{"id":"https://openalex.org/W2963743018","doi":"https://doi.org/10.24963/ijcai.2017/204","title":"SPMC: Socially-Aware Personalized Markov Chains for Sparse Sequential Recommendation","display_name":"SPMC: Socially-Aware Personalized Markov Chains for Sparse Sequential Recommendation","publication_year":2017,"publication_date":"2017-07-28","ids":{"openalex":"https://openalex.org/W2963743018","doi":"https://doi.org/10.24963/ijcai.2017/204","mag":"2963743018"},"language":"en","primary_location":{"id":"doi:10.24963/ijcai.2017/204","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2017/204","pdf_url":"https://www.ijcai.org/proceedings/2017/0204.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.ijcai.org/proceedings/2017/0204.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5017923913","display_name":"Chenwei Cai","orcid":null},"institutions":[{"id":"https://openalex.org/I36258959","display_name":"University of California, San Diego","ror":"https://ror.org/0168r3w48","country_code":"US","type":"education","lineage":["https://openalex.org/I36258959"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Chenwei Cai","raw_affiliation_strings":["University of California, San Diego"],"affiliations":[{"raw_affiliation_string":"University of California, San Diego","institution_ids":["https://openalex.org/I36258959"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109587088","display_name":"Ruining He","orcid":null},"institutions":[{"id":"https://openalex.org/I36258959","display_name":"University of California, San Diego","ror":"https://ror.org/0168r3w48","country_code":"US","type":"education","lineage":["https://openalex.org/I36258959"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ruining He","raw_affiliation_strings":["University of California, San Diego"],"affiliations":[{"raw_affiliation_string":"University of California, San Diego","institution_ids":["https://openalex.org/I36258959"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5021827617","display_name":"Julian McAuley","orcid":"https://orcid.org/0000-0003-0955-7588"},"institutions":[{"id":"https://openalex.org/I36258959","display_name":"University of California, San Diego","ror":"https://ror.org/0168r3w48","country_code":"US","type":"education","lineage":["https://openalex.org/I36258959"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Julian McAuley","raw_affiliation_strings":["University of California, San Diego"],"affiliations":[{"raw_affiliation_string":"University of California, San Diego","institution_ids":["https://openalex.org/I36258959"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5017923913"],"corresponding_institution_ids":["https://openalex.org/I36258959"],"apc_list":null,"apc_paid":null,"fwci":9.1889,"has_fulltext":false,"cited_by_count":46,"citation_normalized_percentile":{"value":0.97937239,"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":"1476","last_page":"1482"},"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/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.979200005531311,"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/T12101","display_name":"Advanced Bandit Algorithms Research","score":0.9739000201225281,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8306849598884583},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.7746261358261108},{"id":"https://openalex.org/keywords/matrix-decomposition","display_name":"Matrix decomposition","score":0.7102174758911133},{"id":"https://openalex.org/keywords/markov-chain","display_name":"Markov chain","score":0.611406683921814},{"id":"https://openalex.org/keywords/sparse-matrix","display_name":"Sparse matrix","score":0.48948872089385986},{"id":"https://openalex.org/keywords/cold-start","display_name":"Cold start (automotive)","score":0.4612426161766052},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.45513027906417847},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.44869473576545715},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.33592116832733154}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8306849598884583},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.7746261358261108},{"id":"https://openalex.org/C42355184","wikidata":"https://www.wikidata.org/wiki/Q1361088","display_name":"Matrix decomposition","level":3,"score":0.7102174758911133},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.611406683921814},{"id":"https://openalex.org/C56372850","wikidata":"https://www.wikidata.org/wiki/Q1050404","display_name":"Sparse matrix","level":3,"score":0.48948872089385986},{"id":"https://openalex.org/C2778956030","wikidata":"https://www.wikidata.org/wiki/Q5142477","display_name":"Cold start (automotive)","level":2,"score":0.4612426161766052},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.45513027906417847},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.44869473576545715},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.33592116832733154},{"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/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.24963/ijcai.2017/204","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2017/204","pdf_url":"https://www.ijcai.org/proceedings/2017/0204.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.24963/ijcai.2017/204","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2017/204","pdf_url":"https://www.ijcai.org/proceedings/2017/0204.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2963743018.pdf","grobid_xml":"https://content.openalex.org/works/W2963743018.grobid-xml"},"referenced_works_count":19,"referenced_works":["https://openalex.org/W54392637","https://openalex.org/W153313452","https://openalex.org/W1690919088","https://openalex.org/W1853953842","https://openalex.org/W1984127251","https://openalex.org/W1991055526","https://openalex.org/W2019512103","https://openalex.org/W2093219534","https://openalex.org/W2099866409","https://openalex.org/W2117111450","https://openalex.org/W2135598826","https://openalex.org/W2140310134","https://openalex.org/W2144487656","https://openalex.org/W2157973827","https://openalex.org/W2171279286","https://openalex.org/W2244405900","https://openalex.org/W2510184840","https://openalex.org/W2950332743","https://openalex.org/W2953132212"],"related_works":["https://openalex.org/W2497939785","https://openalex.org/W2219931199","https://openalex.org/W2735929803","https://openalex.org/W4241927574","https://openalex.org/W2971083348","https://openalex.org/W3214288750","https://openalex.org/W584290403","https://openalex.org/W2786642545","https://openalex.org/W2084560547","https://openalex.org/W2963185427"],"abstract_inverted_index":{"Dealing":[0],"with":[1,21,99],"sparse,":[2],"long-tailed":[3],"datasets,":[4],"and":[5,78,101],"cold-start":[6,102],"problems":[7],"is":[8],"always":[9],"a":[10],"challenge":[11],"for":[12],"recommender":[13],"systems.":[14],"These":[15],"issues":[16,103],"can":[17,55],"partly":[18],"be":[19,56,94],"dealt":[20],"by":[22,29],"making":[23],"predictions":[24],"not":[25],"in":[26,82,104],"isolation,":[27],"but":[28],"leveraging":[30],"information":[31,36,54,80],"from":[32,40,44],"related":[33],"events;":[34],"such":[35],"could":[37],"include":[38],"signals":[39],"social":[41,77],"relationships":[42],"or":[43],"the":[45,60],"sequence":[46],"of":[47,52,62],"recent":[48],"activities.":[49],"Both":[50],"types":[51],"additional":[53],"used":[57],"to":[58,74,84,93],"improve":[59,86],"performance":[61],"state-of-the-art":[63],"matrix":[64],"factorization-based":[65],"techniques.":[66],"In":[67],"this":[68],"paper,":[69],"we":[70],"propose":[71],"new":[72],"methods":[73],"combine":[75],"both":[76],"sequential":[79],"simultaneously,":[81],"order":[83],"further":[85],"recommendation":[87],"performance.":[88],"We":[89],"show":[90],"these":[91],"techniques":[92],"particularly":[95],"effective":[96],"when":[97],"dealing":[98],"sparsity":[100],"several":[105],"large,":[106],"real-world":[107],"datasets.":[108]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":9},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":9},{"year":2019,"cited_by_count":7},{"year":2018,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
