{"id":"https://openalex.org/W2758089162","doi":"https://doi.org/10.1145/3125620","title":"Suggesting Points-of-Interest via Content-Based, Collaborative, and Hybrid Fusion Methods in\u00a0Mobile\u00a0Devices","display_name":"Suggesting Points-of-Interest via Content-Based, Collaborative, and Hybrid Fusion Methods in\u00a0Mobile\u00a0Devices","publication_year":2017,"publication_date":"2017-09-29","ids":{"openalex":"https://openalex.org/W2758089162","doi":"https://doi.org/10.1145/3125620","mag":"2758089162"},"language":"en","primary_location":{"id":"doi:10.1145/3125620","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3125620","pdf_url":null,"source":{"id":"https://openalex.org/S4394735545","display_name":"ACM Transactions on Information Systems","issn_l":"1046-8188","issn":["1046-8188","1558-2868"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Information Systems","raw_type":"journal-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/A5058891144","display_name":"Avi Arampatzis","orcid":"https://orcid.org/0000-0003-2415-4592"},"institutions":[{"id":"https://openalex.org/I147962203","display_name":"Democritus University of Thrace","ror":"https://ror.org/03bfqnx40","country_code":"GR","type":"education","lineage":["https://openalex.org/I147962203"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Avi Arampatzis","raw_affiliation_strings":["Democritus University of Thrace, Xanthi, Greece"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Democritus University of Thrace, Xanthi, Greece","institution_ids":["https://openalex.org/I147962203"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5050542796","display_name":"Georgios Kalamatianos","orcid":"https://orcid.org/0000-0002-2435-1863"},"institutions":[{"id":"https://openalex.org/I147962203","display_name":"Democritus University of Thrace","ror":"https://ror.org/03bfqnx40","country_code":"GR","type":"education","lineage":["https://openalex.org/I147962203"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Georgios Kalamatianos","raw_affiliation_strings":["Democritus University of Thrace, Xanthi, Greece"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Democritus University of Thrace, Xanthi, Greece","institution_ids":["https://openalex.org/I147962203"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I147962203"],"apc_list":null,"apc_paid":null,"fwci":7.9362,"has_fulltext":false,"cited_by_count":28,"citation_normalized_percentile":{"value":0.97486596,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"36","issue":"3","first_page":"1","last_page":"28"},"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":0.9957000017166138,"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/T11478","display_name":"Caching and Content Delivery","score":0.9858999848365784,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/computer-science","display_name":"Computer science","score":0.8592024445533752},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5971404314041138},{"id":"https://openalex.org/keywords/collaborative-filtering","display_name":"Collaborative filtering","score":0.5560994148254395},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.5546777844429016},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4464711546897888},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.4440288841724396},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.3402419686317444},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.26113802194595337}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8592024445533752},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5971404314041138},{"id":"https://openalex.org/C21569690","wikidata":"https://www.wikidata.org/wiki/Q94702","display_name":"Collaborative filtering","level":3,"score":0.5560994148254395},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.5546777844429016},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4464711546897888},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.4440288841724396},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.3402419686317444},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.26113802194595337},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3125620","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3125620","pdf_url":null,"source":{"id":"https://openalex.org/S4394735545","display_name":"ACM Transactions on Information Systems","issn_l":"1046-8188","issn":["1046-8188","1558-2868"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Information Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/8","display_name":"Decent work and economic growth","score":0.6000000238418579}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":60,"referenced_works":["https://openalex.org/W36361912","https://openalex.org/W146097312","https://openalex.org/W192167603","https://openalex.org/W568803547","https://openalex.org/W591142626","https://openalex.org/W1486317198","https://openalex.org/W1532325895","https://openalex.org/W1560147776","https://openalex.org/W1662336185","https://openalex.org/W1736726159","https://openalex.org/W1800745661","https://openalex.org/W1930859353","https://openalex.org/W1973444471","https://openalex.org/W1985258161","https://openalex.org/W1988144039","https://openalex.org/W1988686126","https://openalex.org/W2012506084","https://openalex.org/W2017254898","https://openalex.org/W2022097286","https://openalex.org/W2022519373","https://openalex.org/W2025605741","https://openalex.org/W2029009258","https://openalex.org/W2045893243","https://openalex.org/W2052617913","https://openalex.org/W2052626679","https://openalex.org/W2068088950","https://openalex.org/W2070786785","https://openalex.org/W2073013176","https://openalex.org/W2104679989","https://openalex.org/W2112740959","https://openalex.org/W2120571300","https://openalex.org/W2121227816","https://openalex.org/W2124558600","https://openalex.org/W2124905942","https://openalex.org/W2125277560","https://openalex.org/W2164547069","https://openalex.org/W2185885129","https://openalex.org/W2205119945","https://openalex.org/W2222911438","https://openalex.org/W2294660937","https://openalex.org/W2346242649","https://openalex.org/W2347257810","https://openalex.org/W2395375753","https://openalex.org/W2460272942","https://openalex.org/W2480535768","https://openalex.org/W2486573584","https://openalex.org/W2561675875","https://openalex.org/W2571930701","https://openalex.org/W2572279070","https://openalex.org/W2574111519","https://openalex.org/W2575421826","https://openalex.org/W2577984450","https://openalex.org/W2578107759","https://openalex.org/W2578118947","https://openalex.org/W2579101713","https://openalex.org/W2604432325","https://openalex.org/W2768581363","https://openalex.org/W3134043158","https://openalex.org/W4213009331","https://openalex.org/W4245605774"],"related_works":["https://openalex.org/W2772628444","https://openalex.org/W2735929803","https://openalex.org/W4220714703","https://openalex.org/W1484355083","https://openalex.org/W3008845055","https://openalex.org/W2098758514","https://openalex.org/W4376854386","https://openalex.org/W2202724490","https://openalex.org/W2508671622","https://openalex.org/W2556532874"],"abstract_inverted_index":{"Recommending":[0],"venues":[1],"or":[2,60],"points-of-interest":[3],"(POIs)":[4],"is":[5,36,70],"a":[6,47],"hot":[7],"topic":[8],"in":[9,85,136,214],"recent":[10],"years,":[11],"especially":[12,164],"for":[13,113,185],"tourism":[14],"applications":[15],"and":[16,21,31,46,78,87,105,140,158,176,188,206],"mobile":[17,155],"users.":[18],"We":[19],"propose":[20],"evaluate":[22],"several":[23,58],"suggestion":[24],"methods,":[25,54,163],"taking":[26],"an":[27],"effectiveness,":[28,125],"feasibility,":[29,156],"efficiency,":[30,157],"privacy":[32,177],"perspective.":[33],"The":[34],"task":[35],"addressed":[37],"by":[38,80,147],"two":[39,73],"content-based":[40,121,162],"methods":[41,62,122,143],"(a":[42],"Weighted":[43],"kNN":[44],"classifier":[45],"Rated":[48,165],"Rocchio":[49],"personalized":[50],"query),":[51],"Collaborative":[52,170],"Filtering":[53],"as":[55,57],"well":[56],"(rank-based":[59],"rating-based)":[61],"of":[63,66,209],"merging":[64,142],"results":[65,146],"different":[67],"systems.":[68],"Effectiveness":[69],"evaluated":[71],"on":[72,97],"standard":[74],"benchmark":[75,201],"datasets,":[76,139],"provided":[77],"used":[79],"TREC\u2019s":[81],"Contextual":[82],"Suggestion":[83],"Tracks":[84],"2015":[86],"2016.":[88],"First,":[89],"we":[90,107,117],"enrich":[91],"these":[92],"datasets":[93,202],"with":[94],"more":[95],"information":[96],"venues,":[98],"collected":[99],"from":[100,132],"web":[101],"services":[102],"like":[103],"Foursquare":[104],"Yelp;":[106],"make":[108],"this":[109],"extra":[110],"data":[111,133],"available":[112],"future":[114],"experimentation.":[115],"Then,":[116],"find":[118],"that":[119,199],"the":[120,126,137,141,150,161,168,173,207],"provide":[123],"state-of-the-art":[124],"collaborative":[127],"filtering":[128,171],"variants":[129],"mostly":[130],"suffer":[131],"sparsity":[134],"problems":[135],"current":[138],"further":[144],"improve":[145],"mainly":[148],"promoting":[149],"first":[151],"relevant":[152],"suggestion.":[153],"Concerning":[154],"user":[159,193],"privacy,":[160],"Rocchio,":[166],"are":[167],"best.":[169],"has":[172],"worst":[174],"efficiency":[175],"leaks.":[178],"Our":[179],"findings":[180],"can":[181],"be":[182,204],"very":[183],"useful":[184],"developing":[186],"effective":[187],"efficient":[189],"operational":[190],"systems,":[191],"respecting":[192],"privacy.":[194],"Last,":[195],"our":[196],"experiments":[197],"indicate":[198],"better":[200],"would":[203],"welcome,":[205],"use":[208],"additional":[210],"evaluation":[211],"measures\u2014more":[212],"sensitive":[213],"recall\u2014is":[215],"recommended.":[216]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":8}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}