{"id":"https://openalex.org/W4416036157","doi":"https://doi.org/10.18653/v1/2025.emnlp-main.894","title":"EasyRec: Simple yet Effective Language Models for Recommendation","display_name":"EasyRec: Simple yet Effective Language Models for Recommendation","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4416036157","doi":"https://doi.org/10.18653/v1/2025.emnlp-main.894"},"language":null,"primary_location":{"id":"doi:10.18653/v1/2025.emnlp-main.894","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2025.emnlp-main.894","pdf_url":"https://aclanthology.org/2025.emnlp-main.894.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://aclanthology.org/2025.emnlp-main.894.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5003117295","display_name":"Xubin Ren","orcid":"https://orcid.org/0000-0003-3332-1073"},"institutions":[{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["HK"],"is_corresponding":true,"raw_author_name":"Xubin Ren","raw_affiliation_strings":["The University of Hong Kong The University of Hong Kong"],"affiliations":[{"raw_affiliation_string":"The University of Hong Kong The University of Hong Kong","institution_ids":["https://openalex.org/I889458895"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5091518548","display_name":"Chao Huang","orcid":"https://orcid.org/0009-0003-3740-4500"},"institutions":[{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Chao Huang","raw_affiliation_strings":["The University of Hong Kong The University of Hong Kong"],"affiliations":[{"raw_affiliation_string":"The University of Hong Kong The University of Hong Kong","institution_ids":["https://openalex.org/I889458895"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5003117295"],"corresponding_institution_ids":["https://openalex.org/I889458895"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.45989914,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"17728","last_page":"17743"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.3693000078201294,"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":0.3693000078201294,"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/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.05420000106096268,"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"}},{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.04129999876022339,"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/simple","display_name":"Simple (philosophy)","score":0.4830000102519989},{"id":"https://openalex.org/keywords/language-model","display_name":"Language model","score":0.3978999853134155},{"id":"https://openalex.org/keywords/natural-language","display_name":"Natural language","score":0.3361000120639801},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.27869999408721924},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.2734000086784363}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6700000166893005},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.4830000102519989},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4634999930858612},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.44530001282691956},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.3978999853134155},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"score":0.3361000120639801},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.27869999408721924},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.2734000086784363},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.25369998812675476},{"id":"https://openalex.org/C129792486","wikidata":"https://www.wikidata.org/wiki/Q1050419","display_name":"Language identification","level":3,"score":0.24629999697208405}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/2025.emnlp-main.894","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2025.emnlp-main.894","pdf_url":"https://aclanthology.org/2025.emnlp-main.894.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/2025.emnlp-main.894","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2025.emnlp-main.894","pdf_url":"https://aclanthology.org/2025.emnlp-main.894.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1231421488","display_name":null,"funder_award_id":"under","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G37568934","display_name":null,"funder_award_id":"Grant","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7033253288","display_name":null,"funder_award_id":"Grants","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":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4416036157.pdf","grobid_xml":"https://content.openalex.org/works/W4416036157.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Deep":[0],"neural":[1],"networks":[2],"have":[3],"emerged":[4],"as":[5,122],"a":[6,82,123],"powerful":[7],"technique":[8],"for":[9,20],"learning":[10,40,89],"representations":[11,101],"from":[12],"user-item":[13],"interaction":[14],"data":[15],"in":[16,38,117],"collaborative":[17,79,91,103,130],"filtering":[18,131],"(CF)":[19],"recommender":[21,66],"systems.However,":[22],"many":[23],"existing":[24,134],"methods":[25],"heavily":[26],"rely":[27],"on":[28],"unique":[29],"user":[30,142],"and":[31,49,102,139],"item":[32],"IDs,":[33],"which":[34],"restricts":[35],"their":[36,50],"performance":[37,138],"zero-shot":[39,119],"scenarios.Inspired":[41],"by":[42],"the":[43,56],"success":[44],"of":[45],"language":[46,62,92],"models":[47,63],"(LMs)":[48],"robust":[51],"generalization":[52],"capabilities,":[53],"we":[54,60],"pose":[55],"question:":[57],"How":[58],"can":[59],"leverage":[61],"to":[64,141],"enhance":[65],"systems?We":[67],"propose":[68],"EasyRec,":[69],"an":[70],"effective":[71],"approach":[72],"that":[73,86,126],"integrates":[74,127],"text-based":[75,118],"semantic":[76,100],"understanding":[77],"with":[78,90,136],"signals.EasyRec":[80],"employs":[81],"text-behavior":[83],"alignment":[84,97],"framework":[85],"combines":[87],"contrastive":[88],"model":[93],"tuning.This":[94],"ensures":[95],"strong":[96],"between":[98],"textenhanced":[99],"behavior":[104],"information.Extensive":[105],"evaluations":[106],"across":[107],"diverse":[108],"datasets":[109],"show":[110],"EasyRec":[111],"significantly":[112],"outperforms":[113],"state-of-the-art":[114],"models,":[115],"particularly":[116],"recommendation.EasyRec":[120],"functions":[121],"plug-andplay":[124],"component":[125],"seamlessly":[128],"into":[129],"frameworks.This":[132],"empowers":[133],"systems":[135],"improved":[137],"adaptability":[140],"preferences.":[143]},"counts_by_year":[],"updated_date":"2026-04-18T07:56:08.524223","created_date":"2025-11-08T00:00:00"}
