CN113297499A - Information recommendation system, method, computer equipment and storage medium - Google Patents

Information recommendation system, method, computer equipment and storage medium Download PDF

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CN113297499A
CN113297499A CN202110691507.6A CN202110691507A CN113297499A CN 113297499 A CN113297499 A CN 113297499A CN 202110691507 A CN202110691507 A CN 202110691507A CN 113297499 A CN113297499 A CN 113297499A
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data
user
preset threshold
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threshold value
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张彦翔
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Beijing Chuangshi Road Information Technology Co ltd
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Beijing Chuangshi Road Information Technology Co ltd
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90Details of database functions independent of the retrieved data types
    • G06F16/95Retrieval from the web
    • G06F16/953Querying, e.g. by the use of web search engines
    • G06F16/9535Search customisation based on user profiles and personalisation
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90Details of database functions independent of the retrieved data types
    • G06F16/95Retrieval from the web
    • G06F16/953Querying, e.g. by the use of web search engines
    • G06F16/9536Search customisation based on social or collaborative filtering
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/16Human faces, e.g. facial parts, sketches or expressions
    • G06V40/161Detection; Localisation; Normalisation
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/16Human faces, e.g. facial parts, sketches or expressions
    • G06V40/168Feature extraction; Face representation
    • G06V40/171Local features and components; Facial parts ; Occluding parts, e.g. glasses; Geometrical relationships

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  • Databases & Information Systems (AREA)
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  • Information Retrieval, Db Structures And Fs Structures Therefor (AREA)

Abstract

The invention is suitable for the technical field of information recommendation, and particularly discloses an information recommendation system, an information recommendation method, computer equipment and a storage medium, wherein the information recommendation method provided by the embodiment of the invention obtains expression change data by processing facial camera shooting data; recording the time of browsing news information by a user, and generating browsing time data; judging whether the expression change data is larger than a first preset threshold value or not, judging whether the browsing time data is larger than a second preset threshold value or not, and judging that the user is interested in the news information when the expression change data is larger than the first preset threshold value and the browsing time data is larger than the second preset threshold value; acquiring type data of the news information; and recommending news to the user according to the type data. When the user browses news information, facial shooting is carried out on the user, facial expression changes and browsing duration of the user are compared, whether the user is interested in the browsed news information is judged, and therefore more similar types of news are recommended for the user.

Description

Information recommendation system, method, computer equipment and storage medium
Technical Field
The invention belongs to the technical field of information recommendation, and particularly relates to an information recommendation system, an information recommendation method, computer equipment and a storage medium.
Background
Information refers to audio, message, and the object transmitted and processed by communication system, and generally refers to all the contents of human social communication. People can recognize and reform the world by obtaining and identifying different information of the nature and the society to distinguish different things. In all communication and control systems, information is a form of universal association.
News information is the delivery of what is happening around the world. People can receive news information at any time and any place in life, and especially along with the popularization of intelligent equipment, people can more conveniently acquire the news information. Everyone has the news information of interest, and for the news information of not interest, people often will choose to ignore and not see.
The existing intelligent equipment can analyze interest types of people for news information through a certain technical means and recommend more similar news information to users. However, the existing information recommendation methods are too simple to really judge whether the user is really interested in the news information, so that the information recommendation is not very suitable for the interest point of the user.
Disclosure of Invention
An embodiment of the present invention provides an information recommendation system, an information recommendation method, a computer device, and a storage medium, and aims to solve the problems in the background art.
The embodiment of the invention is realized in such a way that an information recommendation system comprises a camera and a processing terminal, wherein:
the camera is used for shooting when the user browses news information to obtain face shooting data of the user and transmitting the face shooting data to the processing terminal;
the processing terminal is used for processing the facial camera shooting data to obtain expression change data; recording the time of browsing news information by a user, and generating browsing time data; judging whether the expression change data is larger than a first preset threshold value or not, judging whether the browsing time data is larger than a second preset threshold value or not, and judging that the user is interested in the news information when the expression change data is larger than the first preset threshold value and the browsing time data is larger than the second preset threshold value; acquiring type data of the news information; and recommending news to the user according to the type data.
As a further limitation of the technical solution of the embodiment of the present invention, the processing terminal specifically includes:
the expression change data generation unit is used for processing the facial camera shooting data to obtain expression change data;
the browsing time data generating unit is used for recording the time of browsing news information by a user and generating browsing time data;
the interest judging unit is used for judging whether the expression change data is larger than a first preset threshold value or not, judging whether the browsing time data is larger than a second preset threshold value or not, and judging that the user is interested in the news information when the expression change data is larger than the first preset threshold value and the browsing time data is larger than the second preset threshold value;
the type data acquisition unit is used for acquiring type data of the news information; and
and the news recommending unit is used for recommending news to the user according to the type data.
As a further limitation of the technical solution of the embodiment of the present invention, the expression change data generating unit specifically includes:
the facial camera shooting data is used for acquiring facial camera shooting data of the facial features of the user;
the feature point change calculation module is used for calculating the change value of the feature points of the five sense organs according to the feature point data of the five sense organs and the facial camera shooting data to obtain the feature point change quantity; and
and the expression change data generation module is used for generating expression change data according to the characteristic point variation.
As a further limitation of the technical solution of the embodiment of the present invention, the feature point generation module specifically includes:
the image processing submodule is used for carrying out imaging processing and screening on the facial camera shooting data to obtain a facial image;
the facial image positioning sub-module is used for positioning the facial image to obtain a facial image positioning sub-module; and
and the feature point generation submodule is used for extracting feature points of the facial features positioning image to obtain facial features feature point data.
As a further limitation of the technical solution of the embodiment of the present invention, the interest determination unit specifically includes:
the first preset threshold value comparison module is used for judging whether the expression change data is larger than a first preset threshold value or not;
the second preset threshold value comparison module is used for judging whether the browsing time data is greater than a second preset threshold value or not; and
and the user interest judging module is used for judging that the user is interested in the news information when the expression change data is larger than a first preset threshold and the browsing time data is larger than a second preset threshold.
An information recommendation method is applied to a processing terminal, and specifically comprises the following steps:
processing the facial camera shooting data to obtain expression change data;
recording the time of browsing news information by a user, and generating browsing time data;
judging whether the expression change data is larger than a first preset threshold value or not, judging whether the browsing time data is larger than a second preset threshold value or not, and judging that the user is interested in the news information when the expression change data is larger than the first preset threshold value and the browsing time data is larger than the second preset threshold value;
acquiring type data of the news information;
and recommending news to the user according to the type data.
As a further limitation of the technical solution of the embodiment of the present invention, the step of processing the facial image data to obtain expression change data specifically includes:
extracting the features of the five sense organs of the user according to the facial camera shooting data to obtain feature point data of the five sense organs;
calculating the change value of the feature points of the five sense organs according to the feature point data of the five sense organs and the facial camera shooting data to obtain the change amount of the feature points;
and generating expression change data according to the feature point variation.
As a further limitation of the technical solution of the embodiment of the present invention, the step of extracting features of the facial features of the user according to the facial image capturing data to obtain feature point data of the facial features specifically includes:
carrying out imaging processing and screening on the face camera shooting data to obtain a face image;
performing facial feature positioning on the facial image to obtain a facial feature positioning image;
extracting feature points of the facial features positioning image to obtain facial features feature point data
A computer arrangement comprising a memory and a processor, the memory having stored therein a computer program which, when executed by the processor, causes the processor to carry out the steps of the information recommendation method of any of claims 6 to 8.
A storage medium having stored thereon a computer program which, when executed by a processor, causes the processor to carry out the steps of the information recommendation method of any one of claims 6 to 8.
Compared with the prior art, the invention has the beneficial effects that:
the information recommendation method provided by the embodiment of the invention processes the facial camera shooting data to obtain expression change data; recording the time of browsing news information by a user, and generating browsing time data; judging whether the expression change data is larger than a first preset threshold value or not, judging whether the browsing time data is larger than a second preset threshold value or not, and judging that the user is interested in the news information when the expression change data is larger than the first preset threshold value and the browsing time data is larger than the second preset threshold value; acquiring type data of the news information; and recommending news to the user according to the type data. When a user browses news information, facial shooting is carried out on the user, facial expression change and browsing duration of the user are compared, whether the user is interested in the browsed news information or not is accurately judged, and therefore more similar types of news are recommended for the user.
Drawings
Fig. 1 shows an application architecture diagram of a system provided by an embodiment of the present invention.
Fig. 2 shows a block diagram of a processing terminal in the system according to the embodiment of the present invention.
Fig. 3 shows a block diagram of a representation change data generation unit in the system according to the embodiment of the present invention.
Fig. 4 shows a block diagram of a feature point generation module of a facial feature in the system according to the embodiment of the present invention.
Fig. 5 shows a block diagram of an interest determination unit in the system according to the embodiment of the present invention.
Fig. 6 shows a flow chart of a method provided by an embodiment of the invention.
Fig. 7 shows a flowchart of expression change data acquisition in the method provided by the embodiment of the present invention.
Fig. 8 shows a flowchart of feature point data acquisition of the facial features in the method provided by the embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
It can be understood that, in the prior art, the existing intelligent device can analyze interest types of people for news information through a certain technical means, and recommend more similar news information to users. However, the existing information recommendation methods are too simple to really judge whether the user is really interested in the news information, so that the information recommendation is not very suitable for the interest point of the user.
In order to solve the above problems, the embodiment of the present invention processes facial image data to obtain expression change data; recording the time of browsing news information by a user, and generating browsing time data; judging whether the expression change data is larger than a first preset threshold value or not, judging whether the browsing time data is larger than a second preset threshold value or not, and judging that the user is interested in the news information when the expression change data is larger than the first preset threshold value and the browsing time data is larger than the second preset threshold value; acquiring type data of the news information; and recommending news to the user according to the type data. When a user browses news information, facial shooting is carried out on the user, facial expression change and browsing duration of the user are compared, whether the user is interested in the browsed news information or not is accurately judged, and therefore more similar types of news are recommended for the user.
Specifically, as shown in fig. 1, fig. 1 is a diagram illustrating an application architecture of a system provided by an embodiment of the present invention.
In a preferred embodiment provided by the present invention, an information recommendation system includes a camera 101 and a processing terminal 102, where:
the camera 101 is configured to capture images when the user browses news information, obtain facial image capture data of the user, and transmit the facial image capture data to the processing terminal.
It is understood that the lens of the camera 101 can be directed toward the user's face when the user browses news information, so that a shooting job can be performed when the user browses news information, face camera data of the user can be acquired, and the face camera data can be transmitted to the processing terminal.
The processing terminal 102 is used for processing the facial camera shooting data to obtain expression change data; recording the time of browsing news information by a user, and generating browsing time data; judging whether the expression change data is larger than a first preset threshold value or not, judging whether the browsing time data is larger than a second preset threshold value or not, and judging that the user is interested in the news information when the expression change data is larger than the first preset threshold value and the browsing time data is larger than the second preset threshold value; acquiring type data of the news information; and recommending news to the user according to the type data.
It can be understood that the processing terminal 102 can process the facial camera data, and can determine whether the user is interested in the currently browsed news information according to the processing result of the facial camera data and the recorded time of the user browsing the news information, record the type of the news information when determining that the user is interested in the currently browsed news information, and recommend more similar types of news information to the user. The processing terminal 102 may be an independent physical server or terminal, may also be a server cluster formed by a plurality of physical servers, and may be a cloud server providing basic cloud computing services such as a cloud server, a cloud database, a cloud storage, and a CDN.
Specifically, fig. 2 shows a block diagram of a processing terminal 102 in the system according to the embodiment of the present invention.
In a preferred embodiment provided by the present invention, the processing terminal 102 specifically includes:
and an expression change data generation unit 1021, configured to process the facial image capturing data to obtain expression change data.
In the embodiment of the present invention, the expression change data generation unit 1021 processes the face image data captured and transmitted by the camera 101, and obtains expression change data when the user browses the piece of news information.
It can be understood that the change of the facial expression of the user when browsing the news information can reflect whether the user carefully reads the news information to a certain extent. For example, when a user is reading news information that causes harm to people in a war conflict, the user may show sad expressions; when the user reads news information of game wins, the user can show a happy expression; when the user reads the news information which is not sensed by the user, the user usually shows a very indifferent expression.
Specifically, fig. 3 shows a block diagram of the representation change data generation unit 1021 in the system according to the embodiment of the present invention.
In a preferred embodiment of the present invention, the expression change data generating unit 1021 specifically includes:
a facial feature point generating module 10211, configured to extract facial features of the user according to the facial image capturing data to obtain facial feature point data.
In the embodiment of the present invention, the feature point generation module 10211 processes the facial image data captured and transmitted by the camera 101, extracts the features of the five sense organs in the facial image data, and obtains feature point data of the five sense organs of the user.
It is to be understood that the feature point data of the five sense organs is feature data on the shape of the user's five sense organs and the distance between the five sense organs, reflecting the shape of the user's five sense organs and the distance between the five sense organs when the user is bland.
Specifically, fig. 4 shows a block diagram of a five-sense organ feature point generation module 10211 in the system according to the embodiment of the present invention.
In a preferred embodiment provided by the present invention, the facial feature point generation module 10211 specifically includes:
and an image processing sub-module 102111, configured to perform image processing and screening on the facial image data to obtain a facial image.
In the embodiment of the present invention, the image processing sub-module 102111 performs image processing on the facial image data captured and transmitted by the camera 101 to obtain a picture of the facial image of the user, and screens out the facial image that reflects the user's absence of expression.
And a facial feature positioning sub-module 102112, configured to perform facial feature positioning on the facial image to obtain a facial feature positioning image.
In the embodiment of the present invention, the facial features of the user in the facial image are located by the facial features location sub-module 102112, resulting in a facial features location image that reflects the user's absence of expressions.
And the feature point generating submodule 102113 is configured to perform feature point extraction on the facial features positioning image to obtain facial features feature point data.
In the embodiment of the present invention, the feature point generation submodule 102113 performs feature point extraction on the facial features location image reflecting the user when the user is expressionless, and obtains facial features feature point data of the user.
Further, in a preferred embodiment of the present invention, the expression change data generation unit 1021 further includes:
a feature point change calculation module 10212, configured to calculate a change value of feature points of five sense organs according to the feature point data of five sense organs and the facial image capturing data, so as to obtain a feature point change amount.
In this embodiment of the present invention, the feature point change calculation module 10212 may calculate a change value of feature points of the five sense organs according to the feature point data of the five sense organs and the facial image data to obtain a feature point change amount, so as to analyze a change of shape of the five sense organs and a change of distance between the five sense organs when the user browses the news information.
The expression change data generating module 10213 is configured to generate expression change data according to the feature point variation.
In the embodiment of the present invention, the expression change data generating module 10213 generates expression change data when the user browses the piece of news information according to the variation amount of the feature point, where the variation amount of the feature point reflects the variation of the shape of five sense organs and the variation of the distance between five sense organs when the user browses the piece of news information, so as to represent the expression change of the user.
Further, in a preferred embodiment provided by the present invention, the processing terminal 102 further includes:
the browsing time data generating unit 1022 is configured to record the time when the user browses the news information, and generate browsing time data.
In the embodiment of the present invention, when the user browses the news information, the browsing time data generating unit 1022 records the browsing time of the user, and generates browsing time data when the user browses the news information.
It is to be understood that the browsing time data is time data from when the user turns on the piece of news information to when the piece of news information is turned off. Because the number of words of the news information appearing on the intelligent device is basically not much, the browsing time of a piece of news information can reflect whether a user carefully reads the news information, and the longer the browsing time is, the more interesting the user is to the news information.
An interest determining unit 1023, configured to determine whether the expression change data is greater than a first preset threshold, determine whether the browsing time data is greater than a second preset threshold, and determine that the user is interested in the news information when the expression change data is greater than the first preset threshold and the browsing time data is greater than the second preset threshold.
In this embodiment of the present invention, the interest determination unit 1023 can compare the expression change data and the browsing time data with a first preset threshold and a second preset threshold, respectively, and when the expression change data is greater than the first preset threshold and the browsing time data is greater than the second preset threshold, the interest determination unit 1023 determines that the user is interested in the browsing news information.
It is understood that the first preset threshold and the second preset threshold are comparison criteria for the expression change data and the browsing time data, respectively. When the expression change data is larger than a first preset threshold value, it can be judged that the expression change occurs when the user browses the news information; when the browsing time data is larger than a second preset threshold value, the time length of the user browsing the news information can be judged to meet the interested time length. When the above two conditions are satisfied, the interest determination unit 1023 may determine that the user is interested in the browsing news information.
Specifically, fig. 5 shows a block diagram of the interest determination unit 1023 in the system according to the embodiment of the invention.
In an embodiment of the present invention, the interest determination unit specifically includes:
and a first preset threshold comparison module 10231, configured to determine whether the expression change data is greater than a first preset threshold.
In this embodiment of the present invention, the first preset threshold is a comparison standard for expression change data, and the first preset threshold comparison module 10231 compares the expression change data with the first preset threshold to determine whether the expression change data is greater than the first preset threshold.
And a second preset threshold comparison module 10232, configured to determine whether the browsing time data is greater than a second preset threshold.
In this embodiment of the present invention, the second preset threshold is a comparison standard for the browsing time data, and the second preset threshold comparing module 10232 compares the browsing time data with the second preset threshold to determine whether the browsing time data is greater than the second preset threshold.
And the user interest determination module 10233 is configured to determine that the user is interested in the news information when the expression change data is greater than a first preset threshold and the browsing time data is greater than a second preset threshold.
In this embodiment of the present invention, the user interest determination module 10233 may determine that the user is interested in the currently browsed news information only when the expression change data is greater than the first preset threshold and the browsing time data is greater than the second preset threshold.
Further, in a preferred embodiment provided by the present invention, the processing terminal 102 further includes:
a type data obtaining unit 1024, configured to obtain type data of the news information.
In this embodiment of the present invention, the type data obtaining unit 1024 may obtain the type data of the news information currently browsed by the user by extracting the keyword of the news information browsed by the user and matching the keyword with a preset type library.
And the news recommending unit 1025 is used for recommending news to the user according to the type data.
In the embodiment of the present invention, the news recommending unit 1025 selects news information with similar news types to recommend to the user through the type data.
Further, fig. 6 shows a flowchart of a method provided by the embodiment of the present invention.
In another preferred embodiment provided by the present invention, an information recommendation method is applied to the processing terminal 102, and the method specifically includes:
and step S101, processing the facial image pickup data to obtain expression change data.
In the embodiment of the present invention, facial image data captured and transmitted by the camera 101 is processed to obtain expression change data when the user browses the news information.
Specifically, fig. 7 shows a flowchart of expression change data acquisition in the method provided by the embodiment of the present invention.
In a preferred embodiment of the present invention, the step of processing the facial image data to obtain expression change data specifically includes:
step S1011, extracting the features of the five sense organs of the user according to the face camera shooting data to obtain the data of the feature points of the five sense organs.
In the embodiment of the present invention, the facial image data captured and transmitted by the camera 101 is processed, and the facial feature of the user in the facial image data is extracted to obtain the data of the facial feature point of the user.
Specifically, fig. 8 shows a flowchart of acquiring feature point data of five sense organs in the method according to the embodiment of the present invention.
In a preferred embodiment of the present invention, the step of extracting features of the facial features of the user according to the facial imaging data to obtain feature point data of the facial features specifically includes:
step S10111, performing imaging processing and screening on the face image data to obtain a face image.
In the embodiment of the present invention, the facial image data captured and transmitted by the camera 101 is processed into an image, a picture of the facial image of the user is obtained, and the facial image reflecting the user's blankness is screened out.
And S10112, carrying out facial feature positioning on the facial image to obtain a facial feature positioning image.
In the embodiment of the invention, facial features of a user in the facial image are positioned to obtain the facial feature positioning image reflecting the user in the case of no expression.
Step S10113, extracting feature points of the facial features positioning image to obtain facial features feature point data.
In the embodiment of the invention, feature point extraction is carried out on the facial features positioning image reflecting the user when the user is expressionless, and facial features feature point data of the user is obtained.
Further, in a preferred embodiment of the present invention, the step of processing the face image data to obtain expression change data further includes:
step S1012, calculating a variation value of the feature points of the five sense organs according to the feature point data of the five sense organs and the face image data, to obtain a variation amount of the feature points.
In the embodiment of the present invention, the change value of the feature point of the five sense organs can be calculated according to the feature point data of the five sense organs and the facial image data to obtain the variation of the feature point, so as to analyze the change of the shape of the five sense organs and the change of the distance between the five sense organs when the user browses the news information.
And S1013, generating expression change data according to the feature point variation.
In the embodiment of the invention, expression change data of the user when browsing the news information is generated according to the feature point variation.
Further, in a preferred embodiment provided by the present invention, the method further comprises:
and step S102, recording the time of the user for browsing the news information, and generating browsing time data.
In the embodiment of the invention, when the user browses the news information, the browsing time of the user is recorded, and the browsing time data of the user when browsing the news information is generated.
Step S103, judging whether the expression change data is larger than a first preset threshold value, judging whether the browsing time data is larger than a second preset threshold value, and judging that the user is interested in the news information when the expression change data is larger than the first preset threshold value and the browsing time data is larger than the second preset threshold value.
In the embodiment of the invention, the expression change data and the browsing time data can be respectively compared with the first preset threshold and the second preset threshold, and when the expression change data is greater than the first preset threshold and the browsing time data is greater than the second preset threshold, the fact that the user is interested in the browsing news information is judged.
And step S104, acquiring the type data of the news information.
In the embodiment of the invention, the keyword of the news information browsed by the user can be extracted, and the keyword is matched with the preset type library to obtain the type data of the news information browsed by the user currently.
And step S105, recommending news to the user according to the type data.
In the embodiment of the invention, news information with similar news types is selected and recommended to the user through the type data.
In the embodiment of the invention, expression change data is obtained by processing the facial camera shooting data; recording the time of browsing news information by a user, and generating browsing time data; judging whether the expression change data is larger than a first preset threshold value or not, judging whether the browsing time data is larger than a second preset threshold value or not, and judging that the user is interested in the news information when the expression change data is larger than the first preset threshold value and the browsing time data is larger than the second preset threshold value; acquiring type data of the news information; and recommending news to the user according to the type data. When a user browses news information, facial shooting is carried out on the user, facial expression change and browsing duration of the user are compared, whether the user is interested in the browsed news information or not is accurately judged, and therefore more similar types of news are recommended for the user.
It should be understood that, although the steps in the flowcharts of the embodiments of the present invention are shown in sequence as indicated by the arrows, the steps are not necessarily performed in sequence as indicated by the arrows. The steps are not performed in the exact order shown and described, and may be performed in other orders, unless explicitly stated otherwise. Moreover, at least a portion of the steps in various embodiments may include multiple sub-steps or multiple stages that are not necessarily performed at the same time, but may be performed at different times, and the order of performance of the sub-steps or stages is not necessarily sequential, but may be performed in turn or alternately with other steps or at least a portion of the sub-steps or stages of other steps.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by a computer program, which can be stored in a non-volatile computer-readable storage medium, and can include the processes of the embodiments of the methods described above when the program is executed. Any reference to memory, storage, database, or other medium used in the embodiments provided herein may include non-volatile and/or volatile memory, among others. Non-volatile memory can include read-only memory (ROM), Programmable ROM (PROM), Electrically Programmable ROM (EPROM), Electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), Dynamic RAM (DRAM), Synchronous DRAM (SDRAM), Double Data Rate SDRAM (DDRSDRAM), Enhanced SDRAM (ESDRAM), Synchronous Link DRAM (SLDRAM), Rambus Direct RAM (RDRAM), direct bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).
The technical features of the embodiments described above may be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the embodiments described above are not described, but should be considered as being within the scope of the present specification as long as there is no contradiction between the combinations of the technical features.
The above-mentioned embodiments only express several embodiments of the present invention, and the description thereof is more specific and detailed, but not construed as limiting the scope of the present invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the inventive concept, which falls within the scope of the present invention. Therefore, the protection scope of the present patent shall be subject to the appended claims.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents and improvements made within the spirit and principle of the present invention are intended to be included within the scope of the present invention.

Claims (10)

1. An information recommendation system, characterized in that the system comprises a camera and a processing terminal, wherein:
the camera is used for shooting when the user browses news information to obtain face shooting data of the user and transmitting the face shooting data to the processing terminal;
the processing terminal is used for processing the facial camera shooting data to obtain expression change data; recording the time of browsing news information by a user, and generating browsing time data; judging whether the expression change data is larger than a first preset threshold value or not, judging whether the browsing time data is larger than a second preset threshold value or not, and judging that the user is interested in the news information when the expression change data is larger than the first preset threshold value and the browsing time data is larger than the second preset threshold value; acquiring type data of the news information; and recommending news to the user according to the type data.
2. The information recommendation system according to claim 1, wherein the processing terminal specifically comprises:
the expression change data generation unit is used for processing the facial camera shooting data to obtain expression change data;
the browsing time data generating unit is used for recording the time of browsing news information by a user and generating browsing time data;
the interest judging unit is used for judging whether the expression change data is larger than a first preset threshold value or not, judging whether the browsing time data is larger than a second preset threshold value or not, and judging that the user is interested in the news information when the expression change data is larger than the first preset threshold value and the browsing time data is larger than the second preset threshold value;
the type data acquisition unit is used for acquiring type data of the news information; and
and the news recommending unit is used for recommending news to the user according to the type data.
3. The information recommendation system according to claim 2, wherein the expression change data generation unit specifically comprises:
the facial camera shooting data is used for acquiring facial camera shooting data of the facial features of the user;
the feature point change calculation module is used for calculating the change value of the feature points of the five sense organs according to the feature point data of the five sense organs and the facial camera shooting data to obtain the feature point change quantity; and
and the expression change data generation module is used for generating expression change data according to the characteristic point variation.
4. The information recommendation system according to claim 3, wherein the feature point generation module specifically comprises:
the image processing submodule is used for carrying out imaging processing and screening on the facial camera shooting data to obtain a facial image;
the facial image positioning sub-module is used for positioning the facial image to obtain a facial image positioning sub-module; and
and the feature point generation submodule is used for extracting feature points of the facial features positioning image to obtain facial features feature point data.
5. The information recommendation system according to claim 2, wherein the interest determination unit specifically comprises:
the first preset threshold value comparison module is used for judging whether the expression change data is larger than a first preset threshold value or not;
the second preset threshold value comparison module is used for judging whether the browsing time data is greater than a second preset threshold value or not; and
and the user interest judging module is used for judging that the user is interested in the news information when the expression change data is larger than a first preset threshold and the browsing time data is larger than a second preset threshold.
6. An information recommendation method is applied to a processing terminal, and specifically comprises the following steps:
processing the facial camera shooting data to obtain expression change data;
recording the time of browsing news information by a user, and generating browsing time data;
judging whether the expression change data is larger than a first preset threshold value or not, judging whether the browsing time data is larger than a second preset threshold value or not, and judging that the user is interested in the news information when the expression change data is larger than the first preset threshold value and the browsing time data is larger than the second preset threshold value;
acquiring type data of the news information;
and recommending news to the user according to the type data.
7. The information recommendation method according to claim 6, wherein the step of processing the facial image data to obtain expression change data specifically comprises:
extracting the features of the five sense organs of the user according to the facial camera shooting data to obtain feature point data of the five sense organs;
calculating the change value of the feature points of the five sense organs according to the feature point data of the five sense organs and the facial camera shooting data to obtain the change amount of the feature points;
and generating expression change data according to the feature point variation.
8. The information recommendation method according to claim 6, wherein the step of extracting features of the five sense organs of the user according to the facial image data to obtain the data of the feature points of the five sense organs specifically comprises:
carrying out imaging processing and screening on the face camera shooting data to obtain a face image;
performing facial feature positioning on the facial image to obtain a facial feature positioning image;
and extracting feature points of the facial features positioning image to obtain facial features feature point data.
9. A computer arrangement, characterized by comprising a memory and a processor, the memory having stored therein a computer program which, when executed by the processor, causes the processor to carry out the steps of the information recommendation method according to any one of claims 6 to 8.
10. A storage medium having stored thereon a computer program which, when executed by a processor, causes the processor to carry out the steps of the information recommendation method according to any one of claims 6 to 8.
CN202110691507.6A 2021-06-22 2021-06-22 Information recommendation system, method, computer equipment and storage medium Pending CN113297499A (en)

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Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114564675A (en) * 2022-04-28 2022-05-31 深圳格隆汇信息科技有限公司 Information recommendation method and device and storage medium
CN115098782A (en) * 2022-07-15 2022-09-23 北京创世路信息技术有限公司 Information recommendation method and system based on multi-party interaction technology

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107203897A (en) * 2017-04-24 2017-09-26 广东数相智能科技有限公司 A kind of evaluation method of Products Show degree, apparatus and system
CN109583970A (en) * 2018-12-14 2019-04-05 深圳壹账通智能科技有限公司 Advertisement placement method, device, computer equipment and storage medium
CN109766491A (en) * 2018-12-18 2019-05-17 深圳壹账通智能科技有限公司 Product search method, device, computer equipment and storage medium
CN110046540A (en) * 2018-12-29 2019-07-23 广州二元科技有限公司 A method of user emotion is judged according to browsing history and Expression Recognition
CN110648170A (en) * 2019-09-02 2020-01-03 平安科技(深圳)有限公司 Article recommendation method and related device
CN112348640A (en) * 2020-11-12 2021-02-09 北京科技大学 Online shopping system and method based on facial emotion state analysis

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107203897A (en) * 2017-04-24 2017-09-26 广东数相智能科技有限公司 A kind of evaluation method of Products Show degree, apparatus and system
CN109583970A (en) * 2018-12-14 2019-04-05 深圳壹账通智能科技有限公司 Advertisement placement method, device, computer equipment and storage medium
CN109766491A (en) * 2018-12-18 2019-05-17 深圳壹账通智能科技有限公司 Product search method, device, computer equipment and storage medium
CN110046540A (en) * 2018-12-29 2019-07-23 广州二元科技有限公司 A method of user emotion is judged according to browsing history and Expression Recognition
CN110648170A (en) * 2019-09-02 2020-01-03 平安科技(深圳)有限公司 Article recommendation method and related device
CN112348640A (en) * 2020-11-12 2021-02-09 北京科技大学 Online shopping system and method based on facial emotion state analysis

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
葛敏敏: "基于微信新媒体运营中盈利模式的研究", 《时代金融》 *

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114564675A (en) * 2022-04-28 2022-05-31 深圳格隆汇信息科技有限公司 Information recommendation method and device and storage medium
CN114564675B (en) * 2022-04-28 2022-07-22 深圳格隆汇信息科技有限公司 Information recommendation method and device and storage medium
CN115098782A (en) * 2022-07-15 2022-09-23 北京创世路信息技术有限公司 Information recommendation method and system based on multi-party interaction technology
CN115098782B (en) * 2022-07-15 2022-11-18 北京创世路信息技术有限公司 Information recommendation method and system based on multi-party interaction technology

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Application publication date: 20210824