{"id":"https://openalex.org/W2051734200","doi":"https://doi.org/10.1109/icmlc.2013.6890514","title":"An incremental learning strategy for search results optimization","display_name":"An incremental learning strategy for search results optimization","publication_year":2013,"publication_date":"2013-07-01","ids":{"openalex":"https://openalex.org/W2051734200","doi":"https://doi.org/10.1109/icmlc.2013.6890514","mag":"2051734200"},"language":"en","primary_location":{"id":"doi:10.1109/icmlc.2013.6890514","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icmlc.2013.6890514","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 International Conference on Machine Learning and Cybernetics","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/A5100394707","display_name":"Xiang Liu","orcid":"https://orcid.org/0009-0000-1777-3681"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiang Liu","raw_affiliation_strings":["MOE-MS Key Laboratory of Natural Language Processing and Speech, Harbin Institute of Technology, Harbin, China","MOE_MS Key Laboratory of Natural Language Processing and Speech, Harbin Institute of Technology, 150001, China"],"affiliations":[{"raw_affiliation_string":"MOE-MS Key Laboratory of Natural Language Processing and Speech, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]},{"raw_affiliation_string":"MOE_MS Key Laboratory of Natural Language Processing and Speech, Harbin Institute of Technology, 150001, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102073255","display_name":"Dequan Zheng","orcid":null},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dequan Zheng","raw_affiliation_strings":["MOE-MS Key Laboratory of Natural Language Processing and Speech, Harbin Institute of Technology, Harbin, China","MOE_MS Key Laboratory of Natural Language Processing and Speech, Harbin Institute of Technology, 150001, China"],"affiliations":[{"raw_affiliation_string":"MOE-MS Key Laboratory of Natural Language Processing and Speech, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]},{"raw_affiliation_string":"MOE_MS Key Laboratory of Natural Language Processing and Speech, Harbin Institute of Technology, 150001, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5003333136","display_name":"Bing Xu","orcid":"https://orcid.org/0000-0003-3677-1109"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bing Xu","raw_affiliation_strings":["MOE-MS Key Laboratory of Natural Language Processing and Speech, Harbin Institute of Technology, Harbin, China","MOE_MS Key Laboratory of Natural Language Processing and Speech, Harbin Institute of Technology, 150001, China"],"affiliations":[{"raw_affiliation_string":"MOE-MS Key Laboratory of Natural Language Processing and Speech, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]},{"raw_affiliation_string":"MOE_MS Key Laboratory of Natural Language Processing and Speech, Harbin Institute of Technology, 150001, China","institution_ids":["https://openalex.org/I204983213"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100394707"],"corresponding_institution_ids":["https://openalex.org/I204983213"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.08807012,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"27","issue":null,"first_page":"491","last_page":"495"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11550","display_name":"Text and Document Classification Technologies","score":0.9973999857902527,"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"}},"topics":[{"id":"https://openalex.org/T11550","display_name":"Text and Document Classification Technologies","score":0.9973999857902527,"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/T12016","display_name":"Web Data Mining and Analysis","score":0.9972000122070312,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9932000041007996,"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/computer-science","display_name":"Computer science","score":0.826967716217041},{"id":"https://openalex.org/keywords/thesaurus","display_name":"Thesaurus","score":0.769264817237854},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.7385885715484619},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.665032684803009},{"id":"https://openalex.org/keywords/search-engine","display_name":"Search engine","score":0.635825514793396},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5787758231163025},{"id":"https://openalex.org/keywords/query-expansion","display_name":"Query expansion","score":0.5086342096328735},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3474346399307251},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3320055603981018}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.826967716217041},{"id":"https://openalex.org/C2778698081","wikidata":"https://www.wikidata.org/wiki/Q179797","display_name":"Thesaurus","level":2,"score":0.769264817237854},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.7385885715484619},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.665032684803009},{"id":"https://openalex.org/C97854310","wikidata":"https://www.wikidata.org/wiki/Q19541","display_name":"Search engine","level":2,"score":0.635825514793396},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5787758231163025},{"id":"https://openalex.org/C99016210","wikidata":"https://www.wikidata.org/wiki/Q5488129","display_name":"Query expansion","level":2,"score":0.5086342096328735},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3474346399307251},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3320055603981018},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icmlc.2013.6890514","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icmlc.2013.6890514","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 International Conference on Machine Learning and Cybernetics","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.6399999856948853}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W1509167927","https://openalex.org/W1965555277","https://openalex.org/W2056206543","https://openalex.org/W2072284402","https://openalex.org/W2138621811","https://openalex.org/W2367099342","https://openalex.org/W2547476605"],"related_works":["https://openalex.org/W2560191017","https://openalex.org/W2046824966","https://openalex.org/W2095939614","https://openalex.org/W2372589351","https://openalex.org/W2348892528","https://openalex.org/W1488944545","https://openalex.org/W2468576951","https://openalex.org/W2014728371","https://openalex.org/W2399119034","https://openalex.org/W2160726690"],"abstract_inverted_index":{"The":[0],"traditional":[1,39,123],"search":[2,81],"engines":[3],"rarely":[4],"consider":[5],"features":[6,34,68],"of":[7,35,99],"the":[8,12,25,33,50,60,70,76,80,91,118,141,149],"document":[9,36,61],"set,":[10],"so":[11,17],"retrieval":[13,26,40,51,124],"results":[14,82,121],"are":[15,22],"not":[16],"satisfactory":[18],"after":[19],"new":[20,67],"documents":[21,73],"added":[23,72,143],"into":[24],"system.":[27],"In":[28],"this":[29,103],"paper":[30],"we":[31,64],"combine":[32],"set":[37],"with":[38,94],"models":[41],"and":[42,74,145],"propose":[43],"an":[44],"incremental":[45],"learning":[46],"strategy":[47],"to":[48,86,140],"optimize":[49],"results.":[52],"We":[53],"got":[54],"a":[55,95,134],"feature":[56,77,92],"thesaurus":[57,93],"by":[58,107],"extracting":[59],"set.":[62],"Then":[63],"collected":[65],"some":[66],"from":[69],"newly":[71,142],"refreshed":[75],"thesaurus.":[78],"Finally,":[79],"were":[83],"reordered":[84],"according":[85],"how":[87],"well":[88],"they":[89],"matched":[90],"query.":[96],"Several":[97],"parts":[98],"experiments":[100],"show":[101],"that":[102,128],"method":[104],"averagely":[105],"rises":[106],"9.4%":[108],"in":[109,112,115],"precision,":[110],"14.9%":[111],"MAP,":[113],"4.6%":[114],"DCG":[116],"towards":[117],"top":[119],"10":[120],"than":[122],"means,":[125],"which":[126],"means":[127],"it":[129],"processes":[130],"better":[131,137],"while":[132,138,147],"making":[133],"query,":[135],"even":[136],"querying":[139],"documents,":[144],"faster":[146],"locating":[148],"required":[150],"information.":[151]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}