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Does the Kindle Conform to Chinese Users’ Usage Habits? A Usability Assessment of the Kindle Paperwhite
It is predicted that electronic book readers will become the mainstream of ways of reading in the future, and this sign has been seen in China...
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Tying the System Together
Millions of dollars and a year of our design team’s hard work has been spent, but it was well worth it! The fab has finished and shipped your order –...
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Choice models and recommender systems effects on users’ choices
Nowadays, the users of a web platform, such as a video-on-demand service or an eCommerce site, are routinely using the platform’s recommender system...
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Quaternion-based graph convolution network for recommendation
Graph Convolution Network (GCN) has been widely applied in recommender systems for its representation learning capability on user and item...
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Product recommendation using enhanced convolutional neural network for e-commerce platform
In the present scenario, the product recommendation system is important to boost sales on many e-commerce websites. The majority of the existing...
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trie-nlg: trie context augmentation to improve personalized query auto-completion for short and unseen prefixes
Query auto-completion (QAC) aims at suggesting plausible completions for a given query prefix. Traditionally, QAC systems have leveraged tries...
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CoGCN: co-occurring item-aware GCN for recommendation
Graph convolution networks (GCNs) play an increasingly vital role in recommender systems, due to their remarkable relation modeling and...
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A big data study of language use and impact in radio broadcasting in China
Broadcasting more educating and language-reviving contents are ways radio stations can help revitalize the use of the English language in the Hunan...
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Refined Node Type Graph Convolutional Network for Recommendation
Recently, because of the remarkable performance in alleviating the data sparseness problem in recommender systems, Graph Convolutional (Neural)...
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Evolving Interest with Feature Co-action Network for CTR Prediction
Recently, many deep learning-based models have been successfully applied to click-through rate prediction. However, most previous models focus only...
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Graph Contrastive Learning with Positional Representation for Recommendation
Recently, graph neural networks have become the state-of-the-art in collaborative filtering, since the interactions between users and items...
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ALGCN: Accelerated Light Graph Convolution Network for Recommendation
Recently, Graph Convolutional Network (GCN) has been widely applied in the field of collaborative filtering (CF) with tremendous success, since its...
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Supporting Sequential Memory to Facilitate Reading Comprehension on a Tablet
In recent years, reading through electronic books (e-books) has been increasing, but it is said that the comprehension of the contents is inferior to...
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Explaining sentiment analysis results on social media texts through visualization
Today, Artificial Intelligence is achieving prodigious real-time performance, thanks to growing computational data and power capacities. However,...
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Content Creation: Tips, Tricks, and Info
Social media has been a driving force in marketing and personal development since Myspace. There are a lot of cons involved with social media—data...
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Attentive convolutional neural network with the representation of document and sentence for rating prediction
With the development of the internet and the exploding data, the recommendation algorithm is an effective way to solve information overload has been...
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Read to grow: exploring metadata of books to make intriguing book recommendations for teenage readers
It is clearly established that spending time reading is beneficial for an individual’s development in terms of their social, emotional, and...
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A Novel High-Order Cluster-GCN-Based Approach for Service Recommendation
When exploring high-order neighbors for embedding learning, data sparsity problems in service recommendation system can be compensated via Graph...
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Game-based learning and underachieving students: Replacing the traditional paradigm in Montenegro?
This paper seeks to construct a narrative woven around the academic ventures and tribulations of third-year students who, in their initial university...
