{"id":"https://openalex.org/W2947766753","doi":"https://doi.org/10.1145/3331184.3331342","title":"SAIN","display_name":"SAIN","publication_year":2019,"publication_date":"2019-07-18","ids":{"openalex":"https://openalex.org/W2947766753","doi":"https://doi.org/10.1145/3331184.3331342","mag":"2947766753"},"language":"en","primary_location":{"id":"doi:10.1145/3331184.3331342","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3331184.3331342","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1905.13130","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5023953325","display_name":"Seongjun Yun","orcid":null},"institutions":[{"id":"https://openalex.org/I197347611","display_name":"Korea University","ror":"https://ror.org/047dqcg40","country_code":"KR","type":"education","lineage":["https://openalex.org/I197347611"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Seongjun Yun","raw_affiliation_strings":["Korea University, Seoul, South Korea"],"affiliations":[{"raw_affiliation_string":"Korea University, Seoul, South Korea","institution_ids":["https://openalex.org/I197347611"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068040037","display_name":"Raehyun Kim","orcid":"https://orcid.org/0000-0001-7269-7378"},"institutions":[{"id":"https://openalex.org/I197347611","display_name":"Korea University","ror":"https://ror.org/047dqcg40","country_code":"KR","type":"education","lineage":["https://openalex.org/I197347611"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Raehyun Kim","raw_affiliation_strings":["Korea University, Seoul, South Korea"],"affiliations":[{"raw_affiliation_string":"Korea University, Seoul, South Korea","institution_ids":["https://openalex.org/I197347611"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114099779","display_name":"Miyoung Ko","orcid":null},"institutions":[{"id":"https://openalex.org/I197347611","display_name":"Korea University","ror":"https://ror.org/047dqcg40","country_code":"KR","type":"education","lineage":["https://openalex.org/I197347611"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Miyoung Ko","raw_affiliation_strings":["Korea University, Seoul, South Korea"],"affiliations":[{"raw_affiliation_string":"Korea University, Seoul, South Korea","institution_ids":["https://openalex.org/I197347611"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5076917278","display_name":"Jaewoo Kang","orcid":"https://orcid.org/0000-0001-6798-9106"},"institutions":[{"id":"https://openalex.org/I197347611","display_name":"Korea University","ror":"https://ror.org/047dqcg40","country_code":"KR","type":"education","lineage":["https://openalex.org/I197347611"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jaewoo Kang","raw_affiliation_strings":["Korea University, Seoul, South Korea"],"affiliations":[{"raw_affiliation_string":"Korea University, Seoul, South Korea","institution_ids":["https://openalex.org/I197347611"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5023953325"],"corresponding_institution_ids":["https://openalex.org/I197347611"],"apc_list":null,"apc_paid":null,"fwci":2.812,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.92200994,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1205","last_page":"1208"},"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.98089998960495,"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"}},{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9544000029563904,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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":0.8447794914245605},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.6016436219215393},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.5963927507400513},{"id":"https://openalex.org/keywords/matrix-decomposition","display_name":"Matrix decomposition","score":0.5438604354858398},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5433654189109802},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5136120319366455},{"id":"https://openalex.org/keywords/layer","display_name":"Layer (electronics)","score":0.4353008270263672},{"id":"https://openalex.org/keywords/cold-start","display_name":"Cold start (automotive)","score":0.42481833696365356},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.39800718426704407},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.39651036262512207},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3877480626106262}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8447794914245605},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.6016436219215393},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.5963927507400513},{"id":"https://openalex.org/C42355184","wikidata":"https://www.wikidata.org/wiki/Q1361088","display_name":"Matrix decomposition","level":3,"score":0.5438604354858398},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5433654189109802},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5136120319366455},{"id":"https://openalex.org/C2779227376","wikidata":"https://www.wikidata.org/wiki/Q6505497","display_name":"Layer (electronics)","level":2,"score":0.4353008270263672},{"id":"https://openalex.org/C2778956030","wikidata":"https://www.wikidata.org/wiki/Q5142477","display_name":"Cold start (automotive)","level":2,"score":0.42481833696365356},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.39800718426704407},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.39651036262512207},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3877480626106262},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3331184.3331342","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3331184.3331342","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1905.13130","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1905.13130","pdf_url":"https://arxiv.org/pdf/1905.13130","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"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":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1905.13130","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1905.13130","pdf_url":"https://arxiv.org/pdf/1905.13130","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"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":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W2054141820","https://openalex.org/W2079514711","https://openalex.org/W2295739661","https://openalex.org/W2605350416","https://openalex.org/W2740098507","https://openalex.org/W2741249238","https://openalex.org/W2793768763","https://openalex.org/W2798713837","https://openalex.org/W2897212375","https://openalex.org/W2897346171","https://openalex.org/W2898342253","https://openalex.org/W2963323306","https://openalex.org/W2963403868","https://openalex.org/W3104030692","https://openalex.org/W3170187879","https://openalex.org/W4232449914","https://openalex.org/W4385245566"],"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":{"With":[0],"the":[1,22,27,60,86,142,154,176],"growing":[2],"importance":[3],"of":[4,63,85],"personalized":[5],"recommendation,":[6],"numerous":[7],"recommendation":[8,28,56,132],"models":[9,20,38,57,72,88,178],"have":[10,67],"been":[11,68],"proposed":[12,87],"recently.":[13],"Among":[14],"them,":[15],"Matrix":[16],"Factorization":[17],"(MF)":[18],"based":[19,37,55],"are":[21,47,77,89],"most":[23,84],"widely":[24],"used":[25,140],"in":[26,79,141],"field":[29],"due":[30],"to":[31,92,101,146],"their":[32],"high":[33],"performance.":[34],"However,":[35,83],"MF":[36],"suffer":[39],"from":[40],"cold":[41,80],"start":[42,81],"problems":[43],"where":[44],"user-item":[45,103,125],"interactions":[46,96,149],"sparse.":[48],"To":[49],"deal":[50],"with":[51,106],"this":[52,110],"problem,":[53],"content":[54,107,160],"which":[58,118],"use":[59,73],"auxiliary":[61,74,129],"attributes":[62],"users":[64],"and":[65,128,161],"items":[66],"proposed.":[69],"Since":[70],"these":[71],"attributes,":[75],"they":[76],"effective":[78],"settings.":[82],"either":[90],"unable":[91],"capture":[93],"complex":[94],"feature":[95],"or":[97],"not":[98],"properly":[99],"designed":[100],"combine":[102],"feedback":[104,126,162],"information":[105,127,130,155],"information.":[108,163],"In":[109,134],"paper,":[111],"we":[112],"propose":[113],"Self-Attentive":[114],"Integration":[115],"Network":[116],"(SAIN)":[117],"is":[119,139],"a":[120,136],"model":[121,174],"that":[122,172],"effectively":[123,147],"combines":[124,159],"for":[131],"task.":[133],"SAIN,":[135],"self-attention":[137],"mechanism":[138],"feature-level":[143],"interaction":[144],"layer":[145,157],"consider":[148],"between":[150],"multiple":[151],"features,":[152],"while":[153],"integration":[156],"adaptively":[158],"The":[164],"experimental":[165],"results":[166],"on":[167],"two":[168],"public":[169],"datasets":[170],"show":[171],"our":[173],"outperforms":[175],"state-of-the-art":[177],"by":[179],"2.13%":[180]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":2}],"updated_date":"2026-03-10T16:38:18.471706","created_date":"2019-06-07T00:00:00"}