16,64,75,90,92,113,116,150],"keyword-based":[17],"search":[18],"engine":[19],"queries":[20],"have":[21],"local":[22,30],"intent,":[23],"meaning":[24],"users":[26],"are":[27],"interested":[28],"in":[29,55,119,142],"content":[31],"the":[34,45,49,62,73,76,103,114,131,136],"underlying":[35],"ranking":[36,65,80,89],"function":[37],"should":[38],"take":[39],"into":[40],"account":[41],"both":[42],"relevance":[43,99],"to":[44,58,68,71,96],"query":[46,50],"keywords":[47],"location.":[51],"A":[52],"key":[53],"challenge":[54],"able":[57,70],"make":[59],"progress":[60],"on":[61,125,130,155],"design":[63],"functions":[66],"be":[69],"assess":[72],"quality":[74,115],"results":[77,141],"returned":[78],"by":[79],"functions.":[81],"We":[82,123],"propose":[83,106],"model":[85,138],"synthesizes":[87],"points":[91],"interest":[93],"answers":[95],"crowdsourced":[97],"pairwise":[98],"questions.":[100],"To":[101],"evaluate":[102],"model,":[104],"we":[105],"an":[107,126,152],"innovative":[108],"methodology":[109,132],"enables":[111],"evaluation":[112,128],"synthesized":[117],"rankings":[118],"simulated":[121],"setting.":[122],"report":[124],"experimental":[127],"based":[129,154],"shows":[134],"proposed":[137],"produces":[139],"promising":[140],"pertinent":[143],"settings":[144],"it":[147],"capable":[149],"outperforming":[151],"approach":[153],"majority":[156],"voting.":[157]},"counts_by_year":[{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":3}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
