{"id":"https://openalex.org/W1970949629","doi":"https://doi.org/10.1145/2766462.2767873","title":"DUMPLING","display_name":"DUMPLING","publication_year":2015,"publication_date":"2015-08-04","ids":{"openalex":"https://openalex.org/W1970949629","doi":"https://doi.org/10.1145/2766462.2767873","mag":"1970949629"},"language":"en","primary_location":{"id":"doi:10.1145/2766462.2767873","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2766462.2767873","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval","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/A5061312894","display_name":"Andrew Jie Zhou","orcid":null},"institutions":[{"id":"https://openalex.org/I184565670","display_name":"Georgetown University","ror":"https://ror.org/05vzafd60","country_code":"US","type":"education","lineage":["https://openalex.org/I184565670"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Andrew Jie Zhou","raw_affiliation_strings":["Georgetown University, Washington, DC, USA"],"affiliations":[{"raw_affiliation_string":"Georgetown University, Washington, DC, USA","institution_ids":["https://openalex.org/I184565670"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061774014","display_name":"Jiyun Luo","orcid":"https://orcid.org/0009-0000-2673-0296"},"institutions":[{"id":"https://openalex.org/I184565670","display_name":"Georgetown University","ror":"https://ror.org/05vzafd60","country_code":"US","type":"education","lineage":["https://openalex.org/I184565670"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jiyun Luo","raw_affiliation_strings":["Georgetown University, Washington, DC, USA"],"affiliations":[{"raw_affiliation_string":"Georgetown University, Washington, DC, USA","institution_ids":["https://openalex.org/I184565670"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5002485529","display_name":"Grace Hui Yang","orcid":"https://orcid.org/0000-0001-6095-8358"},"institutions":[{"id":"https://openalex.org/I184565670","display_name":"Georgetown University","ror":"https://ror.org/05vzafd60","country_code":"US","type":"education","lineage":["https://openalex.org/I184565670"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hui Yang","raw_affiliation_strings":["Georgetown University, Washington, DC, USA"],"affiliations":[{"raw_affiliation_string":"Georgetown University, Washington, DC, USA","institution_ids":["https://openalex.org/I184565670"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5061312894"],"corresponding_institution_ids":["https://openalex.org/I184565670"],"apc_list":null,"apc_paid":null,"fwci":0.7946,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.80507919,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1049","last_page":"1050"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12016","display_name":"Web Data Mining and Analysis","score":0.9970999956130981,"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/T12016","display_name":"Web Data Mining and Analysis","score":0.9970999956130981,"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/T10317","display_name":"Advanced Database Systems and Queries","score":0.9941999912261963,"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"}},{"id":"https://openalex.org/T12761","display_name":"Data Stream Mining Techniques","score":0.9914000034332275,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8120400905609131},{"id":"https://openalex.org/keywords/search-engine","display_name":"Search engine","score":0.7774810791015625},{"id":"https://openalex.org/keywords/search-analytics","display_name":"Search analytics","score":0.7104778289794922},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.6410504579544067},{"id":"https://openalex.org/keywords/search-algorithm","display_name":"Search algorithm","score":0.5939857959747314},{"id":"https://openalex.org/keywords/search-engine-indexing","display_name":"Search engine indexing","score":0.553892970085144},{"id":"https://openalex.org/keywords/session","display_name":"Session (web analytics)","score":0.5461687445640564},{"id":"https://openalex.org/keywords/beam-search","display_name":"Beam search","score":0.5394061803817749},{"id":"https://openalex.org/keywords/semantic-search","display_name":"Semantic search","score":0.50662761926651},{"id":"https://openalex.org/keywords/best-first-search","display_name":"Best-first search","score":0.47166764736175537},{"id":"https://openalex.org/keywords/spamdexing","display_name":"Spamdexing","score":0.45989328622817993},{"id":"https://openalex.org/keywords/state","display_name":"State (computer science)","score":0.44362348318099976},{"id":"https://openalex.org/keywords/concept-search","display_name":"Concept search","score":0.43574440479278564},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.41134363412857056},{"id":"https://openalex.org/keywords/web-search-query","display_name":"Web search query","score":0.3724925220012665},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.367293119430542},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.29353201389312744},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.15716516971588135}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8120400905609131},{"id":"https://openalex.org/C97854310","wikidata":"https://www.wikidata.org/wiki/Q19541","display_name":"Search engine","level":2,"score":0.7774810791015625},{"id":"https://openalex.org/C14838553","wikidata":"https://www.wikidata.org/wiki/Q7441639","display_name":"Search analytics","level":4,"score":0.7104778289794922},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.6410504579544067},{"id":"https://openalex.org/C125583679","wikidata":"https://www.wikidata.org/wiki/Q755673","display_name":"Search algorithm","level":2,"score":0.5939857959747314},{"id":"https://openalex.org/C75165309","wikidata":"https://www.wikidata.org/wiki/Q2258979","display_name":"Search engine indexing","level":2,"score":0.553892970085144},{"id":"https://openalex.org/C2779182362","wikidata":"https://www.wikidata.org/wiki/Q17126187","display_name":"Session (web analytics)","level":2,"score":0.5461687445640564},{"id":"https://openalex.org/C19889080","wikidata":"https://www.wikidata.org/wiki/Q2835852","display_name":"Beam search","level":3,"score":0.5394061803817749},{"id":"https://openalex.org/C166423231","wikidata":"https://www.wikidata.org/wiki/Q1891170","display_name":"Semantic search","level":3,"score":0.50662761926651},{"id":"https://openalex.org/C46011968","wikidata":"https://www.wikidata.org/wiki/Q830527","display_name":"Best-first search","level":4,"score":0.47166764736175537},{"id":"https://openalex.org/C13565553","wikidata":"https://www.wikidata.org/wiki/Q804206","display_name":"Spamdexing","level":5,"score":0.45989328622817993},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.44362348318099976},{"id":"https://openalex.org/C182861755","wikidata":"https://www.wikidata.org/wiki/Q5158391","display_name":"Concept search","level":4,"score":0.43574440479278564},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.41134363412857056},{"id":"https://openalex.org/C164120249","wikidata":"https://www.wikidata.org/wiki/Q995982","display_name":"Web search query","level":3,"score":0.3724925220012665},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.367293119430542},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.29353201389312744},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.15716516971588135},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2766462.2767873","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2766462.2767873","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6399999856948853,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":5,"referenced_works":["https://openalex.org/W351863176","https://openalex.org/W2042816580","https://openalex.org/W2055007736","https://openalex.org/W2137931117","https://openalex.org/W4206842331"],"related_works":["https://openalex.org/W2081821176","https://openalex.org/W1994919150","https://openalex.org/W2062919806","https://openalex.org/W4372346753","https://openalex.org/W2224555876","https://openalex.org/W2064794194","https://openalex.org/W2546438029","https://openalex.org/W2185312392","https://openalex.org/W2368178314","https://openalex.org/W2047302308"],"abstract_inverted_index":{"In":[0],"this":[1],"demo":[2],"paper,":[3],"we":[4],"introduce":[5],"a":[6,16,36,40,65,83,94,130],"new":[7],"search":[8,21,44,60,67,80,90,97,103,114,119,141],"engine":[9,22,45],"that":[10],"supports":[11],"Information":[12],"Retrieval":[13,74],"(IR)":[14],"in":[15,35,133],"dynamic":[17,20,59,66,102,113],"setting.":[18],"A":[19],"distinguishes":[23],"itself":[24],"by":[25,69,93],"handling":[26],"rich":[27],"interactions":[28],"and":[29,62,77,99,106,118,140,149],"temporal":[30],"dependency":[31],"among":[32],"the":[33,51,71,78,100,112,127,134,142],"queries":[34],"session":[37],"or":[38],"for":[39,108],"task.":[41],"The":[42],"proposed":[43,101],"is":[46,124],"called":[47],"Dumpling,":[48],"named":[49],"after":[50],"development":[52],"team's":[53],"favorite":[54],"food.":[55],"It":[56],"implements":[57],"state-of-the-art":[58,95],"algorithms":[61,115],"provides:":[63],"(i)":[64],"toolkit":[68],"integrating":[70],"Query":[72],"Change":[73],"Model":[75],"(QCM)":[76],"Win-win":[79],"algorithm;":[81],"(ii)":[82],"user-friendly":[84],"interface":[85],"supporting":[86],"side-by-side":[87],"comparison":[88],"of":[89,129],"results":[91],"given":[92],"static":[96],"algorithm":[98],"algorithms;":[104],"(iii)":[105],"APIs":[107],"developers":[109],"to":[110,116,138,145],"apply":[111],"index":[117],"over":[120],"custom":[121],"datasets.":[122],"Dumpling":[123],"developed":[125],"under":[126],"umbrella":[128],"bigger":[131],"project":[132],"DARPA":[135],"Memex":[136],"program":[137],"crawl":[139],"dark":[143],"web":[144],"support":[146],"law":[147],"enforcement":[148],"national":[150],"security.":[151]},"counts_by_year":[{"year":2016,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2016-06-24T00:00:00"}
