Abstract:
A generic categorization method may include receiving interaction data on a distributed computing system operating on a plurality of computing nodes. The distributed computing system may distribute the received interaction data across the plurality of nodes. On each node, categorization rules may be applied to the interaction data via parallel processing. The results, which may include a category associated with each interaction, may be written to a distributed storage system. A user interface may allow a user to define the categorization rules and schemas of interaction data.
Abstract:
A system and method for generating a transcript of an audio input. An embodiment of a system and method may include generating a phonetic lattice by decoding the audio input and producing a transcription based on the phonetic lattice and based on a first language model. A transcription may be analyzed to produce analysis results. Analysis results may be used to select from a plurality of language models, one language model and the selected language model may be used to generate a transcript of the audio input.
Abstract:
A computer-implemented method of generating a language model. An embodiment of a system and method may include selecting a set of words from a transcription of an audio input, the transcription produced by a current language model. The set of words may be used to obtain a set of content objects. The set of content objects may be used to generate a new language model. The current language model may be replaced by the new language model.
Abstract:
A transaction tracking system includes a display that permits viewing the relationship between related transactions. In the display, individual transactions are depicted as transaction icons sorted in time order horizontal rows according to order ID.
Abstract:
Methods and systems for selecting an offer from a set of offers to be served to one or more respondents. In some embodiments, for each of the offers, an expected reward distribution is obtained comprising an estimate of the distribution over time of reward received in response to the offer. Requests are received for the selection of an offer and in response to each request an offer is selected with the selection depending at least partially on the expected reward distribution. The expected reward distributions are updated in repeated update operations after the initial serving of each offer, the updating being based on an observed distribution of reward received in response to the servings of the offer. The updated expected reward distribution is then used in the next selection of an offer. Update operations may take place before a complete set of response data is received.
Abstract:
The subject matter discloses a method for expansion of search queries on large vocabulary continuous speech recognition transcripts comprising: obtaining a textual transcript of audio interaction generated by the large vocabulary continuous speech recognition; generating a topic model from the textual transcripts; said topic model comprises a plurality of topics wherein each topic of the plurality of topics comprises a list of keywords; obtaining a search term; associating a topic from the topic model with the search term; and generating a list of candidate term expansion words by selecting keywords from the list of keywords of the associated topic; said candidate term expansion words are of high probability to be substitution errors of the search term that are generated by the large vocabulary continuous speech recognition.
Abstract:
A computing system comprising multiple computing resources in which one resource assumes spare status using a spare election algorithm. According to the algorithm each computing resource on initialisation requests permission to assume spare state from the other computing resources. Then if all of the other computing resources grant the permission the requesting computing resource assumes spare state. If one of the other computing resources does not grant the permission to the requesting resource then the requesting resource assumes normal state.
Abstract:
In a method for providing guidance to agents of a contact center, a server of an agent guidance system provides a list of key selling points to a plurality of workstations. Each of the workstations is associated with an agent of the contact center. Each key selling point of the list is associated with an effectiveness status. The server receives from a workstation feedback related to an effectiveness of a key selling point of the list. The effectiveness status of a key selling point of the list is automatically modified in accordance with the received feedback. The server provides to the workstations a modified list that incorporates the modified effectiveness status.
Abstract:
A system and method for monitoring Internet Protocol (IP) data traffic may include receiving IP data generated by a target device interacting on the Internet, determining at least one activity performed by the target device based on the IP data, wherein an activity describes an interaction on the Internet, and aggregating data describing the at least one activity into one or more chunks, each chunk corresponding to a portion of time and at least one activity performed by the targets.
Abstract:
The subject matter discloses a method for expansion of search queries on large vocabulary continuous speech recognition transcripts comprising: obtaining a textual transcript of audio interaction generated by the large vocabulary continuous speech recognition; generating a topic model from the textual transcripts; said topic model comprises a plurality of topics wherein each topic of the plurality of topics comprises a list of keywords; obtaining a search term; associating a topic from the topic model with the search term; and generating a list of candidate term expansion words by selecting keywords from the list of keywords of the associated topic; said candidate term expansion words are of high probability to be substitution errors of the search term that are generated by the large vocabulary continuous speech recognition.