{"id":"https://openalex.org/W2518038816","doi":"https://doi.org/10.1145/2959100.2959166","title":"Optimizing Similar Item Recommendations in a Semi-structured Marketplace to Maximize Conversion","display_name":"Optimizing Similar Item Recommendations in a Semi-structured Marketplace to Maximize Conversion","publication_year":2016,"publication_date":"2016-09-01","ids":{"openalex":"https://openalex.org/W2518038816","doi":"https://doi.org/10.1145/2959100.2959166","mag":"2518038816"},"language":"en","primary_location":{"id":"doi:10.1145/2959100.2959166","is_oa":true,"landing_page_url":"https://doi.org/10.1145/2959100.2959166","pdf_url":"http://dl.acm.org/ft_gateway.cfm?id=2959166&type=pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 10th ACM Conference on Recommender Systems","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"http://dl.acm.org/ft_gateway.cfm?id=2959166&type=pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5061663339","display_name":"Yuri M. Brovman","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Yuri M. Brovman","raw_affiliation_strings":["eBay Inc., New York City, USA"],"affiliations":[{"raw_affiliation_string":"eBay Inc., New York City, USA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086888117","display_name":"Marie Jacob","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Marie Jacob","raw_affiliation_strings":["eBay Inc., New York City, USA"],"affiliations":[{"raw_affiliation_string":"eBay Inc., New York City, USA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103711082","display_name":"Natraj Srinivasan","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Natraj Srinivasan","raw_affiliation_strings":["eBay Inc., New York City, USA"],"affiliations":[{"raw_affiliation_string":"eBay Inc., New York City, USA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050343613","display_name":"Stephen Neola","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Stephen Neola","raw_affiliation_strings":["eBay Inc., New York City, USA"],"affiliations":[{"raw_affiliation_string":"eBay Inc., New York City, USA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053868885","display_name":"Daniel Galron","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Daniel Galron","raw_affiliation_strings":["eBay Inc., New York City, USA"],"affiliations":[{"raw_affiliation_string":"eBay Inc., New York City, USA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048273247","display_name":"R. Snyder","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ryan Snyder","raw_affiliation_strings":["eBay Inc., New York City, USA"],"affiliations":[{"raw_affiliation_string":"eBay Inc., New York City, USA","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100645572","display_name":"Paul Wang","orcid":"https://orcid.org/0000-0001-8219-7051"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Paul Wang","raw_affiliation_strings":["eBay Inc., New York City, USA"],"affiliations":[{"raw_affiliation_string":"eBay Inc., New York City, USA","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5061663339"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.3174,"has_fulltext":true,"cited_by_count":30,"citation_normalized_percentile":{"value":0.93331602,"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":"199","last_page":"202"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9994999766349792,"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":0.9994999766349792,"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/T11161","display_name":"Consumer Market Behavior and Pricing","score":0.9957000017166138,"subfield":{"id":"https://openalex.org/subfields/1406","display_name":"Marketing"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9955999851226807,"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/computer-science","display_name":"Computer science","score":0.7801263928413391},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.6269178986549377},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.5893586277961731},{"id":"https://openalex.org/keywords/lift","display_name":"Lift (data mining)","score":0.5404982566833496},{"id":"https://openalex.org/keywords/revenue","display_name":"Revenue","score":0.4976661503314972},{"id":"https://openalex.org/keywords/feature-engineering","display_name":"Feature engineering","score":0.4657972753047943},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.4442240595817566},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4305204749107361},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.41453105211257935},{"id":"https://openalex.org/keywords/joins","display_name":"Joins","score":0.41335389018058777},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.36648279428482056},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.18801745772361755}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7801263928413391},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.6269178986549377},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.5893586277961731},{"id":"https://openalex.org/C139002025","wikidata":"https://www.wikidata.org/wiki/Q3001212","display_name":"Lift (data mining)","level":2,"score":0.5404982566833496},{"id":"https://openalex.org/C195487862","wikidata":"https://www.wikidata.org/wiki/Q850210","display_name":"Revenue","level":2,"score":0.4976661503314972},{"id":"https://openalex.org/C2778827112","wikidata":"https://www.wikidata.org/wiki/Q22245680","display_name":"Feature engineering","level":3,"score":0.4657972753047943},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.4442240595817566},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4305204749107361},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.41453105211257935},{"id":"https://openalex.org/C2778692605","wikidata":"https://www.wikidata.org/wiki/Q4041866","display_name":"Joins","level":2,"score":0.41335389018058777},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.36648279428482056},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.18801745772361755},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C121955636","wikidata":"https://www.wikidata.org/wiki/Q4116214","display_name":"Accounting","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"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:10.1145/2959100.2959166","is_oa":true,"landing_page_url":"https://doi.org/10.1145/2959100.2959166","pdf_url":"http://dl.acm.org/ft_gateway.cfm?id=2959166&type=pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 10th ACM Conference on Recommender Systems","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/2959100.2959166","is_oa":true,"landing_page_url":"https://doi.org/10.1145/2959100.2959166","pdf_url":"http://dl.acm.org/ft_gateway.cfm?id=2959166&type=pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 10th ACM Conference on Recommender Systems","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.4300000071525574,"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2518038816.pdf","grobid_xml":"https://content.openalex.org/works/W2518038816.grobid-xml"},"referenced_works_count":11,"referenced_works":["https://openalex.org/W1966553486","https://openalex.org/W1968598835","https://openalex.org/W1973435495","https://openalex.org/W1974318090","https://openalex.org/W1992000819","https://openalex.org/W2020369158","https://openalex.org/W2042281163","https://openalex.org/W2120391124","https://openalex.org/W2149427297","https://openalex.org/W2159094788","https://openalex.org/W3101736698"],"related_works":["https://openalex.org/W2088925915","https://openalex.org/W2382891957","https://openalex.org/W2393491644","https://openalex.org/W2067184662","https://openalex.org/W3047837489","https://openalex.org/W2622139626","https://openalex.org/W2133660117","https://openalex.org/W2104496206","https://openalex.org/W3013303285","https://openalex.org/W2385836742"],"abstract_inverted_index":{"This":[0],"paper":[1],"tackles":[2],"the":[3,72],"problem":[4,74,79],"of":[5,17,49,89],"recommendations":[6,42],"in":[7,43,104],"eBay's":[8,12],"large":[9],"semi-structured":[10],"marketplace.":[11],"variable":[13],"inventory":[14],"and":[15,93,110],"lack":[16],"structured":[18],"information":[19],"about":[20],"listings":[21],"makes":[22],"traditional":[23],"collaborative":[24],"filtering":[25],"algorithms":[26],"difficult":[27],"to":[28,33,38,70,75,100],"use.":[29],"We":[30,86],"discuss":[31],"how":[32],"overcome":[34],"these":[35],"data":[36],"limitations":[37],"produce":[39],"high":[40],"quality":[41],"real":[44],"time":[45],"with":[46],"a":[47,50,57,76,90,102],"combination":[48],"customized":[51],"scalable":[52],"architecture":[53],"as":[54,56],"well":[55],"widely":[58],"applicable":[59],"machine":[60],"learned":[61],"ranking":[62,66,73],"model.":[63],"A":[64],"pointwise":[65],"approach":[67],"is":[68],"utilized":[69],"reduce":[71],"binary":[77],"classification":[78],"optimized":[80],"on":[81],"past":[82],"user":[83],"purchase":[84,106],"behavior.":[85],"present":[87],"details":[88],"sampling":[91],"strategy":[92],"feature":[94],"engineering":[95],"that":[96],"have":[97],"been":[98],"critical":[99],"achieve":[101],"lift":[103],"both":[105],"through":[107],"rate":[108],"(PTR)":[109],"revenue.":[111]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":7},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":3},{"year":2017,"cited_by_count":2},{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}