{"id":"https://openalex.org/W2553600166","doi":"https://doi.org/10.1145/3097983.3098076","title":"PNP","display_name":"PNP","publication_year":2017,"publication_date":"2017-08-04","ids":{"openalex":"https://openalex.org/W2553600166","doi":"https://doi.org/10.1145/3097983.3098076","mag":"2553600166"},"language":"en","primary_location":{"id":"doi:10.1145/3097983.3098076","doi":"https://doi.org/10.1145/3097983.3098076","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3097983.3098076","pdf_url":null,"source":{"id":"https://openalex.org/S4363608767","display_name":"ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"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/A5015996266","display_name":"Danai Koutra","orcid":"https://orcid.org/0000-0002-3206-8179","observed_orcids":["https://orcid.org/0000-0002-3206-8179"]},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Danai Koutra","raw_affiliation_strings":["University of Michigan, Ann Arbor, MI, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Michigan, Ann Arbor, MI, USA","institution_ids":["https://openalex.org/I27837315"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028636328","display_name":"Abhilash Dighe","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Abhilash Dighe","raw_affiliation_strings":["University of Michigan, Ann Arbor, MI, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Michigan, Ann Arbor, MI, USA","institution_ids":["https://openalex.org/I27837315"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025117535","display_name":"Smriti Bhagat","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4210114444","display_name":"Meta (United States)","ror":"https://ror.org/01zbnvs85","country_code":"US","type":"company","lineage":["https://openalex.org/I4210114444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Smriti Bhagat","raw_affiliation_strings":["Facebook &amp; Technicolor, Menlo Park, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Facebook &amp; Technicolor, Menlo Park, CA, USA","institution_ids":["https://openalex.org/I4210114444"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000980244","display_name":"Udi Weinsberg","orcid":"https://orcid.org/0000-0002-6966-1945","observed_orcids":["https://orcid.org/0000-0002-6966-1945"]},"institutions":[{"id":"https://openalex.org/I4210114444","display_name":"Meta (United States)","ror":"https://ror.org/01zbnvs85","country_code":"US","type":"company","lineage":["https://openalex.org/I4210114444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Udi Weinsberg","raw_affiliation_strings":["Facebook &amp; Technicolor, Menlo Park, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Facebook &amp; Technicolor, Menlo Park, CA, USA","institution_ids":["https://openalex.org/I4210114444"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049931304","display_name":"Stratis Ioannidis","orcid":"https://orcid.org/0000-0001-8355-4751","observed_orcids":["https://orcid.org/0000-0001-8355-4751"]},"institutions":[{"id":"https://openalex.org/I12912129","display_name":"Northeastern University","ror":"https://ror.org/04t5xt781","country_code":"US","type":"education","lineage":["https://openalex.org/I12912129"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Stratis Ioannidis","raw_affiliation_strings":["Northeastern University, Boston, MA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Northeastern University, Boston, MA, USA","institution_ids":["https://openalex.org/I12912129"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035605036","display_name":"Christos Faloutsos","orcid":"https://orcid.org/0000-0003-2996-9790","observed_orcids":["https://orcid.org/0000-0003-2996-9790"]},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Christos Faloutsos","raw_affiliation_strings":["Carnegie Mellon University, Pittsburgh, PA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University, Pittsburgh, PA, USA","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5023136655","display_name":"Jean C. Bolot","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4210158888","display_name":"Technicolor (United States)","ror":"https://ror.org/05ha8e826","country_code":"US","type":"company","lineage":["https://openalex.org/I4210121266","https://openalex.org/I4210158888"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jean Bolot","raw_affiliation_strings":["Technicolor, Los Altos, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Technicolor, Los Altos, CA, USA","institution_ids":["https://openalex.org/I4210158888"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.538,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.6025544,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":92,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1527","last_page":"1536"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9984999895095825,"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":0.9984999895095825,"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/T10758","display_name":"Cinema and Media Studies","score":9.999999747378752e-05,"subfield":{"id":"https://openalex.org/subfields/1213","display_name":"Visual Arts and Performing Arts"},"field":{"id":"https://openalex.org/fields/12","display_name":"Arts and Humanities"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":9.999999747378752e-05,"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/movie-recommendation","display_name":"movie recommendation","score":0.6499999761581421},{"id":"https://openalex.org/keywords/product-design","display_name":"product design","score":0.492000013589859},{"id":"https://openalex.org/keywords/feature-selection","display_name":"feature selection","score":0.7049999833106995},{"id":"https://openalex.org/keywords/user-similarity","display_name":"user similarity","score":0.7879999876022339},{"id":"https://openalex.org/keywords/user-demographics","display_name":"user demographics","score":0.37299999594688416},{"id":"https://openalex.org/keywords/adolescents","display_name":"adolescents","score":0.6449999809265137},{"id":"https://openalex.org/keywords/film-genre","display_name":"film genre","score":0.414000004529953},{"id":"https://openalex.org/keywords/pnp","display_name":"PNP","score":0.3700000047683716}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7863271832466125},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.6092483401298523},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.5697988867759705},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5349428057670593},{"id":"https://openalex.org/C163999200","wikidata":"https://www.wikidata.org/wiki/Q201658","display_name":"Film genre","level":3,"score":0.5332602858543396},{"id":"https://openalex.org/C201280247","wikidata":"https://www.wikidata.org/wiki/Q11032","display_name":"Newspaper","level":2,"score":0.5095189213752747},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.43574559688568115},{"id":"https://openalex.org/C42355184","wikidata":"https://www.wikidata.org/wiki/Q1361088","display_name":"Matrix decomposition","level":3,"score":0.43335235118865967},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.4320533275604248},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38583287596702576},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3422580361366272},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.2765190005302429},{"id":"https://openalex.org/C112698675","wikidata":"https://www.wikidata.org/wiki/Q37038","display_name":"Advertising","level":1,"score":0.12754130363464355},{"id":"https://openalex.org/C519580073","wikidata":"https://www.wikidata.org/wiki/Q41253","display_name":"Movie theater","level":2,"score":0.10383260250091553},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C52119013","wikidata":"https://www.wikidata.org/wiki/Q50637","display_name":"Art history","level":1,"score":0.0},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.0},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"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/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3097983.3098076","doi":"https://doi.org/10.1145/3097983.3098076","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3097983.3098076","pdf_url":null,"source":{"id":"https://openalex.org/S4363608767","display_name":"ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":39,"referenced_works":["https://openalex.org/W103340358","https://openalex.org/W331119053","https://openalex.org/W1527499847","https://openalex.org/W1539585011","https://openalex.org/W1760548574","https://openalex.org/W1906783320","https://openalex.org/W1978049851","https://openalex.org/W1984069252","https://openalex.org/W1984757319","https://openalex.org/W2010187764","https://openalex.org/W2022097286","https://openalex.org/W2042281163","https://openalex.org/W2054141820","https://openalex.org/W2061820396","https://openalex.org/W2072291569","https://openalex.org/W2101409192","https://openalex.org/W2108858998","https://openalex.org/W2110325612","https://openalex.org/W2110896767","https://openalex.org/W2113858518","https://openalex.org/W2118675731","https://openalex.org/W2119825970","https://openalex.org/W2124495563","https://openalex.org/W2129376520","https://openalex.org/W2139257893","https://openalex.org/W2141673451","https://openalex.org/W2145604831","https://openalex.org/W2156305079","https://openalex.org/W2159094788","https://openalex.org/W2162147932","https://openalex.org/W2167094273","https://openalex.org/W2338447355","https://openalex.org/W2339085491","https://openalex.org/W2341535507","https://openalex.org/W2471874849","https://openalex.org/W2503925273","https://openalex.org/W2611804663","https://openalex.org/W4237588582","https://openalex.org/W6703949738"],"related_works":["https://openalex.org/W2949570650","https://openalex.org/W7042367604","https://openalex.org/W2400110499","https://openalex.org/W1992392040","https://openalex.org/W4287958813","https://openalex.org/W2980703420","https://openalex.org/W1981166623","https://openalex.org/W2407310997","https://openalex.org/W4400491959","https://openalex.org/W1988139567"],"abstract_inverted_index":{"How":[0],"can":[1,46],"we":[2,40,45],"design":[3,47,62],"a":[4,54,91],"product":[5],"or":[6,18],"movie":[7,29,61,161],"that":[8,28,78,129,153],"will":[9],"attract,":[10],"for":[11],"example,":[12],"the":[13,25,35,60,68,76,80,115],"interest":[14],"of":[15,27,70,75,82,95,125,167],"Pennsylvania":[16],"adolescents":[17],"liberal":[19],"newspaper":[20],"critics?":[21],"What":[22],"should":[23,32],"be":[24,33],"genre":[26],"and":[30,73,98,108,127,138,151,158,172],"who":[31],"in":[34],"cast?":[36],"In":[37],"this":[38],"work,":[39],"seek":[41],"to":[42,53,111],"identify":[43],"how":[44],"new":[48],"movies":[49,107],"with":[50],"features":[51,77,99,109],"tailored":[52],"specific":[55],"user":[56,119],"population.":[57],"We":[58,113,143],"formulate":[59],"as":[63],"an":[64],"optimization":[65],"problem":[66],"over":[67],"inference":[69],"user-feature":[71],"scores":[72],"selection":[74],"maximize":[79],"number":[81],"attracted":[83],"users.":[84],"Our":[85],"approach,":[86],"PNP,":[87],"is":[88,155],"based":[89],"on":[90,146],"heterogeneous,":[92],"tripartite":[93],"graph":[94],"users,":[96,168],"movies,":[97],"(e.g.":[100],"actors,":[101],"directors,":[102],"genres),":[103],"where":[104],"users":[105],"rate":[106],"contribute":[110],"movies.":[112],"learn":[114],"preferences":[116],"by":[117],"leveraging":[118],"similarities":[120],"defined":[121],"through":[122],"different":[123,165],"types":[124],"relations,":[126],"show":[128,152],"our":[130],"method":[131],"outperforms":[132],"state-of-the-art":[133],"approaches,":[134],"including":[135,169],"matrix":[136],"factorization":[137],"other":[139],"heterogeneous":[140],"graph-based":[141],"analysis.":[142],"evaluate":[144],"PNP":[145],"publicly":[147],"available":[148],"real-world":[149],"data":[150],"it":[154],"highly":[156],"scalable":[157],"effectively":[159],"provides":[160],"designs":[162],"oriented":[163],"towards":[164],"groups":[166],"men,":[170],"women,":[171],"adolescents.":[173]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2018,"cited_by_count":3}],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2016-11-30T00:00:00"}
