{"id":"https://openalex.org/W4401232980","doi":"https://doi.org/10.12694/scpe.v25i5.3074","title":"The Application of Deep Learning Intelligent Robots in the Design and Implementation of Information Retrieval Systems","display_name":"The Application of Deep Learning Intelligent Robots in the Design and Implementation of Information Retrieval Systems","publication_year":2024,"publication_date":"2024-08-01","ids":{"openalex":"https://openalex.org/W4401232980","doi":"https://doi.org/10.12694/scpe.v25i5.3074"},"language":"en","primary_location":{"id":"doi:10.12694/scpe.v25i5.3074","is_oa":true,"landing_page_url":"http://dx.doi.org/10.12694/scpe.v25i5.3074","pdf_url":"https://scpe.org/index.php/scpe/article/download/3074/1148","source":{"id":"https://openalex.org/S2764391171","display_name":"Scalable Computing Practice and Experience","issn_l":"1895-1767","issn":["1895-1767"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Scalable Computing: Practice and Experience","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://scpe.org/index.php/scpe/article/download/3074/1148","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5020155139","display_name":"Yuqi Miao","orcid":"https://orcid.org/0009-0006-2677-0507"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Yuqi Miao","raw_affiliation_strings":["Hefei Preschool Education College, China"],"affiliations":[{"raw_affiliation_string":"Hefei Preschool Education College, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5020155139"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.10161983,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"25","issue":"5","first_page":"3305","last_page":"3313"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14413","display_name":"Advanced Technologies in Various Fields","score":0.9186000227928162,"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/T14413","display_name":"Advanced Technologies in Various Fields","score":0.9186000227928162,"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":0.885134756565094},{"id":"https://openalex.org/keywords/visual-word","display_name":"Visual Word","score":0.6664459109306335},{"id":"https://openalex.org/keywords/relevance","display_name":"Relevance (law)","score":0.5829861164093018},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.561626672744751},{"id":"https://openalex.org/keywords/grasp","display_name":"GRASP","score":0.5435736775398254},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4871194362640381},{"id":"https://openalex.org/keywords/divergence-from-randomness-model","display_name":"Divergence-from-randomness model","score":0.457367479801178},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image retrieval","score":0.44556182622909546},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.44247204065322876},{"id":"https://openalex.org/keywords/vector-space-model","display_name":"Vector space model","score":0.43444374203681946},{"id":"https://openalex.org/keywords/gaze","display_name":"Gaze","score":0.4285168945789337},{"id":"https://openalex.org/keywords/divergence","display_name":"Divergence (linguistics)","score":0.4282434582710266},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.4145696759223938},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.12720775604248047},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.126066654920578}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.885134756565094},{"id":"https://openalex.org/C189391414","wikidata":"https://www.wikidata.org/wiki/Q7936579","display_name":"Visual Word","level":4,"score":0.6664459109306335},{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.5829861164093018},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.561626672744751},{"id":"https://openalex.org/C171268870","wikidata":"https://www.wikidata.org/wiki/Q1486676","display_name":"GRASP","level":2,"score":0.5435736775398254},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4871194362640381},{"id":"https://openalex.org/C149189445","wikidata":"https://www.wikidata.org/wiki/Q5283894","display_name":"Divergence-from-randomness model","level":3,"score":0.457367479801178},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.44556182622909546},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.44247204065322876},{"id":"https://openalex.org/C89686163","wikidata":"https://www.wikidata.org/wiki/Q1187982","display_name":"Vector space model","level":2,"score":0.43444374203681946},{"id":"https://openalex.org/C2779916870","wikidata":"https://www.wikidata.org/wiki/Q14467155","display_name":"Gaze","level":2,"score":0.4285168945789337},{"id":"https://openalex.org/C207390915","wikidata":"https://www.wikidata.org/wiki/Q1230525","display_name":"Divergence (linguistics)","level":2,"score":0.4282434582710266},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.4145696759223938},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.12720775604248047},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.126066654920578},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.12694/scpe.v25i5.3074","is_oa":true,"landing_page_url":"http://dx.doi.org/10.12694/scpe.v25i5.3074","pdf_url":"https://scpe.org/index.php/scpe/article/download/3074/1148","source":{"id":"https://openalex.org/S2764391171","display_name":"Scalable Computing Practice and Experience","issn_l":"1895-1767","issn":["1895-1767"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Scalable Computing: Practice and Experience","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.12694/scpe.v25i5.3074","is_oa":true,"landing_page_url":"http://dx.doi.org/10.12694/scpe.v25i5.3074","pdf_url":"https://scpe.org/index.php/scpe/article/download/3074/1148","source":{"id":"https://openalex.org/S2764391171","display_name":"Scalable Computing Practice and Experience","issn_l":"1895-1767","issn":["1895-1767"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Scalable Computing: Practice and Experience","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4401232980.pdf"},"referenced_works_count":20,"referenced_works":["https://openalex.org/W3139438016","https://openalex.org/W3150213923","https://openalex.org/W3152477916","https://openalex.org/W3162963596","https://openalex.org/W3169487154","https://openalex.org/W3170825568","https://openalex.org/W3172160324","https://openalex.org/W3180384373","https://openalex.org/W3190112246","https://openalex.org/W3193901653","https://openalex.org/W3194825184","https://openalex.org/W3197998915","https://openalex.org/W3203282020","https://openalex.org/W3208177380","https://openalex.org/W3211397204","https://openalex.org/W3213548472","https://openalex.org/W4220733157","https://openalex.org/W4223917254","https://openalex.org/W4361199406","https://openalex.org/W4378981606"],"related_works":["https://openalex.org/W1999713929","https://openalex.org/W1924059391","https://openalex.org/W2326718978","https://openalex.org/W2063218608","https://openalex.org/W4386105885","https://openalex.org/W2376017636","https://openalex.org/W1028573334","https://openalex.org/W1571084886","https://openalex.org/W1981304974","https://openalex.org/W1994880410"],"abstract_inverted_index":{"Traditional":[0],"information":[1,29,108,142,165,182,249],"retrieval":[2,21,30,101,109,164,173,183,219,237],"algorithms":[3],"ignore":[4],"user":[5,12,47,170],"needs":[6,171],"and":[7,15,50,53,62,86,90,115,138,172,208,217,244],"are":[8,71,93],"unable":[9],"to":[10,73,95,106,121,150,224],"obtain":[11,46],"gaze":[13,16,48,51,60],"coordinates":[14,49],"times,":[17],"resulting":[18],"in":[19,65,103,157,203],"low":[20],"accuracy.":[22],"The":[23,144,199],"author":[24],"proposes":[25],"a":[26,75,97,204,225],"new":[27],"interactive":[28,141,248],"algorithm":[31,92,234],"for":[32],"this":[33,158],"purpose.":[34],"Divide":[35],"eye":[36,43],"tracking":[37],"technology":[38],"evaluation":[39],"indicators,":[40],"visually":[41],"process":[42],"movement":[44],"information,":[45,216],"time,":[52],"calculate":[54,122,134],"the":[55,66,80,83,123,128,135,140,151,160,176,190,218,232],"influence":[56],"coefficients":[57],"of":[58,82,131,153,162,178,189],"each":[59,63],"area":[61],"point":[64],"area.":[67],"Weighted":[68],"visual":[69,76,87],"words":[70],"accumulated":[72],"get":[74],"word":[77,88],"list":[78,89],"with":[79],"weight":[81],"associated":[84],"area,":[85],"Rocchio":[91],"combined":[94],"build":[96],"hidden":[98],"Relevance":[99],"feedback":[100],"model":[102],"semantic":[104],"space":[105],"judge":[107],"preferences.":[110],"Intelligent":[111],"robot":[112,155],"is":[113,119,166,184,202,221,229],"introduced,":[114],"Jensen":[116],"Shannon":[117],"divergence":[118,125],"used":[120],"Kullback\u2013Leibler":[124],"distance":[126],"between":[127],"probability":[129],"distributions":[130],"document":[132],"sets,":[133],"similarity":[136],"matching,":[137],"complete":[139],"retrieval.":[143,250],"simulation":[145],"results":[146],"prove":[147],"that,":[148],"due":[149],"introduction":[152],"intelligent":[154],"strategy":[156],"method,":[159],"amount":[161,177],"irrelevant":[163],"reduced":[167],"by":[168,181],"matching":[169],"results.":[174],"Therefore,":[175],"messages":[179],"generated":[180],"significantly":[185],"lower":[186],"than":[187],"that":[188,231],"two":[191],"literature":[192],"methods,":[193],"without":[194],"adding":[195],"additional":[196],"network":[197,200,242],"load.":[198],"system":[201],"stable":[205],"operation":[206],"state,":[207],"users":[209],"can":[210,239],"quickly":[211],"grasp":[212],"their":[213],"own":[214],"required":[215],"speed":[220],"also":[222],"improved":[223],"certain":[226],"extent.":[227],"It":[228],"proved":[230],"proposed":[233],"has":[235],"high":[236],"accuracy,":[238],"effectively":[240],"reduce":[241],"load":[243],"achieve":[245],"high-quality":[246],"human-computer":[247]},"counts_by_year":[],"updated_date":"2025-12-31T23:11:33.660297","created_date":"2025-10-10T00:00:00"}