Extending recommendation algorithms bymodeling user context
Recommender systems have been widely adopted by onlinee-commerce websites like Amazon and music streaming services like Spotify. However, most research efforts have not sufficiently considered the context in which recommendations are made, especially when the input is implicit.
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Crop phenotype prediction using SNP context and whole-genome feature embedding based on DNABERT-2. [PDF]
Li H +11 more
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A short text entity disambiguation method based on BERT model and shortest path algorithm. [PDF]
Liu X +8 more
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Toward a Clearer Process for Value Sensitive Artificial Intelligence. [PDF]
Cociancig C, Heuer H.
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Re-establishing control limits in statistical process control analyses: the stable shift algorithm. [PDF]
Woodcock T, O'Connor I, Bell D.
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Bridging Integrative Medicine and AI: A Zhuangzian Perspective. [PDF]
Cordeiro-Rodrigues L +2 more
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AI-powered TargetMap: Enabling system-level target discovery through full-path reasoning on a unified knowledge graph. [PDF]
Jin X +10 more
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Context-Based Algorithm for Face Detection
Face detection has been a research area for more than ten years. It is a complex problem due to the high variability in faces and amongst faces; therefore it is not possible to extract a general pattern to be used for detection. This is what makes the face detection problem a challenge.
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Contextual inference through flexible integration of environmental features and behavioural outcomes. [PDF]
Passlack J, MacAskill AF.
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Perceived credibility and social competence of chatbots in mental health apps and the influence of algorithm literacy. [PDF]
Grub MF, Naab TK.
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