{"id":"https://openalex.org/W2566662685","doi":"https://doi.org/10.1109/eusipco.2016.7760618","title":"Conjugate priors for Gaussian emission plsa recommender systems","display_name":"Conjugate priors for Gaussian emission plsa recommender systems","publication_year":2016,"publication_date":"2016-08-01","ids":{"openalex":"https://openalex.org/W2566662685","doi":"https://doi.org/10.1109/eusipco.2016.7760618","mag":"2566662685"},"language":"en","primary_location":{"id":"doi:10.1109/eusipco.2016.7760618","is_oa":false,"landing_page_url":"https://doi.org/10.1109/eusipco.2016.7760618","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 24th European Signal Processing Conference (EUSIPCO)","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/A5038100557","display_name":"Stefan Ingi Adalbj\u00f6rnsson","orcid":"https://orcid.org/0000-0003-0403-1544"},"institutions":[{"id":"https://openalex.org/I187531555","display_name":"Lund University","ror":"https://ror.org/012a77v79","country_code":"SE","type":"education","lineage":["https://openalex.org/I187531555"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Stefan Adalbjornsson","raw_affiliation_strings":["Centre for Mathematical Sciences, Lund University, Lund, SE, Sweden"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Centre for Mathematical Sciences, Lund University, Lund, SE, Sweden","institution_ids":["https://openalex.org/I187531555"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007565825","display_name":"Johan Sw\u00e4rd","orcid":null},"institutions":[{"id":"https://openalex.org/I187531555","display_name":"Lund University","ror":"https://ror.org/012a77v79","country_code":"SE","type":"education","lineage":["https://openalex.org/I187531555"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Johan Sward","raw_affiliation_strings":["Centre for Mathematical Sciences, Lund University, Lund, SE, Sweden"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Centre for Mathematical Sciences, Lund University, Lund, SE, Sweden","institution_ids":["https://openalex.org/I187531555"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036415414","display_name":"Magnus Orn Berg","orcid":null},"institutions":[{"id":"https://openalex.org/I187531555","display_name":"Lund University","ror":"https://ror.org/012a77v79","country_code":"SE","type":"education","lineage":["https://openalex.org/I187531555"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Magnus Orn Berg","raw_affiliation_strings":["Lunds Universitet, Lund, SE"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Lunds Universitet, Lund, SE","institution_ids":["https://openalex.org/I187531555"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109835497","display_name":"S.V. Andersen","orcid":null},"institutions":[{"id":"https://openalex.org/I187531555","display_name":"Lund University","ror":"https://ror.org/012a77v79","country_code":"SE","type":"education","lineage":["https://openalex.org/I187531555"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Soren Vang Andersen","raw_affiliation_strings":["Centre for Mathematical Sciences, Lund University, Lund, SE, Sweden"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Centre for Mathematical Sciences, Lund University, Lund, SE, Sweden","institution_ids":["https://openalex.org/I187531555"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5037213595","display_name":"Andreas Jakobsson","orcid":"https://orcid.org/0000-0002-2156-6973"},"institutions":[{"id":"https://openalex.org/I187531555","display_name":"Lund University","ror":"https://ror.org/012a77v79","country_code":"SE","type":"education","lineage":["https://openalex.org/I187531555"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Andreas Jakobsson","raw_affiliation_strings":["Centre for Mathematical Sciences, Lund University, Lund, SE, Sweden"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Centre for Mathematical Sciences, Lund University, Lund, SE, Sweden","institution_ids":["https://openalex.org/I187531555"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I187531555"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"3","issue":null,"first_page":"2096","last_page":"2100"},"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9667999744415283,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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":0.9667999744415283,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/movielens","display_name":"MovieLens","score":0.9116767644882202},{"id":"https://openalex.org/keywords/probabilistic-latent-semantic-analysis","display_name":"Probabilistic latent semantic analysis","score":0.8609684705734253},{"id":"https://openalex.org/keywords/conjugate-prior","display_name":"Conjugate prior","score":0.7835478782653809},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.7806835770606995},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7400760650634766},{"id":"https://openalex.org/keywords/prior-probability","display_name":"Prior probability","score":0.7210949659347534},{"id":"https://openalex.org/keywords/collaborative-filtering","display_name":"Collaborative filtering","score":0.7202969789505005},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.5812868475914001},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.46847692131996155},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4555131793022156},{"id":"https://openalex.org/keywords/latent-semantic-analysis","display_name":"Latent semantic analysis","score":0.45348402857780457},{"id":"https://openalex.org/keywords/conjugate-gradient-method","display_name":"Conjugate gradient method","score":0.4426470994949341},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4365026354789734},{"id":"https://openalex.org/keywords/extension","display_name":"Extension (predicate logic)","score":0.4184546172618866},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.41602373123168945},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3441465497016907},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.339627206325531},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2755546569824219}],"concepts":[{"id":"https://openalex.org/C2776156558","wikidata":"https://www.wikidata.org/wiki/Q4353746","display_name":"MovieLens","level":4,"score":0.9116767644882202},{"id":"https://openalex.org/C112933361","wikidata":"https://www.wikidata.org/wiki/Q2845258","display_name":"Probabilistic latent semantic analysis","level":2,"score":0.8609684705734253},{"id":"https://openalex.org/C26004113","wikidata":"https://www.wikidata.org/wiki/Q3711784","display_name":"Conjugate prior","level":4,"score":0.7835478782653809},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.7806835770606995},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7400760650634766},{"id":"https://openalex.org/C177769412","wikidata":"https://www.wikidata.org/wiki/Q278090","display_name":"Prior probability","level":3,"score":0.7210949659347534},{"id":"https://openalex.org/C21569690","wikidata":"https://www.wikidata.org/wiki/Q94702","display_name":"Collaborative filtering","level":3,"score":0.7202969789505005},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.5812868475914001},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.46847692131996155},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4555131793022156},{"id":"https://openalex.org/C170133592","wikidata":"https://www.wikidata.org/wiki/Q1806883","display_name":"Latent semantic analysis","level":2,"score":0.45348402857780457},{"id":"https://openalex.org/C81184566","wikidata":"https://www.wikidata.org/wiki/Q1191895","display_name":"Conjugate gradient method","level":2,"score":0.4426470994949341},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4365026354789734},{"id":"https://openalex.org/C2778029271","wikidata":"https://www.wikidata.org/wiki/Q5421931","display_name":"Extension (predicate logic)","level":2,"score":0.4184546172618866},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.41602373123168945},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3441465497016907},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.339627206325531},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2755546569824219},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/eusipco.2016.7760618","is_oa":false,"landing_page_url":"https://doi.org/10.1109/eusipco.2016.7760618","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 24th European Signal Processing Conference (EUSIPCO)","raw_type":"proceedings-article"},{"id":"pmh:oai:lup.lub.lu.se:39791dc4-7bc6-4cbe-99ab-83ade70ec89b","is_oa":false,"landing_page_url":"https://lup.lub.lu.se/record/39791dc4-7bc6-4cbe-99ab-83ade70ec89b","pdf_url":null,"source":{"id":"https://openalex.org/S4306400536","display_name":"Lund University Publications (Lund University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I187531555","host_organization_name":"Lund University","host_organization_lineage":["https://openalex.org/I187531555"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/conferencePaper"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1523985187","https://openalex.org/W1690919088","https://openalex.org/W1880262756","https://openalex.org/W1981003039","https://openalex.org/W1994389483","https://openalex.org/W2045656233","https://openalex.org/W2049455633","https://openalex.org/W2060195176","https://openalex.org/W2086206956","https://openalex.org/W2101432586","https://openalex.org/W2103029978","https://openalex.org/W2118173272","https://openalex.org/W2156592887","https://openalex.org/W2160784802","https://openalex.org/W2161718635","https://openalex.org/W2552472274","https://openalex.org/W2908054697","https://openalex.org/W4232383088","https://openalex.org/W6639619044","https://openalex.org/W6662203318","https://openalex.org/W6683350490","https://openalex.org/W6729122867"],"related_works":["https://openalex.org/W2588002110","https://openalex.org/W2111020819","https://openalex.org/W2382684626","https://openalex.org/W3196652523","https://openalex.org/W2775171027","https://openalex.org/W4389358025","https://openalex.org/W2267563544","https://openalex.org/W2303774322","https://openalex.org/W1690254038","https://openalex.org/W2890241594"],"abstract_inverted_index":{"Collaborative":[0],"filtering":[1],"for":[2,12],"recommender":[3],"systems":[4],"seeks":[5],"to":[6,56,96],"learn":[7],"and":[8,74],"predict":[9],"user":[10,92],"preferences":[11,93],"a":[13,41],"collection":[14],"of":[15,25,46,64,91],"items":[16,33],"by":[17],"identifying":[18],"similarities":[19],"between":[20],"users":[21],"on":[22],"the":[23,32,58,62,65,72,82,97],"basis":[24],"their":[26],"past":[27],"interest":[28],"or":[29],"interaction":[30],"with":[31],"in":[34,69],"question.":[35],"In":[36],"this":[37],"work,":[38],"we":[39],"present":[40],"conjugate":[42],"prior":[43],"regularized":[44,84],"extension":[45],"Hofmann's":[47],"Gaussian":[48],"emission":[49],"probabilistic":[50],"latent":[51,98],"semantic":[52,99],"analysis":[53,100],"model,":[54],"able":[55],"overcome":[57],"over-fitting":[59],"problem":[60],"restricting":[61],"performance":[63],"earlier":[66],"formulation.":[67],"Furthermore,":[68],"experiments":[70],"using":[71],"EachMovie":[73],"MovieLens":[75],"data":[76],"sets,":[77],"it":[78],"is":[79],"shown":[80],"that":[81],"proposed":[83],"model":[85,101],"achieves":[86],"significantly":[87],"improved":[88],"prediction":[89],"accuracy":[90],"as":[94],"compared":[95],"without":[102],"priors.":[103]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}