{"id":"https://openalex.org/W2980921448","doi":"https://doi.org/10.1109/bigdata47090.2019.9006172","title":"Influence of Neighborhood on the Preference of an Item in eCommerce Search","display_name":"Influence of Neighborhood on the Preference of an Item in eCommerce Search","publication_year":2019,"publication_date":"2019-12-01","ids":{"openalex":"https://openalex.org/W2980921448","doi":"https://doi.org/10.1109/bigdata47090.2019.9006172","mag":"2980921448"},"language":"en","primary_location":{"id":"doi:10.1109/bigdata47090.2019.9006172","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata47090.2019.9006172","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Big Data (Big Data)","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1908.03825","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5056133421","display_name":"Saratchandra Indrakanti","orcid":null},"institutions":[{"id":"https://openalex.org/I4210150719","display_name":"eBay (United States)","ror":"https://ror.org/05cnabr44","country_code":"US","type":"company","lineage":["https://openalex.org/I4210150719"]},{"id":"https://openalex.org/I1321826891","display_name":"eBay (Ireland)","ror":"https://ror.org/02b00s810","country_code":"IE","type":"company","lineage":["https://openalex.org/I1321826891","https://openalex.org/I4210150719"]}],"countries":["IE","US"],"is_corresponding":true,"raw_author_name":"Saratchandra Indrakanti","raw_affiliation_strings":["eBay Inc. San Jose, California, USA","eBay#TAB#"],"affiliations":[{"raw_affiliation_string":"eBay Inc. San Jose, California, USA","institution_ids":["https://openalex.org/I4210150719"]},{"raw_affiliation_string":"eBay#TAB#","institution_ids":["https://openalex.org/I1321826891"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066918845","display_name":"Svetlana Strunja\u0161","orcid":null},"institutions":[{"id":"https://openalex.org/I4210150719","display_name":"eBay (United States)","ror":"https://ror.org/05cnabr44","country_code":"US","type":"company","lineage":["https://openalex.org/I4210150719"]},{"id":"https://openalex.org/I1321826891","display_name":"eBay (Ireland)","ror":"https://ror.org/02b00s810","country_code":"IE","type":"company","lineage":["https://openalex.org/I1321826891","https://openalex.org/I4210150719"]}],"countries":["IE","US"],"is_corresponding":false,"raw_author_name":"Svetlana Strunjas","raw_affiliation_strings":["eBay Inc. San Jose, California, USA","eBay#TAB#"],"affiliations":[{"raw_affiliation_string":"eBay Inc. San Jose, California, USA","institution_ids":["https://openalex.org/I4210150719"]},{"raw_affiliation_string":"eBay#TAB#","institution_ids":["https://openalex.org/I1321826891"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052085621","display_name":"Shubhangi Tandon","orcid":null},"institutions":[{"id":"https://openalex.org/I1321826891","display_name":"eBay (Ireland)","ror":"https://ror.org/02b00s810","country_code":"IE","type":"company","lineage":["https://openalex.org/I1321826891","https://openalex.org/I4210150719"]},{"id":"https://openalex.org/I4210150719","display_name":"eBay (United States)","ror":"https://ror.org/05cnabr44","country_code":"US","type":"company","lineage":["https://openalex.org/I4210150719"]}],"countries":["IE","US"],"is_corresponding":false,"raw_author_name":"Shubhangi Tandon","raw_affiliation_strings":["eBay Inc. San Jose, California, USA","eBay#TAB#"],"affiliations":[{"raw_affiliation_string":"eBay Inc. San Jose, California, USA","institution_ids":["https://openalex.org/I4210150719"]},{"raw_affiliation_string":"eBay#TAB#","institution_ids":["https://openalex.org/I1321826891"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5033679992","display_name":"Manojkumar Rangasamy Kannadasan","orcid":"https://orcid.org/0009-0001-8370-0840"},"institutions":[{"id":"https://openalex.org/I1321826891","display_name":"eBay (Ireland)","ror":"https://ror.org/02b00s810","country_code":"IE","type":"company","lineage":["https://openalex.org/I1321826891","https://openalex.org/I4210150719"]},{"id":"https://openalex.org/I4210150719","display_name":"eBay (United States)","ror":"https://ror.org/05cnabr44","country_code":"US","type":"company","lineage":["https://openalex.org/I4210150719"]}],"countries":["IE","US"],"is_corresponding":false,"raw_author_name":"Manojkumar Kannadasan","raw_affiliation_strings":["eBay Inc. San Jose, California, USA","eBay#TAB#"],"affiliations":[{"raw_affiliation_string":"eBay Inc. San Jose, California, USA","institution_ids":["https://openalex.org/I4210150719"]},{"raw_affiliation_string":"eBay#TAB#","institution_ids":["https://openalex.org/I1321826891"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5056133421"],"corresponding_institution_ids":["https://openalex.org/I1321826891","https://openalex.org/I4210150719"],"apc_list":null,"apc_paid":null,"fwci":0.3515,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.70198352,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"2284","last_page":"2288"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10286","display_name":"Information Retrieval and Search Behavior","score":0.9962999820709229,"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/T10286","display_name":"Information Retrieval and Search Behavior","score":0.9962999820709229,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.9901999831199646,"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/T12288","display_name":"Optimization and Search Problems","score":0.9900000095367432,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/ranking","display_name":"Ranking (information retrieval)","score":0.7653473019599915},{"id":"https://openalex.org/keywords/pairwise-comparison","display_name":"Pairwise comparison","score":0.6796190738677979},{"id":"https://openalex.org/keywords/baseline","display_name":"Baseline (sea)","score":0.6694228649139404},{"id":"https://openalex.org/keywords/learning-to-rank","display_name":"Learning to rank","score":0.650959312915802},{"id":"https://openalex.org/keywords/mean-reciprocal-rank","display_name":"Mean reciprocal rank","score":0.613629162311554},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5615156292915344},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.5421022772789001},{"id":"https://openalex.org/keywords/product","display_name":"Product (mathematics)","score":0.5400190949440002},{"id":"https://openalex.org/keywords/relevance","display_name":"Relevance (law)","score":0.5348803997039795},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.5245178937911987},{"id":"https://openalex.org/keywords/preference","display_name":"Preference","score":0.47543004155158997},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.4478309750556946},{"id":"https://openalex.org/keywords/product-category","display_name":"Product category","score":0.4227825105190277},{"id":"https://openalex.org/keywords/preference-learning","display_name":"Preference learning","score":0.4166608154773712},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.34154456853866577},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3314827084541321},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.24200758337974548},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.21873325109481812}],"concepts":[{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.7653473019599915},{"id":"https://openalex.org/C184898388","wikidata":"https://www.wikidata.org/wiki/Q1435712","display_name":"Pairwise comparison","level":2,"score":0.6796190738677979},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.6694228649139404},{"id":"https://openalex.org/C86037889","wikidata":"https://www.wikidata.org/wiki/Q4330127","display_name":"Learning to rank","level":3,"score":0.650959312915802},{"id":"https://openalex.org/C44083865","wikidata":"https://www.wikidata.org/wiki/Q3853443","display_name":"Mean reciprocal rank","level":2,"score":0.613629162311554},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5615156292915344},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.5421022772789001},{"id":"https://openalex.org/C90673727","wikidata":"https://www.wikidata.org/wiki/Q901718","display_name":"Product (mathematics)","level":2,"score":0.5400190949440002},{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.5348803997039795},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.5245178937911987},{"id":"https://openalex.org/C2781249084","wikidata":"https://www.wikidata.org/wiki/Q908656","display_name":"Preference","level":2,"score":0.47543004155158997},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.4478309750556946},{"id":"https://openalex.org/C147101817","wikidata":"https://www.wikidata.org/wiki/Q13443840","display_name":"Product category","level":3,"score":0.4227825105190277},{"id":"https://openalex.org/C181204326","wikidata":"https://www.wikidata.org/wiki/Q7239820","display_name":"Preference learning","level":3,"score":0.4166608154773712},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.34154456853866577},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3314827084541321},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.24200758337974548},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.21873325109481812},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"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/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","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}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/bigdata47090.2019.9006172","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata47090.2019.9006172","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Big Data (Big Data)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1908.03825","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1908.03825","pdf_url":"https://arxiv.org/pdf/1908.03825","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"mag:2980921448","is_oa":true,"landing_page_url":"https://arxiv.org/pdf/1908.03825.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},{"id":"doi:10.48550/arxiv.1908.03825","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1908.03825","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1908.03825","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1908.03825","pdf_url":"https://arxiv.org/pdf/1908.03825","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.4300000071525574,"display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2980921448.pdf","grobid_xml":"https://content.openalex.org/works/W2980921448.grobid-xml"},"referenced_works_count":20,"referenced_works":["https://openalex.org/W1973435495","https://openalex.org/W1974360117","https://openalex.org/W1992549066","https://openalex.org/W1993320088","https://openalex.org/W2026784708","https://openalex.org/W2041389336","https://openalex.org/W2047221353","https://openalex.org/W2047804176","https://openalex.org/W2091158010","https://openalex.org/W2099391294","https://openalex.org/W2101626488","https://openalex.org/W2108862644","https://openalex.org/W2115584760","https://openalex.org/W2134131174","https://openalex.org/W2149427297","https://openalex.org/W2152314154","https://openalex.org/W2741497758","https://openalex.org/W2949822670","https://openalex.org/W6677385034","https://openalex.org/W6763296836"],"related_works":["https://openalex.org/W3008587966","https://openalex.org/W2949136238","https://openalex.org/W2788456731","https://openalex.org/W2937325523","https://openalex.org/W2765173555","https://openalex.org/W2511744082","https://openalex.org/W2945533469","https://openalex.org/W3028579689","https://openalex.org/W2908790338","https://openalex.org/W2808490895","https://openalex.org/W2467216808","https://openalex.org/W2198142434","https://openalex.org/W2758310828","https://openalex.org/W2897002648","https://openalex.org/W2976677489","https://openalex.org/W2133893416","https://openalex.org/W2886412735","https://openalex.org/W2973171206","https://openalex.org/W2809337658","https://openalex.org/W2798997222"],"abstract_inverted_index":{"Surfacing":[0],"a":[1,7,20,32,39,45,52,78,175,179],"ranked":[2,125,158],"list":[3],"of":[4,34,84,88,131,142,201,230,251],"items":[5,27,101,123,157,173],"for":[6,51,71,233],"search":[8,41,166],"query":[9],"to":[10,38,76,92,118,146,185],"help":[11],"buyers":[12],"discover":[13],"inventory":[14],"and":[15,160,177],"make":[16,77],"purchase":[17,69,79,148],"decisions":[18],"is":[19],"critical":[21],"problem":[22],"in":[23,44,165,199,215,220],"eCommerce":[24],"search.":[25],"Typically,":[26],"are":[28,56,116,124,183],"independently":[29,126],"predicted":[30],"with":[31,36,192,210,248],"probability":[33],"sale":[35],"respect":[37],"given":[40],"query.":[42],"But":[43,114],"dynamic":[46],"marketplace":[47],"like":[48,107],"eBay,":[49],"even":[50],"single":[53],"product,":[54],"there":[55],"various":[57],"different":[58,231],"factors":[59],"distinguishing":[60],"one":[61],"item":[62,133,164],"from":[63],"another":[64],"which":[65],"can":[66],"influence":[67,141],"the":[68,72,89,96,104,129,132,140,153,156,162,189,223,243,256],"decision":[70,80],"user.":[73],"Users":[74],"have":[75],"by":[81],"considering":[82],"all":[83],"these":[85],"options.":[86],"Majority":[87],"existing":[90],"learning":[91,178],"rank":[93],"algorithms":[94],"model":[95],"relative":[97],"relevance":[98],"between":[99],"labeled":[100],"only":[102],"at":[103],"loss":[105],"functions":[106,121],"pairwise":[108],"or":[109],"list-wise":[110],"losses":[111],"[1]":[112],"-[3].":[113],"they":[115],"limited":[117],"point-wise":[119],"scoring":[120],"where":[122],"based":[127,245],"on":[128,246],"features":[130,171,194,213],"itself.":[134],"In":[135],"this":[136],"paper,":[137],"we":[138,151,182],"study":[139,228],"an":[143,249],"item's":[144],"neighborhood":[145,154,176,239],"its":[147],"decision.":[149],"Here,":[150],"consider":[152],"as":[155],"above":[159],"below":[161],"current":[163],"results.":[167],"By":[168],"adding":[169],"delta":[170,193,212],"comparing":[172],"within":[174],"ranking":[180,208],"model,":[181],"able":[184],"experimentally":[186],"show":[187,237],"that":[188,238],"new":[190],"ranker":[191,198],"outperforms":[195],"our":[196],"baseline":[197,224,257],"terms":[200],"Mean":[202],"Reciprocal":[203],"Rank":[204],"(MRR)":[205],"[4].":[206],"The":[207],"models":[209],"proposed":[211],"result":[214],"3":[216,241],"-":[217,253],"5%":[218,254],"improvement":[219,250],"MRR":[221,247],"over":[222,255],"model.":[225,258],"We":[226],"also":[227],"impact":[229],"sizes":[232],"neighborhood.":[234],"Experimental":[235],"results":[236],"size":[240],"perform":[242],"best":[244],"4":[252]},"counts_by_year":[{"year":2020,"cited_by_count":1}],"updated_date":"2026-03-10T16:38:18.471706","created_date":"2025-10-10T00:00:00"}
