Creation material recommendation method and device, computer equipment and storage medium
The invention discloses a creation material recommendation method, which is applied to the technical field of artificial intelligence and is used for solving the technical problem of low matching accuracy of material contents searched only through related keywords. The method provided by the inventi...
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creator | YANG DEJIE |
description | The invention discloses a creation material recommendation method, which is applied to the technical field of artificial intelligence and is used for solving the technical problem of low matching accuracy of material contents searched only through related keywords. The method provided by the invention comprises the following steps: extracting corresponding attribute characteristics from own attribute information of a creator according to preset attribute characteristics; carrying out quantitative processing on the extracted attribute feature to obtain a creator attribute feature vector; acquiring stored material information corresponding to the creation theme from a memory; inputting the material information into a word vector model to obtain a material feature vector; transversely splicing the creator attribute feature vector and the material feature vector to obtain a spliced vector; inputting creation materials in a resource library and the splicing vector into a pre-trained deep neural network to obtain a |
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The method provided by the invention comprises the following steps: extracting corresponding attribute characteristics from own attribute information of a creator according to preset attribute characteristics; carrying out quantitative processing on the extracted attribute feature to obtain a creator attribute feature vector; acquiring stored material information corresponding to the creation theme from a memory; inputting the material information into a word vector model to obtain a material feature vector; transversely splicing the creator attribute feature vector and the material feature vector to obtain a spliced vector; inputting creation materials in a resource library and the splicing vector into a pre-trained deep neural network to obtain a</description><language>chi ; eng</language><subject>CALCULATING ; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS ; COMPUTING ; COUNTING ; ELECTRIC DIGITAL DATA PROCESSING ; HANDLING RECORD CARRIERS ; PHYSICS ; PRESENTATION OF DATA ; RECOGNITION OF DATA ; RECORD CARRIERS</subject><creationdate>2021</creationdate><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20210618&DB=EPODOC&CC=CN&NR=112989187A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,780,885,25564,76547</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20210618&DB=EPODOC&CC=CN&NR=112989187A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>YANG DEJIE</creatorcontrib><title>Creation material recommendation method and device, computer equipment and storage medium</title><description>The invention discloses a creation material recommendation method, which is applied to the technical field of artificial intelligence and is used for solving the technical problem of low matching accuracy of material contents searched only through related keywords. 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The method provided by the invention comprises the following steps: extracting corresponding attribute characteristics from own attribute information of a creator according to preset attribute characteristics; carrying out quantitative processing on the extracted attribute feature to obtain a creator attribute feature vector; acquiring stored material information corresponding to the creation theme from a memory; inputting the material information into a word vector model to obtain a material feature vector; transversely splicing the creator attribute feature vector and the material feature vector to obtain a spliced vector; inputting creation materials in a resource library and the splicing vector into a pre-trained deep neural network to obtain a</abstract><oa>free_for_read</oa></addata></record> |
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language | chi ; eng |
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subjects | CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING ELECTRIC DIGITAL DATA PROCESSING HANDLING RECORD CARRIERS PHYSICS PRESENTATION OF DATA RECOGNITION OF DATA RECORD CARRIERS |
title | Creation material recommendation method and device, computer equipment and storage medium |
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