{"id":"https://openalex.org/W2739690870","doi":"https://doi.org/10.1109/icc.2017.7996544","title":"Dot-product based preference preserved hashing for fast collaborative filtering","display_name":"Dot-product based preference preserved hashing for fast collaborative filtering","publication_year":2017,"publication_date":"2017-05-01","ids":{"openalex":"https://openalex.org/W2739690870","doi":"https://doi.org/10.1109/icc.2017.7996544","mag":"2739690870"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/icc.2017.7996544","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"proceedings-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/A5100456377","display_name":"Yan Zhang","orcid":"https://orcid.org/0000-0003-1585-0801"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yan Zhang","raw_affiliation_strings":["Big Data Research Centre, University of Electronic Science and Technology of China, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"Big Data Research Centre, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102782898","display_name":"Guowu Yang","orcid":"https://orcid.org/0000-0002-1725-4598"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guowu Yang","raw_affiliation_strings":["Big Data Research Centre, University of Electronic Science and Technology of China, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"Big Data Research Centre, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071153569","display_name":"Lin Hu","orcid":"https://orcid.org/0000-0003-1711-4971"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lin Hu","raw_affiliation_strings":["National Key Lab of Commun., University of Electronic Science and Technology of China, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"National Key Lab of Commun., University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035607374","display_name":"Hong Wen","orcid":"https://orcid.org/0000-0002-0073-6101"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hong Wen","raw_affiliation_strings":["National Key Lab of Commun., University of Electronic Science and Technology of China, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"National Key Lab of Commun., University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5029265765","display_name":"Jinsong Wu","orcid":"https://orcid.org/0000-0003-4720-5946"},"institutions":[{"id":"https://openalex.org/I69737025","display_name":"University of Chile","ror":"https://ror.org/047gc3g35","country_code":"CL","type":"education","lineage":["https://openalex.org/I69737025"]}],"countries":["CL"],"is_corresponding":false,"raw_author_name":"Jinsong Wu","raw_affiliation_strings":["Department of Electrical Engineering, Universidad de Chile, Santiago, Chile"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Universidad de Chile, Santiago, Chile","institution_ids":["https://openalex.org/I69737025"]}]}],"institution_assertions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.241,"has_fulltext":true,"fulltext_origin":"ngrams","cited_by_count":5,"citation_normalized_percentile":{"value":0.479388,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":79,"max":81},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9993,"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"}},"topics":[{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9993,"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"}},{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9992,"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/T11478","display_name":"Caching and Content Delivery","score":0.9954,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/dot-product","display_name":"Dot product","score":0.72900873},{"id":"https://openalex.org/keywords/binary-code","display_name":"Binary code","score":0.54141665},{"id":"https://openalex.org/keywords/cosine-similarity","display_name":"Cosine similarity","score":0.46143007}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7446012},{"id":"https://openalex.org/C32900221","wikidata":"https://www.wikidata.org/wiki/Q181365","display_name":"Dot product","level":2,"score":0.72900873},{"id":"https://openalex.org/C99138194","wikidata":"https://www.wikidata.org/wiki/Q183427","display_name":"Hash function","level":2,"score":0.68877244},{"id":"https://openalex.org/C21569690","wikidata":"https://www.wikidata.org/wiki/Q94702","display_name":"Collaborative filtering","level":3,"score":0.6068826},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.59040517},{"id":"https://openalex.org/C63435697","wikidata":"https://www.wikidata.org/wiki/Q864135","display_name":"Binary code","level":3,"score":0.54141665},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.5197839},{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.49512973},{"id":"https://openalex.org/C2780762811","wikidata":"https://www.wikidata.org/wiki/Q1784941","display_name":"Cosine similarity","level":3,"score":0.46143007},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.42743337},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.41730976},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.38529855},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.37898037},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.34476095},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2836979},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.16556478},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15109089},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/icc.2017.7996544","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[],"grants":[],"datasets":[],"versions":[],"referenced_works_count":13,"referenced_works":["https://openalex.org/W1627400044","https://openalex.org/W1870428314","https://openalex.org/W1964080871","https://openalex.org/W1971187657","https://openalex.org/W1999032440","https://openalex.org/W2054141820","https://openalex.org/W2059851891","https://openalex.org/W2074668987","https://openalex.org/W2101101192","https://openalex.org/W2127683714","https://openalex.org/W2151464835","https://openalex.org/W2167032986","https://openalex.org/W2912236665"],"related_works":["https://openalex.org/W88463392","https://openalex.org/W4391382803","https://openalex.org/W4387754117","https://openalex.org/W4387359329","https://openalex.org/W4318187622","https://openalex.org/W3197846799","https://openalex.org/W3185823052","https://openalex.org/W2576320324","https://openalex.org/W2389818373","https://openalex.org/W2293021698"],"abstract_inverted_index":{"Recommendation":[0],"is":[1,25,94],"widely":[2],"used":[3],"to":[4,74,77,83,96,103,129,168,180,189],"deal":[5],"with":[6],"information":[7,15],"overloading":[8],"by":[9,37,114],"suggesting":[10],"items":[11],"based":[12,147],"on":[13,177],"historical":[14],"of":[16,19,33,40,86,111,134],"users.":[17],"One":[18],"the":[20,31,84,132,170,178,183,190],"most":[21,104],"popular":[22],"recommendation":[23,54],"techniques":[24],"matrix":[26],"factorization":[27],"(MF),":[28],"in":[29,65,89,159],"which":[30,152],"preferences":[32,63,80],"users":[34,46],"are":[35],"estimated":[36],"dot":[38,135,160],"products":[39],"their":[41],"real":[42,66],"latent":[43],"factors":[44],"between":[45],"and":[47,118,156],"items.":[48],"Although":[49],"MF":[50],"can":[51,71],"achieve":[52],"high":[53],"accuracy,":[55],"it":[56,93],"suffers":[57],"from":[58,138],"efficiency":[59],"issues":[60],"when":[61],"making":[62],"ranking":[64],"space.":[67],"Hash":[68],"retrieval":[69],"technique":[70],"be":[72],"applied":[73],"recommender":[75],"systems":[76],"speed":[78],"up":[79],"ranking.":[81],"Due":[82],"existence":[85],"discrete":[87,116],"constraints":[88,117],"learning":[90,100],"hash":[91],"codes,":[92],"possible":[95],"exploit":[97],"a":[98,145],"two-stage":[99,108],"procedure":[101,109],"according":[102],"existing":[105,123],"methods.":[106],"This":[107],"consists":[110],"relaxed":[112],"optimization":[113],"discarding":[115],"subsequent":[119],"binary":[120,198],"quantization.":[121,139,175],"However,":[122],"methods":[124],"have":[125],"not":[126],"been":[127],"able":[128],"well":[130],"handle":[131],"change":[133],"product":[136,161],"arising":[137],"To":[140],"this":[141],"end,":[142],"we":[143],"propose":[144],"dot-product":[146],"preference":[148],"preserved":[149],"hashing":[150],"method,":[151],"quantizes":[153],"both":[154],"norm":[155,174],"cosine":[157],"similarity":[158],"respectively.":[162],"We":[163],"also":[164],"design":[165],"an":[166],"algorithm":[167],"optimize":[169],"bit":[171],"length":[172],"for":[173],"Based":[176],"evaluation":[179],"several":[181],"datasets,":[182],"proposed":[184],"framework":[185],"shows":[186],"consistent":[187],"superiority":[188],"competing":[191],"baselines":[192],"even":[193],"though":[194],"only":[195],"using":[196],"shorter":[197],"code.":[199]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W2739690870","counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2018,"cited_by_count":2}],"updated_date":"2025-01-07T06:55:47.725321","created_date":"2017-08-08"}