{"id":"https://openalex.org/W2749687333","doi":"https://doi.org/10.1145/3109859.3109926","title":"Boosting Recommender Systems with Deep Learning","display_name":"Boosting Recommender Systems with Deep Learning","publication_year":2017,"publication_date":"2017-08-24","ids":{"openalex":"https://openalex.org/W2749687333","doi":"https://doi.org/10.1145/3109859.3109926","mag":"2749687333"},"language":"en","primary_location":{"id":"doi:10.1145/3109859.3109926","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3109859.3109926","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Eleventh ACM Conference on Recommender Systems","raw_type":"proceedings-article"},"type":"article","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/A5039057850","display_name":"Jo\u00e3o Gomes","orcid":"https://orcid.org/0000-0001-9308-0027"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Jo\u00e3o Gomes","raw_affiliation_strings":["Farfetch, Porto, Portugal"],"affiliations":[{"raw_affiliation_string":"Farfetch, Porto, Portugal","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5039057850"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.9018,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.92672445,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"344","last_page":"344"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9832000136375427,"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":0.9832000136375427,"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/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9684000015258789,"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/T11644","display_name":"Spam and Phishing Detection","score":0.9495999813079834,"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/boosting","display_name":"Boosting (machine learning)","score":0.7377182245254517},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7317032814025879},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.7267120480537415},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.6879168748855591},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5536301732063293},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.5118116736412048},{"id":"https://openalex.org/keywords/product","display_name":"Product (mathematics)","score":0.49685409665107727},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4117087721824646}],"concepts":[{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.7377182245254517},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7317032814025879},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.7267120480537415},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.6879168748855591},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5536301732063293},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.5118116736412048},{"id":"https://openalex.org/C90673727","wikidata":"https://www.wikidata.org/wiki/Q901718","display_name":"Product (mathematics)","level":2,"score":0.49685409665107727},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4117087721824646},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3109859.3109926","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3109859.3109926","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Eleventh ACM Conference on Recommender Systems","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","score":0.41999998688697815,"id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2125652721","https://openalex.org/W1540371141","https://openalex.org/W1549363203","https://openalex.org/W4231274751","https://openalex.org/W2154063878","https://openalex.org/W3082059448","https://openalex.org/W4313640622","https://openalex.org/W3125580266","https://openalex.org/W3092950680","https://openalex.org/W4380075502"],"abstract_inverted_index":{"Farfetch":[0],"is":[1,37,64],"a":[2,7,38,103],"global":[3],"fashion":[4],"marketplace":[5],"with":[6],"catalog":[8],"that,":[9,40],"at":[10],"any":[11],"time,":[12],"has":[13,71],"over":[14,19],"200":[15],"000":[16],"products":[17],"spanning":[18],"2000":[20],"brands":[21],"from":[22],"luxury":[23],"boutiques":[24],"all":[25],"around":[26],"the":[27,30,34,47,76],"world.":[28],"Finding":[29],"right":[31,35],"product":[32],"to":[33,52,75],"customer":[36],"challenge":[39],"we,":[41],"as":[42],"Data":[43],"Scientists":[44],"working":[45],"on":[46],"Recommendations":[48],"team,":[49],"are":[50],"trying":[51],"solve":[53],"using":[54],"state-of-the":[55],"art":[56],"algorithms":[57],"and":[58],"disruptive":[59],"technologies.":[60],"Deep":[61,99],"learning":[62],"(DL)":[63],"an":[65,91],"area":[66],"of":[67,93],"Machine":[68],"Learning":[69,100],"that":[70],"recently":[72],"been":[73],"brought":[74],"spotlight":[77],"for":[78],"its":[79],"breakthrough":[80],"results":[81],"across":[82],"several":[83],"domains.":[84],"In":[85],"this":[86],"talk,":[87],"we":[88],"will":[89],"provide":[90],"overview":[92],"some":[94],"ongoing":[95],"projects":[96],"in":[97],"which":[98],"methods":[101],"play":[102],"major":[104],"role.":[105]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}