Visual attention has a major impact on how we perceive 3D environments and saliency is component of visual expressing likely scene or item to capture our due its apparent features. Saliency relies upon shape, shading, brightness, other attributes items. The distribution field influenced by the illumination scene, which significant those properties. This work aims control manipulating parameters...

Modeling User Behavior and Attention in Search

Users’ attention was investigated by eye tracking, combined with reported rating of areas of interest, and free recall memory of six operational websites. The sites differed in the pattern of fixations recorded depending on their layout structure. Fixation durations and areas of interest were generally correlated but exceptions were present in both directions. The sites which were rated more at...

Collaborative tagging has recently attracted the attention of both industry and academia due to the popularity of content-sharing systems such as CiteULike, del.icio.us, and Flickr. These systems give users the opportunity to add data items and to attach their own metadata (or tags) to stored data. The result is an effective content management tool for individual users. Recent studies, however,...

Experimenting with a new dataset of 1.6M user comments from a news portal and an existing dataset of 115K Wikipedia talk page comments, we show that an RNN operating on word embeddings outpeforms the previous state of the art in moderation, which used logistic regression or an MLP classifier with character or word n-grams. We also compare against a CNN operating on word embeddings, and a word-l...

Social activity at present requires substantial fraction of time on the web for information dissemination. Content sharing results in a complex interplay between individual and attention received from others. The wide-spread adoption of various technologies leads to new approaches that differ from traditional approaches for information sharing among the communities. The attention of communities...

Training and adaption of employees are time and money consuming. Employees’ turnover can be predicted by their organizational and personal historical data in order to reduce probable loss of organizations. Prediction methods are highly related to human resource management to obtain patterns by historical data. This article implements knowledge discovery steps on real data of a manufacturing pla...