{"id":"https://openalex.org/W2770821147","doi":"https://doi.org/10.1145/3110025.3110149","title":"Dynamic Social Recommendation","display_name":"Dynamic Social Recommendation","publication_year":2017,"publication_date":"2017-07-31","ids":{"openalex":"https://openalex.org/W2770821147","doi":"https://doi.org/10.1145/3110025.3110149","mag":"2770821147"},"language":"en","primary_location":{"id":"doi:10.1145/3110025.3110149","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3110025.3110149","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2017","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/A5089623580","display_name":"Giuseppe Sansonetti","orcid":"https://orcid.org/0000-0003-4953-1390"},"institutions":[{"id":"https://openalex.org/I119003972","display_name":"Roma Tre University","ror":"https://ror.org/05vf0dg29","country_code":"IT","type":"education","lineage":["https://openalex.org/I119003972"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Giuseppe Sansonetti","raw_affiliation_strings":["Department of Engineering Artificial Intelligence Laboratory, Roma Tre University, Rome, Italy"],"affiliations":[{"raw_affiliation_string":"Department of Engineering Artificial Intelligence Laboratory, Roma Tre University, Rome, Italy","institution_ids":["https://openalex.org/I119003972"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077753918","display_name":"Davide Feltoni Gurini","orcid":"https://orcid.org/0000-0001-9702-3476"},"institutions":[{"id":"https://openalex.org/I119003972","display_name":"Roma Tre University","ror":"https://ror.org/05vf0dg29","country_code":"IT","type":"education","lineage":["https://openalex.org/I119003972"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Davide Feltoni Gurini","raw_affiliation_strings":["Department of Engineering Artificial Intelligence Laboratory, Roma Tre University, Rome, Italy"],"affiliations":[{"raw_affiliation_string":"Department of Engineering Artificial Intelligence Laboratory, Roma Tre University, Rome, Italy","institution_ids":["https://openalex.org/I119003972"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036332666","display_name":"Fabio Gasparetti","orcid":"https://orcid.org/0000-0003-0263-531X"},"institutions":[{"id":"https://openalex.org/I119003972","display_name":"Roma Tre University","ror":"https://ror.org/05vf0dg29","country_code":"IT","type":"education","lineage":["https://openalex.org/I119003972"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Fabio Gasparetti","raw_affiliation_strings":["Department of Engineering Artificial Intelligence Laboratory, Roma Tre University, Rome, Italy"],"affiliations":[{"raw_affiliation_string":"Department of Engineering Artificial Intelligence Laboratory, Roma Tre University, Rome, Italy","institution_ids":["https://openalex.org/I119003972"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5063633910","display_name":"Alessandro Micarelli","orcid":"https://orcid.org/0000-0002-0495-5272"},"institutions":[{"id":"https://openalex.org/I119003972","display_name":"Roma Tre University","ror":"https://ror.org/05vf0dg29","country_code":"IT","type":"education","lineage":["https://openalex.org/I119003972"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Alessandro Micarelli","raw_affiliation_strings":["Department of Engineering Artificial Intelligence Laboratory, Roma Tre University, Rome, Italy"],"affiliations":[{"raw_affiliation_string":"Department of Engineering Artificial Intelligence Laboratory, Roma Tre University, Rome, Italy","institution_ids":["https://openalex.org/I119003972"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5089623580"],"corresponding_institution_ids":["https://openalex.org/I119003972"],"apc_list":null,"apc_paid":null,"fwci":3.3854,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.93889437,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"943","last_page":"947"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9991999864578247,"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":0.9991999864578247,"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/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.986299991607666,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"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/T12761","display_name":"Data Stream Mining Techniques","score":0.9854999780654907,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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":0.6455239653587341}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6455239653587341}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3110025.3110149","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3110025.3110149","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2017","raw_type":"proceedings-article"},{"id":"pmh:oai:iris.uniroma3.it:11590/326028","is_oa":false,"landing_page_url":"http://hdl.handle.net/11590/326028","pdf_url":null,"source":{"id":"https://openalex.org/S4377196120","display_name":"Iris (Roma Tre University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I119003972","host_organization_name":"Roma Tre University","host_organization_lineage":["https://openalex.org/I119003972"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W63380324","https://openalex.org/W76978864","https://openalex.org/W1966496197","https://openalex.org/W1966626570","https://openalex.org/W1968762192","https://openalex.org/W2048190261","https://openalex.org/W2057991616","https://openalex.org/W2080320419","https://openalex.org/W2114510817","https://openalex.org/W2140535038","https://openalex.org/W2262817822","https://openalex.org/W2408532633","https://openalex.org/W2578518974","https://openalex.org/W2594230395","https://openalex.org/W2596121091","https://openalex.org/W2599156210","https://openalex.org/W2992252352","https://openalex.org/W4248672808","https://openalex.org/W4299286960","https://openalex.org/W6714127899","https://openalex.org/W6732418484"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W2382290278","https://openalex.org/W2478288626","https://openalex.org/W4391913857","https://openalex.org/W2350741829","https://openalex.org/W2530322880"],"abstract_inverted_index":{"This":[0],"paper":[1],"describes":[2],"a":[3,7,39,56,73,84],"preliminary":[4],"investigation":[5],"of":[6,52,87,110,121],"user":[8,124],"modeling":[9,125],"approach,":[10],"named":[11],"bag-of-signals,":[12],"able":[13],"to":[14,32,43,65,90],"take":[15],"into":[16],"account":[17],"how":[18],"user's":[19,36],"interests":[20],"evolve":[21],"over":[22],"time.":[23],"The":[24],"basic":[25],"idea":[26],"underlying":[27],"such":[28,47],"an":[29],"approach":[30,126],"is":[31],"model":[33,82],"each":[34],"potential":[35],"interest":[37],"as":[38,115],"signal.":[40],"In":[41],"order":[42],"represent":[44],"and":[45,78],"analyze":[46],"signals,":[48],"we":[49,76],"make":[50],"use":[51],"the":[53,80,119,122],"wavelet":[54],"transform,":[55],"signal":[57],"processing":[58],"technique":[59],"that":[60],"offers":[61],"higher":[62],"performance":[63],"compared":[64],"other":[66],"mathematical":[67],"tools":[68],"for":[69,127],"non-stationary":[70],"signals.":[71],"As":[72],"case":[74],"study,":[75],"employ":[77],"evaluate":[79],"proposed":[81,123],"in":[83,92],"recommender":[85],"system":[86],"new":[88],"users":[89],"follow":[91],"social":[93],"media,":[94],"focusing":[95],"on":[96,101],"Twitter.":[97],"A":[98],"comparative":[99],"analysis":[100],"real-user":[102],"data":[103],"with":[104],"some":[105,109],"state-of-the-art":[106],"techniques":[107],"-":[108,117],"which":[111],"considering":[112],"temporal":[113],"effects":[114],"well":[116],"reveals":[118],"benefits":[120],"personalized":[128],"recommendations.":[129]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
