US 12,008,218 B2Granted

Methods and systems for displaying interactive interface of recommended behavior

AssigneeHithink Royalflush Information Network Co., Ltd.

InventorsYi Hu, Yunsan Guo, Weiwei Shi

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Abstract

The present disclosure example discloses a method for displaying an interactive interface of a recommended behavior. The method may include determining a prompt mode according to at least one of recommended content associated with a first user, one or more user characteristics associated with the first user, one or more environmental characteristics of a user terminal associated with the first user, or one or more first presentation data characteristics associated with the user terminal, the prompt mode including at least one of a plurality of system prompt modes of the user terminal, a plurality of user interface prompt modes of the user terminal, a vibration prompt mode of the user terminal, or a voice prompt mode of the user terminal; and prompting the first user for the recommended content based on the prompt mode.

Claims18

Dependent claims

A system for displaying an interactive interface of a recommended behavior, comprising:

one or more storage devices including a set of instructions;
and
one or more processors configured to communicate with the one or more storage devices, wherein when executing the set of instructions, the one or more processors are directed to cause the system to perform operations including:
determining recommended content associated with a first user based on one or more user characteristics associated with the first user and one or more environmental characteristics of a user terminal associated with the first user, wherein the recommended content is content that the first user is interested in;
determining a prompt mode of the recommended content through a prediction model by inputting first characteristic data, wherein the first characteristic data includes the recommended content associated with the first user, the one or more user characteristics associated with the first user, the one or more environmental characteristics of the user terminal associated with the first user, and one or more first presentation data characteristics associated with the user terminal, the prediction model being a machine learning model, the prompt mode including at least one of a plurality of system prompt modes of the user terminal, a plurality of user interface prompt modes of the user terminal, a vibration prompt mode of the user terminal, or a voice prompt mode of the user terminal;
and
prompting the first user for the recommended content based on the prompt mode.

4 more elements

A system for displaying an interactive interface of a recommended behavior, comprising:

one or more storage devices including a set of instructions;
and
one or more processors configured to communicate with the one or more storage devices, wherein when executing the set of instructions, the one or more processors are directed to cause the system to perform operations including:
determining recommended content associated with a user based on one or more user characteristics associated with the user, wherein the recommended content is content that the user is interested in;
determining prompt content according to the recommended content associated with the user;
determining a prompt instruction according to the recommended content associated with the user, the one or more user characteristics associated with the user, and one or more second presentation data characteristics of the user terminal associated with the user;
and
sending the prompt content and the prompt instruction to the user terminal, the prompt instruction being configured to determine a prompt mode of the user terminal through a prediction mode for the prompt content, the prediction model being a machine learning model.

5 more elements

A system for displaying an interactive interface of a recommended behavior, comprising:

one or more storage devices including a set of instructions;
and
one or more processors configured to communicate with the one or more storage devices, wherein when executing the set of instructions, the one or more processors are directed to cause the system to perform operations including:
obtaining prompt content associated with a user and a prompt instruction from a server, wherein the prompt content refers to displayed content configured to prompt the user for a recommended content, the recommended content is determined based on one or more user characteristics associated with the user and one or more environmental characteristics, and the recommended content is content that the user is interested in;
obtaining one or more environmental characteristics of a user terminal associated with the user and one or more prompt settings associated with the user terminal;
determining a prompt mode through a prediction model for the prompt content by inputting second characteristic data, wherein the second characteristic data includes the one or more environmental characteristics, the one or more prompt settings, and the prompt instruction, the prediction model being a machine learning model, the prompt mode including different system prompt modes of the user terminal, different user interface prompt modes of the user terminal, a vibration prompt mode of the user terminal, or a voice prompt mode of the user terminal;
and
prompting the user for the prompt content based on the prompt mode.

5 more elements

Dependencies are inferred from the claim text.

Facts

Application: 17/660,413Filed 24 Apr 2022 · continuation
Priority: 1 Jun 2020
Published: US 2022/0244825 A14 Aug 2022
Granted: 11 Jun 2024
Term ends: Not estimatedThe source records don’t support an estimate.

Classification7 codes

G06F 3/0484
Interaction techniques based on graphical user interfaces [GUI]: for the control of specific functions or operations, e.g. selecting or…
H04M 1/72454
With means for adapting the functionality of the device according to specific conditions: according to context-related or environment-related…
G06N 5/025
Knowledge engineering; Knowledge acquisition: extracting rules from data
G06N 20/00
Machine learning

Family

PCT/CN2020/093707Parent of this continuation · filed 1 Jun 2020
US 2022/0244825 A1Pre-grant publication · published 4 Aug 2022
US 12,008,218 B2This patent

From the US filing history. Foreign family members aren’t listed.

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