Context-aware relevance modeling in conversational systems

A computer system for restoring an interrupted communication session, comprising:

• one or more processors, one or more computer-readable memories and one or more computer-readable storage media;
• program instructions, stored on at least one of one or more of a plurality of storage media for execution by at least one of the one or more processors via at least one of the one or more computer-readable memories, to receive a user query q;
• program instructions, stored on at least one of one or more of a plurality of storage media for execution by at least one of the one or more processors via at least one of the one or more computer-readable memories, to process said user query q using a scoring function, wherein said processing include collecting information relating to said user query q from one or more other users;
• program instructions, stored on at least one of the one or more of said plurality of storage media for execution by at least one of the one or more processors via at least one of the one or more computer-readable memories, to select a latent static content d from a corpus of content D and a latent set of context C from a set of external context Cu;
• program instructions, stored on at least one of the one or more of said plurality of storage media for execution by at least one of the one or more processors via at least one of the one or more computer-readable memories, to generate a result using said scoring function having said latent static content d from said corpus of content D and said latent set of context C from a set of external contexts CU, wherein said result generated is responsive to a most relevant context-base search to said user query q;
• program instructions, stored on at least one of one or more of a plurality of storage media for execution by at least one of the one or more processors via at least one of the one or more computer-readable memories, to perform a search using said result;
• program instructions, stored on at least one of the one or more of said plurality of storage media for execution by at least one of the one or more processors via at least one of the one or more computer-readable memories, to generate a response based on the search performed using said result and using said scoring function, in response to said user query q;
• and
• program instructions, stored on at least one of the one or more of said plurality of storage media for execution by at least one of the one or more processors via at least one of the one or more computer-readable memories, to formulate from a dialogue extracted from user previous interactions, selecting said latent static content d from the search performed using said corpus of content D.

A computer program product for providing cleansing steps for using a plurality of different transformation assets, the computer program product comprising:

• one or more non-transitory computer readable storage media, one or more processors and one or more memories;
• program instructions, stored on at least one of one or more of a plurality of storage media for execution by at least one of the one or more processors via at least one of one or more computer-readable memories, to receive a user query q;
• program instructions, stored on at least one of one or more of a plurality of storage media for execution by at least one of the one or more processors via at least one of the one or more computer-readable memories, to process said user query q using a scoring function, wherein said processing include collecting information relating to said user query q from one or more other users;
• program instructions, stored on at least one of the one or more of said plurality of storage media for execution by at least one of the one or more processors via at least one of the one or more computer-readable memories, to select a latent static content d from a corpus of content D and a latent set of context C from a set of external context Cu;
• program instructions, stored on at least one of the one or more of said plurality of storage media for execution by at least one of the one or more processors via at least one of the one or more computer-readable memories, to generate a result using said scoring function having said latent static content d from said corpus of content D and said latent set of context C from a set of external contexts CU, wherein said result generated is responsive to a most relevant context-base search to said user query q;
• program instructions, stored on at least one of one or more of a plurality of storage media for execution by at least one of the one or more processors via at least one of the one or more computer-readable memories, to perform a search using said result;
• program instructions, stored on at least one of the one or more of said plurality of storage media for execution by at least one of the one or more processors via at least one of the one or more computer-readable memories, to generate a response based on the search performed using said result and using said scoring function, in response to said user query q;
• and
• program instructions, stored on at least one of the one or more of said plurality of storage media for execution by at least one of the one or more processors via at least one of the one or more computer-readable memories, to formulate from a dialogue extracted from user previous interactions, selecting said latent static content d from the search performed using said corpus of content D.