{"id":"https://openalex.org/W1054489259","doi":"https://doi.org/10.1145/2740908.2742140","title":"Exploriometer","display_name":"Exploriometer","publication_year":2015,"publication_date":"2015-05-18","ids":{"openalex":"https://openalex.org/W1054489259","doi":"https://doi.org/10.1145/2740908.2742140","mag":"1054489259"},"language":"en","primary_location":{"id":"doi:10.1145/2740908.2742140","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2740908.2742140","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 24th International Conference on World Wide Web","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/A5002175204","display_name":"Evangelos Chatzicharalampous","orcid":null},"institutions":[{"id":"https://openalex.org/I21370196","display_name":"Aristotle University of Thessaloniki","ror":"https://ror.org/02j61yw88","country_code":"GR","type":"education","lineage":["https://openalex.org/I21370196"]}],"countries":["GR"],"is_corresponding":true,"raw_author_name":"Evangelos Chatzicharalampous","raw_affiliation_strings":["Informatics Dept, Aristotle University, Thessaloniki, Greece"],"affiliations":[{"raw_affiliation_string":"Informatics Dept, Aristotle University, Thessaloniki, Greece","institution_ids":["https://openalex.org/I21370196"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111403270","display_name":"Zigkolis Christos","orcid":null},"institutions":[{"id":"https://openalex.org/I21370196","display_name":"Aristotle University of Thessaloniki","ror":"https://ror.org/02j61yw88","country_code":"GR","type":"education","lineage":["https://openalex.org/I21370196"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Zigkolis Christos","raw_affiliation_strings":["Informatics Dept, Aristotle University, Thessaloniki, Greece"],"affiliations":[{"raw_affiliation_string":"Informatics Dept, Aristotle University, Thessaloniki, Greece","institution_ids":["https://openalex.org/I21370196"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5002623428","display_name":"Athena Vakali","orcid":"https://orcid.org/0000-0002-0666-6984"},"institutions":[{"id":"https://openalex.org/I21370196","display_name":"Aristotle University of Thessaloniki","ror":"https://ror.org/02j61yw88","country_code":"GR","type":"education","lineage":["https://openalex.org/I21370196"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Athena Vakali","raw_affiliation_strings":["Informatics Dept, Aristotle University, Thessaloniki, Greece"],"affiliations":[{"raw_affiliation_string":"Informatics Dept, Aristotle University, Thessaloniki, Greece","institution_ids":["https://openalex.org/I21370196"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5002175204"],"corresponding_institution_ids":["https://openalex.org/I21370196"],"apc_list":null,"apc_paid":null,"fwci":1.5892,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.86730099,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1463","last_page":"1468"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9998999834060669,"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/T10203","display_name":"Recommender Systems and Techniques","score":0.9998999834060669,"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/T10609","display_name":"Digital Marketing and Social Media","score":0.97079998254776,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11165","display_name":"Image and Video Quality Assessment","score":0.9577999711036682,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/movielens","display_name":"MovieLens","score":0.8760050535202026},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7598434090614319},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.5901600122451782},{"id":"https://openalex.org/keywords/variety","display_name":"Variety (cybernetics)","score":0.5695620775222778},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5516416430473328},{"id":"https://openalex.org/keywords/collaborative-filtering","display_name":"Collaborative filtering","score":0.5499128103256226},{"id":"https://openalex.org/keywords/cover","display_name":"Cover (algebra)","score":0.5404601097106934},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5278133153915405},{"id":"https://openalex.org/keywords/polyphony","display_name":"Polyphony","score":0.5046583414077759},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.4847866892814636},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.47527259588241577},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.47455674409866333},{"id":"https://openalex.org/keywords/diversity","display_name":"Diversity (politics)","score":0.4695846438407898},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4464768171310425},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.43911001086235046},{"id":"https://openalex.org/keywords/order","display_name":"Order (exchange)","score":0.4212288558483124},{"id":"https://openalex.org/keywords/variation","display_name":"Variation (astronomy)","score":0.418010950088501},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.35269588232040405},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.35268497467041016}],"concepts":[{"id":"https://openalex.org/C2776156558","wikidata":"https://www.wikidata.org/wiki/Q4353746","display_name":"MovieLens","level":4,"score":0.8760050535202026},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7598434090614319},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.5901600122451782},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.5695620775222778},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5516416430473328},{"id":"https://openalex.org/C21569690","wikidata":"https://www.wikidata.org/wiki/Q94702","display_name":"Collaborative filtering","level":3,"score":0.5499128103256226},{"id":"https://openalex.org/C2780428219","wikidata":"https://www.wikidata.org/wiki/Q16952335","display_name":"Cover (algebra)","level":2,"score":0.5404601097106934},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5278133153915405},{"id":"https://openalex.org/C128979739","wikidata":"https://www.wikidata.org/wiki/Q179465","display_name":"Polyphony","level":2,"score":0.5046583414077759},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.4847866892814636},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.47527259588241577},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.47455674409866333},{"id":"https://openalex.org/C2781316041","wikidata":"https://www.wikidata.org/wiki/Q1230584","display_name":"Diversity (politics)","level":2,"score":0.4695846438407898},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4464768171310425},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.43911001086235046},{"id":"https://openalex.org/C182306322","wikidata":"https://www.wikidata.org/wiki/Q1779371","display_name":"Order (exchange)","level":2,"score":0.4212288558483124},{"id":"https://openalex.org/C2778334786","wikidata":"https://www.wikidata.org/wiki/Q1586270","display_name":"Variation (astronomy)","level":2,"score":0.418010950088501},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.35269588232040405},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.35268497467041016},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C44870925","wikidata":"https://www.wikidata.org/wiki/Q37547","display_name":"Astrophysics","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C19165224","wikidata":"https://www.wikidata.org/wiki/Q23404","display_name":"Anthropology","level":1,"score":0.0},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","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},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2740908.2742140","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2740908.2742140","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 24th International Conference on World Wide Web","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.5}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W29625609","https://openalex.org/W1582340466","https://openalex.org/W1966553486","https://openalex.org/W1980283324","https://openalex.org/W1987796481","https://openalex.org/W1988625484","https://openalex.org/W2007636657","https://openalex.org/W2016210396","https://openalex.org/W2040559836","https://openalex.org/W2042281163","https://openalex.org/W2043403353","https://openalex.org/W2085937320","https://openalex.org/W2100235918","https://openalex.org/W2147859400","https://openalex.org/W2155106456","https://openalex.org/W2155893006","https://openalex.org/W2155912844","https://openalex.org/W2159094788","https://openalex.org/W2161676175","https://openalex.org/W2165949563","https://openalex.org/W2184049467","https://openalex.org/W3122125470","https://openalex.org/W3124163687","https://openalex.org/W3125944471","https://openalex.org/W4232980324","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W2355698112","https://openalex.org/W2022984797","https://openalex.org/W4394818607","https://openalex.org/W2986679525","https://openalex.org/W2797500822","https://openalex.org/W2794458286","https://openalex.org/W4205822456","https://openalex.org/W4299358966","https://openalex.org/W2537367858","https://openalex.org/W4288082747"],"abstract_inverted_index":{"Since":[0],"the":[1,19,27,44,52,58,71,117,244,250,270],"first":[2],"introduced":[3],"Collaborative":[4],"Filtering":[5],"Recommenders":[6],"(CFR)":[7],"there":[8,32],"have":[9,37],"been":[10,205],"many":[11],"attempts":[12],"to":[13,43,54,74,172,196,248],"improve":[14],"their":[15,161],"performance":[16],"by":[17,79,102,116,207,224,243],"enhancing":[18],"prediction":[20,25],"accuracy.":[21],"Even":[22],"though":[23],"rating":[24,162],"is":[26,63],"prevailing":[28],"paradigm":[29],"in":[30,112,135,140,170,194],"CFR,":[31],"are":[33,168],"other":[34],"issues":[35],"which":[36,50,55,131,151],"gained":[38],"significant":[39],"attention":[40],"with":[41,68,105,216,231],"respect":[42],"content":[45,122],"and":[46,96,175,178,212,219,228,267],"its":[47],"variety.":[48],"Coverage,":[49],"constitutes":[51],"degree":[53],"recommendations":[56,222],"cover":[57,138],"set":[59],"of":[60,70,86,145,252,269],"available":[61],"items,":[62],"an":[64,75,80],"important":[65],"factor":[66],"along":[67],"diversity":[69,97,218,251,268],"items":[72],"proposed":[73,202],"individual,":[76],"often":[77],"measured":[78],"average":[81],"dissimilarity":[82],"between":[83],"all":[84],"pairs":[85],"recommended":[87,253],"items.":[88,254],"In":[89],"this":[90],"paper,":[91],"we":[92,124,181,187],"argue":[93],"that":[94,259],"coverage":[95,177,266],"cannot":[98],"be":[99],"effectively":[100],"addressed":[101],"conventional":[103],"CFR":[104,227,229],"pure":[106],"similarity-based":[107],"neighborhood":[108,233],"creation":[109,234],"processes,":[110],"especially":[111,272],"sparse":[113,274],"datasets.":[114,275],"Motivated":[115],"need":[118],"for":[119,157],"including":[120],"wider":[121],"characteristics,":[123],"propose":[125],"a":[126,146,154,191,239],"novel":[127],"neighbor":[128,261],"selection":[129,262],"technique":[130,263],"emphasizes":[132],"on":[133,160,273],"variety":[134],"preferences":[136],"(to":[137],"polyphony":[139],"selection).":[141],"Our":[142],"approach":[143,203],"consists":[144],"new":[147,240],"metric,":[148,241],"named":[149],"\"Exploriometer\",":[150],"acts":[152],"as":[153,190],"personality":[155],"trait":[156],"users":[158,166,185],"based":[159],"behavior.":[163],"We":[164,236],"favor":[165],"who":[167],"explorers":[169],"order":[171,195],"increase":[173],"polyphony,":[174],"subsequently":[176],"diversity;":[179],"but":[180],"still":[182],"select":[183],"similar":[184],"when":[186],"create":[188],"neighborhoods":[189],"solid":[192],"basis":[193],"keep":[197],"accuracy":[198,220],"levels":[199],"high.":[200],"The":[201,255],"has":[204],"experimented":[206],"two":[208],"real-world":[209],"datasets":[210],"(MovieLens":[211],"Yahoo!":[213],"Music":[214],")":[215],"coverage,":[217],"aware":[221],"extracted":[223],"both":[225],"traditional":[226],"enhanced":[230],"our":[232,260],"process.":[235],"also":[237],"introduce":[238],"inspired":[242],"Pearson":[245],"Correlation":[246],"Coefficient,":[247],"estimate":[249],"derived":[256],"results":[257],"demonstrate":[258],"can":[264],"enhance":[265],"recommendations,":[271]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2017,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2016-06-24T00:00:00"}
