CN111581366B - User intention determining method, device, electronic equipment and readable storage medium - Google Patents
User intention determining method, device, electronic equipment and readable storage medium Download PDFInfo
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- CN111581366B CN111581366B CN202010386845.4A CN202010386845A CN111581366B CN 111581366 B CN111581366 B CN 111581366B CN 202010386845 A CN202010386845 A CN 202010386845A CN 111581366 B CN111581366 B CN 111581366B
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/30—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
- G06F16/33—Querying
- G06F16/332—Query formulation
- G06F16/3329—Natural language query formulation or dialogue systems
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- 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
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
- G06Q30/02—Marketing; Price estimation or determination; Fundraising
- G06Q30/0241—Advertisements
- G06Q30/0251—Targeted advertisements
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
- Y02D10/00—Energy efficient computing, e.g. low power processors, power management or thermal management
Abstract
The application discloses a method and a device for determining user intention, electronic equipment and a readable storage medium, and relates to the technical field of information flow. The specific implementation scheme is as follows: determining installation feature data of a current user on an intention application according to an application installation list of the current user and the intention application of an advertiser; determining whether the current user has advertisement viewing intent according to the installation feature data and an installation feature data threshold of the target crowd of the advertiser for the intent application program; the installation feature data threshold is determined according to an application installation list of the target crowd and the intention application. The application solves the problem that the intention of the user is difficult to determine, and improves the accuracy of the intention of the user, thereby improving the advertisement conversion rate.
Description
Technical Field
The present application relates to the field of internet technologies, and in particular, to the field of information flow technologies, and in particular, to a method and apparatus for determining a user intention, an electronic device, and a readable storage medium.
Background
With the continuous popularization and development of intelligent terminals, various applications (apps) installed on the intelligent terminals are increasingly used to access the internet in the form of information streams (feeds). The information stream is continuously updated and presented to the current user content, which can help the current user to continuously acquire the latest feed content.
With the widespread use of information streams, information streams have become an important approach to advertisement delivery. In the existing advertisement putting process based on information quantity, the accuracy of judgment of user intention is low, so that an advertisement system is difficult to screen targeted crowds for advertisement putting, and the advertisement putting conversion rate is low.
Disclosure of Invention
A method, apparatus, electronic device, and readable storage medium for user intent determination are provided.
According to a first aspect, there is provided a user intention determining method comprising:
determining installation feature data of a current user on an intention application according to an application installation list of the current user and the intention application of an advertiser;
determining whether the current user has advertisement viewing intent according to the installation feature data and an installation feature data threshold of the target crowd of the advertiser for the intent application program;
the installation feature data threshold is determined according to an application installation list of the target crowd and the intention application.
According to a second aspect, there is provided a user intention determining apparatus, the apparatus comprising:
the installation feature determining module is used for determining installation feature data of the current user on the intention application program according to the application program installation list of the current user and the intention application program of the advertiser;
the installation intention determining module is used for determining whether the current user has advertisement viewing intention or not according to the installation characteristic data and the installation characteristic data threshold value of the target crowd of the advertiser for the intention application program;
the installation feature data threshold is determined according to an application installation list of the target crowd and the intention application.
According to a third aspect, there is provided an electronic device comprising:
at least one processor; and
a memory communicatively coupled to the at least one processor; wherein, the liquid crystal display device comprises a liquid crystal display device,
the memory stores instructions executable by the at least one processor to enable the at least one processor to perform a user intent determination method in accordance with any one of the embodiments of the present application.
According to a fourth aspect, there is provided a non-transitory computer readable storage medium storing computer instructions for causing a computer to perform a user intent determination as defined in any one of the embodiments of the application.
The technology solves the problem that the user intention is difficult to determine, and improves the accuracy of the user intention, thereby improving the advertisement conversion rate.
It should be understood that the description in this section is not intended to identify key or critical features of the embodiments of the disclosure, nor is it intended to be used to limit the scope of the disclosure. Other features of the present disclosure will become apparent from the following specification.
Drawings
The drawings are included to provide a better understanding of the present application and are not to be construed as limiting the application. Wherein:
FIG. 1 is a flow chart of a user intent determination method provided in accordance with an embodiment of the present application;
FIG. 2 is a flow chart of a user intent determination method provided in accordance with an embodiment of the present application;
FIG. 3 is a flow chart of a user intent determination method provided in accordance with an embodiment of the present application;
fig. 4 is a schematic structural view of a user intention determining apparatus provided according to an embodiment of the present application;
fig. 5 is a block diagram of an electronic device for implementing a user intent determination method of an embodiment of the present application.
Detailed Description
Exemplary embodiments of the present application will now be described with reference to the accompanying drawings, in which various details of the embodiments of the present application are included to facilitate understanding, and are to be considered merely exemplary. Accordingly, those of ordinary skill in the art will recognize that various changes and modifications of the embodiments described herein can be made without departing from the scope and spirit of the application. Also, descriptions of well-known functions and constructions are omitted in the following description for clarity and conciseness.
Fig. 1 is a flowchart of a user intention determining method according to an embodiment of the present application. The embodiment can be applied to the situation of determining whether a user has viewing intention on an advertisement to be placed by an advertiser. The method for determining user intention disclosed in the present embodiment may be performed by an electronic device, and in particular, may be performed by a user intention determining apparatus, where the apparatus may be implemented by software and/or hardware, and configured in the electronic device. Referring to fig. 1, the method for determining user intention provided in the present embodiment includes:
s110, according to an application program installation list of a current user and an intention application program of an advertiser, determining installation feature data of the current user on the intention application program.
Where the current user generally refers to a user to whom an advertiser advertisement has not been placed, the advertisement placement system needs to determine whether to place an advertisement to his advertiser. The advertiser's intended application refers to an application that has a greater degree of association with the advertiser, and may include at least one of the advertiser's own application, a bid application, an application in the industry class (or application class) to which the advertiser belongs, and other applications. The determination method of the intention application of the advertiser in the embodiment of the application is not particularly limited.
The installation feature data of the current user on the intention application is used for reflecting the association degree between the current user and the intention application. The types of the installation feature data can be one type or a plurality of types, and different types of the installation feature data are used for reflecting the association degrees of different dimensions. For example, whether there is an association between the current user and the intended application is reflected by one type of installation feature data, and if so, the degree of association between the current user and the intended application is determined by another type of installation feature data.
S120, determining whether the current user has advertisement viewing intention according to the installation feature data and the installation feature data threshold of the target crowd of the advertiser for the intention application program.
The installation feature data threshold is determined according to the application program installation list of the target crowd and the intention application program and is used for accurately reflecting the user installation feature with the view intention on the advertisement. The installation feature data threshold value is consistent with the type of the installation feature data. The target group refers to a group to which an advertiser advertisement has been placed, and may be provided by the advertiser. Specifically, the advertiser may select a target user from among historical impression users of its own advertisements, and provide the id (identification) of the target user as a target crowd id to the advertisement system. Optionally, the historical delivery user is displayed through a visual interface, and the operation behavior data of the historical delivery user on the advertisement is selected by the advertiser. The operational behavior data may include, among other things, whether to translate, type of translation, etc. The processing has the advantages that convenience and accuracy of determining target crowd by an advertiser can be improved, and accordingly efficiency and accuracy of advertisement delivery are improved.
Specifically, the installation feature data of the current user on the intention application program is compared with the installation feature data threshold of the corresponding target crowd on the intention application program, and whether the current user has advertisement viewing intention is determined according to the comparison result. Because the application program list is convenient to acquire and high in accuracy, the user intention is high in accuracy, and accordingly the advertisement delivery conversion rate of the advertiser can be improved.
Optionally, the method further comprises: and acquiring an application program installation list of the mobile user through an application program interface of the mobile terminal. The mobile user may be a current user, a user in a target group, or another user who needs to use the application list. The embodiment of the application can also acquire the installation condition of the appointed application program in a slot position mode; and constructing an application program installation list of the mobile user according to the installation condition of the mobile user on the appointed application program.
According to the technical scheme, the installation feature data threshold value is determined according to the application program installation list of the target crowd, and the installation feature data is determined according to the application program installation list of the current user; and comparing the installation feature data with an installation feature data threshold value, and determining whether the current user has advertisement viewing intention according to the comparison result. Because the application program installation list is easy to acquire and high in accuracy, the problems that data acquisition is limited, interference data is more, data screening requirements are high and the like in the prior art, which are caused by intention determination by adopting historical search keywords, historical browsing website records, historical use behavior data and the like of a user, are solved. The accuracy of the user intention is improved, and therefore the advertisement conversion rate is improved.
Fig. 2 is a flowchart of a method for determining user intention according to an embodiment of the present application. The present embodiment is an alternative scheme proposed on the basis of the above embodiment, in which the installation feature data is the number of installations and the installation duration; accordingly, the installation feature data threshold is an installation number threshold and an installation duration threshold. Referring to fig. 2, the method for determining user intention provided in the present embodiment includes:
s210, determining the average installation quantity of the target crowd on the intention application program according to the application program installation list of the target crowd and the intention application program, and taking the average installation quantity of the target crowd on the intention application program as the installation quantity threshold value.
The intention application is an application with a high degree of association with the advertiser, and there may be a plurality of intention applications. The target group refers to the group to which the advertiser has been advertised.
Specifically, for each target user in the target crowd, matching an application program installation list of the target user with the intention application program to obtain the installation quantity of the target user on the intention application program, and further determining the average installation quantity of all target users in the target crowd on the intention application program.
S220, determining the average interval duration between the time of installing the intended application program by the target crowd and the advertisement pushing time of the target crowd as the installation duration threshold.
The application program installation list comprises the installed application programs and the installation time of the application programs. Specifically, the installation time of the intention application is obtained from the installation list of the target user, the time of pushing the advertisement to the target user (namely, the advertisement pushing time) is obtained from the historical putting record of the advertiser, and the difference between the advertisement pushing time and the installation time of the intention application is taken as the interval duration; further determining the average value of the interval time length of the target user on all the intention application programs; and determining the average interval duration of the target crowd according to the average value of the interval durations of all the target users in the target crowd.
Because the target crowd is a user selected from historical contributors, for example, a historical contributor user who has undergone conversion, the installation feature data threshold of the target crowd can accurately reflect the installation features of users with viewing intent for advertisements, and can be used as an installation feature data reference value for intent determination.
S230, according to an application program installation list of a current user and an intention application program of an advertiser, determining installation feature data of the current user on the intention application program.
Wherein the installation feature data includes an installation number and an installation duration.
S240, determining whether the current user has advertisement viewing intention according to the installation feature data and the installation quantity threshold and the installation duration threshold of the target crowd of the advertiser for the intention application program.
Wherein the installation quantity is used for reflecting whether the current user possibly has advertisement viewing intention; the installation duration is used for reflecting the intension degree of the advertisement viewing intention of the current user, and the intension program is inversely related to the installation duration, that is, the shorter the installation duration is, the stronger the advertisement viewing intention is.
Optionally, if the installation number is greater than the installation number threshold of the target crowd of the advertiser for the intended application, and the installation duration is less than the installation duration threshold of the target crowd of the advertiser for the intended application, determining that the current user has advertisement viewing intention.
According to the technical scheme, the average installation number and average interval duration of the target crowd on the intention application programs are used as the installation feature data threshold, the installation number and average installation number of the current user on the intention application programs are compared, the interval duration and average interval duration of the current user on the intention application programs are compared, and whether the current user has advertisement viewing intention or not is comprehensively determined according to the comparison result of the two. The accuracy of the user intent is further improved by improving the accuracy of the installation feature data threshold.
Fig. 3 is a flowchart of a method for determining user intention according to an embodiment of the present application. This embodiment is an alternative to the embodiments described above. Referring to fig. 3, the method for determining user intention provided in the present embodiment includes:
s310, determining the distinguishing degree coefficient of the candidate application program according to the application program installation list of the target crowd and the application program installation list of other crowds.
And the candidate application programs belong to an application program installation list of the target crowd. The discrimination coefficient of the candidate application program is used for reflecting the association degree between the candidate application program and the target crowd, and the association degree and the discrimination coefficient are positively correlated.
Specifically, the distinguishing degree coefficient of the candidate application program is determined according to the application program installation list of the target crowd and the application program installation list of other crowds, namely the distinguishing degree coefficient is not limited to the application classification of the target crowd and the advertiser, and is related to all crowds and all application classifications.
Optionally, S310 includes: determining a first installation rate of the candidate application program according to the application program installation list of the target crowd; determining a second installation rate of the candidate application program according to the application program installation lists of the target crowd and the other crowd; and determining the distinguishing degree coefficient of the candidate application program according to the first installation rate and the second installation rate.
Specifically, for each candidate application program installed by the target crowd, determining a first installation rate of the target crowd to the application program, determining a second installation rate of all the crowd to the application program, and taking the ratio of the first installation rate to the second installation rate as a distinguishing coefficient of the application program.
S320, selecting the intended application program from the candidate application programs according to the discrimination coefficient of the candidate application programs.
Since the discrimination coefficient is positively correlated with the association degree, N candidate applications with a large discrimination degree can be selected as intended applications. Candidate application programs with high relevance to the target crowd can be screened out through the discrimination coefficient, so that the accuracy of subsequent user intention determination is further improved.
S330, according to an application program installation list of a current user and an intention application program of an advertiser, determining installation feature data of the current user on the intention application program.
S340, determining whether the current user has advertisement viewing intention according to the installation feature data and the installation feature data threshold of the target crowd of the advertiser for the intention application program.
The installation feature data threshold is determined according to an application installation list of the target crowd and the intention application.
In an alternative embodiment, the method further comprises: acquiring a bid application program provided by the advertiser; determining application classification of the bidding application program through an application program downloading tool; and selecting an application program belonging to the application classification of the bid application program from an application program installation list of the mobile user as the intention application program.
Wherein, the advertiser can not only provide the bid application program, but also provide the application program of the advertiser, such as the application program to be put by the advertiser. Since the application classification is more accurate than the industry classification, the accuracy of the intended application may be improved by taking an application belonging to the application classification of the bid application (i.e., the advertiser's application classification) as the intended application.
Optionally, the bid application is also used as the intent application. If the advertiser provides the own application program, the application program of the advertiser and the bid application program can be taken as the intention application program. It should be noted that, in the embodiment of the present application, an application program of an advertiser, a bid application program, an application program belonging to an advertiser application classification, and an application program with a discrimination coefficient meeting a requirement may all be used as a bid application program, and at least one item may be selected according to a requirement.
According to the technical scheme provided by the embodiment of the application, the accuracy of the intention application program, namely the association degree of the intention application program and the advertiser is improved, so that the accuracy of the intention of a user is further improved, and the conversion rate of advertisement delivery is improved.
Fig. 4 is a schematic structural view of a user intention determining apparatus provided according to an embodiment of the present application. Referring to fig. 4, an embodiment of the present application discloses a user intention determining apparatus 400, the apparatus 400 comprising:
an installation feature determining module 401, configured to determine, according to an application installation list of a current user and an intention application of an advertiser, installation feature data of the current user on the intention application;
an installation intention determining module 402, configured to determine whether the current user has an advertisement viewing intention according to the installation feature data and an installation feature data threshold of the target crowd of the advertiser for the intention application;
the installation feature data threshold is determined according to an application installation list of the target crowd and the intention application.
Optionally, the installation feature data is the number of installations and the installation duration; correspondingly, the installation characteristic data threshold is an installation number threshold and an installation duration threshold.
Optionally, the device further includes a threshold determining module, where the threshold determining module specifically includes:
the first threshold unit is used for determining the average installation quantity of the target crowd on the intended application program according to the application program installation list of the target crowd and the intended application program, and taking the average installation quantity of the target crowd on the intended application program as the installation quantity threshold;
and the second threshold unit is used for determining the average interval duration between the time of installing the intended application program by the target crowd and the advertisement pushing time of the target crowd, and taking the average interval duration as the installation duration threshold.
Optionally, the installation intention determining module 402 is specifically configured to:
and if the installation number is greater than the installation number threshold of the target crowd of the advertiser for the intention application program and the installation duration is less than the installation duration threshold of the target crowd of the advertiser for the intention application program, determining that the current user has advertisement viewing intention.
Optionally, the apparatus further includes a first intention program module, where the first intention program module specifically includes:
the distinguishing degree determining unit is used for determining distinguishing degree coefficients of candidate application programs according to the application program installation list of the target crowd and the application program installation list of other crowds; wherein the candidate application belongs to an application installation list of the target crowd;
and the first intention program unit is used for selecting the intention application program from the candidate application programs according to the distinguishing degree coefficient of the candidate application programs.
Optionally, the discrimination determining unit includes:
a first installation rate subunit, configured to determine a first installation rate of the candidate application according to the application installation list of the target crowd;
a second installation rate subunit, configured to determine a second installation rate of the candidate application according to the application installation lists of the target crowd and the other crowd;
and the discrimination determination subunit is used for determining the discrimination coefficient of the candidate application program according to the first installation rate and the second installation rate.
Optionally, the apparatus further includes a second intention program module, where the second intention program module specifically includes:
the bid program unit is used for acquiring a bid application program provided by the advertiser;
the application classification unit is used for determining the application classification of the bid application program through an application program downloading tool;
and the second intention program unit is used for selecting an application program belonging to the application category of the bid application program from the application program installation list of the mobile user as the intention application program.
Optionally, the second intention program module specifically further includes:
and the third intention program unit is used for taking the bid application program as the intention application program.
Optionally, the apparatus further includes: and the application list acquisition module is used for acquiring an application program installation list of the mobile user through an application program interface of the mobile terminal.
According to the technical scheme, the installation feature data threshold value is determined according to the application program installation list of the target crowd, and the installation feature data is determined according to the application program installation list of the current user; and comparing the installation feature data with an installation feature data threshold value, and determining whether the current user has advertisement viewing intention according to the comparison result. Because the application program installation list is easy to acquire and high in accuracy, the problems that data acquisition is limited, interference data is more, data screening requirements are high and the like in the prior art, which are caused by intention determination by adopting historical search keywords, historical browsing website records, historical use behavior data and the like of a user, are solved. The accuracy of the user intention is improved, and therefore the advertisement conversion rate is improved.
According to an embodiment of the present application, the present application also provides an electronic device and a readable storage medium.
As shown in fig. 5, is a block diagram of an electronic device of a method of user intent determination according to an embodiment of the present application. Electronic devices are intended to represent various forms of digital computers, such as laptops, desktops, workstations, personal digital assistants, servers, blade servers, mainframes, and other appropriate computers. The electronic device may also represent various forms of mobile devices, such as personal digital processing, cellular telephones, smartphones, wearable devices, and other similar computing devices. The components shown herein, their connections and relationships, and their functions, are meant to be exemplary only, and are not meant to limit implementations of the applications described and/or claimed herein.
As shown in fig. 5, the electronic device includes: one or more processors 501, memory 502, and interfaces for connecting components, including high-speed interfaces and low-speed interfaces. The various components are interconnected using different buses and may be mounted on a common motherboard or in other manners as desired. The processor may process instructions executing within the electronic device, including instructions stored in or on memory to display graphical information of the GUI on an external input/output device, such as a display device coupled to the interface. In other embodiments, multiple processors and/or multiple buses may be used, if desired, along with multiple memories and multiple memories. Also, multiple electronic devices may be connected, each providing a portion of the necessary operations (e.g., as a server array, a set of blade servers, or a multiprocessor system). One processor 501 is illustrated in fig. 5.
Memory 502 is a non-transitory computer readable storage medium provided by the present application. Wherein the memory stores instructions executable by the at least one processor to cause the at least one processor to perform the method of user intent determination provided by the present application. The non-transitory computer readable storage medium of the present application stores computer instructions for causing a computer to perform the method of user intent determination provided by the present application.
The memory 502, which is a non-transitory computer readable storage medium, may be used to store non-transitory software programs, non-transitory computer-executable programs, and modules, such as program instructions/modules (e.g., the installation feature determination module 401 and the installation intent determination module 402 shown in fig. 4) corresponding to the method of user intent determination in embodiments of the present application. The processor 501 performs various functional applications of the server and data processing, i.e., implements the method of user intent determination in the above-described method embodiments, by running non-transitory software programs, instructions, and modules stored in the memory 502.
Memory 502 may include a storage program area that may store an operating system, at least one application program required for functionality, and a storage data area; the storage data area may store data created according to the use of the electronic device determined by the user's intention, and the like. In addition, memory 502 may include high-speed random access memory, and may also include non-transitory memory, such as at least one magnetic disk storage device, flash memory device, or other non-transitory solid-state storage device. In some embodiments, memory 502 may optionally include memory located remotely from processor 501, which may be connected to the electronic device intended by the user via a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
The electronic device of the method of user intention determination may further include: an input device 503 and an output device 504. The processor 501, memory 502, input devices 503 and output devices 504 may be connected by a bus or otherwise, for example in fig. 5.
The input device 503 may receive input numeric or character information and generate key signal inputs related to user settings and function control of the electronic device as determined by the user's intent, such as a touch screen, keypad, mouse, trackpad, touchpad, pointer stick, one or more mouse buttons, track ball, joystick, etc. input devices. The output devices 504 may include a display device, auxiliary lighting devices (e.g., LEDs), and haptic feedback devices (e.g., vibration motors), among others. The display device may include, but is not limited to, a Liquid Crystal Display (LCD), a Light Emitting Diode (LED) display, and a plasma display. In some implementations, the display device may be a touch screen.
Various implementations of the systems and techniques described here can be realized in digital electronic circuitry, integrated circuitry, application specific ASIC (application specific integrated circuit), computer hardware, firmware, software, and/or combinations thereof. These various embodiments may include: implemented in one or more computer programs, the one or more computer programs may be executed and/or interpreted on a programmable system including at least one programmable processor, which may be a special purpose or general-purpose programmable processor, that may receive data and instructions from, and transmit data and instructions to, a storage system, at least one input device, and at least one output device.
These computing programs (also referred to as programs, software applications, or code) include machine instructions for a programmable processor, and may be implemented in a high-level procedural and/or object-oriented programming language, and/or in assembly/machine language. As used herein, the terms "machine-readable medium" and "computer-readable medium" refer to any computer program product, apparatus, and/or device (e.g., magnetic discs, optical disks, memory, programmable Logic Devices (PLDs)) used to provide machine instructions and/or data to a programmable processor, including a machine-readable medium that receives machine instructions as a machine-readable signal. The term "machine-readable signal" refers to any signal used to provide machine instructions and/or data to a programmable processor.
To provide for interaction with a user, the systems and techniques described here can be implemented on a computer having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to a user; and a keyboard and pointing device (e.g., a mouse or trackball) by which a user can provide input to the computer. Other kinds of devices may also be used to provide for interaction with a user; for example, feedback provided to the user may be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form, including acoustic input, speech input, or tactile input.
The systems and techniques described here can be implemented in a computing system that includes a background component (e.g., as a data server), or that includes a middleware component (e.g., an application server), or that includes a front-end component (e.g., a user computer having a graphical user interface or a web browser through which a user can interact with an implementation of the systems and techniques described here), or any combination of such background, middleware, or front-end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: local Area Networks (LANs), wide Area Networks (WANs), blockchain networks, and the internet.
The computer system may include a client and a server. The client and server are typically remote from each other and typically interact through a communication network. The relationship of client and server arises by virtue of computer programs running on the respective computers and having a client-server relationship to each other.
According to the technical scheme of the embodiment of the application, the installation characteristic data threshold value is determined according to the application program installation list of the target crowd, and the installation characteristic data is determined according to the application program installation list of the current user; and comparing the installation feature data with an installation feature data threshold value, and determining whether the current user has advertisement viewing intention according to the comparison result. Because the application program installation list is easy to acquire and high in accuracy, the problems that data acquisition is limited, interference data is more, data screening requirements are high and the like in the prior art, which are caused by intention determination by adopting historical search keywords, historical browsing website records, historical use behavior data and the like of a user, are solved. The accuracy of the user intention is improved, and therefore the advertisement conversion rate is improved.
It should be appreciated that various forms of the flows shown above may be used to reorder, add, or delete steps. For example, the steps described in the present application may be performed in parallel, sequentially, or in a different order, provided that the desired results of the disclosed embodiments are achieved, and are not limited herein.
The above embodiments do not limit the scope of the present application. It will be apparent to those skilled in the art that various modifications, combinations, sub-combinations and alternatives are possible, depending on design requirements and other factors. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present application should be included in the scope of the present application.
Claims (15)
1. A method for determining user intent, comprising:
determining installation feature data of a current user on an intention application according to an application installation list of the current user and the intention application of an advertiser;
determining the average installation quantity of the target crowd of the advertiser on the intended application according to the application installation list of the target crowd of the advertiser and the intended application, and taking the average installation quantity of the target crowd on the intended application as an installation quantity threshold;
acquiring the installation time of the intended application program from an installation list of a target user, acquiring the time of pushing the advertisement to the target user from a historical delivery record of the advertiser, and taking the difference between the advertisement pushing time and the installation time of the intended application program as interval duration;
determining the average interval duration of the target user for all the intended application programs, and determining the average interval duration of the target crowd as an installation duration threshold according to the average interval duration of all the target users in the target crowd;
determining whether the current user has advertisement viewing intent according to the installation feature data and an installation feature data threshold of the target crowd of the advertiser for the intent application program;
the installation feature data are the number of installation and the installation duration; the installation feature data threshold is the installation number threshold and the installation duration threshold; the installation feature data threshold is determined from the application installation list of the target population and the intended application.
2. The method of claim 1, wherein determining whether the current user has an advertisement viewing intent based on the installation feature data and an installation feature data threshold for the intent application by the target group of advertisers, comprises:
and if the installation number is greater than the installation number threshold of the target crowd of the advertiser for the intention application program and the installation duration is less than the installation duration threshold of the target crowd of the advertiser for the intention application program, determining that the current user has advertisement viewing intention.
3. The method of any of claims 1-2, wherein prior to determining the installation feature data for the intended application for the current user from the application installation list for the current user and the intended application for the advertiser, further comprising:
determining a distinguishing degree coefficient of the candidate application program according to the application program installation list of the target crowd and the application program installation list of other crowds; wherein the candidate application belongs to an application installation list of the target crowd;
and selecting the intended application program from the candidate application programs according to the discrimination coefficient of the candidate application programs.
4. The method of claim 3, wherein determining the discrimination coefficients for candidate application programs based on the application installation list of the target population and the application installation list of other populations comprises:
determining a first installation rate of the candidate application program according to the application program installation list of the target crowd;
determining a second installation rate of the candidate application program according to the application program installation lists of the target crowd and the other crowd;
and determining the distinguishing degree coefficient of the candidate application program according to the first installation rate and the second installation rate.
5. The method of any of claims 1-2, wherein prior to determining the installation feature data for the intended application for the current user from the application installation list for the current user and the intended application for the advertiser, further comprising:
acquiring a bid application program provided by the advertiser;
determining application classification of the bidding application program through an application program downloading tool;
and selecting an application program belonging to the application classification of the bid application program from an application program installation list of the mobile user as the intention application program.
6. The method of claim 5, further comprising, after retrieving the advertiser provided bid application:
the bid application is also referred to as the intent application.
7. The method according to claim 1, wherein the method further comprises:
and acquiring an application program installation list of the mobile user through an application program interface of the mobile terminal.
8. A user intention determining apparatus, comprising:
the installation feature determining module is used for determining installation feature data of the current user on the intention application program according to the application program installation list of the current user and the intention application program of the advertiser;
the installation intention determining module is used for determining whether the current user has advertisement viewing intention or not according to the installation characteristic data and the installation characteristic data threshold value of the target crowd of the advertiser for the intention application program;
the installation feature data are the number of installation and the installation duration; the installation characteristic data threshold is an installation quantity threshold and an installation duration threshold; the installation feature data threshold is determined according to an application program installation list of the target crowd and the intention application program;
the threshold determining module specifically comprises:
the first threshold unit is used for determining the average installation quantity of the target crowd on the intended application program according to the application program installation list of the target crowd and the intended application program, and taking the average installation quantity of the target crowd on the intended application program as the installation quantity threshold;
a second threshold unit, configured to obtain an installation time of the intended application from an installation list of a target user, obtain a time of pushing an advertisement to the target user from a historical delivery record of the advertiser, and use a difference between the advertisement pushing time and the installation time of the intended application as an interval duration; determining the average interval duration of the target user for all the intended application programs, and determining the average interval duration of the target crowd as an installation duration threshold according to the average interval duration of all the target users in the target crowd.
9. The apparatus of claim 8, wherein the installation intent determination module is specifically to:
and if the installation number is greater than the installation number threshold of the target crowd of the advertiser for the intention application program and the installation duration is less than the installation duration threshold of the target crowd of the advertiser for the intention application program, determining that the current user has advertisement viewing intention.
10. The apparatus according to any one of claims 8-9, further comprising a first intention program module, the first intention program module comprising in particular:
the distinguishing degree determining unit is used for determining distinguishing degree coefficients of candidate application programs according to the application program installation list of the target crowd and the application program installation list of other crowds; wherein the candidate application belongs to an application installation list of the target crowd;
and the first intention program unit is used for selecting the intention application program from the candidate application programs according to the distinguishing degree coefficient of the candidate application programs.
11. The apparatus according to claim 10, wherein the discrimination determining unit includes:
a first installation rate subunit, configured to determine a first installation rate of the candidate application according to the application installation list of the target crowd;
a second installation rate subunit, configured to determine a second installation rate of the candidate application according to the application installation lists of the target crowd and the other crowd;
and the discrimination determination subunit is used for determining the discrimination coefficient of the candidate application program according to the first installation rate and the second installation rate.
12. The apparatus according to any one of claims 8-9, further comprising a second intention program module, the second intention program module comprising in particular:
the bid program unit is used for acquiring a bid application program provided by the advertiser;
the application classification unit is used for determining the application classification of the bid application program through an application program downloading tool;
and the second intention program unit is used for selecting an application program belonging to the application category of the bid application program from the application program installation list of the mobile user as the intention application program.
13. The apparatus as recited in claim 8, further comprising:
and the application list acquisition module is used for acquiring an application program installation list of the mobile user through an application program interface of the mobile terminal.
14. An electronic device, comprising:
at least one processor; and
a memory communicatively coupled to the at least one processor; wherein, the liquid crystal display device comprises a liquid crystal display device,
the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the method of any one of claims 1-7.
15. A non-transitory computer readable storage medium storing computer instructions for causing the computer to perform the method of any one of claims 1-7.
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