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Collaborative Filtering and Content-Based Systems
In this chapter, the two most widely used types of recommender systemsRecommender system, namely the collaborative filteringCollaborative filtering...
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‘HOAXIMETER’—An Effective Framework for Fake News Detection on the World Wide Web
Fake news and misinformation have become a serious predicament, especially, in recent times as it has become easier to spread and harder to...
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Automatic text summarization for government news reports based on multiple features
The purpose of government news summarization is to extract the most important information from official government news reports. It is important for...
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Spatial-aware topic-driven-based image Chinese caption for disaster news
Automatically generating descriptions for disaster news images could effectively accelerate the spread of disaster message and lighten the burden of...
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A Study of Chinese News Headline Classification Based on Keyword Feature Expansion
Existing work generally classifies news headlines as a matter of short text classification. However, due to the strong domain nature and limited text...
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Enhancing the accuracy of collaborative filtering based recommender system with novel similarity measure
One of the most effective and extensively used recommendation technique is collaborative filtering. Based on related users or items, collaborative...
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Dual channel group-aware graph convolutional networks for collaborative filtering
Among the existing collaborative filtering approaches, graph-based collaborative filtering models that adopt graph convolutional networks for...
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FakEDAMR: Fake News Detection Using Abstract Meaning Representation Network
Given the rising prevalence of disinformation and fake news online, the detection of fake news in social media posts has become an essential task in...
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Detection and context reconstruction of sub-events that influence the course of a news event from microblog discussions
Social media has become an inevitable part of human communication and the primary source for reading and tracking news events. Most news events...
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Text segmentation by integrating hybrid strategy and non-text filtering
The text embedded in images provides important information for image understanding. Text segmentation is an essential step for text recognition. It...
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Candidate-Aware Attention Enhanced Graph Neural Network for News Recommendation
Facing the daily explosive growth of the news quantity, personalized news recommendation for users becomes an increasingly challenging problem....
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News loopholing: Telegram news as portable alternative media
This paper deals with foreign state-run media outlets that disseminate Persian language news targeted to the Iranian public. More specifically, it...
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DeBERTNeXT: A Multimodal Fake News Detection Framework
With the ease of access and sharing of information on social media platforms, fake news or misinformation has been spreading in different formats,...
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A Multiple change-point detection framework on linguistic characteristics of real versus fake news articles
Extracting information from textual data of news articles has been proven to be significant in develo** efficient fake news detection systems....
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Modeling Users’ Localized Preferences for More Effective News Recommendation
During the past two decades, Local newspapers have been experiencing major declines in readership due to the proliferation of national and global...
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Housing market trends: analyzing housing dynamics, evaluating mortgage risk, and understanding the impact of filtering on affordability
Since 2012, the AEI Housing Center has been a leader in cutting-edge data and research on numerous housing market metrics such as mortgage risk,...
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Automatic content curation of news events
With the rapid development of the internet, a large amount of online news has brought readers a variety of information. Some important events last...
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StoryLens: Personalizing News Recommendations for Older Adults with Their Life Stories
Personalizing news recommendations for older adults using their life stories has the potential to enhance their social connectedness, cognitive...
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Political audience diversity and news reliability in algorithmic ranking
Newsfeed algorithms frequently amplify misinformation and other low-quality content. How can social media platforms more effectively promote reliable...
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A framework of fake news detection on web platform using ConvNet
Social media and web have become popular platforms of information sharing, knowledge gathering, expressing sentiments, perceiving choices regarding...
