Document enrichment with conversation texts, for enhanced information retrieval

A system comprising:

• (a) at least one hardware processor;
• and
• (b) a non-transitory computer-readable storage medium having program code embodied therewith, the program code executable by said at least one hardware processor to:
• obtain multiple conversation texts, one text per conversation, wherein each of the multiple conversation texts comprises:
• multiple messages authored by multiple parties, and
• a reference to an electronic document that provides resolution of a problem that is common to all the conversations;
• calculate an importance score for each of the multiple messages of all the conversation texts;
• cluster the multiple messages of all the conversation texts into multiple bins;
• calculate an aggregated importance score for each of the multiple bins, based on the importance scores of the messages contained in the respective bin;
• and
• enrich (a) the electronic document, or (b) a record of the electronic document in an index of electronic documents, with at least some of the multiple bins and their aggregated importance scores, wherein the at least some of the multiple bins are added as fields to the electronic document or to the record.

A computer program product comprising a non-transitory computer-readable storage medium having program code embodied therewith, the program code executable by at least one hardware processor to:

• obtain multiple conversation texts, one text per conversation, wherein each of the multiple conversation texts comprises:
• multiple messages authored by multiple parties, and
• a reference to an electronic document that provides resolution of a problem that is common to all the conversations;
• calculate an importance score for each of the multiple messages of all the conversation texts;
• cluster the multiple messages of all the conversation texts into multiple bins;
• calculate an aggregated importance score for each of the multiple bins, based on the importance scores of the messages contained in the respective bin;
• and
• enrich (a) the electronic document, or (b) a record of the electronic document in an index of electronic documents, with at least some of the multiple bins and their aggregated importance scores, wherein the at least some of the multiple bins are added as fields to the electronic document or to the record.