Abstract: The present teaching relates to matching users with items. In one example, information related to one or more users is obtained from one or more sources including an online source. The information is transformed into one or more psychological needs of each user. One or more items are obtained. Each item is associated with abilities to satisfy one or more psychological needs. The one or more users are matched with the one or more items based on the users' psychological needs and the items' abilities to satisfy psychological needs to generate a matching result. The matching result is provided.

Abstract: The present teaching relates to obtaining information from a user via a bot. In one example, a request is obtained to collect information in connection with a user. A statement is generated to be expressed to the user for facilitating a conversation between the user and the bot based on the request. Information is received in connection with the user and collected during the conversation. The collected information characterizes the user in a plurality of modalities. The collected information is automatically analyzed in the plurality of modalities to obtain an assessment of one or more human traits of the user. A plurality of result summaries are generated based on the assessment. The plurality of result summaries are provided in response to the request.

Abstract: The present teaching relates to obtaining information from a user via a bot. In one example, a request is obtained to collect information in connection with a user. A statement is generated to be expressed to the user for facilitating a conversation between the user and the bot based on the request. Information is received in connection with the user and collected during the conversation. The collected information characterizes the user in a plurality of modalities. The collected information is automatically analyzed in the plurality of modalities to obtain an assessment of one or more human traits of the user. A plurality of result summaries are generated based on the assessment. The plurality of result summaries are provided in response to the request.

Abstract: The present teaching relates to matching users with items. In one example, information related to one or more users is obtained from one or more sources including an online source. The information is transformed into one or more psychological needs of each user. One or more items are obtained. Each item is associated with abilities to satisfy one or more psychological needs. The one or more users are matched with the one or more items based on the users' psychological needs and the items' abilities to satisfy psychological needs to generate a matching result. The matching result is provided.

Abstract: The present teaching relates to personifying a brand. In one example, information associated with a brand is received. Based on the received information, data related to the brand is retrieved. The data includes information indicative of desired market impression associated with the brand. The data is transformed to derive at least one brand persona that characterizes the brand based on the information.

Abstract: The present teaching relates to characterizing a user's reputation. In one example, information related to a plurality of users is obtained from one or more sources. The information is obtained with respect to at least one type of online activity. The information is transformed into one or more human traits of the plurality of users. Each human trait for each of the plurality of users is estimated based at least partially on the information related to the user. Each human trait is associated with at least one score. A reputation of a user included in the plurality users is estimated with respect to the user's one or more human traits, based on at least one score associated with each of one or more human traits of the user and at least one score associated with each of the one or more human traits of the plurality of users.

Abstract: Embodiments relate to interacting with a collection of user opinion documents associated with a topic. One aspect includes obtaining opinion data for the collection of opinion documents associated with the topic. The opinion data includes one or more features discussed in the opinion documents, one or more key phrases included in each feature, one or more text snippets included in each feature, and at least one sentiment expressed in each text snippet. A visual interface is provided in which a feature summary view of the opinion documents acts a top level of a navigational hierarchy. The visual interface allows user navigation from the top level to a lower level of the navigational hierarchy in order to display more details about a text snippet, as compared to the feature summary view, while continuing to provide the feature summary view.

Abstract: Embodiments relate to interacting with a collection of user opinion documents associated with a topic. One aspect includes obtaining opinion data for the collection of opinion documents associated with the topic. The opinion data includes one or more features discussed in the opinion documents, one or more key phrases included in each feature, one or more text snippets included in each feature, and at least one sentiment expressed in each text snippet. A visual interface is provided in which a feature summary view of the opinion documents acts a top level of a navigational hierarchy. The visual interface allows user navigation from the top level to a lower level of the navigational hierarchy in order to display more details about a text snippet, as compared to the feature summary view, while continuing to provide the feature summary view.

Abstract: An intelligent content assistance system generates context-sensitive content recommendation during business processes. Information needs of a user in context are dynamically monitored and detected. Content-recommendation templates are retrieved to match the detected information needs, and instantiated using information from user input, context, interaction history, system-learned query and content models, and external sources. Context, interaction history, and system-learned models are dynamically updated for learning and adaptation. The system and methods are applicable to multiple domains and applications.

Abstract: A method and apparatus of animation planning for a dynamic graph is provided. A first method includes grouping changed nodes into atomic partitions according to the relationships between the changed nodes and existing nodes. The next step is clustering the atomic partitions according to clustering distances between the atomic partitions to generate a running list for planning animation of node changes in the dynamic graph. The running list includes elements selected from the group consisting of clusters of atomic partitions and atomic partitions. The present invention is able to plan a multi-stage animation demonstration of changes of a dynamic graph and has a improved readability and animation speed.

Abstract: A method and system of producing a visual text summarization. According to the method, a plurality of topics may be extracted from a collection of text documents, where each of the topics comprises a distribution of topic keywords. An importance ranking for each of the topics may be determined, and an importance ranking for each of the topic keywords of a topic may also be determined. A graph may be displayed having a plurality of stacked layers representing a group of topics selected from the plurality of topics based on the importance ranking of the topics. A keyword cloud within each layer of the graph may also be displayed, where the one keyword cloud is a group of topic keywords selected from the extracted topic keywords based on the importance ranking of the extracted topic keywords.

Abstract: A method and apparatus of animation planning for a dynamic graph is provided. A first method includes grouping changed nodes into atomic partitions according to the relationships between the changed nodes and existing nodes. The next step is clustering the atomic partitions according to clustering distances between the atomic partitions to generate a running list for planning animation of node changes in the dynamic graph. The running list includes elements selected from the group consisting of clusters of atomic partitions and atomic partitions. The present invention is able to plan a multi-stage animation demonstration of changes of a dynamic graph and has a improved readability and animation speed.

Abstract: An intelligent content assistance system generates context-sensitive content recommendation during business processes. Information needs of a user in context are dynamically monitored and detected. Content-recommendation templates are retrieved to match the detected information needs, and instantiated using information from user input, context, interaction history, system-learned query and content models, and external sources. Context, interaction history, and system-learned models are dynamically updated for learning and adaptation. The system and methods are applicable to multiple domains and applications.

Abstract: A technique is provided for generating automated graphics in response to a user request. A measure of similarity between the user request and one or more stored graphics examples is determined. At least one stored graphics example is obtained based on the similarity measure. Graphics are created from the at least one obtained graphics example and the user request.