Patent classifications
H04M2203/40
Application triggered media control in call centers
Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for receiving an input from a call center agent indicating a symptom of a quality of an electronic communication between the agent and a caller. Identifying a cause of the quality of the electronic communication based on the input. And, sending instructions to adjust the cause of the quality of the electronic communication.
Optimized routing of interactions to contact center agents based on forecast agent availability and customer patience
A system and method for routing interactions to contact center agents. The system is adapted to concurrently identify a plurality of interactions waiting to be routed, and identify a plurality of candidate agents viable for handling the plurality of interactions. The system is also adapted to calculate a predicted wait time associated with each of the candidate agents. For each agent of the plurality of candidate agents, the system is adapted to estimate an expected value to be obtained by routing each of the plurality of the interaction to the agent. The expected value is a function of the predicted wait time. The system is further adapted to assign each of the plurality of the interactions to one of the plurality of candidate agents based on the estimated reward, and signal a routing device for routing each of the plurality of the interactions to the agent assigned to the interaction.
Real-Time Markup of User Text with Deep Links
A messaging system receives text typed by a user into a user device. An entity identification engine selectively identifies an entity within the received text based on a set of entities stored in an entity data store. A natural language action recognition engine selectively identifies a phrase corresponding to an action within the received text. A deep link identification module, in response to identifying the entity and the action, modifies a display on the user device to visually emphasize the text corresponding to the identified entity and/or action. A search system interface, in response to the user selecting the portion of the text, transmits a query to a search system, including the identified entity and action. In response, each of a set of application state results includes an identification of an application within which the application state is present and an access mechanism that navigates to the application state.
SYSTEM AND METHOD FOR DYNAMIC ASR BASED ON SOCIAL MEDIA
System and method to adjust an automatic speech recognition (ASR) engine, the method including: receiving social network information from a social network; data mining the social network information to extract one or more characteristics; inferring a trend from the extracted one or more characteristics; and adjusting the ASR engine based upon the inferred trend. Embodiments of the method may further include: receiving a speech signal from a user; and recognizing the speech signal by use of the adjusted ASR engine. Further embodiments of the method may include: producing a list of candidate matching words; and ranking the list of candidate matching words by use of the inferred trend.
DIALOG TEXT SUMMARIZATION DEVICE AND METHOD
Provided is a summarization technology for correcting a dialog text on a word-by-word basis for readability using a dialog structure. A dialog text summarization device includes: a recognition result acquisition unit that acquires, from a database, a word recognized from a dialog form text, time-series information of the word, and identification information identifying a speaker of the word; and a text summarization unit that corrects the word based on the word, the time-series information of the word, the identification information, and a summarization model, and that outputs a correction result to the database.
System and method for dynamic ASR based on social media
System and method to adjust an automatic speech recognition (ASR) engine, the method including: receiving social network information from a social network; data mining the social network information to extract one or more characteristics; inferring a trend from the extracted one or more characteristics; and adjusting the ASR engine based upon the inferred trend. Embodiments of the method may further include: receiving a speech signal from a user; and recognizing the speech signal by use of the adjusted ASR engine. Further embodiments of the method may further include: producing a list of candidate matching words; and ranking the list of candidate matching words by use of the inferred trend.
Optimized routing of interactions to contact center agents based on machine learning
A system that is adapted to route interactions to contact center agents. More specifically, the system is adapted to identify an interaction to be routed, and identify a group of agents based on one or more constraints for generating one or more candidate agents. The system is also adapted to gather context data surrounding the candidate agents. For each agent of the candidate agents, the system is adapted to estimate an expected value to be obtained by routing the interaction to the agent. The system is further adapted to select a particular agent of the candidate agents based on the estimates, and signal a routing device for routing the interaction to the particular agent.
OPTIMIZED ROUTING OF INTERACTIONS TO CONTACT CENTER AGENTS BASED ON MACHINE LEARNING
A system that is adapted to route interactions to contact center agents. More specifically, the system is adapted to identify an interaction to be routed, and identify a group of agents based on one or more constraints for generating one or more candidate agents. The system is also adapted to gather context data surrounding the candidate agents. For each agent of the candidate agents, the system is adapted to estimate an expected value to be obtained by routing the interaction to the agent. The system is further adapted to select a particular agent of the candidate agents based on the estimates, and signal a routing device for routing the interaction to the particular agent.
OPTIMIZED ROUTING OF INTERACTIONS TO CONTACT CENTER AGENTS BASED ON FORECAST AGENT AVAILABILITY AND CUSTOMER PATIENCE
A system and method for routing interactions to contact center agents. The system is adapted to concurrently identify a plurality of interactions waiting to be routed, and identify a plurality of candidate agents viable for handling the plurality of interactions. The system is also adapted to calculate a predicted wait time associated with each of the candidate agents. For each agent of the plurality of candidate agents, the system is adapted to estimate an expected value to be obtained by routing each of the plurality of the interaction to the agent. The expected value is a function of the predicted wait time. The system is further adapted to assign each of the plurality of the interactions to one of the plurality of candidate agents based on the estimated reward, and signal a routing device for routing each of the plurality of the interactions to the agent assigned to the interaction.
APPLICATION TRIGGERED MEDIA CONTROL IN CALL CENTERS
Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for receiving an input from a call center agent indicating a symptom of a quality of an electronic communication between the agent and a caller. Identifying a cause of the quality of the electronic communication based on the input. And, sending instructions to adjust the cause of the quality of the electronic communication.