Searchable peer-to-peer system through instant messaging based topic indexes
An embodiment of the present invention, a computer receives, on a first computer, a request to locate a topic. The computer determines a second computer to query for the topic. The computer queries the second computer for the topic. The computer receives identification information of participants of an instant messaging conversation corresponding to the topic. The computer stores, on the first computer, the identification information of the participants and indexing the stored identification information by the topic.
1. A method comprising:
indexing a transcript of a chat session within a memory location of a first client device associated with a first user account, the transcript of the chat session comprising one or more keywords;
receiving a search request that includes at least a portion of the one or more keywords from a second client device, the second client device associated with a second user account;
identifying a social network connection between the first user account and the second user account; and
accessing the memory location of the first client device based on the social network connection between the first user account and the second user account.
2. The method of claim 1 , wherein the indexing the transcript of the chat session further comprises:
compiling the transcript of the chat session, the transcript of the chat session comprising a plurality of words;
determining a respective word incidence count for each word among the plurality of words; and
identifying the one or more keywords from the transcript based on the respective word incidence count for each word among the plurality of words.
3. The method of claim 2 , wherein the identifying the one or more keywords from the transcript based on the respective word incidence count for each word among the plurality of words includes:
identifying a most common word among the plurality of words of the transcript based on the word incidence count; and
assigning the most common word to the transcript of the chat session as the one or more keywords.
4. The method of claim 2 , wherein the identifying the one or more keywords from the transcript based on the respective word incidence count for each word among the plurality of words further comprises:
accessing a repository that comprises a predetermined list of keywords;
identifying the one or more keywords of the transcript of the chat session from among the predetermined list of topics; and
assigning the one or more keywords to the transcript of the chat session.
5. The method of claim 1 , wherein the indexing the transcript of the chat session at the memory location of the first client device includes:
causing display of a graphical user interface at the first client device in response to the detecting a conclusion of the chat session, the graphical user interface including a presentation of the one or more keywords;
receiving a user input that comprises a selection of at least a portion of the one or more keywords; and
indexing the transcript of the chat session at the memory location based on the selection of the portion of the one or more keywords.
6. The method of claim 1 , wherein the method further comprises:
causing display of at least a portion of the chat session at the second client device.
7. The method of claim 1 , wherein the method further comprises:
initiating a communication session between at least the first client device and the second client device responsive to the accessing the memory location of the first client device based on the social network connection between the first user account and the second user account.
8. A system comprising:
a memory; and
at least one hardware processor coupled to the memory and comprising instructions that causes the system to perform operations comprising:
indexing a transcript of a chat session within a memory location of a first client device associated with a first user account, the transcript of the chat session comprising one or more keywords;
receiving a search request that includes at least a portion of the one or more keywords from a second client device, the second client device associated with a second user account;
identifying a social network connection between the first user account and the second user account; and
accessing the memory location of the first client device based on the social network connection between the first user account and the second user account.
9. The system of claim 8 , wherein the indexing the transcript of the chat session further comprises:
compiling the transcript of the chat session, the transcript of the chat session comprising a plurality of words;
determining a respective word incidence count for each word among the plurality of words; and
identifying the one or more keywords from the transcript based on the respective word incidence count for each word among the plurality of words.
10. The system of claim 9 , wherein the identifying the one or more keywords from the transcript based on the respective word incidence count for each word among the plurality of words includes:
identifying a most common word among the plurality of words of the transcript based on the word incidence count; and
assigning the most common word to the transcript of the chat session as the one or more keywords.
11. The system of claim 9 , wherein the identifying the one or more keywords from the transcript based on the respective word incidence count for each word among the plurality of words further comprises:
accessing a repository that comprises a predetermined list of keywords;
identifying the one or more keywords of the transcript of the chat session from among the predetermined list of topics; and
assigning the one or more keywords to the transcript of the chat session.
12. The system of claim 8 , wherein the indexing the transcript of the chat session at the memory location of the first client device includes:
causing display of a graphical user interface at the first client device in response to the detecting a conclusion of the chat session, the graphical user interface including a presentation of the one or more keywords;
receiving a user input that comprises a selection of at least a portion of the one or more keywords; and
indexing the transcript of the chat session at the memory location based on the selection of the portion of the one or more keywords.
13. The system of claim 8 , wherein the operations further comprise:
causing display of at least a portion of the chat session at the second client device.
14. The system of claim 8 , wherein the operations further comprise:
initiating a communication session between at least the first client device and the second client device responsive to the accessing the memory location of the first client device based on the social network connection between the first user account and the second user account.
15. A non-transitory machine-readable storage medium comprising instructions that, when executed by one or more processors of a machine, cause the machine to perform operations including:
indexing a transcript of a chat session within a memory location of a first client device associated with a first user account, the transcript of the chat session comprising one or more keywords;
receiving a search request that includes at least a portion of the one or more keywords from a second client device, the second client device associated with a second user account;
identifying a social network connection between the first user account and the second user account; and
accessing the memory location of the first client device based on the social network connection between the first user account and the second user account.
16. The non-transitory machine-readable storage medium of claim 15 , wherein the indexing the transcript of the chat session further comprises:
compiling the transcript of the chat session, the transcript of the chat session comprising a plurality of words;
determining a respective word incidence count for each word among the plurality of words; and
identifying the one or more keywords from the transcript based on the respective word incidence count for each word among the plurality of words.
17. The non-transitory machine-readable storage medium of claim 16 , wherein the identifying the one or more keywords from the transcript based on the respective word incidence count for each word among the plurality of words includes:
identifying a most common word among the plurality of words of the transcript based on the word incidence count; and
assigning the most common word to the transcript of the chat session as the one or more keywords.
18. The non-transitory machine-readable storage medium of claim 16 , wherein the identifying the one or more keywords from the transcript based on the respective word incidence count for each word among the plurality of words further comprises:
accessing a repository that comprises a predetermined list of keywords;
identifying the one or more keywords of the transcript of the chat session from among the predetermined list of topics; and
assigning the one or more keywords to the transcript of the chat session.
19. The non-transitory machine-readable storage medium of claim 15 , wherein the indexing the transcript of the chat session at the memory location of the first client device includes:
causing display of a graphical user interface at the first client device in response to the detecting a conclusion of the chat session, the graphical user interface including a presentation of the one or more keywords;
receiving a user input that comprises a selection of at least a portion of the one or more keywords; and
indexing the transcript of the chat session at the memory location based on the selection of the portion of the one or more keywords.
20. The non-transitory machine-readable storage medium of claim 15 , wherein the operations further comprise:
causing display of at least a portion of the chat session at the second client device.