{"id":"https://openalex.org/W3152542051","doi":"https://doi.org/10.1145/3404835.3463087","title":"LSTPR: Graph-based Matrix Factorization with Long Short-term Preference Ranking","display_name":"LSTPR: Graph-based Matrix Factorization with Long Short-term Preference Ranking","publication_year":2021,"publication_date":"2021-07-11","ids":{"openalex":"https://openalex.org/W3152542051","doi":"https://doi.org/10.1145/3404835.3463087","mag":"3152542051"},"language":"en","primary_location":{"id":"doi:10.1145/3404835.3463087","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3404835.3463087","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval","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/A5032873413","display_name":"Chih-Hen Lee","orcid":null},"institutions":[{"id":"https://openalex.org/I84653119","display_name":"Academia Sinica","ror":"https://ror.org/05bxb3784","country_code":"TW","type":"facility","lineage":["https://openalex.org/I84653119"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Chih-Hen Lee","raw_affiliation_strings":["Academia Sinica, Taipei, Taiwan Roc"],"affiliations":[{"raw_affiliation_string":"Academia Sinica, Taipei, Taiwan Roc","institution_ids":["https://openalex.org/I84653119"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068409543","display_name":"Jun-En Ding","orcid":"https://orcid.org/0000-0002-1233-138X"},"institutions":[{"id":"https://openalex.org/I84653119","display_name":"Academia Sinica","ror":"https://ror.org/05bxb3784","country_code":"TW","type":"facility","lineage":["https://openalex.org/I84653119"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Jun-En Ding","raw_affiliation_strings":["Academia Sinica, Taipei, Taiwan Roc"],"affiliations":[{"raw_affiliation_string":"Academia Sinica, Taipei, Taiwan Roc","institution_ids":["https://openalex.org/I84653119"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102019603","display_name":"Chih-Ming Chen","orcid":"https://orcid.org/0000-0002-0290-4279"},"institutions":[{"id":"https://openalex.org/I87354575","display_name":"National Chengchi University","ror":"https://ror.org/03rqk8h36","country_code":"TW","type":"education","lineage":["https://openalex.org/I87354575"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Chih-Ming Chen","raw_affiliation_strings":["National Chengchi University, Taipei, Taiwan Roc"],"affiliations":[{"raw_affiliation_string":"National Chengchi University, Taipei, Taiwan Roc","institution_ids":["https://openalex.org/I87354575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031527157","display_name":"Jing-Kai Lou","orcid":"https://orcid.org/0000-0002-0004-739X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jing-Kai Lou","raw_affiliation_strings":["KKStream Limited, Taipei, Taiwan Roc"],"affiliations":[{"raw_affiliation_string":"KKStream Limited, Taipei, Taiwan Roc","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076203419","display_name":"Ming-Feng Tsai","orcid":"https://orcid.org/0000-0002-3358-8176"},"institutions":[{"id":"https://openalex.org/I87354575","display_name":"National Chengchi University","ror":"https://ror.org/03rqk8h36","country_code":"TW","type":"education","lineage":["https://openalex.org/I87354575"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Ming-Feng Tsai","raw_affiliation_strings":["National Chengchi University, Taipei, Taiwan Roc"],"affiliations":[{"raw_affiliation_string":"National Chengchi University, Taipei, Taiwan Roc","institution_ids":["https://openalex.org/I87354575"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5017348970","display_name":"Chuan\u2010Ju Wang","orcid":"https://orcid.org/0000-0002-5281-2962"},"institutions":[{"id":"https://openalex.org/I84653119","display_name":"Academia Sinica","ror":"https://ror.org/05bxb3784","country_code":"TW","type":"facility","lineage":["https://openalex.org/I84653119"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Chuan-Ju Wang","raw_affiliation_strings":["Academia Sinica, Taipei, Taiwan Roc"],"affiliations":[{"raw_affiliation_string":"Academia Sinica, Taipei, Taiwan Roc","institution_ids":["https://openalex.org/I84653119"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5032873413"],"corresponding_institution_ids":["https://openalex.org/I84653119"],"apc_list":null,"apc_paid":null,"fwci":1.1016,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.81606697,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"2222","last_page":"2226"},"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":0.9886000156402588,"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":0.8434664011001587},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.7089260816574097},{"id":"https://openalex.org/keywords/matrix-decomposition","display_name":"Matrix decomposition","score":0.7042980194091797},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.6134622693061829},{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.6031123399734497},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.4870603382587433},{"id":"https://openalex.org/keywords/sparse-matrix","display_name":"Sparse matrix","score":0.4743023216724396},{"id":"https://openalex.org/keywords/factorization","display_name":"Factorization","score":0.4617012143135071},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3925360441207886},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3882732391357422},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.37417927384376526},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.36925822496414185},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.32093915343284607},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.19919496774673462}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8434664011001587},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.7089260816574097},{"id":"https://openalex.org/C42355184","wikidata":"https://www.wikidata.org/wiki/Q1361088","display_name":"Matrix decomposition","level":3,"score":0.7042980194091797},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.6134622693061829},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.6031123399734497},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.4870603382587433},{"id":"https://openalex.org/C56372850","wikidata":"https://www.wikidata.org/wiki/Q1050404","display_name":"Sparse matrix","level":3,"score":0.4743023216724396},{"id":"https://openalex.org/C187834632","wikidata":"https://www.wikidata.org/wiki/Q188804","display_name":"Factorization","level":2,"score":0.4617012143135071},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3925360441207886},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3882732391357422},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.37417927384376526},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.36925822496414185},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.32093915343284607},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.19919496774673462},{"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3404835.3463087","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3404835.3463087","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1988578917","https://openalex.org/W2054141820","https://openalex.org/W2102765684","https://openalex.org/W2591957553","https://openalex.org/W2608239929","https://openalex.org/W2624617553","https://openalex.org/W2783272285","https://openalex.org/W2894039884","https://openalex.org/W2903296288","https://openalex.org/W2914259457","https://openalex.org/W2923964967","https://openalex.org/W2945623882","https://openalex.org/W2945827670","https://openalex.org/W2963367478","https://openalex.org/W2984100107","https://openalex.org/W2989395196","https://openalex.org/W3045200674","https://openalex.org/W3100278010"],"related_works":["https://openalex.org/W4390273403","https://openalex.org/W4386781444","https://openalex.org/W4246980185","https://openalex.org/W2963185427","https://openalex.org/W2065296176","https://openalex.org/W2342498029","https://openalex.org/W1973739845","https://openalex.org/W119752240","https://openalex.org/W2898722594","https://openalex.org/W4391266752"],"abstract_inverted_index":{"Considering":[0],"the":[1,25,38,49,67,89,102,109,123,132],"temporal":[2,118],"order":[3],"of":[4,13,51,60],"user-item":[5,110,119],"interactions":[6,104],"for":[7,62],"recommendation":[8,14,22,39,115],"forms":[9],"a":[10,57,72],"novel":[11],"class":[12],"algorithms":[15],"in":[16,44],"recent":[17],"years,":[18],"among":[19],"which":[20],"sequential":[21,42],"models":[23,43],"are":[24,56],"most":[26],"popular":[27],"approaches.":[28],"Although,":[29],"theoretically,":[30],"such":[31],"fine-grained":[32],"modeling":[33,90],"should":[34],"be":[35],"beneficial":[36],"to":[37],"performance,":[40],"these":[41],"practice":[45],"greatly":[46],"suffer":[47],"from":[48],"issue":[50],"data":[52],"sparsity":[53],"as":[54],"there":[55],"huge":[58],"number":[59],"combinations":[61],"item":[63],"sequences.":[64],"To":[65],"address":[66],"issue,":[68],"we":[69],"propose":[70],"LSTPR,":[71],"graph-based":[73],"matrix":[74],"factorization":[75],"model":[76,126],"that":[77,122],"incorporates":[78],"both":[79],"high-order":[80],"graph":[81],"information":[82,120],"and":[83,96,100],"long":[84],"short-term":[85,97],"user":[86,98],"preferences":[87,99],"into":[88],"process.":[91],"LSTPR":[92,125],"explicitly":[93],"distinguishes":[94],"long-term":[95],"enriches":[101],"sparse":[103],"via":[105],"random":[106],"surfing":[107],"on":[108,113],"graph.":[111],"Experiments":[112],"three":[114],"datasets":[116],"with":[117],"demonstrate":[121],"proposed":[124],"achieves":[127],"significantly":[128],"better":[129],"performance":[130],"than":[131],"seven":[133],"baseline":[134],"methods.":[135]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}