{"id":"https://openalex.org/W2782898692","doi":"https://doi.org/10.7287/peerj.preprints.26444v1","title":"A novel collaborative filtering algorithm by bit mining frequent itemsets","display_name":"A novel collaborative filtering algorithm by bit mining frequent itemsets","publication_year":2018,"publication_date":"2018-01-18","ids":{"openalex":"https://openalex.org/W2782898692","doi":"https://doi.org/10.7287/peerj.preprints.26444v1","mag":"2782898692"},"language":"en","primary_location":{"id":"doi:10.7287/peerj.preprints.26444v1","is_oa":true,"landing_page_url":"https://doi.org/10.7287/peerj.preprints.26444v1","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":null,"raw_type":"posted-content"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.7287/peerj.preprints.26444v1","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5055078097","display_name":"Loc Nguyen","orcid":"https://orcid.org/0000-0001-5192-8106"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Loc Nguyen","raw_affiliation_strings":["Board of Directors, Sunflower Soft Company, Ho Chi Minh, Vietnam"],"affiliations":[{"raw_affiliation_string":"Board of Directors, Sunflower Soft Company, Ho Chi Minh, Vietnam","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5045053431","display_name":"T. Minh-Phung","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Minh-Phung T. Do","raw_affiliation_strings":["University of Information Technology, Ho Chi Minh, Vietnam"],"affiliations":[{"raw_affiliation_string":"University of Information Technology, Ho Chi Minh, Vietnam","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5055078097"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.7854,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.78983091,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9991999864578247,"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":0.9991999864578247,"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/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9984999895095825,"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/T12384","display_name":"Customer churn and segmentation","score":0.9900000095367432,"subfield":{"id":"https://openalex.org/subfields/1406","display_name":"Marketing"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7375587224960327},{"id":"https://openalex.org/keywords/bitwise-operation","display_name":"Bitwise operation","score":0.7233321666717529},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6707097887992859},{"id":"https://openalex.org/keywords/collaborative-filtering","display_name":"Collaborative filtering","score":0.6680832505226135},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.6506820917129517},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5966447591781616},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5240321755409241},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.4938982129096985},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4850999116897583},{"id":"https://openalex.org/keywords/heuristic","display_name":"Heuristic","score":0.4847676157951355},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.4390637278556824},{"id":"https://openalex.org/keywords/association-rule-learning","display_name":"Association rule learning","score":0.4321642518043518},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.3406375050544739},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.27945753931999207},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2617746591567993},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12094739079475403},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09350311756134033}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7375587224960327},{"id":"https://openalex.org/C134765980","wikidata":"https://www.wikidata.org/wiki/Q879126","display_name":"Bitwise operation","level":2,"score":0.7233321666717529},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6707097887992859},{"id":"https://openalex.org/C21569690","wikidata":"https://www.wikidata.org/wiki/Q94702","display_name":"Collaborative filtering","level":3,"score":0.6680832505226135},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.6506820917129517},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5966447591781616},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5240321755409241},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.4938982129096985},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4850999116897583},{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.4847676157951355},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.4390637278556824},{"id":"https://openalex.org/C193524817","wikidata":"https://www.wikidata.org/wiki/Q386780","display_name":"Association rule learning","level":2,"score":0.4321642518043518},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.3406375050544739},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.27945753931999207},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2617746591567993},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12094739079475403},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09350311756134033},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.7287/peerj.preprints.26444v1","is_oa":true,"landing_page_url":"https://doi.org/10.7287/peerj.preprints.26444v1","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":null,"raw_type":"posted-content"}],"best_oa_location":{"id":"doi:10.7287/peerj.preprints.26444v1","is_oa":true,"landing_page_url":"https://doi.org/10.7287/peerj.preprints.26444v1","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":null,"raw_type":"posted-content"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W1541154936","https://openalex.org/W1629473008","https://openalex.org/W1690919088","https://openalex.org/W1845064206","https://openalex.org/W1978052014","https://openalex.org/W2059461309","https://openalex.org/W2138108551","https://openalex.org/W2140190241","https://openalex.org/W2163406942"],"related_works":["https://openalex.org/W1484355083","https://openalex.org/W2772628444","https://openalex.org/W4220714703","https://openalex.org/W2735929803","https://openalex.org/W2170391450","https://openalex.org/W2098758514","https://openalex.org/W3008845055","https://openalex.org/W2041004656","https://openalex.org/W4376854386","https://openalex.org/W38161807"],"abstract_inverted_index":{"Collaborative":[0],"filtering":[1],"(CF)":[2],"is":[3,69,91,137],"a":[4,36,127,130,134],"popular":[5],"technique":[6],"in":[7,114,132,157],"recommendation":[8,162],"study.":[9],"Concretely,":[10],"items":[11,49],"which":[12,29,50,125],"are":[13,17,24,30,55],"recommended":[14,56],"to":[15,52,57,159,178],"user":[16],"determined":[18],"by":[19,41,93],"surveying":[20],"her/his":[21],"communities.":[22],"There":[23],"two":[25],"main":[26],"CF":[27,38,60],"approaches,":[28],"memory-based":[31],"and":[32,154,182],"model-based.":[33],"I":[34,74,144],"propose":[35,76],"new":[37],"model-based":[39],"algorithm":[40,61,80,90],"mining":[42,67,86,156],"frequent":[43,53,87,116,141],"itemsets":[44,54],"from":[45],"rating":[46],"database.":[47],"Hence":[48],"belong":[51],"user.":[58],"My":[59],"gives":[62],"immediate":[63],"response":[64],"because":[65],"the":[66,83,99,105],"task":[68],"performed":[70],"at":[71],"offline":[72],"process-mode.":[73],"also":[75],"another":[77],"so-called":[78],"Roller":[79,89],"for":[81],"improving":[82],"process":[84],"of":[85,101,139,168],"itemsets.":[88,142],"implemented":[92],"heuristic":[94],"assumption":[95],"\u201c":[96],"The":[97],"larger":[98],"support":[100],"an":[102],"item":[103,111],"is,":[104],"higher":[106],"it\u2019s":[107],"likely":[108],"that":[109,136],"this":[110],"will":[112],"occur":[113],"some":[115],"itemset":[117],"\u201d.":[118],"It":[119],"models":[120],"upon":[121],"doing":[122],"white-wash":[123],"task,":[124],"rolls":[126],"roller":[128],"on":[129],"wall":[131],"such":[133,148],"way":[135],"capable":[138],"picking":[140],"Moreover":[143],"provide":[145],"enhanced":[146],"techniques":[147,165],"as":[149,177],"bit":[150,152,155],"representation,":[151],"matching":[153],"order":[158],"speed":[160],"up":[161],"process.":[163],"These":[164],"take":[166],"advantages":[167],"bitwise":[169],"operations":[170],"(":[171],"AND":[172],",":[173],"NOT":[174],")":[175],"so":[176],"reduce":[179],"storage":[180],"space":[181],"make":[183],"algorithms":[184],"run":[185],"faster.":[186]},"counts_by_year":[{"year":2020,"cited_by_count":2}],"updated_date":"2025-11-25T14:43:58.451035","created_date":"2025-10-10T00:00:00"}