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Graph attention and text semantics improve personalized recommendation. [PDF]
Dong J, Shen Z, Luo H, Lyu T, Gao W.
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New features on yttria‐stabilized zirconia after exposure at 1500°C: Newly discovered pyramidal structures on an old material. After exposure at 1550°C on the cross section of YSZ new features, namely pyramidal structures are discovered. These structures grow with time, increase in numbers, appear as singularities, are often arranged in strings, and ...
Doris Sebold +2 more
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Depth-Dependent Performance of Residual Networks for Low-Count PET Image Restoration Using a Dedicated 3D-Printed Striatum Phantom. [PDF]
Park C, Lee MG, Chae SY.
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Pre-Beta Burst Dynamics in Parkinson's Disease: Distinguishing Signal from Artifact. [PDF]
Abdi-Sargezeh B +7 more
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DeepSentRec: a deep learning-based sentiment-aware product recommendation system. [PDF]
Kollu SRP, Garapati Y.
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Enhancing recommendation diversity and accuracy with product paths and time decay mechanisms. [PDF]
Wang X, Ming W, Fu Z, Ma X.
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Emotion as a cross-layer mechanism in filter bubbles: a social-psychological perspective. [PDF]
He S, Fan Y.
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Evaluation of Risk Factors for Unilateral Aponeurotic Ptosis Using the Fellow Eye as Control: A Retrospective Study. [PDF]
Katsuo A +7 more
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An Information Filtering Approach
2009 Third International Conference on Network and System Security, 2009Web mining is used to automatically discover and extract information from Web-related data source such as documents, services and user profiles. Although standard data mining methods are applied for mining on the web, specific algorithms need to be developed and applied for Web based information processing in Web resources.
Nasim Vatani +2 more
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Information Systems, 2011
The traditional problem of similarity search requires to find, within a set of points, those that are closer to a query point q, according to a distance function d. In this paper we introduce the novel problem of metric information filtering (MIF): in this scenario, each point x"i comes with its own distance function d"i and the task is to efficiently ...
Paolo Ciaccia, Marco Patella
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The traditional problem of similarity search requires to find, within a set of points, those that are closer to a query point q, according to a distance function d. In this paper we introduce the novel problem of metric information filtering (MIF): in this scenario, each point x"i comes with its own distance function d"i and the task is to efficiently ...
Paolo Ciaccia, Marco Patella
openaire +1 more source

