The present disclosure discloses an information presenting method, terminal device, server and system. The method applies to a server providing an online streaming media playing service. When providing the online streaming media playing service for a terminal device, the method includes: determining whether the terminal device is to present information presentation; when determining that the terminal device is to present the information, sending a presentation time parameter to the terminal device, so that the terminal device presents the information in a time range indicated by the presented time parameter.

The present disclosure discloses an information presenting method, terminal device, server and system. The method applies to a server providing an online streaming media playing service. When providing the online streaming media playing service for a terminal device, the method includes: determining whether the terminal device is to present information presentation; when determining that the terminal device is to present the information, sending a presentation time parameter to the terminal device, so that the terminal device presents the information in a time range indicated by the presented time parameter.

The described technology is directed towards data-driven navigation, in which a next navigation location depends on variable data associated with an interactive user interface element (rather than a fixed link). The data may be in a hierarchy of data models. A menu contains interactive navigation elements, each bound to a data model. A selected interactive navigation element results in locating a data model associated with the selected element. The data model is used to determine the next navigation location. Also described is hierarchical navigation to one item of a level as well as lateral and peer navigation.

The described technology is directed towards data-driven navigation, in which a next navigation location depends on variable data associated with an interactive user interface element (rather than a fixed link). The data may be in a hierarchy of data models. A menu contains interactive navigation elements, each bound to a data model. A selected interactive navigation element results in locating a data model associated with the selected element. The data model is used to determine the next navigation location. Also described is hierarchical navigation to one item of a level as well as lateral and peer navigation.

There is provided a method for searching a plurality of information sources using a multimedia element, the method may include receiving at least one multimedia element; generating, by a signature generator, for the at least one multimedia element at least one signature that is unidirectional, and yields compression; generating at least one textual search query using the at least one signature; wherein the generating of the textual search query comprises: (a) searching for at least one matching stored signature that matches one or more of the at least one signature; and (b) using a mapping between stored signatures and textual search queries, selecting at least one textual search query mapped to at least one matching stored signature; searching the plurality of information sources using the at least one textual search query; and causing a display of search results retrieved from the plurality of information sources.

There is provided a method for searching a plurality of information sources using a multimedia element, the method may include receiving at least one multimedia element; generating, by a signature generator, for the at least one multimedia element at least one signature that is unidirectional, and yields compression; generating at least one textual search query using the at least one signature; wherein the generating of the textual search query comprises: (a) searching for at least one matching stored signature that matches one or more of the at least one signature; and (b) using a mapping between stored signatures and textual search queries, selecting at least one textual search query mapped to at least one matching stored signature; searching the plurality of information sources using the at least one textual search query; and causing a display of search results retrieved from the plurality of information sources.

Techniques are provided for using machine learning techniques to associate skills with different content. In one technique, multiple classifications models are trained. Each classification model corresponds to a different skill and is trained based on textual embeddings of a plurality of content items and labels indicating whether each content item is associated with the skill that corresponds to that classification model. A particular content item embedding is generated based on text from a particular content item. The particular content item embedding is applied to the classification models to generate multiple results. One or more results of the multiple results are identified that indicate that one or more corresponding skills are associated with the particular content item. For each result of the one or more results, skill tagging data are stored that associate the particular content item with a particular skill that corresponds to that result.

Techniques are provided for using machine learning techniques to associate skills with different content. In one technique, multiple classifications models are trained. Each classification model corresponds to a different skill and is trained based on textual embeddings of a plurality of content items and labels indicating whether each content item is associated with the skill that corresponds to that classification model. A particular content item embedding is generated based on text from a particular content item. The particular content item embedding is applied to the classification models to generate multiple results. One or more results of the multiple results are identified that indicate that one or more corresponding skills are associated with the particular content item. For each result of the one or more results, skill tagging data are stored that associate the particular content item with a particular skill that corresponds to that result.

A content provision system in which a script that is generated by a creator and includes identification information of content and comment information is stored in a predetermined storage medium to be browsable by a user, the content providing system including a control unit that performs control to execute reading, according to a script selected by the user, content indicated by content identification information included in the script by using a right that the user has already acquired by a contract with a specific service, and provide the content to the user, and control to read a comment according to the comment information included in the script and provide the comment to the user at least one of before or after the provision of the content.

The current invention concerns a computer-implemented method, a computer system, and a computer program product for the semantic classification of an entity in a building information model (BIM). The BIM comprises multiple target entities. Update data is obtained. For each target entity, geometric information about the target entity is obtained from the BIM. For each target entity, an initial probability distribution of semantic classification is determined based on the obtained geometric information about the target entity. Relative geometric information about the target entities is obtained from the BIM. For each target entity, an updated probability distribution of semantic classification is determined based on the obtained relative geometric information, the initial probability distributions of all target entities, and the update data. For each target entity, a semantic classification is selected based on the updated probability distribution of the target entity.