{"id":"https://openalex.org/W2347142040","doi":"https://doi.org/10.1145/2851581.2892362","title":"Evaluating Item-Item Similarity Algorithms for Movies","display_name":"Evaluating Item-Item Similarity Algorithms for Movies","publication_year":2016,"publication_date":"2016-05-06","ids":{"openalex":"https://openalex.org/W2347142040","doi":"https://doi.org/10.1145/2851581.2892362","mag":"2347142040"},"language":"en","primary_location":{"id":"doi:10.1145/2851581.2892362","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2851581.2892362","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2016 CHI Conference Extended Abstracts on Human Factors in Computing Systems","raw_type":"proceedings-article"},"type":"conference-paper","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/A5068676647","display_name":"Lucas Colucci","orcid":null},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Lucas Colucci","raw_affiliation_strings":["Carnegie Mellon University, Moffett Field, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University, Moffett Field, CA, USA","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055104850","display_name":"Prachi Doshi","orcid":null},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Prachi Doshi","raw_affiliation_strings":["Carnegie Mellon University, Moffett Field, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University, Moffett Field, CA, USA","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061211542","display_name":"Kun-Lin Lee","orcid":"https://orcid.org/0000-0001-6222-6206"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kun-Lin Lee","raw_affiliation_strings":["Carnegie Mellon University, Moffett Field, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University, Moffett Field, CA, USA","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015135207","display_name":"Jiajie Liang","orcid":"https://orcid.org/0000-0003-2112-6721"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jiajie Liang","raw_affiliation_strings":["Carnegie Mellon University, Moffett Field, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University, Moffett Field, CA, USA","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102997976","display_name":"Lin Yin","orcid":"https://orcid.org/0000-0003-3604-506X"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yin Lin","raw_affiliation_strings":["Carnegie Mellon University, Moffett Field, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University, Moffett Field, CA, USA","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027625475","display_name":"Ishan Vashishtha","orcid":null},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ishan Vashishtha","raw_affiliation_strings":["Carnegie Mellon University, Moffett Field, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University, Moffett Field, CA, USA","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100360704","display_name":"Jia Zhang","orcid":"https://orcid.org/0000-0003-2148-0923"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jia Zhang","raw_affiliation_strings":["Carnegie Mellon University, Mountain View, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University, Mountain View, CA, USA","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5065019193","display_name":"Alvin Jude","orcid":null},"institutions":[{"id":"https://openalex.org/I4210139236","display_name":"Ericsson (United States)","ror":"https://ror.org/03q3bdj78","country_code":"US","type":"company","lineage":["https://openalex.org/I1306339040","https://openalex.org/I4210139236"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Alvin Jude","raw_affiliation_strings":["Ericsson Research, San Jose, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ericsson Research, San Jose, CA, USA","institution_ids":["https://openalex.org/I4210139236"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.3585,"has_fulltext":false,"cited_by_count":20,"citation_normalized_percentile":{"value":0.9006449,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"2141","last_page":"2147"},"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":0.9959999918937683,"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/T10028","display_name":"Topic Modeling","score":0.989799976348877,"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/collaborative-filtering","display_name":"Collaborative filtering","score":0.8825812339782715},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.8109056949615479},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7451485395431519},{"id":"https://openalex.org/keywords/correctness","display_name":"Correctness","score":0.7313498258590698},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.7244744896888733},{"id":"https://openalex.org/keywords/cosine-similarity","display_name":"Cosine similarity","score":0.7208651304244995},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.606357991695404},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5834993124008179},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5135098099708557},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.379635751247406},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3395717740058899},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.20561069250106812},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.16044849157333374}],"concepts":[{"id":"https://openalex.org/C21569690","wikidata":"https://www.wikidata.org/wiki/Q94702","display_name":"Collaborative filtering","level":3,"score":0.8825812339782715},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.8109056949615479},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7451485395431519},{"id":"https://openalex.org/C55439883","wikidata":"https://www.wikidata.org/wiki/Q360812","display_name":"Correctness","level":2,"score":0.7313498258590698},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.7244744896888733},{"id":"https://openalex.org/C2780762811","wikidata":"https://www.wikidata.org/wiki/Q1784941","display_name":"Cosine similarity","level":3,"score":0.7208651304244995},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.606357991695404},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5834993124008179},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5135098099708557},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.379635751247406},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3395717740058899},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.20561069250106812},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.16044849157333374},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2851581.2892362","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2851581.2892362","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2016 CHI Conference Extended Abstracts on Human Factors in Computing Systems","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W1966553486","https://openalex.org/W2006642624","https://openalex.org/W2042281163","https://openalex.org/W2097129520","https://openalex.org/W2141282920","https://openalex.org/W2159094788","https://openalex.org/W2161351857"],"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/W2389818373","https://openalex.org/W1966742602","https://openalex.org/W2576320324","https://openalex.org/W2801158176"],"abstract_inverted_index":{"Recommender":[0],"systems":[1,10],"such":[2],"as":[3,57,87],"those":[4],"used":[5,86],"in":[6,54],"e-commerce":[7],"or":[8],"Video-On-Demand":[9],"generally":[11],"show":[12],"users":[13,32],"a":[14,43,118],"list":[15,81],"of":[16,114,120],"\"similar":[17],"items.\"":[18],"Many":[19],"algorithms":[20,49],"exist":[21],"to":[22,29,50,60,127],"calculate":[23],"item-item":[24,55],"similarity":[25,48,56,80],"and":[26,74,103],"we":[27,41,125],"wished":[28],"evaluate":[30,51],"how":[31],"perceive":[33],"these":[34],"numerically":[35],"expressed":[36],"similarity.":[37],"In":[38],"our":[39,115],"experiment,":[40],"performed":[42],"user":[44],"study":[45],"with":[46,68,72,76],"four":[47],"perceived":[52,98],"correctness":[53],"it":[58],"relates":[59],"movies.":[61],"We":[62],"implemented":[63],"three":[64],"algorithms:":[65],"collaborative":[66,70],"filtering":[67,71],"Pearson,":[69],"cosine,":[73],"content-filtering":[75],"TF-IDF.":[77],"A":[78,112],"pre-generated":[79],"from":[82],"TheMovieDB.org":[83],"(TMDb)":[84],"was":[85,107,117],"the":[88,96],"baseline.":[89],"Our":[90],"experiment":[91,116],"showed":[92],"that":[93],"TMDb":[94],"has":[95],"highest":[97],"similarity,":[99],"followed":[100],"by":[101],"cosine":[102],"TF-IDF,":[104],"while":[105],"Pearson":[106],"practically":[108],"unusable":[109],"for":[110,129],"users.":[111],"by-product":[113],"set":[119],"similar":[121],"movie":[122],"pairs,":[123],"which":[124],"intend":[126],"use":[128],"offline":[130],"evaluation.":[131]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":3}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}