{"id":"https://openalex.org/W7163026973","doi":"https://doi.org/10.1145/3774935.3812728","title":"Match-it: Group Recommendations in the Age of Mobile Applications","display_name":"Match-it: Group Recommendations in the Age of Mobile Applications","publication_year":2026,"publication_date":"2026-06-01","ids":{"openalex":"https://openalex.org/W7163026973","doi":"https://doi.org/10.1145/3774935.3812728"},"language":null,"primary_location":{"id":"doi:10.1145/3774935.3812728","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3774935.3812728","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 34th ACM Conference on User Modeling, Adaptation and Personalization","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1145/3774935.3812728","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5035037919","display_name":"Ond\u0159ej K\u0159\u00ed\u017e","orcid":null},"institutions":[{"id":"https://openalex.org/I21250087","display_name":"Charles University","ror":"https://ror.org/024d6js02","country_code":"CZ","type":"education","lineage":["https://openalex.org/I21250087"]}],"countries":["CZ"],"is_corresponding":false,"raw_author_name":"Ond\u0159ej K\u0159\u00ed\u017e","raw_affiliation_strings":["Faculty of Mathematics and Physics, Charles University, Prague, Czech Republic"],"raw_orcid":"https://orcid.org/0009-0000-5100-7948","affiliations":[{"raw_affiliation_string":"Faculty of Mathematics and Physics, Charles University, Prague, Czech Republic","institution_ids":["https://openalex.org/I21250087"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045350857","display_name":"Patrik Dokoupil","orcid":"https://orcid.org/0000-0002-1423-628X"},"institutions":[{"id":"https://openalex.org/I21250087","display_name":"Charles University","ror":"https://ror.org/024d6js02","country_code":"CZ","type":"education","lineage":["https://openalex.org/I21250087"]}],"countries":["CZ"],"is_corresponding":false,"raw_author_name":"Patrik Dokoupil","raw_affiliation_strings":["Faculty of Mathematics and Physics, Charles University, Prague, Czech Republic"],"raw_orcid":"https://orcid.org/0000-0002-1423-628X","affiliations":[{"raw_affiliation_string":"Faculty of Mathematics and Physics, Charles University, Prague, Czech Republic","institution_ids":["https://openalex.org/I21250087"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5008815142","display_name":"Ladislav Pe\u0161ka","orcid":"https://orcid.org/0000-0001-8082-4509"},"institutions":[{"id":"https://openalex.org/I21250087","display_name":"Charles University","ror":"https://ror.org/024d6js02","country_code":"CZ","type":"education","lineage":["https://openalex.org/I21250087"]}],"countries":["CZ"],"is_corresponding":false,"raw_author_name":"Ladislav Pe\u0161ka","raw_affiliation_strings":["Faculty of Mathematics and Physics, Charles University, Prague, Czech Republic"],"raw_orcid":"https://orcid.org/0000-0001-8082-4509","affiliations":[{"raw_affiliation_string":"Faculty of Mathematics and Physics, Charles University, Prague, Czech Republic","institution_ids":["https://openalex.org/I21250087"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I21250087"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.65603805,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"510","last_page":"512"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.7267000079154968,"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":0.7267000079154968,"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/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.08959999680519104,"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/T10667","display_name":"Emotion and Mood Recognition","score":0.023600000888109207,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/group","display_name":"Group (periodic table)","score":0.5960999727249146},{"id":"https://openalex.org/keywords/preference","display_name":"Preference","score":0.595300018787384},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.5950000286102295},{"id":"https://openalex.org/keywords/preference-elicitation","display_name":"Preference elicitation","score":0.39969998598098755},{"id":"https://openalex.org/keywords/mobile-device","display_name":"Mobile device","score":0.37700000405311584},{"id":"https://openalex.org/keywords/data-collection","display_name":"Data collection","score":0.34950000047683716},{"id":"https://openalex.org/keywords/foundation","display_name":"Foundation (evidence)","score":0.3443000018596649}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7092000246047974},{"id":"https://openalex.org/C2781311116","wikidata":"https://www.wikidata.org/wiki/Q83306","display_name":"Group (periodic table)","level":2,"score":0.5960999727249146},{"id":"https://openalex.org/C2781249084","wikidata":"https://www.wikidata.org/wiki/Q908656","display_name":"Preference","level":2,"score":0.595300018787384},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.5950000286102295},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.4465999901294708},{"id":"https://openalex.org/C2777868144","wikidata":"https://www.wikidata.org/wiki/Q7239817","display_name":"Preference elicitation","level":3,"score":0.39969998598098755},{"id":"https://openalex.org/C186967261","wikidata":"https://www.wikidata.org/wiki/Q5082128","display_name":"Mobile device","level":2,"score":0.37700000405311584},{"id":"https://openalex.org/C133462117","wikidata":"https://www.wikidata.org/wiki/Q4929239","display_name":"Data collection","level":2,"score":0.34950000047683716},{"id":"https://openalex.org/C2780966255","wikidata":"https://www.wikidata.org/wiki/Q5474306","display_name":"Foundation (evidence)","level":2,"score":0.3443000018596649},{"id":"https://openalex.org/C145912823","wikidata":"https://www.wikidata.org/wiki/Q113558","display_name":"Dynamics (music)","level":2,"score":0.3312000036239624},{"id":"https://openalex.org/C44871818","wikidata":"https://www.wikidata.org/wiki/Q5154139","display_name":"Communication in small groups","level":2,"score":0.329800009727478},{"id":"https://openalex.org/C3017738328","wikidata":"https://www.wikidata.org/wiki/Q613366","display_name":"User group","level":2,"score":0.31769999861717224},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3118000030517578},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.30469998717308044},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.2946999967098236},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.28700000047683716},{"id":"https://openalex.org/C49774154","wikidata":"https://www.wikidata.org/wiki/Q131765","display_name":"Multimedia","level":1,"score":0.2791999876499176},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2646999955177307},{"id":"https://openalex.org/C3019640506","wikidata":"https://www.wikidata.org/wiki/Q839578","display_name":"Group dynamic","level":2,"score":0.2637999951839447},{"id":"https://openalex.org/C144543869","wikidata":"https://www.wikidata.org/wiki/Q2738570","display_name":"Mobile computing","level":2,"score":0.2565999925136566},{"id":"https://openalex.org/C78834623","wikidata":"https://www.wikidata.org/wiki/Q640394","display_name":"Mobile broadband","level":3,"score":0.2554999887943268}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3774935.3812728","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3774935.3812728","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 34th ACM Conference on User Modeling, Adaptation and Personalization","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3774935.3812728","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3774935.3812728","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 34th ACM Conference on User Modeling, Adaptation and Personalization","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W2109777927","https://openalex.org/W2219888463","https://openalex.org/W2620520908","https://openalex.org/W2798538558","https://openalex.org/W2912745432","https://openalex.org/W4302568281","https://openalex.org/W4380874598","https://openalex.org/W4411235960","https://openalex.org/W4411279662"],"related_works":[],"abstract_inverted_index":{"Research":[0],"in":[1,32,101,126,149],"group":[2,30,86,113,147],"recommender":[3],"systems":[4],"(GRS)":[5],"is":[6,163],"still":[7],"largely":[8],"dominated":[9],"by":[10],"offline":[11],"evaluation":[12],"or":[13,22],"simplified":[14],"user":[15],"studies,":[16],"often":[17],"relying":[18],"on":[19],"simulated":[20],"groups":[21],"tightly":[23],"controlled":[24],"synchronous":[25],"interactions.":[26],"However,":[27],"studying":[28,55],"realistic":[29,85,127],"behavior":[31],"real-world":[33,150],"settings":[34],"remains":[35],"challenging":[36],"due":[37],"to":[38,41,71],"the":[39,77,94,102,120],"need":[40],"coordinate":[42],"multiple":[43,116],"users":[44,59,70],"simultaneously.":[45],"In":[46],"this":[47,132],"work,":[48],"we":[49,92],"present":[50],"a":[51,65,98,135,160],"general":[52],"framework":[53,78,95,133],"for":[54,138],"GRS":[56,151],"with":[57],"real":[58],"through":[60],"distributed":[61],"interaction":[62],"without":[63],"requiring":[64],"shared":[66],"interface.":[67],"By":[68],"allowing":[69],"provide":[72],"preferences":[73],"independently":[74],"over":[75],"time,":[76],"reduces":[79],"coordination":[80],"barriers":[81],"and":[82,104,115,146],"enables":[83],"more":[84],"studies.":[87],"To":[88],"demonstrate":[89],"its":[90],"applicability,":[91],"instantiate":[93],"as":[96,143],"Match-it,":[97],"mobile":[99],"application":[100,108],"movie":[103],"restaurant":[105],"domains.":[106],"The":[107],"supports":[109],"preference":[110],"elicitation,":[111],"iterative":[112],"interaction,":[114],"recommendation":[117],"strategies,":[118],"enabling":[119],"collection":[121],"of":[122],"rich":[123],"behavioral":[124],"data":[125],"settings.":[128],"We":[129],"argue":[130],"that":[131],"provides":[134],"practical":[136],"foundation":[137],"investigating":[139],"user-centric":[140],"challenges":[141],"such":[142],"fairness,":[144],"satisfaction,":[145],"dynamics":[148],"scenarios.":[152],"Source":[153],"codes":[154],"are":[155],"available":[156,164],"from":[157,165],"https://osf.io/5wpbj,":[158],"while":[159],"demonstration":[161],"video":[162],"https://youtu.be/MYrbK1zM0lk.":[166]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2026-06-02T00:00:00"}