Management of information from verified experts

• US 10,223,424 B2
• Filed: 03/22/2016
• Issued: 03/05/2019
• Est. Priority Date: 03/22/2016
• Status: Active Grant

• Current Assignee: International Business Machines Corporation
• Original Assignee: International Business Machines Corporation
• Inventors: Bahl, Rohit, Low, Andrew R.
• Primary Examiner(s): Vy, Hung T
• Application Number:
  US15/077,315
• Publication Number:
  US 20170277755A1
• Time in Patent Office: 1,078 Days
• Field of Search: 707738
• CPC Class Codes: G06F 16/24573 using data annotations, e.g. user-defined metadata
• CPC Class Codes: G06F 16/248 Presentation of query results
• CPC Class Codes: G06F 16/252 between a Database Management System and a front-end application
• CPC Class Codes: G06F 16/285 Clustering or classification
• CPC Class Codes: G06Q 30/0201 Market modelling; Market analysis; Collecting market data
• CPC Class Codes: G06Q 50/01 Social networking

Abstract

Techniques are described for a system for providing expert information by verified experts in response to currently circulating assertions such as social media postings. In one example, a method includes identifying one or more authors of respective contents issued by one or more registered expert content sources as verified experts associated with tagged topics that are tagged in association with the respective contents. The method further includes detecting, in one or more media, a media content related to a topic of interest that corresponds to one or more of the tagged topics with which one or more of the verified experts are associated. The method further includes outputting the media content related to the topic of interest to a response interface made available to one or more of the verified experts associated with the one or more of the tagged topics that correspond to the topic of interest.

Claims

1. A method comprising:

identifying, by a computing system comprising one or more processors, one or more authors of respective contents issued by one or more registered expert content sources as verified experts associated with tagged topics that are tagged in association with the respective contents;

detecting, by the computing system in one or more media, a media content related to a topic of interest that corresponds to one or more of the tagged topics with which one or more of the verified experts are associated;

outputting the media content related to the topic of interest to a response interface made available to at least one computing device of one or more of the verified experts associated with the one or more of the tagged topics that correspond to the topic of interest;

receiving, by the computing system and from the at least one computing device of the one or more of the verified experts associated with the one or more of the tagged topics, one or more responses to the media content related to the topic of interest entered to the response interface; and

after enabling a topic search function, and in response to receiving a user query input that corresponds to the media content or the topic of interest, outputting, by the computing system, the one or more responses from the at least one of the verified experts via an expert response portal.

2. The method of claim 1, further comprising:

indexing the verified experts in respective association with the tagged topics; and

selecting, from among the verified experts, one or more of the verified experts indexed in association with one or more of the tagged topics that correspond to the topic of interest.

3. The method of claim 1, further comprising:

parsing the contents issued by the one or more registered expert content sources, thereby tagging the parsed contents by topic, wherein the tagged topics of the respective content refer to the tagging of the parsed contents by topic; and

identifying authors of the parsed contents issued by the one or more registered expert content sources, thereby generating identifications of the verified experts associated with the tagged topics of the respective parsed contents.

4. The method of claim 1, further comprising:

registering the one or more expert content sources, prior to identifying the one or more authors of the respective contents issued by the one or more registered expert content sources as the verified experts.

5. The method of claim 4, further comprising:

registering the expert content sources in association with respective topic tags; and

associating the respective topic tags with the respective contents by the verified experts only for topic tags associated with the one or more expert content sources that have issued contents authored by the respective verified experts.

6. The method of claim 1, further comprising detecting the topic of interest in the one or more media, prior to identifying the one or more of the tagged topics that correspond to the topic of interest.

7. The method of claim 1, further comprising outputting one or more of the responses from the one or more verified experts on each of a plurality of topics of interest in an organized format in which the topics of interest are ranked based at least in part on at least one of:

recency of popular interest, popularity of interest, geographical location, or individualized user data indicative of user interest of a user of the expert response portal.

8. The method of claim 1, further comprising:

providing a verified expert badge that adheres to the responses from the verified experts in online postings, wherein the verified expert badge is selectably verifiable.

9. The method of claim 1, further comprising:

parsing contents from one or more social media; and

identifying the topic of interest in the one or more social media based at least in part on detecting that a topic has increased in frequency in the parsed contents in the one or more social media.

10. The method of claim 1, wherein identifying the one or more authors of respective contents issued by the one or more registered expert content sources as verified experts associated with tagged topics that are tagged in association with the respective contents comprises:

receiving user login information from an expert candidate; and

using a secure authorization technology to check the user login information with a particular expert content source from among the one or more expert content sources to access verification of the expert candidate from the particular expert content source.

11. The method of claim 1, wherein identifying the one or more authors of respective contents issued by the one or more registered expert content sources as verified experts associated with tagged topics that are tagged in association with the respective contents comprises:

registering an online identifier of an expert candidate as used online by one of the expert content sources.

12. The method of claim 1, further comprising registering a ranking of expertise of one or more of the experts depending on at least one of quantity and quality of forms of verification of a verified expert'"'"'s expertise by the expert content sources.

13. A computer program product comprising a computer-readable storage medium having program code embodied therewith, the program code executable by a computing system to:

identify one or more authors of respective contents issued by one or more registered expert content sources as verified experts associated with tagged topics that are tagged in association with the respective contents;

detect, in one or more media, a media content related to a topic of interest that corresponds to one or more of the tagged topics with which one or more of the verified experts are associated;

output the media content related to the topic of interest to a response interface made available to at least one computing device of one or more of the verified experts associated with the one or more of the tagged topics that correspond to the topic of interest;

receive, from the at least one computing device of the one or more of the verified experts associated with the one or more of the tagged topics, one or more responses to the media content related to the topic of interest entered to the response interface; and

after enabling a topic search function, and in response to receiving a user query input that corresponds to the media content or the topic of interest, output the one or more responses from the at least one of the verified experts via an expert response portal.

14. The computer program product of claim 13, further comprising program code executable to:

parse the contents issued by the one or more registered expert content sources, thereby tagging the parsed contents by topic, wherein the tagged topics of the respective content refer to the tagging of the parsed contents by topic; and

identify authors of the parsed contents issued by the one or more registered expert content sources, thereby generating identifications of the verified experts associated with the tagged topics of the respective parsed contents.

15. A computer system comprising:

one or more processors, one or more computer-readable memories, and one or more computer-readable storage mediums;

program instructions, stored on at least one of the one or more storage devices for execution by at least one of the one or more processors via at least one of the one or more memories, to identify one or more authors of respective contents issued by one or more registered expert content sources as verified experts associated with tagged topics that are tagged in association with the respective contents;

program instructions, stored on at least one of the one or more storage devices for execution by at least one of the one or more processors via at least one of the one or more memories, to detect, in one or more media, a media content related to a topic of interest that corresponds to one or more of the tagged topics with which one or more of the verified experts are associated;

program instructions, stored on at least one of the one or more storage devices for execution by at least one of the one or more processors via at least one of the one or more memories, to output the media content related to the topic of interest to a response interface made available to at least one computing device of one or more of the verified experts associated with the one or more of the tagged topics that correspond to the topic of interest;

program instructions, stored on at least one of the one or more storage devices for execution by at least one of the one or more processors via at least one of the one or more memories, to receive, from the at least one computing device of the one or more of the verified experts associated with the one or more of the tagged topics that correspond to the topic of interest, one or more responses to the media content related to the topic of interest entered to the response interface; and

program instructions, stored on at least one of the one or more storage devices for execution by at least one of the one or more processors via at least one of the one or more memories, to enable a topic search function that, in response to a user query input corresponding to the media content or the topic of interest, outputs the one or more responses from the at least one of the verified experts via an expert response portal.

16. The computer system of claim 15, further comprising:

program instructions, stored on at least one of the one or more storage devices for execution by at least one of the one or more processors via at least one of the one or more memories, to parse the contents issued by the one or more registered expert content sources, thereby tagging the parsed contents by topic, wherein the tagged topics of the respective content refer to the tagging of the parsed contents by topic; and

program instructions, stored on at least one of the one or more storage devices for execution by at least one of the one or more processors via at least one of the one or more memories, to identify authors of the parsed contents issued by the one or more registered expert content sources, thereby generating identifications of the verified experts associated with the tagged topics of the respective parsed contents.