{"id":"https://openalex.org/W2972527961","doi":"https://doi.org/10.1145/3298689.3346995","title":"Ghosting","display_name":"Ghosting","publication_year":2019,"publication_date":"2019-09-10","ids":{"openalex":"https://openalex.org/W2972527961","doi":"https://doi.org/10.1145/3298689.3346995","mag":"2972527961"},"language":"en","primary_location":{"id":"doi:10.1145/3298689.3346995","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3298689.3346995","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 13th 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/A5111086224","display_name":"Lakshmi Ramachandran","orcid":"https://orcid.org/0000-0002-9399-7684"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lakshmi Ramachandran","raw_affiliation_strings":["Amazon Search"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Amazon Search","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5043516644","display_name":"Uma Murthy","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Uma Murthy","raw_affiliation_strings":["Amazon Search"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Amazon Search","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.3527,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.69451045,"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":"196","last_page":"200"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10286","display_name":"Information Retrieval and Search Behavior","score":0.9983000159263611,"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":0.9983000159263611,"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/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.9965999722480774,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"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/T12607","display_name":"Personal Information Management and User Behavior","score":0.9872999787330627,"subfield":{"id":"https://openalex.org/subfields/1802","display_name":"Information Systems and Management"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/ghosting","display_name":"Ghosting","score":0.928473949432373},{"id":"https://openalex.org/keywords/session","display_name":"Session (web analytics)","score":0.7419601678848267},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6982894539833069},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6896898746490479},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.5132746696472168},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4420759081840515},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.42045295238494873},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.16218620538711548},{"id":"https://openalex.org/keywords/history","display_name":"History","score":0.06879374384880066}],"concepts":[{"id":"https://openalex.org/C2780531524","wikidata":"https://www.wikidata.org/wiki/Q551540","display_name":"Ghosting","level":2,"score":0.928473949432373},{"id":"https://openalex.org/C2779182362","wikidata":"https://www.wikidata.org/wiki/Q17126187","display_name":"Session (web analytics)","level":2,"score":0.7419601678848267},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6982894539833069},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6896898746490479},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.5132746696472168},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4420759081840515},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.42045295238494873},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.16218620538711548},{"id":"https://openalex.org/C95457728","wikidata":"https://www.wikidata.org/wiki/Q309","display_name":"History","level":0,"score":0.06879374384880066},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3298689.3346995","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3298689.3346995","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 13th ACM Conference on Recommender Systems","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W2030960598","https://openalex.org/W2093646604","https://openalex.org/W2135500808","https://openalex.org/W2143196462","https://openalex.org/W2152340385","https://openalex.org/W2164986850","https://openalex.org/W2331149979","https://openalex.org/W2461694394","https://openalex.org/W2618735189","https://openalex.org/W2963298472"],"related_works":["https://openalex.org/W114247175","https://openalex.org/W182732483","https://openalex.org/W2362376230","https://openalex.org/W2168619551","https://openalex.org/W2001810581","https://openalex.org/W2005010979","https://openalex.org/W2141399949","https://openalex.org/W2281631248","https://openalex.org/W107076218","https://openalex.org/W2083836425"],"abstract_inverted_index":{"Query":[0],"auto-completion":[1],"presents":[2],"a":[3,11,20,38,56],"ranked":[4],"list":[5],"of":[6,18,37,76],"queries":[7],"as":[8],"suggestions":[9,78],"for":[10],"user-entered":[12],"prefix.":[13],"Ghosting":[14],"is":[15],"the":[16,25,30,35,74],"process":[17],"auto-completing":[19],"search":[21,31,45,64],"recommendation":[22,40],"by":[23,79,85,91],"highlighting":[24],"suggested":[26],"text":[27],"inline":[28],"within":[29],"box.":[32],"We":[33,52,66],"propose":[34],"use":[36],"behavior-based":[39],"model":[41],"along":[42],"with":[43],"customer":[44],"context":[46],"to":[47],"ghost":[48],"on":[49,55,60],"high-confidence":[50],"queries.":[51],"tested":[53],"ghosting":[54,71],"retail":[57],"production":[58],"system,":[59],"over":[61],"140":[62],"million":[63],"sessions.":[65],"found":[67],"that":[68],"session-context":[69],"based":[70],"significantly":[72],"increased":[73],"acceptance":[75],"offered":[77],"6.18%,":[80],"reduced":[81],"misspellings":[82],"among":[83],"searches":[84],"4.42%,":[86],"and":[87],"improved":[88],"net":[89],"sales":[90],"0.14%.":[92]},"counts_by_year":[{"year":2021,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2019-09-19T00:00:00"}