{"id":"https://openalex.org/W4392845931","doi":"https://doi.org/10.1145/3625007.3627486","title":"Utilizing Textual Reviews for Visualizing and Understanding User Preferences","display_name":"Utilizing Textual Reviews for Visualizing and Understanding User Preferences","publication_year":2023,"publication_date":"2023-11-06","ids":{"openalex":"https://openalex.org/W4392845931","doi":"https://doi.org/10.1145/3625007.3627486"},"language":"en","primary_location":{"id":"doi:10.1145/3625007.3627486","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3625007.3627486","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3625007.3627486","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the International Conference on Advances in Social Networks Analysis and Mining","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/10.1145/3625007.3627486","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5019744847","display_name":"Dang Duc Pham","orcid":"https://orcid.org/0000-0002-8917-5565"},"institutions":[{"id":"https://openalex.org/I10052268","display_name":"New Mexico State University","ror":"https://ror.org/00hpz7z43","country_code":"US","type":"education","lineage":["https://openalex.org/I10052268"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Dang Pham","raw_affiliation_strings":["New Mexico State University, Las Cruces, United States"],"raw_orcid":"https://orcid.org/0000-0002-8917-5565","affiliations":[{"raw_affiliation_string":"New Mexico State University, Las Cruces, United States","institution_ids":["https://openalex.org/I10052268"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103118393","display_name":"Tuan Le","orcid":"https://orcid.org/0000-0003-0667-9184"},"institutions":[{"id":"https://openalex.org/I10052268","display_name":"New Mexico State University","ror":"https://ror.org/00hpz7z43","country_code":"US","type":"education","lineage":["https://openalex.org/I10052268"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tuan Le","raw_affiliation_strings":["New Mexico State University, Las Cruces, United States"],"raw_orcid":"https://orcid.org/0000-0003-0667-9184","affiliations":[{"raw_affiliation_string":"New Mexico State University, Las Cruces, United States","institution_ids":["https://openalex.org/I10052268"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5019744847"],"corresponding_institution_ids":["https://openalex.org/I10052268"],"apc_list":null,"apc_paid":null,"fwci":1.3453,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.86719502,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"335","last_page":"339"},"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/T12720","display_name":"Multimedia Communication and Technology","score":0.9833999872207642,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9764999747276306,"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":0.7323939204216003},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.5015377998352051},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3981049954891205},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.3292781710624695},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.325466126203537}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7323939204216003},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.5015377998352051},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3981049954891205},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.3292781710624695},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.325466126203537}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3625007.3627486","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3625007.3627486","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3625007.3627486","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the International Conference on Advances in Social Networks Analysis and Mining","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3625007.3627486","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3625007.3627486","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3625007.3627486","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the International Conference on Advances in Social Networks Analysis and Mining","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.5400000214576721,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320333435","display_name":"Virginia Agricultural Experiment Station, Virginia Polytechnic Institute and State University","ror":null}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4392845931.pdf"},"referenced_works_count":26,"referenced_works":["https://openalex.org/W76930416","https://openalex.org/W1983719983","https://openalex.org/W2054141820","https://openalex.org/W2119523409","https://openalex.org/W2187089797","https://openalex.org/W2314747661","https://openalex.org/W2575006718","https://openalex.org/W2591921914","https://openalex.org/W2605350416","https://openalex.org/W2788376297","https://openalex.org/W2899626049","https://openalex.org/W2967581940","https://openalex.org/W3044311607","https://openalex.org/W3092923617","https://openalex.org/W3100324210","https://openalex.org/W3100921056","https://openalex.org/W3151878114","https://openalex.org/W4225109328","https://openalex.org/W6639619044","https://openalex.org/W6640963894","https://openalex.org/W6680012447","https://openalex.org/W6680451568","https://openalex.org/W6796371211","https://openalex.org/W6803762185","https://openalex.org/W6910442616","https://openalex.org/W6929269233"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W2382290278","https://openalex.org/W2478288626","https://openalex.org/W4391913857","https://openalex.org/W2350741829","https://openalex.org/W2530322880"],"abstract_inverted_index":{"Latent":[0],"factor":[1,23],"models":[2],"are":[3,15,34],"widely":[4],"used":[5,35,60],"in":[6,19,95,113,135,152],"recommender":[7],"systems.":[8],"In":[9,79],"these":[10],"models,":[11],"users":[12,64,92,132],"and":[13,31,68,76,93,110,133,154],"items":[14,67,94,134],"represented":[16],"as":[17],"vectors":[18,30,33,90],"a":[20,84,96],"joint":[21],"latent":[22,72,89],"space.":[24,138],"The":[25],"inner":[26],"products":[27],"of":[28,74,91,148],"user":[29,50,75],"item":[32,77],"to":[36,51,61,69],"model":[37,86,105,123,151],"the":[38,49,53,66,71,114,120,124,129,136,146],"user-item":[39,125],"interactions":[40,126],"(e.g.,":[41],"ratings).":[42],"A":[43],"review":[44,108],"is":[45],"often":[46],"posted":[47],"by":[48,127],"explain":[52],"given":[54],"rating.":[55],"Therefore,":[56],"reviews":[57],"can":[58],"be":[59],"understand":[62],"how":[63],"rate":[65],"interpret":[70],"dimensions":[73],"vectors.":[78],"this":[80],"paper,":[81],"we":[82],"propose":[83],"probabilistic":[85],"that":[87],"learns":[88],"two-":[97],"or":[98],"three-dimensional":[99],"space":[100,117],"for":[101,118],"visualization.":[102],"Our":[103],"proposed":[104,150],"also":[106],"extracts":[107],"topics":[109],"visualizes":[111],"them":[112],"same":[115],"visualization":[116,137,155],"interpreting":[119],"ratings.":[121],"We":[122],"using":[128,141],"distances":[130],"between":[131],"Extensive":[139],"experiments":[140],"several":[142],"real-world":[143],"datasets":[144],"demonstrate":[145],"effectiveness":[147],"our":[149],"recommendation":[153],"tasks.":[156]},"counts_by_year":[{"year":2025,"cited_by_count":3}],"updated_date":"2026-01-25T23:04:38.658462","created_date":"2025-10-10T00:00:00"}
