Recommending message wording based on analysis of prior group usage

Patent metadata

Field	Value
Publication number	US-11030413-B2
Application number	US-201816019999-A
Country	US
Kind code	B2
Filing date	Jun 27, 2018
Priority date	Jun 27, 2018
Publication date	Jun 8, 2021
Grant date	Jun 8, 2021

Abstract

Embodiments generally relate to recommending message wording in a collaboration environment. In some embodiments, a method includes monitoring content characteristics of messages provided by users in a collaboration environment, where the content characteristics include individual usage statistics. The method further includes aggregating the individual usage statistics. The method further includes determining group usage statistics from the aggregated individual usage statistics. The method further includes determining community characteristics based at least in part on the group usage statistics. The method further includes providing one or more recommendations to at least one user who writes at least one new message based at least in part on the community characteristics and based at least in part on one or more recommendation policies.

First claim

What is claimed is:

1. A system comprising:
at least one processor and a computer readable storage medium having program instructions embodied therewith, the program instructions executable by the at least one processor to cause the at least one processor to perform operations comprising:
monitoring content characteristics of messages provided by users in a collaboration environment, wherein the content characteristics include individual usage statistics;
aggregating the individual usage statistics;
determining group usage statistics from the aggregated individual usage statistics;
detecting at least one new message being written by a first user to one or more second users of the users in the collaboration environment;
accessing a plurality of destination repositories;
determining content characteristics of messages and documents stored at each destination repository of the plurality of destination repositories;
identifying at least one first destination repository of the plurality of destination repositories that is a candidate destination repository to receive the at least one new message, wherein the identifying of the at least one first destination repository is based at least in part on the content characteristics associated with the at least one new message and content characteristics associated with the at least one first destination repository and based at least in part on individual usage statistics associated with the first user and the one or more second users;
determining community characteristics associated with the at least one first destination repository based at least in part on the group usage statistics, wherein the community characteristics comprise one or more communication channels associated with the at least one first destination repository; and
providing one or more recommendations to the first user with regard to the at least one new message based at least in part on the community characteristics and based at least in part on one or more recommendation policies.

2. The system of claim 1 , wherein the community characteristics are further based at least in part on a destination.

3. The system of claim 1 , wherein the individual usage statistics comprises statistics associated with one or more of punctuation, lexicon, grammar, spelling, religion, swearing, and slang.

4. The system of claim 1 , wherein the community characteristics are further based at least in part on a collaboration type.

5. The system of claim 1 , wherein at least one of the recommendation policies is to flag inappropriate wording detected in the at least one new message.

6. The system of claim 1 , wherein at least one of the recommendation policies is to suggest appropriate wording in the at least one new message.

7. The system of claim 1 , wherein at least one of the recommendation policies is to suggest appropriate wording based on the community characteristics.

8. A computer program product comprising a computer readable storage medium having program instructions embodied therewith, the program instructions executable by at least one processor to cause the at least one processor to perform operations comprising:
monitoring content characteristics of messages provided by users in a collaboration environment, wherein the content characteristics include individual usage statistics;
aggregating the individual usage statistics;
determining group usage statistics from the aggregated individual usage statistics;
detecting at least one new message being written by a first user to one or more second users of the users in the collaboration environment;
accessing a plurality of destination repositories;
determining content characteristics of messages and documents stored at each destination repository of the plurality of destination repositories;
identifying at least one first destination repository of the plurality of destination repositories that is a candidate destination repository to receive the at least one new message, wherein the identifying of the at least one first destination repository is based at least in part on the content characteristics associated with the at least one new message and content characteristics associated with the at least one first destination repository and based at least in part on individual usage statistics associated with the first user and the one or more second users;
determining community characteristics associated with the at least one first destination repository based at least in part on the group usage statistics, wherein the community characteristics comprise one or more communication channels associated with the at least one first destination repository; and
providing one or more recommendations to the first user with regard to the at least one new message based at least in part on the community characteristics and based at least in part on one or more recommendation policies.

9. The computer program product of claim 8 , wherein the community characteristics are further based at least in part on one a destination.

10. The computer program product of claim 8 , wherein the individual usage statistics comprises statistics associated with one or more of punctuation, lexicon, grammar, spelling, religion, swearing, and slang.

11. The computer program product of claim 8 , wherein the community characteristics are further based at least in part on a collaboration type.

12. The computer program product of claim 8 , wherein at least one of the recommendation policies is to flag inappropriate wording detected in the at least one new message.

13. The computer program product of claim 8 , wherein at least one of the recommendation policies is to suggest appropriate wording in the at least one new message.

14. The computer program product of claim 8 , wherein at least one of the recommendation policies is to suggest appropriate wording based on the community characteristics.

15. A computer-implemented method for recommending message wording in a collaboration environment, the method comprising:
monitoring content characteristics of messages provided by users in a collaboration environment, wherein the content characteristics include individual usage statistics;
aggregating the individual usage statistics;
determining group usage statistics from the aggregated individual usage statistics;
detecting at least one new message being written by a first user to one or more second users of the users in the collaboration environment;
accessing a plurality of destination repositories;
determining content characteristics of messages and documents stored at each destination repository of the plurality of destination repositories;
identifying at least one first destination repository of the plurality of destination repositories that is a candidate destination repository to receive the at least one new message, wherein the identifying of the at least one first destination repository is based at least in part on the content characteristics associated with the at least one new message and content characteristics associated with the at least one first destination repository and based at least in part on individual usage statistics associated with the first user and the one or more second users;
determining community characteristics associated with the at least one first destination repository based at least in part on the group usage statistics, wherein the community characteristics comprise one or more communication channels associated with the at least one first destination repository; and
providing one or more recommendations to the first user with regard to the at least one new message ba

Assignees

• IBM

Inventors

• Silva Asima
• Cunico Hernan A
• Rice John
• Harpur Liam S

Classifications

• H04L51/52

  for supporting social networking services · CPC title

• H04L67/535

  Tracking the activity of the user (network monitoring arrangements H04L43/00; recording of computer activity G06F11/34) · CPC title

• G06F40/284

  Lexical analysis, e.g. tokenisation or collocates · CPC title

• G06F40/30 Primary

  Semantic analysis · CPC title

• G06F40/253 Primary

  Grammatical analysis; Style critique · CPC title