Information recommendation based on rule matching

1. A computer-implemented method comprising:

retrieving, by one or more processors of an information recommendation client and from a first server, text data provided by a user as chat content in a graphical user interface of a chat application and transmitted to the first server by the chat application to be processed before receiving a user input that is configured to transmit the text data to a member of a chat group, and wherein the text data is prefiltered based on a feature of a recommendation information before receiving the user input that is configured to transmit the text data to the member of the chat group;

processing, by the one or more processors of the information recommendation client, the text data to determine a plurality of keywords and a subject, wherein each of the plurality of keywords comprises a noun;

retrieving, by the one or more processors of the information recommendation client, an information recommendation rule set corresponding to the subject, wherein the information recommendation rule set comprises a plurality of rules;

determining, by the one or more processors of the information recommendation client, for each of the plurality of rules a relevance score defined based a score and a weight corresponding to the plurality of keywords and the subject of the text data;

selecting, by the one or more processors of the information recommendation client, an information recommendation rule from the plurality of rules based on ranking the plurality of rules using the relevance score of each of the plurality of rules;

in response to selecting the information recommendation rule matching the text data, retrieving, by the one or more processors of the information recommendation client, the recommendation information from a second server;

transmitting, by the one or more processors of the information recommendation client, a recommendation based on the recommendation information to the graphical user interface of the chat application; and

displaying, by the graphical user interface of the chat application, the recommendation for the user of the chat group.

2. The computer-implemented method of claim 1 , wherein retrieving the recommendation information from the second server comprises one of:

triggering the second server to push the recommendation information, and retrieving the recommendation information pushed by the second server; and

downloading the recommendation information from the second server.

3. The computer-implemented method of claim 2 , wherein triggering the second server to push the recommendation information comprises at least one of:

transmitting an information acquisition request to the second server, and receiving the recommendation information transmitted by the second server in response to the information acquisition request; and

triggering an information pushing application to send the information acquisition request to the second server, and receiving the recommendation information transmitted by the second server in response to the information acquisition request by using the information pushing application.

4. The computer-implemented method of claim 3 , wherein the information acquisition request comprises a feature of the recommendation information.

5. The computer-implemented method of claim 4 , wherein the feature of the recommendation information comprises at least one of:

a number of the recommendation information; and

an identifier of the information recommendation rule that corresponds to the recommendation information.

6. The computer-implemented method of claim 5 , wherein the subject and the plurality of keywords are set for each information recommendation rule in the information recommendation rule set.

7. The computer-implemented method of claim 6 , wherein transmitting the information acquisition request to the second server comprises:

determining whether the information recommendation rule set comprises at least two information recommendation rules matching the text data;

in response to determining that the information recommendation rule set comprises at least two information recommendation rules matching the text data, selecting the information recommendation rule from the at least two information recommendation rules based on weights associated to keywords included in the at least two information recommendation rules;

adding a subject specified in the selected information recommendation rule to the information acquisition request; and

transmitting the information acquisition request to the second server.

8. The computer-implemented method of claim 1 , wherein retrieving the text data transmitted by the chat application to the first server comprises one of:

retrieving, from the first server, the text data transmitted by the chat application to the first server; and

receiving the text data transmitted by the chat application, wherein the text data transmitted by the chat application is obtained by copying the text data transmitted by the chat application to the first server.

9. The computer-implemented method of claim 1 , further comprising storing the information recommendation rule set at the first server.

10. The computer-implemented method of claim 1 , wherein the text data is automatically transmitted by the chat application to the first server before receiving the user input that is configured to transmit the text data.

11. The computer-implemented method of claim 1 , wherein the subject that is statistically determined based on a correspondence between the plurality of keywords and the subject.

12. The computer-implemented method of claim 11 , wherein matching the text data comprises searching the plurality of keywords in a trie associated to the information recommendation rule and generating a set of matched nodes.

13. The computer-implemented method of claim 12 , further comprising comparing the set of matched nodes to a threshold number of matched nodes and in response to exceeding the threshold number of matched nodes transmitting the recommendation to the chat application.

14. The computer-implemented method of claim 1 , wherein the recommendation comprises at least one of an advertisement, news, a picture, and a movie associated to the information recommendation rule.

15. A non-transitory, computer-readable storage media storing one or more instructions executable by a computer system to perform operations comprising:

retrieving, by one or more processors of an information recommendation client and from a first server, text data provided by a user as chat content in a graphical user interface of a chat application and transmitted to the first server by the chat application to be processed before receiving a user input that is configured to transmit the text data to a member of a chat group, and wherein the text data is prefiltered based on a feature of a recommendation information before receiving the user input that is configured to transmit the text data to the member of the chat group;

processing, by the one or more processors of the information recommendation client, the text data to determine a plurality of keywords and a subject, wherein each of the plurality of keywords comprises a noun;

retrieving, by the one or more processors of the information recommendation client, an information recommendation rule set corresponding to the subject, wherein the information recommendation rule set comprises a plurality of rules;

determining, by the one or more processors of the information recommendation client, for each of the plurality of rules a relevance score defined based a score and a weight corresponding to the plurality of keywords and the subject of the text data;

selecting, by the one or more processors of the information recommendation client, an information recommendation rule from the plurality of rules based on ranking the plurality of rules using the relevance score of each of the plurality of rules;

in response to selecting the information recommendation rule matching the text data, retrieving, by the one or more processors of the information recommendation client, the recommendation information from a second server;

transmitting, by the one or more processors of the information recommendation client, a recommendation based on the recommendation information to the graphical user interface of the chat application; and

displaying, by the graphical user interface of the chat application, the recommendation for the user of the chat group.

16. The non-transitory, computer-readable storage media of claim 15 , wherein retrieving the recommendation information from the second server comprises one of:

triggering the second server to push the recommendation information, and retrieving the recommendation information pushed by the second server; and

downloading the recommendation information from the second server.

17. The non-transitory, computer-readable storage media of claim 16 , wherein triggering the second server to push the recommendation information comprises at least one of:

transmitting an information acquisition request to the second server, and receiving the recommendation information transmitted by the second server in response to the information acquisition request; and

triggering an information pushing application to send an information acquisition request to the second server, and receiving the recommendation information transmitted by the second server in response to the information acquisition request by using the information pushing application.

18. A computer-implemented system, comprising:

one or more computers; and

one or more computer memory devices interoperably coupled with the one or more computers and having tangible, non-transitory, machine-readable media storing one or more instructions that, when executed by the one or more computers, perform one or more operations comprising:

retrieving, by one or more processors of an information recommendation client and from a first server, text data provided by a user as chat content in a graphical user interface of a chat application and transmitted to the first server by the chat application to be processed before receiving a user input that is configured to transmit the text data to a member of a chat group, and wherein the text data is prefiltered based on a feature of a recommendation information before receiving the user input that is configured to transmit the text data to the member of the chat group;

processing, by the one or more processors of the information recommendation client, the text data to determine a plurality of keywords and a subject, wherein each of the plurality of keywords comprises a noun;

retrieving, by the one or more processors of the information recommendation client, an information recommendation rule set corresponding to the subject, wherein the information recommendation rule set comprises a plurality of rules;

determining, by the one or more processors of the information recommendation client, for each of the plurality of rules a relevance score defined based a score and a weight corresponding to the plurality of keywords and the subject of the text data;

selecting, by the one or more processors of the information recommendation client, an information recommendation rule from the plurality of rules based on ranking the plurality of rules using the relevance score of each of the plurality of rules;

in response to selecting the information recommendation rule matching the text data, retrieving, by the one or more processors of the information recommendation client, the recommendation information from a second server;

transmitting, by the one or more processors of the information recommendation client, a recommendation based on the recommendation information to the graphical user interface of the chat application; and

displaying, by the graphical user interface of the chat application, the recommendation for the user of the chat group.

19. The computer-implemented system of claim 18 , wherein retrieving the recommendation information from the second server comprises one of:

triggering the second server to push the recommendation information, and retrieving the recommendation information pushed by the second server; and

downloading the recommendation information from the second server.

20. The computer-implemented system of claim 19 , wherein triggering the second server to push the recommendation information comprises at least one of:

transmitting an information acquisition request to the second server, and receiving the recommendation information transmitted by the second server in response to the information acquisition request; and

triggering an information pushing application to send an information acquisition request to the second server, and receiving the recommendation information transmitted by the second server in response to the information acquisition request by using the information pushing application.