{"id":"https://openalex.org/W3148445131","doi":"https://doi.org/10.1109/asonam49781.2020.9381303","title":"Co-refining User and Item Representations with Feature-level Self-attention for Enhanced Recommendation","display_name":"Co-refining User and Item Representations with Feature-level Self-attention for Enhanced Recommendation","publication_year":2020,"publication_date":"2020-12-07","ids":{"openalex":"https://openalex.org/W3148445131","doi":"https://doi.org/10.1109/asonam49781.2020.9381303","mag":"3148445131"},"language":"en","primary_location":{"id":"doi:10.1109/asonam49781.2020.9381303","is_oa":false,"landing_page_url":"https://doi.org/10.1109/asonam49781.2020.9381303","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM)","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/A5053846529","display_name":"Zikai Guo","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Zikai Guo","raw_affiliation_strings":["School of Data Science"],"affiliations":[{"raw_affiliation_string":"School of Data Science","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072181882","display_name":"Deqing Yang","orcid":"https://orcid.org/0000-0002-1390-3861"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Deqing Yang","raw_affiliation_strings":["School of Data Science"],"affiliations":[{"raw_affiliation_string":"School of Data Science","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102974205","display_name":"Baichuan Liu","orcid":"https://orcid.org/0000-0003-0308-9007"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Baichuan Liu","raw_affiliation_strings":["School of Data Science"],"affiliations":[{"raw_affiliation_string":"School of Data Science","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077953276","display_name":"Lyuxin Xue","orcid":"https://orcid.org/0000-0001-9433-9176"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lyuxin Xue","raw_affiliation_strings":["School of Data Science"],"affiliations":[{"raw_affiliation_string":"School of Data Science","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5090455375","display_name":"Yanghua Xiao","orcid":"https://orcid.org/0000-0001-8403-9591"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanghua Xiao","raw_affiliation_strings":["School of Computer Science, Fudan University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5053846529"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2669,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.69981443,"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":"494","last_page":"501"},"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/T10028","display_name":"Topic Modeling","score":0.9993000030517578,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.9990000128746033,"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":0.804354727268219},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6906695365905762},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.6033273935317993},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.46368756890296936},{"id":"https://openalex.org/keywords/mechanism","display_name":"Mechanism (biology)","score":0.4443502426147461},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.39956292510032654},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.37983521819114685},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.32858985662460327}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.804354727268219},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6906695365905762},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.6033273935317993},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46368756890296936},{"id":"https://openalex.org/C89611455","wikidata":"https://www.wikidata.org/wiki/Q6804646","display_name":"Mechanism (biology)","level":2,"score":0.4443502426147461},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.39956292510032654},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.37983521819114685},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.32858985662460327},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/asonam49781.2020.9381303","is_oa":false,"landing_page_url":"https://doi.org/10.1109/asonam49781.2020.9381303","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5099999904632568,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[{"id":"https://openalex.org/G645345321","display_name":null,"funder_award_id":"U1636207","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":51,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1720514416","https://openalex.org/W1895577753","https://openalex.org/W2010187764","https://openalex.org/W2069870183","https://openalex.org/W2133564696","https://openalex.org/W2137028279","https://openalex.org/W2145094598","https://openalex.org/W2172140247","https://openalex.org/W2295739661","https://openalex.org/W2474909202","https://openalex.org/W2509893387","https://openalex.org/W2605246672","https://openalex.org/W2605350416","https://openalex.org/W2723293840","https://openalex.org/W2740920897","https://openalex.org/W2741249238","https://openalex.org/W2743159750","https://openalex.org/W2770600170","https://openalex.org/W2798385737","https://openalex.org/W2802187397","https://openalex.org/W2884134047","https://openalex.org/W2886661492","https://openalex.org/W2888983470","https://openalex.org/W2896742319","https://openalex.org/W2907349915","https://openalex.org/W2941297115","https://openalex.org/W2945623882","https://openalex.org/W2963323306","https://openalex.org/W2963367478","https://openalex.org/W2963403868","https://openalex.org/W2963869731","https://openalex.org/W2963981376","https://openalex.org/W2964052347","https://openalex.org/W2964121744","https://openalex.org/W2964199361","https://openalex.org/W2964308564","https://openalex.org/W2964316331","https://openalex.org/W2966483207","https://openalex.org/W2997574889","https://openalex.org/W3000550630","https://openalex.org/W3091993229","https://openalex.org/W3098087397","https://openalex.org/W4289676341","https://openalex.org/W4299286960","https://openalex.org/W4385245566","https://openalex.org/W6631190155","https://openalex.org/W6681096077","https://openalex.org/W6692935382","https://openalex.org/W6736107892","https://openalex.org/W6739901393"],"related_works":["https://openalex.org/W4390273403","https://openalex.org/W4386781444","https://openalex.org/W2150182025","https://openalex.org/W3092950680","https://openalex.org/W3197542405","https://openalex.org/W2056712470","https://openalex.org/W3125580266","https://openalex.org/W4317039510","https://openalex.org/W4238861846","https://openalex.org/W790944756"],"abstract_inverted_index":{"Self-attention":[0],"mechanism":[1,107,191],"is":[2,65,102,125],"primarily":[3],"designed":[4],"to":[5,33,95,115,138],"capture":[6],"the":[7,39,42,50,63,148,178,186],"correlation":[8],"(interaction)":[9],"between":[10,41,150],"any":[11],"two":[12,97,162],"objects":[13],"in":[14,21,30,53],"a":[15,47,79],"sequence.":[16],"Inspired":[17],"by":[18,37],"self-attention's":[19],"success":[20],"many":[22],"NLP":[23],"tasks,":[24],"some":[25],"researchers":[26],"have":[27],"employed":[28],"self-attention":[29,55,64,106,190],"sequential":[31],"recommendation":[32,81,91,176,181],"refine":[34],"user":[35,51,69,109,117],"representations":[36,52,118],"capturing":[38],"correlations":[40,149],"historical":[43],"interacted":[44],"items":[45,142,153],"of":[46,188],"user.":[48],"However,":[49],"previous":[54],"based":[56],"models":[57],"are":[58,154],"not":[59,169],"flexible":[60],"enough":[61],"since":[62],"only":[66,170],"applied":[67],"on":[68,108,143,174],"side,":[70],"restricting":[71],"performance":[72,92],"improvement.":[73],"In":[74],"this":[75],"paper,":[76],"we":[77],"propose":[78],"deep":[80,180],"model":[82],"with":[83],"feature-level":[84,193],"self-attention,":[85],"namely":[86],"SAFrec,":[87],"which":[88],"exhibits":[89],"enhanced":[90],"mainly":[93],"due":[94],"its":[96],"advantages.":[98],"The":[99,122,157],"first":[100],"one":[101,124],"that":[103],"SAFrec":[104,127],"employs":[105],"side":[110,113],"and":[111,119,141,152,167,192],"item":[112,120,129],"simultaneously,":[114],"co-refine":[116],"representations.":[121,194],"second":[123],"that,":[126],"leverages":[128],"features":[130],"distilled":[131],"from":[132],"open":[133],"knowledge":[134],"graphs":[135],"or":[136],"websites,":[137],"represent":[139],"users":[140,151],"fine-grained":[144],"level":[145],"(feature-level).":[146],"Thus":[147],"discovered":[155],"sufficiently.":[156],"extensive":[158],"experiments":[159],"conducted":[160],"over":[161,177],"real":[163],"datasets":[164],"(NetEase":[165],"music":[166],"Book-Crossing)":[168],"demonstrate":[171],"SAFrec's":[172],"superiority":[173],"top-n":[175],"state-of-the-art":[179],"models,":[182],"but":[183],"also":[184],"validate":[185],"significance":[187],"incorporating":[189]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}