Abstract:
A method and a system for generating a search query to extract one or more relevant messages from a plurality of messages shared over a computer network. The method includes extracting a plurality of keywords and information pertaining to a plurality of customers from the plurality of messages. Further, the method identifies a set of influential customers from the plurality of customers based on a first score and a second score. The method further includes extracting a set of influential keywords from a first set of messages based on a first number of occurrences of the plurality of keywords in the plurality of messages within a pre-defined time interval. The method further includes generating the search query that includes at least the set of influential customers and the set of influential keywords.
Abstract:
What is disclosed is a customer relationship management system to help customer care agents prioritize a response to an incoming message. Historical conversations between customers and agents are retrieved. Each conversation has associated features and an assigned priority. Features are categorized into a plurality of categories. A priority is assigned to each category based on the features and the cumulative priority of all conversations in each category. Thereafter, an incoming message is received from a customer's computing device. Features are extracted from the incoming message. A determination is then made as to which of the categories this incoming message belongs based on this message's features. A priority is then assigned to the incoming message based on a priority assigned to the category which the incoming message belongs. The priority is then displayed for a customer agent so the agent can prioritize his/her response to that customer's incoming message.