{"id":"https://openalex.org/W3191396055","doi":"https://doi.org/10.1109/tkde.2021.3102080","title":"SamWalker++: recommendation with informative sampling strategy","display_name":"SamWalker++: recommendation with informative sampling strategy","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W3191396055","doi":"https://doi.org/10.1109/tkde.2021.3102080","mag":"3191396055"},"language":"en","primary_location":{"id":"doi:10.1109/tkde.2021.3102080","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2021.3102080","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Knowledge and Data Engineering","raw_type":"journal-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/A5100428572","display_name":"Can Wang","orcid":"https://orcid.org/0000-0002-2890-0057"},"institutions":[{"id":"https://openalex.org/I168879160","display_name":"Zhejiang University of Science and Technology","ror":"https://ror.org/05mx0wr29","country_code":"CN","type":"education","lineage":["https://openalex.org/I168879160"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Can Wang","raw_affiliation_strings":["School of Computer Science and Technology, Zhejiang University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I168879160"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100362815","display_name":"Jiawei Chen","orcid":"https://orcid.org/0000-0002-4752-2629"},"institutions":[{"id":"https://openalex.org/I168879160","display_name":"Zhejiang University of Science and Technology","ror":"https://ror.org/05mx0wr29","country_code":"CN","type":"education","lineage":["https://openalex.org/I168879160"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiawei Chen","raw_affiliation_strings":["School of Computer Science and Technology, Zhejiang University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I168879160"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100782531","display_name":"Sheng Zhou","orcid":"https://orcid.org/0009-0007-4215-5464"},"institutions":[{"id":"https://openalex.org/I168879160","display_name":"Zhejiang University of Science and Technology","ror":"https://ror.org/05mx0wr29","country_code":"CN","type":"education","lineage":["https://openalex.org/I168879160"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Sheng Zhou","raw_affiliation_strings":["School of Computer Science and Technology, Zhejiang University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I168879160"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065451770","display_name":"Qihao Shi","orcid":"https://orcid.org/0000-0002-7883-9848"},"institutions":[{"id":"https://openalex.org/I168879160","display_name":"Zhejiang University of Science and Technology","ror":"https://ror.org/05mx0wr29","country_code":"CN","type":"education","lineage":["https://openalex.org/I168879160"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qihao Shi","raw_affiliation_strings":["School of Computer Science and Technology, Zhejiang University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I168879160"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056678232","display_name":"Feng Yan","orcid":"https://orcid.org/0000-0001-9926-7554"},"institutions":[{"id":"https://openalex.org/I168879160","display_name":"Zhejiang University of Science and Technology","ror":"https://ror.org/05mx0wr29","country_code":"CN","type":"education","lineage":["https://openalex.org/I168879160"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yan Feng","raw_affiliation_strings":["School of Computer Science and Technology, Zhejiang University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I168879160"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100373367","display_name":"Chun Chen","orcid":"https://orcid.org/0000-0002-6198-7481"},"institutions":[{"id":"https://openalex.org/I168879160","display_name":"Zhejiang University of Science and Technology","ror":"https://ror.org/05mx0wr29","country_code":"CN","type":"education","lineage":["https://openalex.org/I168879160"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chun Chen","raw_affiliation_strings":["School of Computer Science and Technology, Zhejiang University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I168879160"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5100428572"],"corresponding_institution_ids":["https://openalex.org/I168879160"],"apc_list":null,"apc_paid":null,"fwci":3.3049,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.93040948,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":93,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"1"},"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/T12101","display_name":"Advanced Bandit Algorithms Research","score":0.9926000237464905,"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"}},{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9879999756813049,"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":0.7929767966270447},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5594499111175537},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.5262933373451233},{"id":"https://openalex.org/keywords/flexibility","display_name":"Flexibility (engineering)","score":0.5243363976478577},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.47816047072410583},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4483470320701599},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.43526166677474976},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3649601340293884},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3563987612724304},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3378910720348358},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.10767859220504761},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09257546067237854}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7929767966270447},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5594499111175537},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.5262933373451233},{"id":"https://openalex.org/C2780598303","wikidata":"https://www.wikidata.org/wiki/Q65921492","display_name":"Flexibility (engineering)","level":2,"score":0.5243363976478577},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.47816047072410583},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4483470320701599},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.43526166677474976},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3649601340293884},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3563987612724304},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3378910720348358},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.10767859220504761},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09257546067237854},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"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/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tkde.2021.3102080","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2021.3102080","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Knowledge and Data Engineering","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","score":0.5600000023841858,"id":"https://metadata.un.org/sdg/4"}],"awards":[{"id":"https://openalex.org/G3792927286","display_name":null,"funder_award_id":"U1866602","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":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":60,"referenced_works":["https://openalex.org/W118478992","https://openalex.org/W1412447802","https://openalex.org/W1854214752","https://openalex.org/W1886704267","https://openalex.org/W1976999215","https://openalex.org/W1984127251","https://openalex.org/W1991055526","https://openalex.org/W2003413782","https://openalex.org/W2003687960","https://openalex.org/W2006822005","https://openalex.org/W2044051625","https://openalex.org/W2045049260","https://openalex.org/W2084527756","https://openalex.org/W2094286023","https://openalex.org/W2102035799","https://openalex.org/W2119825970","https://openalex.org/W2124187902","https://openalex.org/W2135598826","https://openalex.org/W2164928285","https://openalex.org/W2253995343","https://openalex.org/W2318991869","https://openalex.org/W2340502990","https://openalex.org/W2533413719","https://openalex.org/W2565948352","https://openalex.org/W2604175478","https://openalex.org/W2605148104","https://openalex.org/W2605350416","https://openalex.org/W2607215358","https://openalex.org/W2619206542","https://openalex.org/W2624617553","https://openalex.org/W2640408555","https://openalex.org/W2767980859","https://openalex.org/W2772157149","https://openalex.org/W2788139856","https://openalex.org/W2788456731","https://openalex.org/W2788815754","https://openalex.org/W2798881875","https://openalex.org/W2799048248","https://openalex.org/W2897674092","https://openalex.org/W2908054697","https://openalex.org/W2908074993","https://openalex.org/W2912967843","https://openalex.org/W2950491307","https://openalex.org/W2966799427","https://openalex.org/W2998673651","https://openalex.org/W3011809564","https://openalex.org/W3045200674","https://openalex.org/W3092103025","https://openalex.org/W3101023724","https://openalex.org/W3103801215","https://openalex.org/W3106445281","https://openalex.org/W3156441686","https://openalex.org/W4211017427","https://openalex.org/W4211082256","https://openalex.org/W4294562888","https://openalex.org/W6639055396","https://openalex.org/W6680830989","https://openalex.org/W6682494755","https://openalex.org/W6684578138","https://openalex.org/W6688546294"],"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":{"Recommendation":[0],"from":[1,253,256],"<italic":[2,119,184],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[3,120,185],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">implicit":[4],"feedback</i>":[5],"is":[6,97,112],"a":[7,95,101,108,168,224],"highly":[8],"challenging":[9],"task":[10],"due":[11],"to":[12,117,178,182,272],"the":[13,28,36,51,76,82,126,130,140,190,229,245,254,295,298],"lack":[14,59],"of":[15,38,50,75,81,100,105,205,247,297],"reliable":[16],"negative":[17,32],"feedback":[18,78],"data.":[19,40],"Existing":[20],"methods":[21,84,149],"address":[22,139],"this":[23,42],"challenge":[24],"by":[25],"treating":[26],"all":[27],"un-observed":[29],"data":[30,53,90,165,180,221,249],"as":[31],"(dislike)":[33],"but":[34],"downweight":[35],"confidence":[37,157,166,222,250],"these":[39],"However,":[41,93,189],"treatment":[43],"causes":[44],"two":[45,142,146],"problems:":[46],"(1)":[47],"Confidence":[48],"weights":[49,177],"unobserved":[52,77],"are":[54,234],"usually":[55],"assigned":[56],"manually,":[57],"which":[58,125,172,202,212,278],"flexibility":[60],"and":[61,89,151,159,219,270,284,301],"may":[62,194],"create":[63],"empirical":[64],"bias":[65],"on":[66,86,290],"evaluating":[67],"user's":[68],"preference.":[69],"(2)":[70],"To":[71,138],"handle":[72],"massive":[73],"volume":[74],"data,":[79],"most":[80],"existing":[83,115],"rely":[85],"stochastic":[87],"inference":[88,246],"sampling":[91,265,286],"strategies.":[92],"since":[94],"user":[96,127],"only":[98],"aware":[99],"very":[102],"small":[103],"fraction":[104],"items":[106],"in":[107,124,198],"large":[109],"dataset,":[110],"it":[111],"difficult":[113],"for":[114,267],"samplers":[116],"select":[118],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">informative</i>":[121],"training":[122,276],"instances":[123],"really":[128],"dislikes":[129],"item":[131,238],"rather":[132],"than":[133],"does":[134,213],"not":[135,195,214],"know":[136],"it.":[137],"above":[141],"problems,":[143],"we":[144,208],"propose":[145,210],"novel":[147],"recommendation":[148],"SamWalker":[150,163,269,300],"SamWalker++":[152,271],"that":[153],"support":[154],"both":[155],"adaptive":[156],"assignment":[158],"efficient":[160],"model":[161],"learning.":[162],"models":[164,220],"with":[167,223,236],"social":[169,191],"network-aware":[170],"function,":[171],"can":[173,251,279],"adaptively":[174,273],"specify":[175],"different":[176,179],"according":[181],"users\u2019":[183],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">social":[186],"contexts</i>":[187],".":[188],"network":[192],"information":[193,218],"be":[196],"available":[197],"many":[199],"recommender":[200],"systems,":[201],"hinders":[203],"application":[204],"SamWalker.":[206],"Thus,":[207],"further":[209],"SamWalker++,":[211],"require":[215],"any":[216],"side":[217],"constructed":[225],"pseudo-social":[226,230],"network.":[227],"In":[228],"network,":[231],"similar":[232,258],"users":[233],"connected":[235],"specific":[237],"nodes":[239],"or":[240],"community":[241],"nodes.":[242],"This":[243],"way,":[244],"one's":[248],"benefit":[252],"knowledge":[255],"other":[257],"users.":[259],"We":[260],"also":[261],"develop":[262],"fast":[263],"random-walk-based":[264],"strategies":[266],"our":[268],"draw":[274],"informative":[275],"instances,":[277],"speed":[280],"up":[281],"gradient":[282],"estimation":[283],"reduce":[285],"variance.":[287],"Extensive":[288],"experiments":[289],"five":[291],"real-world":[292],"datasets":[293],"demonstrate":[294],"superiority":[296],"proposed":[299],"SamWalker++.":[302]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
