{"id":"https://openalex.org/W2988143909","doi":"https://doi.org/10.1145/3357384.3357952","title":"Social-Aware VR Configuration Recommendation via Multi-Feedback Coupled Tensor Factorization","display_name":"Social-Aware VR Configuration Recommendation via Multi-Feedback Coupled Tensor Factorization","publication_year":2019,"publication_date":"2019-11-03","ids":{"openalex":"https://openalex.org/W2988143909","doi":"https://doi.org/10.1145/3357384.3357952","mag":"2988143909"},"language":"en","primary_location":{"id":"doi:10.1145/3357384.3357952","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3357384.3357952","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3357384.3357952","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 28th ACM International Conference on Information and Knowledge Management","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/10.1145/3357384.3357952","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5044420168","display_name":"Hsu-Chao Lai","orcid":"https://orcid.org/0009-0002-9690-8461"},"institutions":[{"id":"https://openalex.org/I84653119","display_name":"Academia Sinica","ror":"https://ror.org/05bxb3784","country_code":"TW","type":"facility","lineage":["https://openalex.org/I84653119"]},{"id":"https://openalex.org/I148366613","display_name":"National Yang Ming Chiao Tung University","ror":"https://ror.org/00se2k293","country_code":"TW","type":"education","lineage":["https://openalex.org/I148366613"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Hsu-Chao Lai","raw_affiliation_strings":["National Chiao Tung University &amp; Academia Sinica, Hsinchu, Taiwan Roc"],"affiliations":[{"raw_affiliation_string":"National Chiao Tung University &amp; Academia Sinica, Hsinchu, Taiwan Roc","institution_ids":["https://openalex.org/I148366613","https://openalex.org/I84653119"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040050806","display_name":"Hong-Han Shuai","orcid":"https://orcid.org/0000-0003-2216-077X"},"institutions":[{"id":"https://openalex.org/I148366613","display_name":"National Yang Ming Chiao Tung University","ror":"https://ror.org/00se2k293","country_code":"TW","type":"education","lineage":["https://openalex.org/I148366613"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Hong-Han Shuai","raw_affiliation_strings":["National Chiao Tung University, Hsinchu, Taiwan Roc"],"affiliations":[{"raw_affiliation_string":"National Chiao Tung University, Hsinchu, Taiwan Roc","institution_ids":["https://openalex.org/I148366613"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029978968","display_name":"De-Nian Yang","orcid":"https://orcid.org/0000-0002-3765-9293"},"institutions":[{"id":"https://openalex.org/I84653119","display_name":"Academia Sinica","ror":"https://ror.org/05bxb3784","country_code":"TW","type":"facility","lineage":["https://openalex.org/I84653119"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"De-Nian Yang","raw_affiliation_strings":["Academia Sinica, Taipei, Taiwan Roc"],"affiliations":[{"raw_affiliation_string":"Academia Sinica, Taipei, Taiwan Roc","institution_ids":["https://openalex.org/I84653119"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059752721","display_name":"Jiun\u2010Long Huang","orcid":null},"institutions":[{"id":"https://openalex.org/I148366613","display_name":"National Yang Ming Chiao Tung University","ror":"https://ror.org/00se2k293","country_code":"TW","type":"education","lineage":["https://openalex.org/I148366613"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Jiun-Long Huang","raw_affiliation_strings":["National Chiao Tung University, Hsinchu, Taiwan Roc"],"affiliations":[{"raw_affiliation_string":"National Chiao Tung University, Hsinchu, Taiwan Roc","institution_ids":["https://openalex.org/I148366613"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091716232","display_name":"Wang-Chien Lee","orcid":"https://orcid.org/0000-0002-8949-489X"},"institutions":[{"id":"https://openalex.org/I130769515","display_name":"Pennsylvania State University","ror":"https://ror.org/04p491231","country_code":"US","type":"education","lineage":["https://openalex.org/I130769515"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Wang-Chien Lee","raw_affiliation_strings":["Pennsylvania State University, State College, PA, USA"],"affiliations":[{"raw_affiliation_string":"Pennsylvania State University, State College, PA, USA","institution_ids":["https://openalex.org/I130769515"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5036357902","display_name":"Philip S. Yu","orcid":"https://orcid.org/0000-0002-3491-5968"},"institutions":[{"id":"https://openalex.org/I39422238","display_name":"University of Illinois Chicago","ror":"https://ror.org/02mpq6x41","country_code":"US","type":"education","lineage":["https://openalex.org/I39422238"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Philip S. Yu","raw_affiliation_strings":["University of Illinois at Chicago &amp; Fudan University, Chicago, IL, USA"],"affiliations":[{"raw_affiliation_string":"University of Illinois at Chicago &amp; Fudan University, Chicago, IL, USA","institution_ids":["https://openalex.org/I39422238"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5044420168"],"corresponding_institution_ids":["https://openalex.org/I148366613","https://openalex.org/I84653119"],"apc_list":null,"apc_paid":null,"fwci":1.4064,"has_fulltext":true,"cited_by_count":7,"citation_normalized_percentile":{"value":0.87145391,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1773","last_page":"1782"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9912999868392944,"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":0.9912999868392944,"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/T12303","display_name":"Tensor decomposition and applications","score":0.9506000280380249,"subfield":{"id":"https://openalex.org/subfields/2605","display_name":"Computational Mathematics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9375,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.794405996799469},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.6889129281044006},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.6788954138755798},{"id":"https://openalex.org/keywords/virtual-reality","display_name":"Virtual reality","score":0.6340767741203308},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.6330459117889404},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.6216117739677429},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.6036457419395447},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.580765426158905},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.580562949180603},{"id":"https://openalex.org/keywords/tensor","display_name":"Tensor (intrinsic definition)","score":0.5234983563423157},{"id":"https://openalex.org/keywords/collaborative-filtering","display_name":"Collaborative filtering","score":0.429133802652359},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3858200013637543},{"id":"https://openalex.org/keywords/multimedia","display_name":"Multimedia","score":0.3407807946205139},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.23813366889953613}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.794405996799469},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.6889129281044006},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.6788954138755798},{"id":"https://openalex.org/C194969405","wikidata":"https://www.wikidata.org/wiki/Q170519","display_name":"Virtual reality","level":2,"score":0.6340767741203308},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.6330459117889404},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.6216117739677429},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.6036457419395447},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.580765426158905},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.580562949180603},{"id":"https://openalex.org/C155281189","wikidata":"https://www.wikidata.org/wiki/Q3518150","display_name":"Tensor (intrinsic definition)","level":2,"score":0.5234983563423157},{"id":"https://openalex.org/C21569690","wikidata":"https://www.wikidata.org/wiki/Q94702","display_name":"Collaborative filtering","level":3,"score":0.429133802652359},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3858200013637543},{"id":"https://openalex.org/C49774154","wikidata":"https://www.wikidata.org/wiki/Q131765","display_name":"Multimedia","level":1,"score":0.3407807946205139},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.23813366889953613},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3357384.3357952","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3357384.3357952","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3357384.3357952","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 28th ACM International Conference on Information and Knowledge Management","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3357384.3357952","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3357384.3357952","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3357384.3357952","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 28th ACM International Conference on Information and Knowledge Management","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.7799999713897705,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[{"id":"https://openalex.org/G1481410601","display_name":null,"funder_award_id":"III-1526499","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G2142201510","display_name":"III: Small: Exploiting the Massive User Generated Utterances for Intent Mining under Scarce Annotations","funder_award_id":"1909323","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G3118254216","display_name":"III: Medium: Collaborative Research: An Extensible Heterogeneous Network Embedding Framework with Application Specific Adaptation","funder_award_id":"1763325","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G4506449814","display_name":null,"funder_award_id":"III-1526499, III-1763325, III-1909323, SaTC-1930941, and CNS-1626432","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G5808754275","display_name":null,"funder_award_id":"III-1763325, III-1909323, SaTC-1930941","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G7398055925","display_name":null,"funder_award_id":"CNS-1626432","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G7456739360","display_name":null,"funder_award_id":"107-2218-E-002-010, 108-2221-E-009-088, 108-2218-E-009-050, and 106-2221-E-009-152-MY3","funder_id":"https://openalex.org/F4320322795","funder_display_name":"Ministry of Science and Technology, Taiwan"},{"id":"https://openalex.org/G7633400475","display_name":null,"funder_award_id":"III-1763325","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G779482199","display_name":"III: Small: Fusion of Heterogeneous Networks for Synergistic Knowledge Discovery","funder_award_id":"1526499","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G7817793019","display_name":null,"funder_award_id":"III-1909323","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G883900857","display_name":null,"funder_award_id":"SaTC-1930941","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G979281235","display_name":"SaTC: CORE: Small: Collaborative: Learning Dynamic and Robust Defenses Against Co-Adaptive Spammers","funder_award_id":"1930941","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320322795","display_name":"Ministry of Science and Technology, Taiwan","ror":"https://ror.org/02kv4zf79"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2988143909.pdf","grobid_xml":"https://content.openalex.org/works/W2988143909.grobid-xml"},"referenced_works_count":32,"referenced_works":["https://openalex.org/W43016992","https://openalex.org/W153313452","https://openalex.org/W1594948760","https://openalex.org/W1920022804","https://openalex.org/W1989131435","https://openalex.org/W1997590279","https://openalex.org/W2052733588","https://openalex.org/W2054855446","https://openalex.org/W2059512502","https://openalex.org/W2073926352","https://openalex.org/W2139583468","https://openalex.org/W2140310134","https://openalex.org/W2160217588","https://openalex.org/W2187089797","https://openalex.org/W2283968330","https://openalex.org/W2339562681","https://openalex.org/W2561270043","https://openalex.org/W2605350416","https://openalex.org/W2753247224","https://openalex.org/W2774847083","https://openalex.org/W2785215785","https://openalex.org/W2788857209","https://openalex.org/W2795104036","https://openalex.org/W2798538558","https://openalex.org/W2808446163","https://openalex.org/W2808813201","https://openalex.org/W2810271041","https://openalex.org/W2893359107","https://openalex.org/W2950133940","https://openalex.org/W2951217911","https://openalex.org/W2952954483","https://openalex.org/W2962679240"],"related_works":["https://openalex.org/W2772628444","https://openalex.org/W2735929803","https://openalex.org/W4220714703","https://openalex.org/W1484355083","https://openalex.org/W3008845055","https://openalex.org/W2098758514","https://openalex.org/W4376854386","https://openalex.org/W2202724490","https://openalex.org/W2508671622","https://openalex.org/W2556532874"],"abstract_inverted_index":{"Recent":[0],"technological":[1],"advent":[2],"in":[3,143,148,152],"virtual":[4],"reality":[5],"(VR)":[6],"has":[7],"attracted":[8],"a":[9,23,74,80,104],"lot":[10],"of":[11,33,43,76,114,154],"attention":[12],"to":[13,45,60,72,110],"the":[14,31,66,86,112,130,149],"VR":[15,34,38,81],"shopping,":[16,36],"which":[17],"thus":[18],"far":[19],"is":[20],"designed":[21],"for":[22,79],"single":[24],"user.":[25,83],"In":[26],"this":[27],"paper,":[28],"we":[29],"envision":[30],"scenario":[32],"group":[35,58,137],"where":[37],"supports:":[39],"1)":[40],"flexible":[41],"display":[42],"items":[44,78],"address":[46],"diverse":[47],"personal":[48,56],"preferences,":[49],"and":[50,57,101,120,136,146,157],"2)":[51],"convenient":[52],"view":[53],"switching":[54],"between":[55],"views":[59],"foster":[61],"social":[62],"interactions.":[63],"We":[64,84],"formulate":[65],"Multiview-Enabled":[67,87],"Configuration":[68,88],"Recommendation":[69],"(MECR)":[70],"problem":[71],"rank":[73],"set":[75],"displayed":[77],"shopping":[82],"design":[85],"Ranking":[89],"System":[90],"(MEIRS)":[91],"that":[92,129],"first":[93],"extracts":[94],"discriminative":[95],"features":[96],"based":[97],"on":[98],"Marketing":[99],"theories":[100],"then":[102],"introduces":[103],"new":[105],"coupled":[106],"tensor":[107],"factorization":[108],"model":[109],"learn":[111],"representation":[113],"users,":[115],"Multi-View":[116],"Display":[117],"(MVD)":[118],"configurations,":[119],"multiple":[121],"feedback":[122],"with":[123],"content":[124],"features.":[125],"Experimental":[126],"results":[127],"manifest":[128],"proposed":[131],"approach":[132],"outperforms":[133],"personalized":[134],"recommendations":[135,138],"by":[139],"at":[140],"least":[141],"30.8%":[142],"large-scale":[144],"datasets":[145],"63.3%":[147],"user":[150],"study":[151],"terms":[153],"hit":[155],"ratio":[156],"mean":[158],"average":[159],"precision.":[160]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1}],"updated_date":"2026-03-18T14:38:29.013473","created_date":"2025-10-10T00:00:00"}
