AI-BASED KEYWORK PREDICTIONS FOR TITLES
Systems and methods for managing keyword predictions for proposed titles are provided. In example embodiments, a network system receives, from a user during a publication creation process, a proposed title for a publication associated with an item. The proposed title includes a plurality of tokens,...
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| creator | Fuchs, Gilad Eliyahu Acriche, Yoni |
| description | Systems and methods for managing keyword predictions for proposed titles are provided. In example embodiments, a network system receives, from a user during a publication creation process, a proposed title for a publication associated with an item. The proposed title includes a plurality of tokens, whereby the plurality of tokens comprises at least all non-stock words in the proposed title. Based on the proposed title, the network system identifies an importance of each token of the plurality of tokens in the proposed title. The network system then causes presentation of a user interface that visually indicates the importance of each token of the plurality of tokens in the proposed title. |
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In example embodiments, a network system receives, from a user during a publication creation process, a proposed title for a publication associated with an item. The proposed title includes a plurality of tokens, whereby the plurality of tokens comprises at least all non-stock words in the proposed title. Based on the proposed title, the network system identifies an importance of each token of the plurality of tokens in the proposed title. The network system then causes presentation of a user interface that visually indicates the importance of each token of the plurality of tokens in the proposed title.</description><language>eng</language><subject>CALCULATING ; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS ; COMPUTING ; COUNTING ; ELECTRIC DIGITAL DATA PROCESSING ; PHYSICS</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=20210805&DB=EPODOC&CC=US&NR=2021241073A1$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,776,881,25542,76290</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20210805&DB=EPODOC&CC=US&NR=2021241073A1$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>Fuchs, Gilad Eliyahu</creatorcontrib><creatorcontrib>Acriche, Yoni</creatorcontrib><title>AI-BASED KEYWORK PREDICTIONS FOR TITLES</title><description>Systems and methods for managing keyword predictions for proposed titles are provided. In example embodiments, a network system receives, from a user during a publication creation process, a proposed title for a publication associated with an item. The proposed title includes a plurality of tokens, whereby the plurality of tokens comprises at least all non-stock words in the proposed title. Based on the proposed title, the network system identifies an importance of each token of the plurality of tokens in the proposed title. The network system then causes presentation of a user interface that visually indicates the importance of each token of the plurality of tokens in the proposed title.</description><subject>CALCULATING</subject><subject>COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS</subject><subject>COMPUTING</subject><subject>COUNTING</subject><subject>ELECTRIC DIGITAL DATA PROCESSING</subject><subject>PHYSICS</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2021</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNrjZFB39NR1cgx2dVHwdo0M9w_yVggIcnXxdA7x9PcLVnDzD1II8QzxcQ3mYWBNS8wpTuWF0twMym6uIc4euqkF-fGpxQWJyal5qSXxocFGBkaGRiaGBubGjobGxKkCAHByJLA</recordid><startdate>20210805</startdate><enddate>20210805</enddate><creator>Fuchs, Gilad Eliyahu</creator><creator>Acriche, Yoni</creator><scope>EVB</scope></search><sort><creationdate>20210805</creationdate><title>AI-BASED KEYWORK PREDICTIONS FOR TITLES</title><author>Fuchs, Gilad Eliyahu ; Acriche, Yoni</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_US2021241073A13</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>eng</language><creationdate>2021</creationdate><topic>CALCULATING</topic><topic>COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS</topic><topic>COMPUTING</topic><topic>COUNTING</topic><topic>ELECTRIC DIGITAL DATA PROCESSING</topic><topic>PHYSICS</topic><toplevel>online_resources</toplevel><creatorcontrib>Fuchs, Gilad Eliyahu</creatorcontrib><creatorcontrib>Acriche, Yoni</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Fuchs, Gilad Eliyahu</au><au>Acriche, Yoni</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>AI-BASED KEYWORK PREDICTIONS FOR TITLES</title><date>2021-08-05</date><risdate>2021</risdate><abstract>Systems and methods for managing keyword predictions for proposed titles are provided. In example embodiments, a network system receives, from a user during a publication creation process, a proposed title for a publication associated with an item. The proposed title includes a plurality of tokens, whereby the plurality of tokens comprises at least all non-stock words in the proposed title. Based on the proposed title, the network system identifies an importance of each token of the plurality of tokens in the proposed title. The network system then causes presentation of a user interface that visually indicates the importance of each token of the plurality of tokens in the proposed title.</abstract><oa>free_for_read</oa></addata></record> |
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| subjects | CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING ELECTRIC DIGITAL DATA PROCESSING PHYSICS |
| title | AI-BASED KEYWORK PREDICTIONS FOR TITLES |
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