{"id":"https://openalex.org/W3126508866","doi":"https://doi.org/10.1007/978-3-030-86383-8_11","title":"Deep Variational Autoencoder with\u00a0Shallow Parallel Path for Top-N Recommendation (VASP)","display_name":"Deep Variational Autoencoder with\u00a0Shallow Parallel Path for Top-N Recommendation (VASP)","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W3126508866","doi":"https://doi.org/10.1007/978-3-030-86383-8_11","mag":"3126508866"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-030-86383-8_11","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-030-86383-8_11","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"type":"conference-paper","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2102.05774","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5022460264","display_name":"Vojt\u011bch Van\u010dura","orcid":"https://orcid.org/0000-0003-2638-9969"},"institutions":[{"id":"https://openalex.org/I44504214","display_name":"Czech Technical University in Prague","ror":"https://ror.org/03kqpb082","country_code":"CZ","type":"education","lineage":["https://openalex.org/I44504214"]}],"countries":["CZ"],"is_corresponding":false,"raw_author_name":"Vojt\u011bch Van\u010dura","raw_affiliation_strings":["Czech Technical Univ. in Prague"],"raw_orcid":"https://orcid.org/0000-0003-2638-9969","affiliations":[{"raw_affiliation_string":"Czech Technical Univ. in Prague","institution_ids":["https://openalex.org/I44504214"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5035026045","display_name":"Pavel Kord\u00edk","orcid":"https://orcid.org/0000-0003-1433-0089"},"institutions":[{"id":"https://openalex.org/I44504214","display_name":"Czech Technical University in Prague","ror":"https://ror.org/03kqpb082","country_code":"CZ","type":"education","lineage":["https://openalex.org/I44504214"]}],"countries":["CZ"],"is_corresponding":false,"raw_author_name":"Pavel Kord\u00edk","raw_affiliation_strings":["Faculty of Information Technology, Czech Technical University in Prague, Prague, Czech Republic","Czech Technical Univ. in Prague"],"raw_orcid":"https://orcid.org/0000-0003-1433-0089","affiliations":[{"raw_affiliation_string":"Faculty of Information Technology, Czech Technical University in Prague, Prague, Czech Republic","institution_ids":["https://openalex.org/I44504214"]},{"raw_affiliation_string":"Czech Technical Univ. in Prague","institution_ids":["https://openalex.org/I44504214"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I44504214"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":0.0955,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.2878633,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"138","last_page":"149"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9987999796867371,"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"}},"topics":[{"id":"https://openalex.org/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9987999796867371,"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/T13702","display_name":"Machine Learning in Healthcare","score":0.9966999888420105,"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/T10203","display_name":"Recommender Systems and Techniques","score":0.9961000084877014,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/autoencoder","display_name":"Autoencoder","score":0.9310786724090576},{"id":"https://openalex.org/keywords/overfitting","display_name":"Overfitting","score":0.7994979619979858},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7328854203224182},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6494709253311157},{"id":"https://openalex.org/keywords/bottleneck","display_name":"Bottleneck","score":0.6448214054107666},{"id":"https://openalex.org/keywords/movielens","display_name":"MovieLens","score":0.6005436778068542},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5858058929443359},{"id":"https://openalex.org/keywords/deep-neural-networks","display_name":"Deep neural networks","score":0.5407689809799194},{"id":"https://openalex.org/keywords/path","display_name":"Path (computing)","score":0.5126416087150574},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.47469204664230347},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.43768760561943054},{"id":"https://openalex.org/keywords/identity","display_name":"Identity (music)","score":0.4237705171108246},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.40160897374153137},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3664989471435547},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3320575952529907},{"id":"https://openalex.org/keywords/collaborative-filtering","display_name":"Collaborative filtering","score":0.3017832636833191},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09374022483825684}],"concepts":[{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.9310786724090576},{"id":"https://openalex.org/C22019652","wikidata":"https://www.wikidata.org/wiki/Q331309","display_name":"Overfitting","level":3,"score":0.7994979619979858},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7328854203224182},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6494709253311157},{"id":"https://openalex.org/C2780513914","wikidata":"https://www.wikidata.org/wiki/Q18210350","display_name":"Bottleneck","level":2,"score":0.6448214054107666},{"id":"https://openalex.org/C2776156558","wikidata":"https://www.wikidata.org/wiki/Q4353746","display_name":"MovieLens","level":4,"score":0.6005436778068542},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5858058929443359},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.5407689809799194},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.5126416087150574},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.47469204664230347},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.43768760561943054},{"id":"https://openalex.org/C2778355321","wikidata":"https://www.wikidata.org/wiki/Q17079427","display_name":"Identity (music)","level":2,"score":0.4237705171108246},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.40160897374153137},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3664989471435547},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3320575952529907},{"id":"https://openalex.org/C21569690","wikidata":"https://www.wikidata.org/wiki/Q94702","display_name":"Collaborative filtering","level":3,"score":0.3017832636833191},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09374022483825684},{"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/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.0},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","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":4,"locations":[{"id":"doi:10.1007/978-3-030-86383-8_11","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-030-86383-8_11","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},{"id":"pmh:oai:arXiv.org:2102.05774","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2102.05774","pdf_url":"https://arxiv.org/pdf/2102.05774","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"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":"text"},{"id":"mag:3126508866","is_oa":true,"landing_page_url":"https://arxiv.org/pdf/2102.05774.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},{"id":"doi:10.48550/arxiv.2102.05774","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2102.05774","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2102.05774","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2102.05774","pdf_url":"https://arxiv.org/pdf/2102.05774","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"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":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W1478687540","https://openalex.org/W1720514416","https://openalex.org/W1959608418","https://openalex.org/W2025768430","https://openalex.org/W2054141820","https://openalex.org/W2128629010","https://openalex.org/W2150886314","https://openalex.org/W2194775991","https://openalex.org/W2219888463","https://openalex.org/W2341535507","https://openalex.org/W2558661413","https://openalex.org/W2582503872","https://openalex.org/W2884561390","https://openalex.org/W2912745432","https://openalex.org/W2963085847","https://openalex.org/W2963446712","https://openalex.org/W2973193146","https://openalex.org/W2997617192","https://openalex.org/W3094457149","https://openalex.org/W3098638686","https://openalex.org/W3106082234","https://openalex.org/W3122507327","https://openalex.org/W3199995296","https://openalex.org/W4288083766","https://openalex.org/W4288110919","https://openalex.org/W6659892498"],"related_works":["https://openalex.org/W3204372361","https://openalex.org/W2787773448","https://openalex.org/W2743992351","https://openalex.org/W3185421118","https://openalex.org/W3011486209","https://openalex.org/W3106369320","https://openalex.org/W3017093278","https://openalex.org/W193255932","https://openalex.org/W2912759868","https://openalex.org/W2897230420","https://openalex.org/W3175397654","https://openalex.org/W2615395371","https://openalex.org/W3101709902","https://openalex.org/W2962794560","https://openalex.org/W3117208668","https://openalex.org/W3011174949","https://openalex.org/W3135749571","https://openalex.org/W2765741717","https://openalex.org/W2962817490","https://openalex.org/W2605177561"],"abstract_inverted_index":null,"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2022-09-19T00:00:00"}
