{"id":"https://openalex.org/W2734815192","doi":"https://doi.org/10.1145/3099023.3099104","title":"Social Recommendation with Time and Sentiment Analysis","display_name":"Social Recommendation with Time and Sentiment Analysis","publication_year":2017,"publication_date":"2017-07-09","ids":{"openalex":"https://openalex.org/W2734815192","doi":"https://doi.org/10.1145/3099023.3099104","mag":"2734815192"},"language":"en","primary_location":{"id":"doi:10.1145/3099023.3099104","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3099023.3099104","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Adjunct Publication of the 25th Conference on User Modeling, Adaptation and Personalization","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/A5078282602","display_name":"Domenico Giammarino","orcid":null},"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":"Domenico Giammarino","raw_affiliation_strings":["Roma Tre University, Rome, Italy"],"affiliations":[{"raw_affiliation_string":"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":["Roma Tre University, Rome, Italy"],"affiliations":[{"raw_affiliation_string":"Roma Tre University, Rome, Italy","institution_ids":["https://openalex.org/I119003972"]}]},{"author_position":"middle","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":["Roma Tre University, Rome, Italy"],"affiliations":[{"raw_affiliation_string":"Roma Tre University, Rome, Italy","institution_ids":["https://openalex.org/I119003972"]}]},{"author_position":"last","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":false,"raw_author_name":"Giuseppe Sansonetti","raw_affiliation_strings":["Roma Tre University, Rome, Italy"],"affiliations":[{"raw_affiliation_string":"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/A5078282602"],"corresponding_institution_ids":["https://openalex.org/I119003972"],"apc_list":null,"apc_paid":null,"fwci":0.4836,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.72973813,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"376","last_page":"380"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9998000264167786,"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":0.9998000264167786,"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/T10064","display_name":"Complex Network Analysis Techniques","score":0.9986000061035156,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11478","display_name":"Caching and Content Delivery","score":0.9860000014305115,"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/recommender-system","display_name":"Recommender system","score":0.8537880182266235},{"id":"https://openalex.org/keywords/information-overload","display_name":"Information overload","score":0.8470567464828491},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8323770761489868},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.6394645571708679},{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.5479257106781006},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.4729670584201813},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.4598466157913208},{"id":"https://openalex.org/keywords/state","display_name":"State (computer science)","score":0.42941418290138245},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3752540647983551},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.3661485016345978},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2628178298473358}],"concepts":[{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.8537880182266235},{"id":"https://openalex.org/C186625053","wikidata":"https://www.wikidata.org/wiki/Q1130191","display_name":"Information overload","level":2,"score":0.8470567464828491},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8323770761489868},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.6394645571708679},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.5479257106781006},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.4729670584201813},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.4598466157913208},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.42941418290138245},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3752540647983551},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.3661485016345978},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2628178298473358},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","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/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3099023.3099104","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3099023.3099104","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Adjunct Publication of the 25th Conference on User Modeling, Adaptation and Personalization","raw_type":"proceedings-article"},{"id":"pmh:oai:iris.uniroma3.it:11590/373584","is_oa":false,"landing_page_url":"http://hdl.handle.net/11590/373584","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":"","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.5299999713897705,"id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W18046889","https://openalex.org/W63380324","https://openalex.org/W76978864","https://openalex.org/W1486317198","https://openalex.org/W1489213177","https://openalex.org/W1966496197","https://openalex.org/W1980672078","https://openalex.org/W2019177758","https://openalex.org/W2057991616","https://openalex.org/W2130354913","https://openalex.org/W2156716308","https://openalex.org/W2200988052","https://openalex.org/W2295889306","https://openalex.org/W2394974728","https://openalex.org/W2404417588","https://openalex.org/W2408532633","https://openalex.org/W2574138591","https://openalex.org/W2578518974","https://openalex.org/W2596121091","https://openalex.org/W3098684887","https://openalex.org/W3152157423"],"related_works":["https://openalex.org/W4251329182","https://openalex.org/W1599110641","https://openalex.org/W1549403601","https://openalex.org/W2497510784","https://openalex.org/W4252183363","https://openalex.org/W2787177576","https://openalex.org/W2078352417","https://openalex.org/W2418053903","https://openalex.org/W2098758514","https://openalex.org/W1575740715"],"abstract_inverted_index":{"With":[0],"the":[1,5,13,56,59,85],"increasing":[2],"information":[3],"overload,":[4],"identification":[6],"of":[7,58],"new":[8],"users":[9,64],"really":[10],"relevant":[11],"to":[12,82],"target":[14],"user":[15,32],"becomes":[16],"more":[17,19],"and":[18,42,50],"complicated.":[20],"In":[21,76],"this":[22,77],"paper,":[23],"we":[24],"propose":[25],"a":[26,31,68,90],"social":[27,96],"recommender":[28,97],"based":[29],"on":[30],"model":[33],"that":[34],"takes":[35],"into":[36],"account":[37],"not":[38],"only":[39],"her":[40],"interests":[41],"preferences,":[43],"but":[44],"also":[45,88],"their":[46],"evolution":[47],"over":[48,62,73],"time":[49],"actual":[51],"nature.":[52],"To":[53],"accurately":[54],"assess":[55],"effectiveness":[57],"proposed":[60,86],"approach,":[61],"1,600":[63],"were":[65],"monitored":[66],"for":[67],"full":[69],"year,":[70],"thus":[71],"collecting":[72],"2,700,000":[74],"tweets.":[75],"way,":[78],"it":[79],"was":[80],"possible":[81],"deeply":[83],"evaluate":[84],"model,":[87],"through":[89],"comparative":[91],"analysis":[92],"with":[93],"other":[94],"state-of-the-art":[95],"systems.":[98]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2017-07-21T00:00:00"}