# US 11,113,743 B2 · Information recommendation based on rule matching

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- Number: US 11,113,743 B2
- Document ID: US11113743B2
- Status: Granted
- Kind: B2
- Application number: 16/722,202
- Filed: 2019-12-20
- Published: 2020-04-23
- Granted: 2021-09-07
- Earliest claimed: 2015-11-13
- Assignees: Advanced New Technologies Co., Ltd.
- Applicants: Advanced New Technologies Co., Ltd.
- Inventors: Xingchi Wang; Guoqing Gao
- Web page: https://patentgrep.com/patent/US11113743B2

## CPC

- G06Q 30/0251: Targeted advertisements
- G06F 16/00: Information retrieval; Database structures therefor; File system structures therefor
- G06F 16/9535: Search customisation based on user profiles and personalisation
- G06F 40/205: Parsing
- G06N 5/04: Inference or reasoning models
- G06Q 10/40: Business processes related to social networking or social networking services
- G06Q 30/0269: {based on user profile or attribute}
- G06Q 30/0631: {Recommending goods or services}
- H04L 51/04: Real-time or near real-time messaging, e.g. instant messaging [IM]
- G06Q: INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06F: ELECTRIC DIGITAL DATA PROCESSING (computer systems based on specific computational models G06N)
- G06N: COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- H04L: TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION (arrangements common to telegraphic and telephonic communication H04M)

## Abstract

Text data transmitted by a user device to a first server is retrieved. The text data is processed to determine whether an information recommendation rule set includes an information recommendation rule matching the text data. The information recommendation rule is set based on a recommendation information. If the information recommendation rule set includes the information recommendation rule matching the text data, the recommendation information is retrieved from a second server. A recommendation based on the recommendation information is transmitted to the user device.

## Claims

### Claim 1

A computer-implemented method comprising:
retrieving, by one or more processors of an information recommendation client and from a data supply client, text data provided as text input in a graphical user interface of the data supply client, the text data comprising a message to be posted within a social network and being retrieved by the data supply client before receiving a user input that is configured to transmit the text data to the social network, and wherein the text data is prefiltered based on a feature of a recommendation information;
processing, by the one or more processors of the information recommendation client, the text data to determine a plurality of keywords and a subject;
retrieving, by the one or more processors of the information recommendation client, an information recommendation rule set corresponding to the subject;
determining, by the one or more processors of the information recommendation client, that the information recommendation rule set comprises an information recommendation rule matching the plurality of keywords and the subject of the text data, 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;
in response to determining that the information recommendation rule set comprises 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 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 data supply client; and
displaying, by the graphical user interface of the data supply client, the recommendation within the social network.

### Claim 2 (depends on 1)

The computer-implemented method of claim 1, wherein retrieving the recommendation information from the server comprises one of:
triggering the server to push the recommendation information, and retrieving the recommendation information pushed by the server; and
downloading the recommendation information from the server.

### Claim 3 (depends on 2)

The computer-implemented method of claim 2, wherein triggering the server to push the recommendation information comprises at least one of:
transmitting an information acquisition request to the server, and receiving the recommendation information transmitted by the server in response to the information acquisition request; and
triggering an information pushing application to send the information acquisition request to the server, and receiving the recommendation information transmitted by the server in response to the information acquisition request by using the information pushing application.

### Claim 4 (depends on 3)

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

### Claim 5 (depends on 4)

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.

### Claim 6 (depends on 5)

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.

### Claim 7 (depends on 6)

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

### Claim 8 (depends on 1)

The computer-implemented method of claim 1, further comprising:
receiving the text data transmitted by the data supply client, wherein the text data transmitted by the data supply client is obtained by copying the text data transmitted by the data supply client to a server.

### Claim 9 (depends on 8)

The computer-implemented method of claim 8, further comprising storing the information recommendation rule set at the server.

### Claim 10 (depends on 8)

The computer-implemented method of claim 8, wherein the text data is automatically transmitted by the data supply client to the first server before a user input selecting a transmission of the text data is received.

### Claim 11 (depends on 1)

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.

### Claim 12 (depends on 1)

The computer-implemented method of claim 1, 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 data supply client.

### Claim 13 (depends on 1)

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.

### Claim 14

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 data supply client, text data provided as text input in a graphical user interface of the data supply client, the text data comprising a message to be posted within a social network and being retrieved by the data supply client before receiving a user input that selects a transmission of the text data to the social network, and wherein the text data is prefiltered based on a feature of a recommendation information;
processing, by the one or more processors of the information recommendation client, the text data to determine a plurality of keywords and a subject;
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-is preset on the information recommendation client;
determining, by the one or more processors of the information recommendation client, that the information recommendation rule set comprises an information recommendation rule matching the plurality of keywords and the subject of the text data, 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;
in response to determining that the information recommendation rule set comprises 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 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 data supply client; and
displaying, by the graphical user interface of the data supply client, the recommendation within the social network.

### Claim 15 (depends on 14)

The non-transitory, computer-readable storage media of claim 14, wherein retrieving the recommendation information from the server comprises one of:
triggering the server to push the recommendation information, and retrieving the recommendation information pushed by the server; and
downloading the recommendation information from the server.

### Claim 16 (depends on 15)

The non-transitory, computer-readable storage media of claim 15, wherein triggering the server to push the recommendation information comprises at least one of:
transmitting an information acquisition request to the server, and receiving the recommendation information transmitted by the server in response to the information acquisition request; and
triggering an information pushing application to send an information acquisition request to the server, and receiving the recommendation information transmitted by the server in response to the information acquisition request by using the information pushing application.

### Claim 17

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 data supply client, text data provided as text input in a graphical user interface of the data supply client, the text data comprising a message to be posted within a social network and being retrieved by the data supply client before receiving a user input that selects a transmission of the text data to the social network, and wherein the text data is prefiltered based on a feature of a recommendation information,
processing, by the one or more processors of the information recommendation client, the text data to determine a plurality of keywords and a subject,
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-is preset on the information recommendation client,
determining, by the one or more processors of the information recommendation client, that the information recommendation rule set comprises an information recommendation rule matching the plurality of keywords and the subject of the text data, 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,
in response to determining that the information recommendation rule set comprises 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 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 data supply client, and
displaying, by the graphical user interface of the data supply client, the recommendation within the social network.

### Claim 18 (depends on 17)

The computer-implemented system of claim 17, wherein retrieving the recommendation information from the server comprises one of:
triggering the server to push the recommendation information, and retrieving the recommendation information pushed by the server; and
downloading the recommendation information from the server.

### Claim 19 (depends on 18)

The computer-implemented system of claim 18, wherein triggering the server to push the recommendation information comprises at least one of:
transmitting an information acquisition request to the server, and receiving the recommendation information transmitted by the server in response to the information acquisition request; and
triggering an information pushing application to send an information acquisition request to the server, and receiving the recommendation information transmitted by the server in response to the information acquisition request by using the information pushing application.