A hardware media items scheduling and packaging system, which schedules and distributes channels to be viewed on a plurality of consumer devices, extracts contextual data from program-specific information associated with programming media content of a channel received from a distribution source device. A plurality of potential non-programming media items is determined for a plurality of users based on a match between a sentiment type of each of a plurality of non-programming media items and the extracted contextual data. Based on at least the extracted contextual data and the sentiment type of each of the plurality of potential non-programming media items, a plurality of candidate spots in the programming media content is determined. Based on at least a set of constraints and user estimation data associated with the plurality of users, a schedule of non-programming media item(s) is dynamically generated for at least one candidate spot in the programming media content.

The presently disclosed embodiments may include a computer readable medium including instructions that when executed by one or more processing devices cause the one or more processing devices to perform a method. The method may include: analyzing an electronic document text; identifying in the electronic document text a first drafted text element to be modified; causing the first drafted text element to be highlighted to a user on a display; generating at least one text output option that conveys a meaning associated with the first drafted text element but includes one or more changes relative to the first drafted text element; and causing the at least one text output option to be shown to the user via the display.

The presently disclosed embodiments may include a computer readable medium including instructions that when executed by one or more processing devices cause the one or more processing devices to perform a method. The method may include: analyzing an electronic document text; identifying in the electronic document text a first drafted text element to be modified; causing the first drafted text element to be highlighted to a user on a display; generating at least one text output option that conveys a meaning associated with the first drafted text element but includes one or more changes relative to the first drafted text element; and causing the at least one text output option to be shown to the user via the display.

An objective of the present disclosure is to allow a situation in a conversation of a user to be recognized as a context and allow an item appropriate for the situation to be presented. An information recommendation device according to the present disclosure includes a context extraction module 24 that extracts, from the conversation of the user, a keyword representing a topic, a similarity determination module 31 that refers to a knowledge base 13 storing recommended items linked to communication contexts each including the keyword to extract the recommended items and the communication contexts that are linked to the extracted keyword and selects, from among the extracted communication contexts, the communication context similar to the topic, and an information search module 32 that acquires, from the knowledge base 13, the recommended item linked to the selected communication context.

An objective of the present disclosure is to allow a situation in a conversation of a user to be recognized as a context and allow an item appropriate for the situation to be presented. An information recommendation device according to the present disclosure includes a context extraction module 24 that extracts, from the conversation of the user, a keyword representing a topic, a similarity determination module 31 that refers to a knowledge base 13 storing recommended items linked to communication contexts each including the keyword to extract the recommended items and the communication contexts that are linked to the extracted keyword and selects, from among the extracted communication contexts, the communication context similar to the topic, and an information search module 32 that acquires, from the knowledge base 13, the recommended item linked to the selected communication context.

An architecture for semantic search over encrypted data that improves upon existing encrypted data search techniques by providing a solution that is space-efficient on both the cloud and client sides, considers the semantic meaning of the user's query, and returns a list of documents accurately ranked by their similarity to the query. Different search schemes are presented based on S3C architecture (namely, FKSS, SKSS, and KSWF) that are fine-tuned for different types of datasets. The system requires only a single plaintext query to be entered and is easily portable to thin-clients, making it simple and quick for users to use. The system is also shown to be secure and resistant to attacks.

A system for conducting a search of dual databases for conducting a dual search, where at least two databases are searched simultaneously by entering a single search term comprising a processor and a memory to store a set of instructions wherein the processor accesses the instructions to receive a search term by a program, dissect the search term into its component parts using a dictionary algorithm, form a first search term having a first format of the first search term, form a second search term with a second format of the second search term, use the first search term to search a first database and saving a first result, use the second search term to search a second database and saving a second result and combine the first and second results in a single display page.

A system for conducting a search of dual databases for conducting a dual search, where at least two databases are searched simultaneously by entering a single search term comprising a processor and a memory to store a set of instructions wherein the processor accesses the instructions to receive a search term by a program, dissect the search term into its component parts using a dictionary algorithm, form a first search term having a first format of the first search term, form a second search term with a second format of the second search term, use the first search term to search a first database and saving a first result, use the second search term to search a second database and saving a second result and combine the first and second results in a single display page.

Setting or verification of a monitoring rule in response to a monitoring target environment is supported. An information processing system includes a situation information receiving unit that receives an input of situation information indicating a situation in a monitoring target environment. The information processing system further includes a normal situation storage unit. The normal situation storage unit stores environment information indicating the monitoring target environment in association with a set of situation information indicating a situation that is not abnormal in the monitoring target environment. The information processing system further includes a retrieval unit. The retrieval unit refers to the normal situation storage unit upon receiving the input of the situation information indicating the information in the monitoring target environment. The retrieval unit then retrieves the environment information associated with the set of the situation information that does not include the input situation information.

Setting or verification of a monitoring rule in response to a monitoring target environment is supported. An information processing system includes a situation information receiving unit that receives an input of situation information indicating a situation in a monitoring target environment. The information processing system further includes a normal situation storage unit. The normal situation storage unit stores environment information indicating the monitoring target environment in association with a set of situation information indicating a situation that is not abnormal in the monitoring target environment. The information processing system further includes a retrieval unit. The retrieval unit refers to the normal situation storage unit upon receiving the input of the situation information indicating the information in the monitoring target environment. The retrieval unit then retrieves the environment information associated with the set of the situation information that does not include the input situation information.