{"id":"https://openalex.org/W3094127838","doi":"https://doi.org/10.1145/3340531.3412095","title":"Revisiting Alternative Experimental Settings for Evaluating Top-N Item Recommendation Algorithms","display_name":"Revisiting Alternative Experimental Settings for Evaluating Top-N Item Recommendation Algorithms","publication_year":2020,"publication_date":"2020-10-19","ids":{"openalex":"https://openalex.org/W3094127838","doi":"https://doi.org/10.1145/3340531.3412095","mag":"3094127838"},"language":"en","primary_location":{"id":"doi:10.1145/3340531.3412095","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3340531.3412095","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 29th ACM International Conference on Information &amp; Knowledge Management","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/A5037145565","display_name":"Wayne Xin Zhao","orcid":"https://orcid.org/0000-0002-8333-6196"},"institutions":[{"id":"https://openalex.org/I78988378","display_name":"Renmin University of China","ror":"https://ror.org/041pakw92","country_code":"CN","type":"education","lineage":["https://openalex.org/I78988378"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Wayne Xin Zhao","raw_affiliation_strings":["Renmin University of China &amp; Beijing Key Laboratory of Big Data Management and Analysis Methods, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Renmin University of China &amp; Beijing Key Laboratory of Big Data Management and Analysis Methods, Beijing, China","institution_ids":["https://openalex.org/I78988378"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100636763","display_name":"Junhua Chen","orcid":"https://orcid.org/0000-0002-0947-6879"},"institutions":[{"id":"https://openalex.org/I78988378","display_name":"Renmin University of China","ror":"https://ror.org/041pakw92","country_code":"CN","type":"education","lineage":["https://openalex.org/I78988378"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junhua Chen","raw_affiliation_strings":["Renmin University of China, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Renmin University of China, Beijing, China","institution_ids":["https://openalex.org/I78988378"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100399541","display_name":"Pengfei Wang","orcid":"https://orcid.org/0000-0001-8658-7102"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Pengfei Wang","raw_affiliation_strings":["Beijing University of Posts and Telecommunications, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101819875","display_name":"Qi Gu","orcid":"https://orcid.org/0000-0001-8709-2865"},"institutions":[{"id":"https://openalex.org/I78988378","display_name":"Renmin University of China","ror":"https://ror.org/041pakw92","country_code":"CN","type":"education","lineage":["https://openalex.org/I78988378"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qi Gu","raw_affiliation_strings":["Renmin University of China, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Renmin University of China, Beijing, China","institution_ids":["https://openalex.org/I78988378"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5025631695","display_name":"Ji-Rong Wen","orcid":"https://orcid.org/0000-0002-9777-9676"},"institutions":[{"id":"https://openalex.org/I78988378","display_name":"Renmin University of China","ror":"https://ror.org/041pakw92","country_code":"CN","type":"education","lineage":["https://openalex.org/I78988378"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ji-Rong Wen","raw_affiliation_strings":["Renmin University of China &amp; Beijing Key Laboratory of Big Data Management and Analysis Methods, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Renmin University of China &amp; Beijing Key Laboratory of Big Data Management and Analysis Methods, Beijing, China","institution_ids":["https://openalex.org/I78988378"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5037145565"],"corresponding_institution_ids":["https://openalex.org/I78988378"],"apc_list":null,"apc_paid":null,"fwci":11.376,"has_fulltext":false,"cited_by_count":79,"citation_normalized_percentile":{"value":0.98458452,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"2329","last_page":"2332"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9977999925613403,"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":0.7932173013687134},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.6781756281852722},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6318057775497437},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5899985432624817},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.5736569166183472},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5456850528717041},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5288646817207336},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.517129123210907},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.47377610206604004},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.457549512386322},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4253161549568176},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.37313738465309143},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10205268859863281}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7932173013687134},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.6781756281852722},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6318057775497437},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5899985432624817},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.5736569166183472},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5456850528717041},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5288646817207336},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.517129123210907},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.47377610206604004},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.457549512386322},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4253161549568176},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.37313738465309143},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10205268859863281},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"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/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3340531.3412095","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3340531.3412095","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 29th ACM International Conference on Information &amp; Knowledge Management","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":10,"referenced_works":["https://openalex.org/W1971040550","https://openalex.org/W1994389483","https://openalex.org/W2045745608","https://openalex.org/W2078488685","https://openalex.org/W2097638479","https://openalex.org/W2136189984","https://openalex.org/W2624407581","https://openalex.org/W2980789769","https://openalex.org/W3098649723","https://openalex.org/W4297971002"],"related_works":["https://openalex.org/W2366107444","https://openalex.org/W4388145910","https://openalex.org/W4390273403","https://openalex.org/W4386781444","https://openalex.org/W2381570729","https://openalex.org/W1976205134","https://openalex.org/W4248336175","https://openalex.org/W2150182025","https://openalex.org/W3092950680","https://openalex.org/W2389015757"],"abstract_inverted_index":{"Top-N":[0],"item":[1,106],"recommendation":[2,29,42,60],"has":[3,15],"been":[4,16],"a":[5,73],"widely":[6],"studied":[7],"task":[8],"from":[9],"implicit":[10],"feedback.":[11],"Although":[12],"much":[13],"progress":[14],"made":[17],"with":[18],"neural":[19,66],"methods,":[20],"there":[21],"is":[22],"increasing":[23],"concern":[24],"on":[25,72,87,96],"appropriate":[26],"evaluation":[27],"of":[28],"algorithms.":[30],"In":[31],"this":[32],"paper,":[33],"we":[34,82],"revisit":[35],"alternative":[36],"experimental":[37],"settings":[38],"for":[39,104],"evaluating":[40],"top-N":[41,105],"algorithms,":[43],"considering":[44],"three":[45,89],"important":[46,85],"factors,":[47,90],"namely":[48],"dataset":[49],"splitting,":[50],"sampled":[51],"metrics":[52],"and":[53,65,68],"domain":[54],"selection.":[55],"We":[56],"select":[57],"eight":[58],"representative":[59],"algorithms":[61],"(covering":[62],"both":[63],"traditional":[64],"methods)":[67],"construct":[69],"extensive":[70],"experiments":[71,103],"very":[74],"large":[75],"dataset.":[76],"By":[77],"carefully":[78],"revisiting":[79],"different":[80],"options,":[81],"make":[83],"several":[84],"findings":[86],"the":[88,102],"which":[91],"directly":[92],"provide":[93],"useful":[94],"suggestions":[95],"how":[97],"to":[98],"appropriately":[99],"set":[100],"up":[101],"recommendation.":[107]},"counts_by_year":[{"year":2025,"cited_by_count":19},{"year":2024,"cited_by_count":19},{"year":2023,"cited_by_count":20},{"year":2022,"cited_by_count":13},{"year":2021,"cited_by_count":7},{"year":2020,"cited_by_count":1}],"updated_date":"2026-03-09T08:58:05.943551","created_date":"2025-10-10T00:00:00"}
