Abstract: Embodiments of the present disclosure relate to a method, system and computer program product for semantic search based on a graph database. In some embodiments, a method is disclosed. According to the method, the user jobs of a user are obtained from a first software product. Based on the user jobs, target test cases are selected from a plurality of test cases associated with the first software product and a second software product. The target test cases are applied to the first software product and the second software product, and in accordance with a determination that a result of applying the target test cases satisfies a predetermined criterion, an instruction is provided to indicate migrating from the first software product to the second software product. In other embodiments, a system and a computer program product are disclosed.

Abstract: A computer-implemented method, system and computer program product for detecting truncation and overlap defects. Location and size information for the elements of the webpage are obtained. An intersection over union (IoU) calculation is performed for two webpage elements using the obtained location and size information for at least one of these webpage elements. Furthermore, the location relationship between these two webpage elements is determined. A table, which defines truncation defect and overlap defect scenarios, is then reviewed to determine if there are any truncation or overlap defects in these two webpage elements using the IoU calculation, the location relationship and the text condition, which indicates whether text is included in one of the two webpage elements. If any truncation or overlap defects are found in the webpage, then such truncation and/or overlap defects are marked on a screen capture of the webpage.

Abstract: A computer-implemented method, system and computer program product for detecting truncation and overlap defects. Location and size information for the elements of the webpage are obtained. An intersection over union (IoU) calculation is performed for two webpage elements using the obtained location and size information for at least one of these webpage elements. Furthermore, the location relationship between these two webpage elements is determined. A table, which defines truncation defect and overlap defect scenarios, is then reviewed to determine if there are any truncation or overlap defects in these two webpage elements using the IoU calculation, the location relationship and the text condition, which indicates whether text is included in one of the two webpage elements. If any truncation or overlap defects are found in the webpage, then such truncation and/or overlap defects are marked on a screen capture of the webpage.

Abstract: A method includes predicting, using a machine learning model and based on a received set of user interactions on keywords appearing in a presentation, a knowledge background of the user indicating the user's degree of understanding of the presentation. The method also includes generating, based on the predicted knowledge background, a message comprising a description of a keyword in the presentation and coordinates where the description is to be positioned in the presentation and communicating the message to a device of the user.

Abstract: Methods and systems for sharing digital media include locating faces within a digital image. Individuals portrayed in the digital image are identified based on the located faces. The identified individuals are added to an access control list for the digital image to enable the identified individuals to access the digital image.

Abstract: Methods and systems for sharing digital media include locating faces within a digital image. Individuals portrayed in the digital image are identified based on the located faces. The identified individuals are added to an access control list for the digital image to enable the identified individuals to access the digital image.

Abstract: Rendering a content item of a social networking system can include dividing, using a processor, a content item into a plurality of sections, determining, using the processor, a score for each of the plurality of sections, and applying, using the processor, a visualization technique to a selected section of the content item based upon the scores of the plurality of sections.

Abstract: Rendering a content item of a social networking system can include dividing, using a processor, a content item into a plurality of sections, determining, using the processor, a score for each of the plurality of sections, and applying, using the processor, a visualization technique to a selected section of the content item based upon the scores of the plurality of sections.

Abstract: Rendering a content item of a social networking system can include dividing, using a processor, a content item into a plurality of sections, determining, using the processor, a score for each of the plurality of sections, and applying, using the processor, a visualization technique to a selected section of the content item based upon the scores of the plurality of sections.

Abstract: Rendering a content item of a social networking system can include dividing, using a processor, a content item into a plurality of sections, determining, using the processor, a score for each of the plurality of sections, and applying, using the processor, a visualization technique to a selected section of the content item based upon the scores of the plurality of sections.