Interactive dialogue system and a method for facilitating human machine conversation

An interactive dialogue system for facilitating a human-machine conversation for responding to a user query received from a user, the system comprising:

• a determining unit configured to determine at least one of a category and a context of the user query, wherein the category and the context relates to a domain in which the human-machine conversation is provided;
• an implementing unit configured to implement a first model and a second model for responding to the user query, wherein the second model is triggered when the first model is unable to respond to the user query, and wherein, upon triggering the second model:
• a configuring unit configures one or more crawlers for accessing corresponding one or more databases of a plurality of databases, based on the of the at least one of the category and the context of the user query, for retrieving the relevant information;
• a score generating unit for the second model configured to generate a second model score for the relevant information retrieved by the second model;
• and
• a presenting unit configured to enable the second model to present the relevant information to the user based on the second model score, wherein the second model updates the first model with the relevant information and its corresponding second model score such that the first model is capable of responding to a future query similar to the user query using the updated relevant information.

The interactive dialogue system as claimed in claim 12, wherein the second model score comprising a summation of a cluster centroid score, a second document score and a second user score, and wherein:

• the cluster centroid score is generated based on the K-means clustering technique,
• the second document score is generated:
• D
• ⁢
• S
• 2
• =
• ∑
• i
• =
• 1
• n
• ⁢
• (
• IOQ
• i
• *
• IOR
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• wherein, DS2 represents the second document score,
• IOQi represents index of words for the user query, and
• IORi represents index of the relevant information provided for the user query by the second model, and
• the second user score is generated based on user feedback upon receiving the relevant information provided by the second model.