77 results about "Interaction history" patented technology

A search and recommendation system employs the preferences and profiles of individual users and groups within a community of users, as well as information derived from categorically organized content pointers, to augment electronic commerce related searches, re-rank search results, and provide recommendations for commerce related objects based on an initial subject-matter query and an interaction history of a user. The search and recommendation system operates in the context of a content pointer manager, which stores individual users' content pointers (some of which may be published or shared for group use) on a centralized content pointer database connected to a network. The shared content pointer manager is implemented as a distributed program, portions of which operate on users' terminals and other portions of which operate on the centralized content pointer database. A user's content pointers are organized in accordance with a local topical categorical hierarchy. The hierarchical organization is used to define a relevance context within which returned objects are evaluated and ordered.

An approach is provided for generating actionable content ingestion recommendations based on an interaction history that is mined to extract interaction context parameters from questions and answer results that meet specified answer deficiency criteria by searching one or more content sources using the extracted interaction context parameters to identify new content that is relevant to improving the first answer, and then presenting the new content in an actionable content ingestion recommendation list for display and review by a domain expert, where the actionable content ingestion recommendation list recommends the new content for ingestion in a knowledge base corpus.

Systems and methods are disclosed that allow for indexing, processing, or both of information from physical media or electronic media, which may be received from a plurality of sources. In embodiments, a document file may be matched using pattern matching methods and may include comparisons with a comparison reference database to improve or accelerate the indexing process. In embodiments, information may be presented to a user as potential matches thereby improving manual indexing processes. In embodiments, one or more additional actions may occur as part of the processing, including without limitation, association additional data with a document file, making observations from the document file, notifying individuals, creating composite messages, and billing events. In an embodiment, data from a document file may be associated with a key word, key phrase, or word frequency value that enables adaptive learning so that unindexed data may be automatically indexed based on user interaction history.

A method and an apparatus for providing bidirectional communication between a user agent and an Internet Web server. Some applications include user agent initiated on demand access to Web content without requiring a Web page reload, updating of shopping cart information, extension of displayed product information and tracking of user interaction history. Web content can be accessed in response to a user agent detectable event, including such as the selection of a text field or a button. This approach enables user agent resident JAVA script to access and process Web content before it is rendered to a user.

A system and method are disclosed for history management a plurality of objects within an application, wherein each of the plurality includes at least a software method for saving the object's state and a software method for loading the object's state and a history manager function including a software method for recording an application interaction state for each user interaction with the application, wherein the application interaction state comprises the object's state for each of the plurality of objects at a time of the each user interaction with the application, wherein the user selects a desired one of the application interaction states to set the application to a desired one of the user interactions.

Systems and methods are disclosed that allow for indexing, processing, or both of information from physical media or electronic media, which may be received from a plurality of sources. In embodiments, a document file may be matched using pattern matching methods and may include comparisons with a comparison reference database to improve or accelerate the indexing process. In embodiments, information may be presented to a user as potential matches thereby improving manual indexing processes. In embodiments, one or more additional actions may occur as part of the processing, including without limitation, association additional data with a document file, making observations from the document file, notifying individuals, creating composite messages, and billing events. In an embodiment, data from a document file may be associated with a key word, key phrase, or word frequency value that enables adaptive learning so that unindexed data may be automatically indexed based on user interaction history.

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.

A method is provided for creating a portable history data record for a customer by integrating Web cookie data and telephone history data. The method includes the acts (a) retrieving and interpreting the Web cookie data, (b) retrieving and interpreting the telephone history data, (c) combining the data sets into a single data record eliminating redundant data, (d) formatting the data record for human or for machine interpretation, and (e) presenting the formatted data record to a point of service during or just ahead of an associated interaction event.

An approach is provided for automatically ingesting additional corpus based on an interaction history that is mined to identify a question that meets specified answer deficiency criteria, and then generate a second question which is correlated to the first question by requesting additional answer information for answering the first question, where the second question is posted to a forum using a selected persona so that forum responses can be monitored and ingested as additional content in the knowledge base.

One embodiment sets forth technique for computing a similarity score between two digital items is computed based on interaction histories associated with global users and interaction histories associated with local users. Global counts indicating the number of interactions associated with each unique pair of digital items are weighted based on a mixing rate. The weighted global counts are then combined with local counts to compute total counts. An effective interaction probability indicating the likelihood of a user interacting with one digital item in the pair of digital items after interacting with the other digital item in the pair is computed based on the total counts. The effective interaction probability is then corrected for noise, resulting in a similarity score indicating the similarity between the pair of digital items.

The invention discloses a data searching method and device based on interactive input and belongs to the technical field of data searching. The data searching methods includes: analyzing the information and label operation input by the current user through the ways of texts, voice or gesture and determining the user intention based on interaction history and user input of the current round; calculating the attribute label confidence according to the interactive history and the current round of the user intention and distinguishing the confirmed attribute label and the unconfirmed attribute label; displaying the confirmed attribute label, the unconfirmed attribute label and the searching result; and conducting the next round of interaction when the data searching is detected to be unfinished. When multiple rounds of interactive searching are conducted, the attribute label is dynamically generated and displayed so that the user can intuitively know the searching property used by the searching system and change and delete the searching attribute more conveniently.

The invention relates to a method and a system for automatically realizing data visualization, and belongs to the field of visualization and visual analysis. The method comprises the following steps that: a user firstly selects a database and a form which carry out searching, observes the distribution situation of each dimension and determines the change of a data model to form a new data model, wherein the change of the data model comprises the increase, the deletion and the revision of the dimension; then, the certain dimension or the dimension combination of the data is globally or partially filtered to obtain a data subset; and the user selects the dimension or the dimension combination which needs to be visualized, and connects the dimension or the dimension combination with a visualization module to obtain a corresponding visualization result. In the above steps, the system collects the interaction sequence of the user, stores the interaction sequence into a user interaction historical database, carries out matching according to interaction history and recommends a possible visualization construction process. By use of the method, a tool capable of supporting the user to construct a visual integral process can be provided, and the method has the advantages of high flexibility and high automation degree.

An approach is provided for generating actionable content ingestion recommendations based on an interaction history that is mined to extract interaction context parameters from questions and answer results that meet specified answer deficiency criteria by searching one or more content sources using the extracted interaction context parameters to identify new content that is relevant to improving the first answer, and then presenting the new content in an actionable content ingestion recommendation list for display and review by a domain expert, where the actionable content ingestion recommendation fist recommends the new content for ingestion in a knowledge base corpus.

A computer extracts from contact records that each include a contact identifier, a group identifier for each group with which the contact has had an interaction, and interaction information that indicates a number of interactions and a timing of a most recent interaction. The contact data records are processed to generate a contact profile record for each contact including group metric values and a corresponding value for each group metric value based on an interaction history of groups the contact has interacted with. A set of contact profile records is stored in interaction analytics databases. The computer generates group profile records for groups that include metric values associated with the group and an interaction history. They are compared with at least thousands of the contact profile records to calculate group-contact compatibility factors. A compatibility parameter is generated and communicated for each of at least thousands of contacts based on the group-contact compatibility parameters.

A history information storage unit accumulates an interaction history which corresponds to each interaction session performed by a communication terminal and which at least contains the other-party user ID and the other-party terminal ID. If User A, who is interacting with the terminal b1 of User B, sends from the terminal 1a an interaction history request containing the ID of User B and the IDs of the other terminals a2 to an owned by User A, a history information computation unit searches, from the history information storage unit, the interaction histories for each interaction session respectively corresponding to the IDs of terminals a2 to an specified in the interaction history request to retrieve and send to the requesting terminal 1a interaction history containing the other-party user identifier matching the ID of User B.

A system and method for providing a demand driven promotion system supporting social networking and searching, substantially as shown in and/or described in connection with at least one of the figures, as set forth more completely in the claims.

The invention discloses an interpretability recommendation method based on a knowledge graph path. The method comprises the steps of obtaining the interaction history of a user, taking the interactionhistory as a seed set of a knowledge graph, and obtaining a user-from the seed set; on the premise that a seed set is obtained, constructing a triad query corresponding to a knowledge graph on the seed set, extracting triads, generating a path representation through semantics of combined entities and relations in triad information, and conducting the reasoning process according to paths to deduceuser preferences; after the determination of a triple path, querying other paths from the head entity to the tail entity of the path on the premise of limiting the length of the path to be 4, and representing the paths by using a plurality of triples; after the finding of multiple paths, performing pool operation on each path to distinguish contributions of different paths to prediction recommendation; and selecting the path with the maximum contribution score to carry out interpretive recommendation on the user. The method is high in recommendation precision, and the problem of opaqueness ofrecommendation is solved.