International Business Machines Corporation

Google Inc.

Jeffrey William Nichols

Jalal U Mahmud

Tessa Ann Lau

Michelle Xue Zhou

Nimrod Megiddo

Clemens Drews

John Joseph Barton

Christian Robertson

Julian Ariel Cerruti

Guillermo Manzato

Emily Shack

Mateo Nicolas Bengualid

Daniel Aaron Afergan

Zhigang Hua

Shumin Zhai

Thomas Schaeck

Lin Luo

Jeffrey Scott Pierce

Saleema Amin Amershi

James Lin

Chang Yan Chi

Jilin Chen

Min Yin

Allen Cypher

Qinying Liao

Ying-xin Pan

Jeffrey Wong

Heather Rachelle Wiltse

Emily Rebecca Shack

An automated interface generates a tree of design actions based on a predetermined design specification, each intermediary node of the tree representing a partial user interface design, and each branch of the tree representing a design action that creates or modifies the partial user interface design. A plurality of candidate user interface designs are determined, each implementing the received plurality of functions, by traversing the tree along multiple traversal paths from a root node of the tree to respective leaf nodes of the tree and executing respective design actions represented by branches along the traversal paths. A completed interface design is selected from the plurality of completed interface designs, and the final user interface is generated based on the selected candidate user interface design.

Automated interface design

Automated processing of web tasks provides information relevant to user tasks based on past user actions and web histories. Automating the processing of tasks includes receiving a task which may be sent from a system such as a short messaging system (SMS), an email system, or a telephone system. Command information is extracted from the task. A sequence of actions is generated to accomplish the task including a combined script. The script may be based on past user actions, logs, and web browsing histories. The sequence of actions is executed to return information relevant to the task.

Automating web tasks based on web browsing histories and user actions

In an aspect of the invention, a method of communication comprises: establishing an asynchronous communication stream between a first user and a second user; and sending clipped dynamic content from the second user to the first user via the asynchronous communication stream, the clipped dynamic content selected and extracted from a web page by the second user.

Hybrid synchronous/asynchronous means for sharing user interactions across multiple devices

An automated interface generates a tree of design actions based on a predetermined set of functions and relationship information, each intermediary node of the tree representing a partial user interface design, and each branch of the tree representing a design action that creates or modifies the partial user interface design. A plurality of candidate user interface designs are determined, each implementing the received plurality of functions, by traversing the tree along multiple traversal paths from a root node of the tree to respective leaf nodes of the tree and executing respective design actions represented by branches along the traversal paths. A completed interface design is selected from the plurality of completed interface designs based on a predetermined selection algorithm, and the final user interface is generated based on the selected candidate user interface design.

Embodiments of the invention relate to generating automated web task procedures from an analysis of web history logs. One aspect of the invention concerns a method that comprises identifying sequences of related web actions from a web log, grouping each set of similar web actions into an action class, and mapping the sequences of related web actions into sequences of action classes. The method further clusters each group of similar sequences of action classes into a cluster, wherein relationships among the action classes in the cluster are represented by a state machine, and generates automated web task procedures from the state machine.

Automated web task procedures based on an analysis of actions in web browsing history logs

Embodiments of the invention relate to user identification in social media for task performance based on past usage and traits. One embodiment includes identifying users of a social media platform for ability of performing a task. Readiness scores are predicted based on past usage of the social media platform. A predicted readiness score includes a value corresponding to whether a user is predicted to be ready for performing the task. Users that are ready to perform the task are determined based on comparing the readiness scores with a threshold. Willingness scores for performing the task by the users determined to be able and ready to perform the task are determined. A willingness score includes a value corresponding to whether a user is estimated to be willing for performing the task. Users that are willing to perform the task are determined based on comparing the willingness scores with a threshold.

Identification for performing tasks in open social media

Embodiments of the invention relate to the automated processing of web tasks to provide information relevant to user tasks based on past user actions and web histories. An aspect of the invention includes a system for automating the processing of web tasks in response to user requests. The system may include a transport router that receives a user task from a transport such as a short messaging system (SMS), an email system, or a telephone system. The system may further include a web task synthesizer that generates a sequence of actions to accomplish the task, typically in the form of a script for execution by a browser automation server. The script is based on past user actions, logs, and web browsing histories. The system compiles the most relevant information from the visited web pages and returns the results to the user.

Embodiments relate to optimizing user response rate in social media. One embodiment includes generating a model for modeling a likelihood of social media user response from data collected from social media based on social media user filtering criteria and historical information. Modeling the likelihood includes estimating ability of social media users to perform a particular task based on social media user information including tracking of the social media users, evaluating previous task responses and personality features. Social media users are selected based on estimated ability to perform the particular task for maximizing a response rate.

Optimizing user selection for performing tasks in social networks

Embodiments of the invention relate to predicting user activity in a social media application. In one embodiment, user activity information is collected for a user from a social media application and activity features of the user are determined, based on the collected activity information for the user. Then a model is created to predict a future activity of the user in the social media application. The model uses the determined activity features of the user and results obtained from running the created model, to determine future activity of the user in the social media application.

Predicting user activity in social media applications

Embodiments of the invention relate to optimizing user response rate in social media. One embodiment includes generating a statistical model for modeling a likelihood of social media user response from data collected from social media using a set of available features. The social media users are ranked in an estimation set based on the statistical model. The ranked social media users are placed in a rank ordered list. A sub-interval on the rank ordered list is selected for maximizing the response rate.

Embodiments include a program product and a method for providing responses to questions provided on a social media site. The method includes receiving, via a processor, a user question from a social networking site and decomposing and filtering the user question so that it can be further analyzed. The method also includes generating a list of most closely matched potential responders based on analysis of the user question and sending the most closely matched potential responders the user question. Upon receiving responses back from the most closest matched potential responders, these responses are aggregated by the processor in a final response format.

Integrating smart social question and answers enabled for use with social networking tools

Various embodiments relate to estimating the location of social network users. In one embodiment, a plurality of social media messages generated by a given user is received. A plurality of location features is extracted from the social media messages. Each of the location features is processed with at least one classifier from an ensemble of classifiers. A location classification is generated by each of the classifiers for each of the social media messages. Each classification comprises a location and a weight associated with that location. One of the locations is selected from the location classifications as the location of the given user based on a combination of the weights of the location classifications.

Location estimation of social network users

Various embodiments of the invention relate to estimating the location of social network users. In one embodiment, a plurality of social media messages generated by a given user is received. A plurality of location features is extracted from the social media messages. Each of the location features is processed with at least one classifier from an ensemble of classifiers. A location classification is generated by each of the classifiers for each of the social media messages. Each classification comprises a location and a weight associated with that location. One of the locations is selected from the location classifications as the location of the given user based on a combination of the weights of the location classifications.

A user interface proxy method and system. The method includes presenting by a computer processor, an application user interface request from a client computing system. The application user interface request includes parameters associated with an application user interface. The computer processor enables a proxy user interface instance within a first cloud instance associated with the parameters. The computer processor transmits the application user interface request to the proxy user interface instance. The computer processor transmits results associated with the application user interface request to the client computing system. The computer processor receives messages associated with interactions between the client computing system and a user. The computer processor transmits the messages to the proxy user interface instance. The computer processor transmits feedback data associated with the messages to the client computing system.

User interface proxy method and system

A method, system and program product for combining and processing web data using tables and programming-by-demonstration is disclosed. Direct manipulation and programming-by-demonstration techniques are used to automatically populate tables with information collected from various web sites. The invention augments a data set with new values computed by a web site.

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San Jose, CA, United States of America

Jeffrey William Nichols