Abstract: Techniques are disclosed for dynamically generating a data set representative of search results in response to a query and using the data set to accurately rank search results in response to a domain specific search query. Upon receiving the search query, features of the query and features of each search result are extracted. A relevance ranking may be assigned to each search result based on a comparison of the features of the query and each search result. The relevance ranking of each search result may be adjusted based on metrics related to user interactions. A data set may be created which includes the query, search results, extracted features, and metrics. The data set may be used to train a machine learning model to accurately determine a ranking of search results in response to a subsequent search query.

Abstract: A method, an image processing device, and a display system for power-constrained image enhancement are proposed. The method is applicable to an image processing device and includes the following steps. First, an input image is received and inputted into a power-constrained sparse representation (PCSR) model, where the PCSR model is associated with a sparse representation model and a power-constraint model, where the sparse representation model is associated with an over-complete dictionary and sparse codes, and where the power-constrained model is associated with pixel intensities of the input image and a gamma correction value of a display Next, a reconstructed image outputted by the PCSR model is obtained and displayed on the display.

Abstract: A robot swing structure uses a swing bracket to be in combination with a curved rack, and a transmission gear of a power mechanism to be in engagement with the curved rack. Whereby, when a first end of the curved rack is positioned at the transmission gear, the curved rack and swing bracket are allowed to be swung to incline downward (as if the robot head lowers or bows); when a second end of the curved rack is positioned at the transmission gear, the curved rack and swing bracket are allowed to be in a transverse state; and when a stop section of the curved rack is positioned at the transmission gear, the curved rack and swing bracket are allowed to be in a upright state, thereby making the curved rack and swing bracket to have three swing stopping states.

Abstract: Method and apparatus for providing personalized self-help experience in online application. A predictive model is trained to learn a relationship between one or more user features and one or more tags using historical user feature data. High-dimensional vectors representing each of a plurality of questions are generated and stored in the lookup table. The trained predictive model outputs tags probabilities from the incoming user data, using the learned relationship. A user high-dimensional vector is formed based on the tags probabilities. Similarity metrics are calculated between the high-dimensional vector for the respective question and the user high dimensional vector. One or more of the most relevant question titles are returned to a client device for presentation to a user.