{"id":"https://openalex.org/W4386765220","doi":"https://doi.org/10.1109/dac56929.2023.10247860","title":"Ising-CF: A Pathbreaking Collaborative Filtering Method Through Efficient Ising Machine Learning","display_name":"Ising-CF: A Pathbreaking Collaborative Filtering Method Through Efficient Ising Machine Learning","publication_year":2023,"publication_date":"2023-07-09","ids":{"openalex":"https://openalex.org/W4386765220","doi":"https://doi.org/10.1109/dac56929.2023.10247860"},"language":"en","primary_location":{"id":"doi:10.1109/dac56929.2023.10247860","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dac56929.2023.10247860","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 60th ACM/IEEE Design Automation Conference (DAC)","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/A5100355533","display_name":"Zhuo Liu","orcid":"https://orcid.org/0000-0003-0961-7149"},"institutions":[{"id":"https://openalex.org/I5388228","display_name":"University of Rochester","ror":"https://ror.org/022kthw22","country_code":"US","type":"education","lineage":["https://openalex.org/I5388228"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhuo Liu","raw_affiliation_strings":["University of Rochester"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Rochester","institution_ids":["https://openalex.org/I5388228"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003942837","display_name":"Yunan Yang","orcid":"https://orcid.org/0000-0001-7238-7978"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yunan Yang","raw_affiliation_strings":["ETH Z&#x00FC;rich"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ETH Z&#x00FC;rich","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102017711","display_name":"Zhenyu Pan","orcid":"https://orcid.org/0009-0009-2805-6018"},"institutions":[{"id":"https://openalex.org/I5388228","display_name":"University of Rochester","ror":"https://ror.org/022kthw22","country_code":"US","type":"education","lineage":["https://openalex.org/I5388228"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhenyu Pan","raw_affiliation_strings":["University of Rochester"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Rochester","institution_ids":["https://openalex.org/I5388228"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008349150","display_name":"Anshujit Sharma","orcid":"https://orcid.org/0000-0003-2025-0392"},"institutions":[{"id":"https://openalex.org/I5388228","display_name":"University of Rochester","ror":"https://ror.org/022kthw22","country_code":"US","type":"education","lineage":["https://openalex.org/I5388228"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Anshujit Sharma","raw_affiliation_strings":["University of Rochester"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Rochester","institution_ids":["https://openalex.org/I5388228"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112719950","display_name":"Amit Hasan","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Amit Hasan","raw_affiliation_strings":["University of Connecticut"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Connecticut","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030060072","display_name":"Caiwen Ding","orcid":"https://orcid.org/0000-0003-0891-1231"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Caiwen Ding","raw_affiliation_strings":["University of Connecticut"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Connecticut","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100413657","display_name":"Ang Li","orcid":"https://orcid.org/0000-0003-3734-9137"},"institutions":[{"id":"https://openalex.org/I142606810","display_name":"Pacific Northwest National Laboratory","ror":"https://ror.org/05h992307","country_code":"US","type":"facility","lineage":["https://openalex.org/I1325736334","https://openalex.org/I1330989302","https://openalex.org/I142606810","https://openalex.org/I39565521"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ang Li","raw_affiliation_strings":["Pacific Northwest National Laboratory"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Pacific Northwest National Laboratory","institution_ids":["https://openalex.org/I142606810"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078079786","display_name":"Michael Huang","orcid":"https://orcid.org/0000-0001-9799-2920"},"institutions":[{"id":"https://openalex.org/I5388228","display_name":"University of Rochester","ror":"https://ror.org/022kthw22","country_code":"US","type":"education","lineage":["https://openalex.org/I5388228"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Michael Huang","raw_affiliation_strings":["University of Rochester"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Rochester","institution_ids":["https://openalex.org/I5388228"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5078443672","display_name":"Tong Geng","orcid":"https://orcid.org/0000-0002-3644-2922"},"institutions":[{"id":"https://openalex.org/I5388228","display_name":"University of Rochester","ror":"https://ror.org/022kthw22","country_code":"US","type":"education","lineage":["https://openalex.org/I5388228"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tong Geng","raw_affiliation_strings":["University of Rochester"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Rochester","institution_ids":["https://openalex.org/I5388228"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":17,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10682","display_name":"Quantum Computing Algorithms and Architecture","score":0.9818000197410583,"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"}},"topics":[{"id":"https://openalex.org/T10682","display_name":"Quantum Computing Algorithms and Architecture","score":0.9818000197410583,"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/T11804","display_name":"Quantum many-body systems","score":0.9807999730110168,"subfield":{"id":"https://openalex.org/subfields/3107","display_name":"Atomic and Molecular Physics, and Optics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/ising-model","display_name":"Ising model","score":0.9759689569473267},{"id":"https://openalex.org/keywords/square-lattice-ising-model","display_name":"Square-lattice Ising model","score":0.5640091300010681},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5442150235176086},{"id":"https://openalex.org/keywords/statistical-physics","display_name":"Statistical physics","score":0.44819557666778564},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.381302148103714},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.28280800580978394}],"concepts":[{"id":"https://openalex.org/C51329190","wikidata":"https://www.wikidata.org/wiki/Q1076349","display_name":"Ising model","level":2,"score":0.9759689569473267},{"id":"https://openalex.org/C49005734","wikidata":"https://www.wikidata.org/wiki/Q7581981","display_name":"Square-lattice Ising model","level":3,"score":0.5640091300010681},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5442150235176086},{"id":"https://openalex.org/C121864883","wikidata":"https://www.wikidata.org/wiki/Q677916","display_name":"Statistical physics","level":1,"score":0.44819557666778564},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.381302148103714},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.28280800580978394}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/dac56929.2023.10247860","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dac56929.2023.10247860","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 60th ACM/IEEE Design Automation Conference (DAC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320332359","display_name":"Office of Science","ror":"https://ror.org/00mmn6b08"},{"id":"https://openalex.org/F4320337506","display_name":"Advanced Scientific Computing Research","ror":"https://ror.org/0012c7r22"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W2340502990","https://openalex.org/W3158894181","https://openalex.org/W3200418702","https://openalex.org/W4226210383","https://openalex.org/W4280625329","https://openalex.org/W4282023448","https://openalex.org/W4293023448","https://openalex.org/W4382318425"],"related_works":["https://openalex.org/W2798811671","https://openalex.org/W2047577961","https://openalex.org/W2050091229","https://openalex.org/W1973277669","https://openalex.org/W4288357902","https://openalex.org/W2944617580","https://openalex.org/W3099475054","https://openalex.org/W2109548439","https://openalex.org/W3209539671","https://openalex.org/W4255387243"],"abstract_inverted_index":{"Due":[0],"to":[1],"the":[2,27,31,37,44,48,52],"Ising":[3,8,32,41,49,55,62,89,99],"model\u2019s":[4],"strong":[5],"expressivity":[6],"and":[7,34,43,83,92],"machines\u2019":[9,56],"unique":[10],"computational":[11],"power,":[12],"it":[13],"is":[14],"highly":[15],"desired":[16],"if":[17],"Ising-based":[18],"learning":[19,30,91],"can":[20],"be":[21],"used":[22],"in":[23,29],"real-world":[24],"applications.":[25],"Unfortunately,":[26],"challenges":[28],"model":[33,50,90],"gaps":[35],"between":[36],"practical":[38],"accuracy":[39,46],"of":[40,47,54],"machines":[42],"theoretical":[45],"impede":[51],"realization":[53],"potential.":[57],"Hence,":[58],"we":[59],"propose":[60],"an":[61,93],"Machine":[63],"Learning":[64],"framework,":[65],"Ising-CF,":[66],"for":[67,86,97],"collaborative":[68],"filtering,":[69],"a":[70],"widely-used":[71],"recommendation":[72],"method.":[73],"Specifically,":[74],"Ising-CF":[75],"uses":[76],"Linear":[77],"Neural":[78],"Networks":[79],"with":[80,102],"Besag\u2019s":[81],"pseudo-likelihood":[82],"voltage":[84],"polarization":[85],"fast,":[87],"accurate":[88],"Ising-specific":[94],"logarithmic":[95],"quantization":[96],"ns-level":[98],"machine":[100],"inference":[101],"near-theoretical":[103],"accuracy,":[104],"7.3%":[105],"over":[106],"SOTA.":[107]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":13},{"year":2023,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
