2020
DOI: 10.32604/cmc.2020.09907
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Personalized News Recommendation Based on the Text and Image Integration

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Cited by 7 publications
(6 citation statements)
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“…Web classification [1] is the process of assigning websites to one or more classification labels. Web classification plays an important role in content recommendation [2][3][4] and contextual search [5][6][7][8]. According to different types of classification label, web classification can be divided into different classification problems such as topic classification [9,10] and genre classification [11,12].…”
Section: Introductionmentioning
confidence: 99%
“…Web classification [1] is the process of assigning websites to one or more classification labels. Web classification plays an important role in content recommendation [2][3][4] and contextual search [5][6][7][8]. According to different types of classification label, web classification can be divided into different classification problems such as topic classification [9,10] and genre classification [11,12].…”
Section: Introductionmentioning
confidence: 99%
“…For use in a variety of internet-of-things (IoT) applications, Singh et al [55] developed a model known as an extreme learning machine (ELM). Yang et al [59] analyzed both the text and the images and then used the adaptive tag (AT) algorithm to derive user-interested tags. The Text Image-CNN model proposed by Yang et al [60] gathers information that is both overt and covert from both the text and the images to identify instances of fake news.…”
Section: Multimodal Fake News Detectionmentioning
confidence: 99%
“…In formula (7), the number of occurrences of the word i in document d is represented by TF i,d , its inverse document frequency is represented by IDF i , and the inverse document frequency is used to measure whether a word is a stop word and other words that have no effect on the meaning of the sentence. In theory, the more times a word appears in an article, the more important the word is, but there are too many stop words.…”
Section: Building a Personalized News Recommendation Modelmentioning
confidence: 99%
“…At present, in the process of developing e-commerce activities, the recommendation system under the condition of information overload will be applied, while there are few personalized recommendation systems for news. However, as news is an indispensable part of daily life, the update speed of network news is extremely fast, which leads to users' inability to accurately nd the required information in a large amount of information [7][8][9]. erefore, personalized recommendation for news is of great signi cance.…”
Section: Introductionmentioning
confidence: 99%