{"id":"https://openalex.org/W2749313621","doi":"https://doi.org/10.1145/3109859.3109897","title":"Practical Lessons from Developing a Large-Scale Recommender System at Zalando","display_name":"Practical Lessons from Developing a Large-Scale Recommender System at Zalando","publication_year":2017,"publication_date":"2017-08-24","ids":{"openalex":"https://openalex.org/W2749313621","doi":"https://doi.org/10.1145/3109859.3109897","mag":"2749313621"},"language":"en","primary_location":{"id":"doi:10.1145/3109859.3109897","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3109859.3109897","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/A5059172952","display_name":"Antonino Freno","orcid":"https://orcid.org/0009-0001-1086-7148"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Antonino Freno","raw_affiliation_strings":["Zalando SE, Berlin, Germany"],"affiliations":[{"raw_affiliation_string":"Zalando SE, Berlin, Germany","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5059172952"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":5.3199,"has_fulltext":false,"cited_by_count":23,"citation_normalized_percentile":{"value":0.9604729,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"251","last_page":"259"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9998000264167786,"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":0.9998000264167786,"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/T12101","display_name":"Advanced Bandit Algorithms Research","score":0.9957000017166138,"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"}},{"id":"https://openalex.org/T11439","display_name":"Video Analysis and Summarization","score":0.9950000047683716,"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/recommender-system","display_name":"Recommender system","score":0.8676843047142029},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8021073341369629},{"id":"https://openalex.org/keywords/reuse","display_name":"Reuse","score":0.7281737327575684},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.6643667817115784},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.6466779112815857},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3898336887359619},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.33849942684173584},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.23352676630020142},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09015381336212158}],"concepts":[{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.8676843047142029},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8021073341369629},{"id":"https://openalex.org/C206588197","wikidata":"https://www.wikidata.org/wiki/Q846574","display_name":"Reuse","level":2,"score":0.7281737327575684},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.6643667817115784},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.6466779112815857},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3898336887359619},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.33849942684173584},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.23352676630020142},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09015381336212158},{"id":"https://openalex.org/C548081761","wikidata":"https://www.wikidata.org/wiki/Q180388","display_name":"Waste management","level":1,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","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},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3109859.3109897","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3109859.3109897","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":[{"score":0.5799999833106995,"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W21006490","https://openalex.org/W1577231857","https://openalex.org/W1992000819","https://openalex.org/W2047221353","https://openalex.org/W2055945388","https://openalex.org/W2074694452","https://openalex.org/W2108862644","https://openalex.org/W2110228583","https://openalex.org/W2122825543","https://openalex.org/W2128877075","https://openalex.org/W2142537246","https://openalex.org/W2148212498","https://openalex.org/W2149427297","https://openalex.org/W2151825876","https://openalex.org/W2164301055","https://openalex.org/W2210543184","https://openalex.org/W2512971201","https://openalex.org/W2607074821","https://openalex.org/W2616657226","https://openalex.org/W2883070021","https://openalex.org/W2884843966","https://openalex.org/W2950133940","https://openalex.org/W2950190315","https://openalex.org/W2988119488","https://openalex.org/W3007702476","https://openalex.org/W3012264151","https://openalex.org/W3017285694","https://openalex.org/W4251504464","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W4390273403","https://openalex.org/W4386781444","https://openalex.org/W2150182025","https://openalex.org/W3092950680","https://openalex.org/W3197542405","https://openalex.org/W2056712470","https://openalex.org/W3125580266","https://openalex.org/W4288390103","https://openalex.org/W4317039510","https://openalex.org/W4238861846"],"abstract_inverted_index":{"Developing":[0],"a":[1,13,20,40],"real-world":[2],"recommender":[3],"system,":[4],"i.e.":[5],"for":[6,39],"use":[7,42,58],"in":[8],"large-scale":[9],"online":[10],"retail,":[11],"poses":[12],"number":[14],"of":[15,23,27,63,67],"different":[16],"challenges.":[17],"Interestingly,":[18],"only":[19],"small":[21],"part":[22],"these":[24],"challenges":[25],"are":[26],"algorithmic":[28],"nature,":[29],"such":[30,53],"as":[31],"how":[32],"to":[33,56],"select":[34],"the":[35],"most":[36,45],"accurate":[37],"model":[38],"given":[41],"case.":[43],"Instead,":[44],"technical":[46],"problems":[47],"usually":[48],"arise":[49],"from":[50],"operational":[51],"constraints,":[52],"as:":[54],"adaptation":[55],"novel":[57],"cases;":[59],"cost":[60],"and":[61,71],"complexity":[62],"system":[64],"maintenance;":[65],"capability":[66],"reusing":[68],"pre-existing":[69],"signal":[70],"integrating":[72],"heterogeneous":[73],"data":[74],"sources.":[75]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":7}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
