{"id":"https://openalex.org/W4403221740","doi":"https://doi.org/10.1145/3640457.3688191","title":"Neighborhood-Based Collaborative Filtering for Conversational Recommendation","display_name":"Neighborhood-Based Collaborative Filtering for Conversational Recommendation","publication_year":2024,"publication_date":"2024-10-08","ids":{"openalex":"https://openalex.org/W4403221740","doi":"https://doi.org/10.1145/3640457.3688191"},"language":"en","primary_location":{"id":"doi:10.1145/3640457.3688191","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3640457.3688191","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3640457.3688191","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"18th ACM Conference on Recommender Systems","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3640457.3688191","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5002937160","display_name":"Zhouhang Xie","orcid":"https://orcid.org/0009-0004-6712-0063"},"institutions":[{"id":"https://openalex.org/I36258959","display_name":"University of California San Diego","ror":"https://ror.org/0168r3w48","country_code":"US","type":"education","lineage":["https://openalex.org/I36258959"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhouhang Xie","raw_affiliation_strings":["Computer Science and Engineering, University of California, San Diego, USA"],"raw_orcid":"https://orcid.org/0009-0004-6712-0063","affiliations":[{"raw_affiliation_string":"Computer Science and Engineering, University of California, San Diego, USA","institution_ids":["https://openalex.org/I36258959"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035658564","display_name":"Junda Wu","orcid":"https://orcid.org/0000-0001-6464-7813"},"institutions":[{"id":"https://openalex.org/I36258959","display_name":"University of California San Diego","ror":"https://ror.org/0168r3w48","country_code":"US","type":"education","lineage":["https://openalex.org/I36258959"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Junda Wu","raw_affiliation_strings":["University of California, San Diego, USA"],"raw_orcid":"https://orcid.org/0000-0001-6464-7813","affiliations":[{"raw_affiliation_string":"University of California, San Diego, USA","institution_ids":["https://openalex.org/I36258959"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5096912617","display_name":"Hyunsik Jeon","orcid":"https://orcid.org/0000-0003-0122-9854"},"institutions":[{"id":"https://openalex.org/I36258959","display_name":"University of California San Diego","ror":"https://ror.org/0168r3w48","country_code":"US","type":"education","lineage":["https://openalex.org/I36258959"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hyunsik Jeon","raw_affiliation_strings":["Computer Science and Engineering, University of California, San Diego, USA"],"raw_orcid":"https://orcid.org/0000-0003-0122-9854","affiliations":[{"raw_affiliation_string":"Computer Science and Engineering, University of California, San Diego, USA","institution_ids":["https://openalex.org/I36258959"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061585298","display_name":"Zhankui He","orcid":"https://orcid.org/0000-0002-9139-8004"},"institutions":[{"id":"https://openalex.org/I36258959","display_name":"University of California San Diego","ror":"https://ror.org/0168r3w48","country_code":"US","type":"education","lineage":["https://openalex.org/I36258959"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhankui He","raw_affiliation_strings":["Computer Science and Engineering, University of California, San Diego, USA"],"raw_orcid":"https://orcid.org/0000-0002-9139-8004","affiliations":[{"raw_affiliation_string":"Computer Science and Engineering, University of California, San Diego, USA","institution_ids":["https://openalex.org/I36258959"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070327072","display_name":"Harald Steck","orcid":"https://orcid.org/0009-0007-7448-8335"},"institutions":[{"id":"https://openalex.org/I869089601","display_name":"Netflix (United States)","ror":"https://ror.org/0197qw696","country_code":"US","type":"company","lineage":["https://openalex.org/I869089601"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Harald Steck","raw_affiliation_strings":["Product Data Science and Engineering, Netflix Inc., USA"],"raw_orcid":"https://orcid.org/0009-0007-7448-8335","affiliations":[{"raw_affiliation_string":"Product Data Science and Engineering, Netflix Inc., USA","institution_ids":["https://openalex.org/I869089601"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5107823663","display_name":"Rahul Jha","orcid":"https://orcid.org/0009-0003-1317-6312"},"institutions":[{"id":"https://openalex.org/I869089601","display_name":"Netflix (United States)","ror":"https://ror.org/0197qw696","country_code":"US","type":"company","lineage":["https://openalex.org/I869089601"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Rahul Jha","raw_affiliation_strings":["Algorithms Engineering, Netflix Inc., USA"],"raw_orcid":"https://orcid.org/0009-0003-1317-6312","affiliations":[{"raw_affiliation_string":"Algorithms Engineering, Netflix Inc., USA","institution_ids":["https://openalex.org/I869089601"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079882875","display_name":"Dawen Liang","orcid":"https://orcid.org/0009-0002-9701-6473"},"institutions":[{"id":"https://openalex.org/I869089601","display_name":"Netflix (United States)","ror":"https://ror.org/0197qw696","country_code":"US","type":"company","lineage":["https://openalex.org/I869089601"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dawen Liang","raw_affiliation_strings":["NA, Netflix Inc., USA"],"raw_orcid":"https://orcid.org/0009-0002-9701-6473","affiliations":[{"raw_affiliation_string":"NA, Netflix Inc., USA","institution_ids":["https://openalex.org/I869089601"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036921114","display_name":"Nathan Kallus","orcid":"https://orcid.org/0000-0003-1672-0507"},"institutions":[{"id":"https://openalex.org/I205783295","display_name":"Cornell University","ror":"https://ror.org/05bnh6r87","country_code":"US","type":"education","lineage":["https://openalex.org/I205783295"]},{"id":"https://openalex.org/I869089601","display_name":"Netflix (United States)","ror":"https://ror.org/0197qw696","country_code":"US","type":"company","lineage":["https://openalex.org/I869089601"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Nathan Kallus","raw_affiliation_strings":["Cornell University, USA and Netflix Inc., USA"],"raw_orcid":"https://orcid.org/0000-0003-1672-0507","affiliations":[{"raw_affiliation_string":"Cornell University, USA and Netflix Inc., USA","institution_ids":["https://openalex.org/I869089601","https://openalex.org/I205783295"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5021827617","display_name":"Julian McAuley","orcid":"https://orcid.org/0000-0003-0955-7588"},"institutions":[{"id":"https://openalex.org/I36258959","display_name":"University of California San Diego","ror":"https://ror.org/0168r3w48","country_code":"US","type":"education","lineage":["https://openalex.org/I36258959"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Julian Mcauley","raw_affiliation_strings":["University of California San Diego, USA"],"raw_orcid":"https://orcid.org/0000-0003-0955-7588","affiliations":[{"raw_affiliation_string":"University of California San Diego, USA","institution_ids":["https://openalex.org/I36258959"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":9,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.4477,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.93660376,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1045","last_page":"1050"},"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/T12031","display_name":"Speech and dialogue systems","score":0.9930999875068665,"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9912999868392944,"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":0.7786427140235901},{"id":"https://openalex.org/keywords/collaborative-filtering","display_name":"Collaborative filtering","score":0.703066885471344},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.6121563911437988},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.43977484107017517},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.33837467432022095}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7786427140235901},{"id":"https://openalex.org/C21569690","wikidata":"https://www.wikidata.org/wiki/Q94702","display_name":"Collaborative filtering","level":3,"score":0.703066885471344},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.6121563911437988},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.43977484107017517},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.33837467432022095}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3640457.3688191","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3640457.3688191","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3640457.3688191","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"18th ACM Conference on Recommender Systems","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3640457.3688191","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3640457.3688191","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3640457.3688191","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"18th ACM Conference on Recommender Systems","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.5199999809265137,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4403221740.pdf"},"referenced_works_count":26,"referenced_works":["https://openalex.org/W2027829212","https://openalex.org/W2042281163","https://openalex.org/W2108920354","https://openalex.org/W2142144955","https://openalex.org/W2349436533","https://openalex.org/W2560674852","https://openalex.org/W2605350416","https://openalex.org/W2957191877","https://openalex.org/W2963085847","https://openalex.org/W2970236742","https://openalex.org/W2997662139","https://openalex.org/W3038439974","https://openalex.org/W3080122044","https://openalex.org/W3099865390","https://openalex.org/W3100790518","https://openalex.org/W3105114834","https://openalex.org/W3106454043","https://openalex.org/W3113741750","https://openalex.org/W3174681481","https://openalex.org/W4224312735","https://openalex.org/W4283324387","https://openalex.org/W4288096824","https://openalex.org/W4295312788","https://openalex.org/W4386081001","https://openalex.org/W4386729282","https://openalex.org/W4386729453"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2772628444","https://openalex.org/W1484355083","https://openalex.org/W2735929803","https://openalex.org/W4220714703","https://openalex.org/W3008845055","https://openalex.org/W2098758514","https://openalex.org/W2170391450","https://openalex.org/W4376854386","https://openalex.org/W2202724490"],"abstract_inverted_index":{"Conversational":[0],"recommender":[1],"systems":[2],"(CRS)":[3],"should":[4],"understand":[5],"users\u2019":[6],"expressed":[7],"interests,":[8],"which":[9],"are":[10],"frequently":[11],"semantically":[12],"rich":[13],"and":[14,98,111,132],"knowledge-intensive.":[15],"Prior":[16],"works":[17],"attempt":[18],"to":[19,115,138],"address":[20],"this":[21,37,72],"challenge":[22],"by":[23,61,84],"using":[24,121],"external":[25],"knowledge":[26,30,46],"bases":[27],"or":[28],"parametric":[29],"in":[31,47],"large":[32],"language":[33],"models":[34,119],"(LLMs).":[35],"In":[36],"paper,":[38],"we":[39,74],"study":[40],"a":[41,76],"complementary":[42],"solution,":[43],"exploiting":[44],"item":[45],"the":[48],"training":[49,69,91],"data.":[50],"We":[51,128],"hypothesize":[52],"that":[53,81],"many":[54],"inference-time":[55],"user":[56],"requests":[57],"can":[58,135],"be":[59,136],"answered":[60],"reusing":[62],"popular":[63],"crowd-written":[64],"answers":[65],"associated":[66,88],"with":[67,89,107],"similar":[68,90],"queries.":[70],"Following":[71],"intuition,":[73],"define":[75],"class":[77],"of":[78],"neighborhood-based":[79],"CRS":[80],"makes":[82],"recommendations":[83],"identifying":[85],"items":[86],"commonly":[87],"dialogue":[92],"contexts.":[93],"Experiments":[94],"on":[95],"Inspired,":[96],"Redial,":[97],"Reddit-Movie":[99],"benchmarks":[100],"show":[101,130],"our":[102],"method":[103],"outperforms":[104],"state-of-the-art":[105],"LLMs":[106],"2":[108],"billion":[109,117],"parameters,":[110],"offers":[112],"on-par":[113],"performance":[114,141],"7":[116],"parameter":[118],"while":[120],"over":[122],"170":[123],"times":[124],"less":[125],"GPU":[126],"memory.":[127],"also":[129],"neighborhood":[131],"model-based":[133],"predictions":[134],"combined":[137],"achieve":[139],"further":[140],"improvements1.":[142]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":3}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
