CN111507081A - Method and device for providing recommendation information - Google Patents
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- CN111507081A CN111507081A CN201910712329.3A CN201910712329A CN111507081A CN 111507081 A CN111507081 A CN 111507081A CN 201910712329 A CN201910712329 A CN 201910712329A CN 111507081 A CN111507081 A CN 111507081A
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- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/95—Retrieval from the web
- G06F16/953—Querying, e.g. by the use of web search engines
- G06F16/9535—Search customisation based on user profiles and personalisation
Abstract
A method and apparatus for providing recommendation information are provided. The method comprises the following steps: responding to user operation, and acquiring word segmentation results of corresponding texts; responding to the user operation, and acquiring information for limiting the text; acquiring recommendation information aiming at the text based on the text and the information; and providing the acquired word segmentation result and recommendation information. According to the method and the equipment, the accuracy of the recommendation information provided by the intelligent screen recognition function can be improved.
Description
Technical Field
The present invention relates generally to the field of electronic technology, and more particularly, to a method and apparatus for providing recommendation information.
Background
A smart screen recognition function of an electronic terminal (e.g., a smart phone, etc.) is a function capable of recognizing text displayed on a screen selected by a specific touch operation (e.g., a single finger long pressing the screen) and providing a service related to the text. For example, as shown in fig. 1, if the user presses the text "knight-errant couple" at the position shown in fig. 1, the smart panel function can automatically recognize the text selected by the user as "knight-errant couple", and perform word segmentation and recommendation service with respect to the text. However, the recommended information provided by the existing intelligent screen recognition function is not accurate enough to meet the user's needs, for example, as shown in fig. 1, the recommended information provided in fig. 1 for the text selected by the user (i.e., the recommended information about the movie drama "shencarving hero-couple" of the gutian-happy lead performance) is obviously inconsistent with the recommended information actually required by the user (i.e., the recommended information about the movie drama "shencarving hero-couple" of the huangxiao-ming lead performance).
Disclosure of Invention
An exemplary embodiment of the present invention is to provide a method and an apparatus for providing recommendation information, which can solve the problem that the recommendation information provided by the existing smart screen function is not accurate enough and does not meet the user requirement.
According to an exemplary embodiment of the present invention, there is provided a method of providing recommendation information, wherein the method includes: responding to user operation, and acquiring word segmentation results of corresponding texts; responding to the user operation, and acquiring information for limiting the text; acquiring recommendation information aiming at the text based on the text and the information; and providing the acquired word segmentation result and recommendation information.
Optionally, the information for defining the text includes: context information currently associated with the text.
Optionally, the corresponding text is a text corresponding to an object selected by the user operation, wherein the object includes at least one of: pictures, video, voice, text.
Optionally, the method further comprises: providing the acquired information for limiting the text together with the word segmentation result.
Optionally, the step of obtaining recommendation information for the text based on the text and the information includes: acquiring recommendation information corresponding to the combination of the text and the information; or screening the relevance of the information aiming at the text, and acquiring recommendation information corresponding to the combination of the text and the screened information; or, the text and the information are sent to a corresponding server, and recommendation information for the text is received from the server; or screening the relevance of the information aiming at the text, sending the text and the screened information to the server, and receiving recommendation information aiming at the text from the server.
Optionally, the context information currently associated with the text comprises at least one of: content of an image associated with the text, source information of the text, context information of the text.
Optionally, in the step of sending the text and the information to a corresponding server, an image in the information or the identified content of the image is sent to the server.
Optionally, the step of sending the text and the information to a corresponding server includes: sending the text and the information to the server according to a first preset mode so that the server can distinguish the text from the information; and/or sending the text and the information to the server according to a second preset mode so that the server can distinguish the type of the information.
Optionally, the step of sending the text and the filtered information to the server includes: sending the text and the screened information to the server according to a first preset mode so that the server can distinguish the text from the screened information; and/or sending the text and the screened information to the server according to a second preset mode, so that the server can distinguish the type of the screened information.
Optionally, the source information of the text includes at least one of a name, a type, a publisher, a type of publisher, and a type of publisher of at least one of: the source application, source web page, source public number and source applet of the text.
Optionally, the context information of the text includes: content displayed within a user interface to which the user operates and/or contextual content not displayed within the user interface.
Optionally, the image associated with the text comprises: a background image of the text and/or an illustration corresponding to the text.
According to another exemplary embodiment of the present invention, there is provided an apparatus for providing recommendation information, wherein the apparatus includes: the word segmentation result acquisition unit is used for responding to user operation and acquiring word segmentation results of corresponding texts; a restriction information acquisition unit that acquires information for restricting the text in response to the user operation; a recommendation information acquisition unit that acquires recommendation information for the text based on the text and the information; and the providing unit is used for providing the acquired word segmentation result and the recommendation information.
Optionally, the information for defining the text includes: context information currently associated with the text.
Optionally, the corresponding text is a text corresponding to an object selected by the user operation, wherein the object includes at least one of: pictures, video, voice, text. Optionally, the providing unit further provides the acquired information for defining the text together with the word segmentation result.
Optionally, the recommendation information obtaining unit obtains recommendation information corresponding to a combination of the text and the information; or, the recommendation information acquisition unit screens the relevance of the information according to the text and acquires recommendation information corresponding to a combination of the text and the screened information; or the recommendation information acquisition unit sends the text and the information to a corresponding server and receives recommendation information aiming at the text from the server; or the recommendation information acquisition unit screens the information according to the relevance of the text, sends the text and the screened information to the server, and receives recommendation information according to the text from the server.
Optionally, the context information currently associated with the text comprises at least one of: content of an image associated with the text, source information of the text, context information of the text.
Optionally, the recommendation information acquisition unit sends the image in the information or the identified content of the image to the server.
Optionally, the recommended information obtaining unit sends the text and the information to the server according to a first preset mode, so that the server can distinguish the text from the information; and/or sending the text and the information to the server according to a second preset mode so that the server can distinguish the type of the information.
Optionally, the recommendation information obtaining unit sends the text and the screened information to the server according to a first preset mode, so that the server can distinguish the text from the screened information; and/or sending the text and the screened information to the server according to a second preset mode, so that the server can distinguish the type of the screened information.
Optionally, the source information of the text includes at least one of a name, a type, a publisher, a type of publisher, and a type of publisher of at least one of: the source application, source web page, source public number and source applet of the text.
Optionally, the context information of the text includes: content displayed within a user interface to which the user operates and/or contextual content not displayed within the user interface.
Optionally, the image associated with the text comprises: a background image of the text and/or an illustration corresponding to the text.
According to another exemplary embodiment of the present invention, a computer-readable storage medium is provided, in which a computer program is stored, which, when being executed by a processor, carries out the method of providing recommendation information as set forth above.
According to another exemplary embodiment of the present invention, there is provided an electronic terminal, wherein the electronic terminal includes: a processor; a memory storing a computer program which, when executed by the processor, implements the method of providing recommendation information as described above.
According to the method and the device for providing the recommendation information, provided by the exemplary embodiment of the invention, the accuracy of the recommendation information provided by the intelligent screen recognition function can be improved, so that the user requirements are met, and the user experience is improved.
Additional aspects and/or advantages of the present general inventive concept will be set forth in part in the description which follows and, in part, will be obvious from the description, or may be learned by practice of the general inventive concept.
Drawings
The above and other objects and features of exemplary embodiments of the present invention will become more apparent from the following description taken in conjunction with the accompanying drawings which illustrate exemplary embodiments, wherein:
fig. 1 shows an example of a conventional smart screen function;
FIG. 2 illustrates a flowchart of a method of providing recommendation information according to an exemplary embodiment of the present invention;
fig. 3 and 4 illustrate an example of a method of providing recommendation information according to an exemplary embodiment of the present invention;
fig. 5 illustrates a block diagram of an apparatus for providing recommendation information according to an exemplary embodiment of the present invention.
Detailed Description
Reference will now be made in detail to the embodiments of the present invention, examples of which are illustrated in the accompanying drawings, wherein like reference numerals refer to the like elements throughout. The embodiments are described below in order to explain the present invention by referring to the figures.
Fig. 2 illustrates a flowchart of a method of providing recommendation information according to an exemplary embodiment of the present invention. The method may be implemented by a computer program. For example, the method may be performed by a functional program implemented in an operating system of the electronic terminal. As an example, the electronic terminal may be a mobile communication terminal (e.g., a smartphone), a smart wearable device (e.g., a smartwatch), or the like.
Referring to fig. 2, in step S10, in response to a user operation, a word segmentation result of a corresponding text is acquired.
As an example, the user operation may be an operation for selecting an object. By way of example, the user operation may be a touch screen operation, a gesture operation, a key operation, a voice operation, or the like, for example, the user operation may be an operation of pressing a screen with a single finger or two fingers to select an object displayed at a pressed position.
As an example, the corresponding text may be text corresponding to an object selected by the user operation, for example, the object includes at least one of: pictures, video, voice, text.
As an example, when the object selected by the user operation is a picture, the text corresponding to the selected object may be a text representation of the content recognized from the picture, and may include at least one of the following items, for example: the name of the person identified from the face in the picture, the name of the thing identified from the picture and/or the geographical location where it is located (e.g., the place name corresponding to the landscape picture, the name of the landmark building in the picture and the geographical location where it is located), the text in the picture, the type of content in the picture (e.g., style type), the product name of the good identified from the picture and/or the provider corresponding thereto. For example, genre types may include: movie posters, animation, video frames, and the like.
As an example, when the object selected by the user operation is a voice message, the text corresponding to the selected object may be text into which the voice message is converted.
As an example, when the object selected by the user operation is a text, the text corresponding to the selected object may be itself.
As an example, the word segmentation results for text may include separate words into which the text is semantically split.
In step S20, in response to the user operation, information for defining the text is acquired.
As an example, the information for defining the text may include: context information currently associated with the text.
As an example, the context information currently associated with the text may include at least one of: content of an image associated with the text, source information of the text, context information of the text. It should be understood that the context information currently associated with the text may also include other types of information.
As an example, the source information of the text may include information related to at least one of: the source application, source web page, source public number and source applet of the text. As an example, the related information may include at least one of: name, type, publisher, type of publisher, and type of publisher (e.g., tag of publisher). For example, the type of source application may include at least one of: an application for playing video, an application for playing audio, an application for reading. For example, the type of publisher of the source web page may include at least one of: movie fans, book fans, chase fans, music fans. For example, when the publisher of the source public number and source applet is a company, the types of publishers of the source public number and source applet may include: the type of operation of the company and/or the type of products operated by the company.
As an example, the context information of the text may include: content displayed within a user interface to which the user operates and/or contextual content not displayed within the user interface (e.g., historical chat logs, etc.). In other words, the context information of the text may include: upon receiving the user operation, content displayed on the user interface and/or other content that the user interface fails to display at the time.
As an example, the image associated with the text may include: a background image of the text and/or an illustration corresponding to the text.
As an example, the content of the image associated with the text may include at least one of the following: the name of the person identified by the face, the name of the thing identified from the image and/or the geographical location where the thing is located (e.g., the place name corresponding to the landscape image, the name of the landmark building in the image and the geographical location where the landmark building is located), the text in the image, the type of the content in the image (e.g., genre type), the product name of the commodity identified from the image and/or the provider corresponding thereto, and the like. For example, genre types may include: movie posters, animation, video frames, and the like.
In step S30, recommendation information for the text is acquired based on the text and the information.
As an example, the recommendation information for the text may be various appropriate recommendation information for the text, and for example, service information such as express delivery information, travel information, hotel information, and specific introduction information may be used.
As an example, recommendation information corresponding to a combination of the text and the information may be acquired.
As an example, the information may be subjected to relevance screening with respect to the text, and recommendation information corresponding to a combination of the text and the screened information with a higher relevance may be acquired. It should be understood that the higher the association between the information defining the text and the text, the greater the probability of being screened out.
It should be understood that the association degree between the information for defining the text and the text can be obtained in various suitable manners, for example, the association degree between the information for defining the text and the text can be obtained in a machine learning manner (for example, a suitable machine learning model is constructed in advance).
As an example, the text and the information may be transmitted to a corresponding server, and recommendation information for the text may be received from the server.
As an example, an image in the information or the identified content of the image may be sent to the server. In other words, the image included in the information may be directly transmitted to the server, and the content in the image may be recognized by the server, or the content of the image may be recognized by the electronic terminal and the recognized content may be transmitted to the server.
As an example, the text and the information may be sent to the server in a first preset manner to enable the server to distinguish the text from the information; and/or sending the text and the information to the server according to a second preset mode so that the server can distinguish the type of the information. As an example, the type of information may include at least one of: content of an image associated with the text, source information of the text, context information of the text.
The first preset manner may be various suitable manners enabling the server to distinguish between the text and the information for defining the text, and may be, for example, adding different identification information to the text and the information for defining the text, respectively, to indicate which part is the text and which part is the information for defining the text, or adding identification information only to the information for defining the text; or, the first preset mode may be that the text and the information for defining the text are sent in sequence according to a preset order.
The second preset manner may be various appropriate manners enabling the server to distinguish the type of the information for defining the text, and as an example, the second preset manner may be to add different identification information to different types of information for defining the text, respectively.
As an example, the information may be subjected to relevance screening for the text, the text and the screened information may be sent to the server, and recommendation information for the text may be received from the server.
As an example, the text and the screened information may be sent to the server in a first preset manner, so that the server can distinguish the text from the screened information; and/or sending the text and the screened information to the server according to a second preset mode, so that the server can distinguish the type of the screened information.
In step S40, the acquired word segmentation result and recommendation information are provided.
It should be appreciated that the retrieved word segmentation results and recommendation information may be provided to the user in a variety of suitable manners.
As an example, the method of providing recommendation information according to an exemplary embodiment of the present invention may further include: providing the acquired information for defining the text. As an example, the obtained information for defining the text may be provided together with the word segmentation result. As an example, information for defining the text, which is screened out according to the degree of association, may be provided together with the word segmentation result.
Fig. 3 illustrates an example of a method of providing recommendation information according to an exemplary embodiment of the present invention. As shown in fig. 3, in response to a user operation of selecting the text "lovers of a carving book" at the position shown in fig. 3, scene information currently associated with the text is acquired, and the scene information currently associated with the text may include: the contents of the illustration corresponding to the text (i.e., "gutianle" and "plum throngtong" characters identified by face recognition on the illustration) and the name of the source webpage of the text (i.e., the avid martial arts tv series); then, recommendation information for the television series 'superjacent swordsman companion' of the gutian music and the li jockey can be obtained and provided based on the text 'superjacent swordsman' and the scene information currently associated with the text. In addition, when the word segmentation result and the recommendation information acquired for the text are provided to the user, the scene information currently associated with the text may also be provided to the user together with the word segmentation result.
Fig. 4 illustrates an example of a method of providing recommendation information according to an exemplary embodiment of the present invention. As shown in fig. 4, in response to a user operation of selecting the text "closing presentation" at the position shown in fig. 4, scene information currently associated with the text is acquired, and the scene information currently associated with the text may include: the name and type of the source application of the text (i.e., the artist, the video playback), the content displayed within the user interface to which the user operates (e.g., the family of seals also includes the hero seal and the hero seal); because the relevance between the scene information 'curiosity art' and the text 'god performance' is determined to be high, and the relevance between the scene information 'god series' including god hero and god hero list 'and the text' god performance 'is low, the recommendation information for the movie & TV' god performance 'can be acquired and provided based on the scene information' curiosity art 'and the text' high in relevance, and the recommendation information for the book 'god performance' can not be provided for the user only according to the text 'god performance' in the prior art.
According to the embodiment of the invention, the recommendation information actually required by the user can be more accurately analyzed, and the accuracy of the pushing service of the intelligent screen recognition function is improved.
Fig. 5 illustrates a block diagram of an apparatus for providing recommendation information according to an exemplary embodiment of the present invention.
As shown in fig. 5, an apparatus for providing recommendation information according to an exemplary embodiment of the present invention includes: a segmentation result acquisition unit 10, a restriction information acquisition unit 20, a recommendation information acquisition unit 30, and a providing unit 40.
The segmentation result obtaining unit 10 is configured to obtain a segmentation result of a corresponding text in response to a user operation.
As an example, the corresponding text may be text corresponding to an object selected by the user operation, for example, the object includes at least one of: pictures, video, voice, text.
The definition information acquiring unit 20 is configured to acquire information for defining the text in response to the user operation.
As an example, the information for defining the text may include: context information currently associated with the text.
As an example, the context information currently associated with the text may include at least one of: content of an image associated with the text, source information of the text, context information of the text.
As an example, the source information of the text may include at least one of a name, a type, a publisher, a type of publisher, and a type of publisher of at least one of: the source application, source web page, source public number and source applet of the text.
As an example, the context information of the text may include: content displayed within a user interface to which the user operates and/or contextual content not displayed within the user interface.
As an example, the image associated with the text may include: a background image of the text and/or an illustration corresponding to the text.
The recommendation information obtaining unit 30 is configured to obtain recommendation information for the text based on the text and the information.
As an example, the recommendation information acquisition unit 30 may acquire recommendation information corresponding to a combination of the text and the information; alternatively, the recommendation information obtaining unit 30 may perform relevance screening on the information with respect to the text, and obtain recommendation information corresponding to a combination of the text and the screened information; alternatively, the recommendation information acquisition unit 30 may transmit the text and the information to a corresponding server, and receive recommendation information for the text from the server; alternatively, the recommendation information acquisition unit 30 may perform relevance screening on the information with respect to the text, send the text and the screened information to the server, and receive recommendation information for the text from the server.
As an example, the recommendation information acquisition unit 30 may transmit an image in the information or the identified content of the image to the server.
As an example, the recommendation information acquisition unit 30 may transmit the text and the information to the server in a first preset manner to enable the server to distinguish the text from the information; and/or sending the text and the information to the server according to a second preset mode so that the server can distinguish the type of the information.
As an example, the recommendation information obtaining unit 30 may send the text and the filtered information to the server according to a first preset manner, so that the server can distinguish the text from the filtered information; and/or sending the text and the screened information to the server according to a second preset mode, so that the server can distinguish the type of the screened information.
The providing unit 40 is used for providing the obtained word segmentation result and recommendation information.
As an example, the providing unit 40 may further provide the acquired information for defining the text together with the word segmentation result.
It should be understood that the apparatus for providing recommendation information according to an exemplary embodiment of the present invention may perform the methods described with reference to fig. 2 to 4, and thus, in order to avoid repetition, will not be described herein again.
Further, it should be understood that each unit in the apparatus for providing recommendation information according to an exemplary embodiment of the present invention may be implemented as a hardware component and/or a software component. The individual units may be implemented, for example, using Field Programmable Gate Arrays (FPGAs) or Application Specific Integrated Circuits (ASICs), depending on the processing performed by the individual units as defined by the skilled person.
The computer-readable storage medium according to an exemplary embodiment of the present invention stores a computer program that, when executed by a processor, causes the processor to perform the method of providing recommendation information of the above-described exemplary embodiment. The computer readable storage medium is any data storage device that can store data which can be read by a computer system. Examples of computer-readable storage media include: read-only memory, random access memory, read-only optical disks, magnetic tapes, floppy disks, optical data storage devices, and carrier waves (such as data transmission through the internet via wired or wireless transmission paths).
An electronic terminal according to an exemplary embodiment of the present invention includes: a processor (not shown) and a memory (not shown), wherein the memory stores a computer program which, when executed by the processor, implements the method of providing recommendation information as in the above exemplary embodiments.
Although a few exemplary embodiments of the present invention have been shown and described, it would be appreciated by those skilled in the art that changes may be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the claims and their equivalents.
Claims (10)
1. A method of providing recommendation information, wherein the method comprises:
responding to user operation, and acquiring word segmentation results of corresponding texts;
responding to the user operation, and acquiring information for limiting the text;
acquiring recommendation information aiming at the text based on the text and the information;
and providing the acquired word segmentation result and recommendation information.
2. The method of claim 1, wherein the information defining the text comprises: scene information currently associated with the text;
and/or the corresponding text is a text corresponding to the object selected by the user operation, wherein the object comprises at least one of the following items: pictures, video, voice, text;
and/or, the method further comprises: providing the acquired information for limiting the text together with the word segmentation result;
and/or the step of obtaining recommendation information for the text based on the text and the information comprises:
acquiring recommendation information corresponding to the combination of the text and the information;
or screening the relevance of the information aiming at the text, and acquiring recommendation information corresponding to the combination of the text and the screened information;
or, the text and the information are sent to a corresponding server, and recommendation information for the text is received from the server;
or screening the relevance of the information aiming at the text, sending the text and the screened information to the server, and receiving recommendation information aiming at the text from the server.
3. The method of claim 2, wherein the context information currently associated with the text comprises at least one of: content of an image associated with the text, source information of the text, context information of the text;
and/or, in the step of sending the text and the information to the corresponding server, sending the image in the information or the identified content of the image to the server;
and/or the step of sending the text and the information to a corresponding server comprises: sending the text and the information to the server according to a first preset mode so that the server can distinguish the text from the information; and/or sending the text and the information to the server according to a second preset mode so that the server can distinguish the type of the information;
and/or the step of sending the text and the screened information to the server comprises: sending the text and the screened information to the server according to a first preset mode so that the server can distinguish the text from the screened information; and/or sending the text and the screened information to the server according to a second preset mode, so that the server can distinguish the type of the screened information.
4. The method of claim 3, wherein the source information of the text comprises at least one of a name, a type, a publisher, a type of publisher, and a type of publisher of at least one of: the source application, the source webpage, the source public number and the source applet of the text;
and/or the context information of the text comprises: content displayed within a user interface to which the user operation is directed and/or contextual content not displayed within the user interface;
and/or, the image associated with the text comprises: a background image of the text and/or an illustration corresponding to the text.
5. An apparatus for providing recommendation information, wherein the apparatus comprises:
the word segmentation result acquisition unit is used for responding to user operation and acquiring word segmentation results of corresponding texts;
a restriction information acquisition unit that acquires information for restricting the text in response to the user operation;
a recommendation information acquisition unit that acquires recommendation information for the text based on the text and the information;
and the providing unit is used for providing the acquired word segmentation result and the recommendation information.
6. The apparatus of claim 5, wherein the information defining the text comprises: scene information currently associated with the text;
and/or the corresponding text is a text corresponding to the object selected by the user operation, wherein the object comprises at least one of the following items: pictures, video, voice, text;
and/or the providing unit is also used for providing the acquired information for limiting the text together with the word segmentation result;
and/or the presence of a gas in the gas,
a recommendation information acquisition unit acquires recommendation information corresponding to a combination of the text and the information;
or, the recommendation information acquisition unit screens the relevance of the information according to the text and acquires recommendation information corresponding to a combination of the text and the screened information;
or the recommendation information acquisition unit sends the text and the information to a corresponding server and receives recommendation information aiming at the text from the server;
or the recommendation information acquisition unit screens the information according to the relevance of the text, sends the text and the screened information to the server, and receives recommendation information according to the text from the server.
7. The apparatus of claim 6, wherein the context information currently associated with the text comprises at least one of: content of an image associated with the text, source information of the text, context information of the text;
and/or the recommendation information acquisition unit sends the image in the information or the identified content of the image to the server;
and/or the recommended information acquisition unit sends the text and the information to the server according to a first preset mode so that the server can distinguish the text from the information; and/or sending the text and the information to the server according to a second preset mode so that the server can distinguish the type of the information;
and/or the recommended information acquisition unit sends the text and the screened information to the server according to a first preset mode so that the server can distinguish the text from the screened information; and/or sending the text and the screened information to the server according to a second preset mode, so that the server can distinguish the type of the screened information.
8. The apparatus of claim 7, wherein the source information of the text comprises at least one of a name, a type, a publisher, a type of publisher, and a type of publisher of at least one of: the source application, the source webpage, the source public number and the source applet of the text;
and/or the context information of the text comprises: content displayed within a user interface to which the user operation is directed and/or contextual content not displayed within the user interface;
and/or, the image associated with the text comprises: a background image of the text and/or an illustration corresponding to the text.
9. A computer-readable storage medium, in which a computer program is stored which, when being executed by a processor, carries out the method of providing recommendation information according to any one of claims 1 to 4.
10. An electronic terminal, wherein the electronic terminal comprises:
a processor;
memory storing a computer program which, when executed by the processor, implements the method of providing recommendation information according to any one of claims 1 to 4.
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| CN103425670A (en) * | 2012-05-16 | 2013-12-04 | 百度在线网络技术（北京）有限公司 | Method, device and equipment for providing customers with content recommendation information |
| CN109800352A (en) * | 2018-12-30 | 2019-05-24 | 上海触乐信息科技有限公司 | Method, system and the terminal device of information push are carried out based on clipbook |
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