CN106651410B - Application management method and device - Google Patents
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- CN106651410B CN106651410B CN201510715666.XA CN201510715666A CN106651410B CN 106651410 B CN106651410 B CN 106651410B CN 201510715666 A CN201510715666 A CN 201510715666A CN 106651410 B CN106651410 B CN 106651410B
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Abstract
The embodiment of the invention discloses an application management method and a device, wherein the application management method comprises the following steps: acquiring application heat information of each application in an application set; acquiring a first weight of each application according to the heat information of each application; acquiring user characteristic information of a user; searching application heat information corresponding to the user characteristic information in each application according to a preset corresponding relation between the user characteristic information and the application heat information; acquiring a second weight of each application according to the application heat information corresponding to the user characteristic information; and sequencing the applications according to the first weight and the second weight of each application. By adopting the embodiment of the invention, the accuracy of application sequencing can be effectively improved.
Description
Technical Field
The invention relates to the technical field of internet, in particular to an application management method and device.
Background
Currently, a server-side application store usually counts the download times of each application, sorts the applications according to the download times, and arranges the applications with a large download time in front. However, in the increasingly prosperous application store model, there are various types of applications with a huge number, and there is a possibility that an application with a large number of downloads is not required by a certain user, and therefore, such a method of simply sorting by the server according to the number of downloads is not accurate enough for the user.
Disclosure of Invention
The technical problem to be solved by the embodiments of the present invention is to provide an application management method and apparatus, which can effectively improve the accuracy of application sequencing.
In order to solve the above technical problem, an embodiment of the present invention provides an application management method, including:
acquiring application heat information of each application in an application set;
acquiring a first weight of each application according to each application heat information;
acquiring user characteristic information of a user;
searching application heat information corresponding to the user characteristic information in each application according to a preset corresponding relation between the user characteristic information and the application heat information;
acquiring a second weight of each application according to the application heat information corresponding to the user characteristic information;
and sequencing the applications according to the first weight and the second weight of the applications.
Correspondingly, an embodiment of the present invention further provides an application management apparatus, including:
the information acquisition module is used for acquiring the application heat information of each application in the application set;
the weight value obtaining module is used for obtaining a first weight value of each application according to each application heat degree information;
the information acquisition module is also used for acquiring user characteristic information of a user;
the information searching module is used for searching the application heat information corresponding to the user characteristic information in each application according to the corresponding relation between the preset user characteristic information and the application heat information;
the weight value obtaining module is further configured to obtain a second weight value of each application according to the application heat information corresponding to the user feature information;
and the application sequencing module is used for sequencing the applications according to the first weight and the second weight of each application.
By implementing the embodiment of the invention, the application ranking accuracy can be effectively improved by acquiring the application heat information of each application in the application set, acquiring the first weight of each application according to each application heat information, acquiring the user characteristic information of the user, searching the application heat information corresponding to the user characteristic information in each application according to the preset corresponding relation between the user characteristic information and the application heat information, acquiring the second weight of each application according to the application heat information corresponding to the user characteristic information, and ranking each application according to the first weight and the second weight of each application.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a schematic flowchart of an application management method provided in an embodiment of the present invention;
fig. 2 is a flowchart illustrating an application management method according to another embodiment of the present invention;
FIG. 3 is a flowchart illustrating an application management method according to another embodiment of the present invention;
fig. 4 is a schematic structural diagram of an application management apparatus provided in an embodiment of the present invention;
fig. 5 is a schematic structural diagram of a terminal provided in an embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The embodiment of the invention provides an application management method, which comprises the steps of obtaining application heat information of each application in an application set, obtaining a first weight of each application according to the application heat information, obtaining user characteristic information of a user, searching application heat information corresponding to the user characteristic information in each application according to a preset corresponding relation between the user characteristic information and the application heat information, obtaining a second weight of each application according to the application heat information corresponding to the user characteristic information, and sequencing each application according to the first weight and the second weight of each application, so that the accuracy of application sequencing can be effectively improved.
Traditional application ranking cannot be done differently for different users. The reality is that different people often have different characteristics, and people with different characteristics often need different applications. For example, the boy and the girl download the intelligence-developing game at the same time, the intelligence-developing game required by the girl is not necessarily required by the boy, and the intelligence-developing game required by the boy is not necessarily required by the girl, so for the boy, the game according with the characteristics of the boy should be arranged in front; for girls, games that fit the girl's characteristics should be ranked in front.
The applications mentioned in the embodiments of the present invention may include a browser, chat software, a media player, or the like, and further, the applications may include different versions of applications released by the same developer or applications released by different developers, such as a Tencent QQ browser, a Tencent tt browser, or a Google browser. In addition, the application popularity information is used to indicate the user's attention to the application, and the application popularity information may include one or more of download times, comment levels, power consumption levels, or uninstallation rates, which is not limited by the embodiment of the present invention.
The user characteristic information mentioned in the embodiment of the present invention is used to identify the identity of the user, and the user characteristic information may include one or more of the age, the gender, the located area or the interest of the user, and is not specifically limited by the embodiment of the present invention.
The application management method can be operated in terminals such as tablet computers, mobile phones, Personal Computers (PCs), notebook computers, vehicle-mounted equipment or network televisions.
Referring to fig. 1, fig. 1 is a schematic flowchart of an application management method in an embodiment of the present invention, where the application management method in the embodiment of the present invention includes:
s101, obtaining application heat information of each application in the application set.
The terminal can acquire the application heat information of each application in the application set. The application popularity information may include one or more of download times, comment level, power consumption level or uninstallation rate. And the downloading times are the counted times of downloading the application by all the users. The comment grade is the evaluation of all the users on the application obtained through statistics, and the comment grade can be a comment score or a comment star grade and the like.
In an optional embodiment, the terminal may receive a retrieval instruction input by a user, where the retrieval instruction carries a retrieval keyword, obtain an application set matched with the retrieval keyword, and obtain application popularity information of each application in the application set. For example, the terminal provides a search input box through an application store, a user inputs a search keyword in the search input box and clicks a button triggering the search instruction to generate the search instruction, and the terminal acquires an application set matched with the search keyword and acquires application popularity information of each application in the application set. For example, when the search keyword is a browser, the set of applications matching the search keyword may include different versions of browsers issued by the same developer or browsers issued by different developers, such as Tencent QQ browser, Tencent tt browser or Google browser. For another example, the terminal displays a plurality of search keywords through the application store, the search keywords may be application classification information, such as audio-visual images, chat communication, or life maps, and the user may input a search instruction by clicking the application classification information, and the terminal may obtain an application set matched with the application classification information. For example, the application classification information submitted by the user is a video image, and the applications in the application set matching the application classification information may include storm video, You Tube, or QQ music.
In an alternative embodiment, the terminal may determine a set of applications through an application store, and obtain application popularity information of each application in the set of applications. For example, the application set determined by the terminal may be an application set to which an application issued within a preset time period belongs, or an application set to which an application of which the application type is an audio-visual image belongs, and waits, which is not limited by the embodiment of the present invention specifically.
S102, acquiring a first weight of each application according to the heat information of each application.
The terminal can obtain the first weight of each application according to the heat information of each application. In specific implementation, the terminal may calculate the application heat information of the same application through a preset second weighting algorithm to obtain a first weight of the application.
In an optional embodiment, when the application popularity information includes the download times and the comment level, the terminal may use the download times and the comment level of the same application as input of the second weighting algorithm to obtain the first weight of the application.
Illustratively, the second weighting algorithm may be as follows:
Pi＝W1*Si+W2*Li
wherein, PiIs the first weight of the ith application, SiFor the number of downloads of the ith application, W1Is a weight of the number of downloads, LiFor the comment level of the ith application, W2For the weight of the comment level, i is a positive integer.
In an optional embodiment, after the terminal obtains the application heat information, normalization processing may be performed on the application heat information, and the first weight of each application is obtained according to the application heat information after each normalization processing.
For example, the normalization processing algorithm may be as follows:
Si＝Xi-Xmin/Xmax-Xmin
wherein S isiFor the ith application of normalized application Heat information, XiFor the statistically derived application popularity information of the ith application, XminMinimum application heat, X, in application heat information for all applications of an application setmaxThe maximum application heat in the application heat information of all the applications in the application set.
For example, the application set includes a first application, a second application and a third application, wherein the number of downloads of the first application is 200, and the comment level of the first application is four stars; the downloading frequency of the second application is 1000 times, and the comment grade of the second application is three stars; the number of downloads of the third application is 1200, and the comment level of the third application is four stars. When the weight of the download times is 0.4 and the weight of the comment level is 0.6, the terminal can obtain that the download times after the normalization processing of the first application is 0 through the normalization processing mode, the comment level after the normalization processing of the first application is 1, and obtain that the first weight of the first application is 0.6 through the second weighting algorithm. Similarly, the terminal obtains, by the normalization processing mode, that the number of downloads of the second application after the normalization processing is 0.8, that the comment level of the second application after the normalization processing is 0, and obtains, by the second weighting algorithm, that the first weight of the second application is 0.32. The terminal obtains the number of downloading times of the third application after normalization processing through the normalization processing mode, the comment grade of the first application after normalization processing is 1, and the first weight of the first application obtained through the second weighting algorithm is 1.
S103, acquiring user characteristic information of the user.
The terminal may obtain user characteristic information of the user. The user characteristic information may include one or more of age, gender, location area or interest, and the like. The user characteristic information may include at least one characteristic amount, for example, age is 20 years, gender is male, and the area is the guangdong. Optionally, the user feature information may include at least one feature set, for example, 18-24 years old, and north China is the area.
For example, the terminal receives a retrieval instruction input by the user, and the retrieval instruction may carry user feature information of the user, so that the terminal acquires the user feature information. For another example, the terminal may analyze and process user data corresponding to user identification information, to obtain user characteristic information, where the user identification information may be an IP (Internet Protocol) address or cookies (data stored in a local terminal of the user in a website for identifying a user identity and performing session tracking), and the like.
In an alternative embodiment, after receiving the user feature information of the user, the terminal may store the user feature information in the form of a vector, where the vector is a user feature vector of the user. For example, the user feature vector may describe features of the user in the form of (age, gender, location area), where each user in the user feature vector specifically corresponds to a feature value under a feature corresponding to the user, where the first bit stores a feature value under the age feature of the user, the second bit stores a feature value under the gender feature of the user, and the third bit stores a feature value under the location area feature of the user. Illustratively, the user characteristic information of one user is: age: 18-24 years old, sex: male, area of residence: and the terminal can convert the received user feature information into a vector form (18-24 years old, male and Guangdong), wherein the vector is a user feature vector. The first digit of the user feature vector indicates that the user is 18-24 years old, the second digit indicates that the gender of the user is male, and the third digit indicates that the area of the user is the Guangdong.
And S104, searching the application heat information corresponding to the user characteristic information in each application according to the preset corresponding relation between the user characteristic information and the application heat information.
The terminal can search the application heat information corresponding to the user characteristic information in each application according to the preset corresponding relationship between the user characteristic information and the application heat information. In specific implementation, the terminal may pre-store a corresponding relationship between the user characteristic information and the application popularity information, and the terminal may obtain the corresponding relationship between the user characteristic information and the application popularity information for one application in the application set, and search for the application popularity information corresponding to the user characteristic information obtained in the application. For example, the corresponding relationship between the user characteristic information and the application popularity information of one application in the application set may be as shown in table one:
watch 1
When the user characteristic information of the user obtained by the terminal is age 18-24, gender male and the area is the Guangdong, the corresponding download times of age 18-24 and gender male in the application are found to be 220 and 670 according to the corresponding relationship between the user characteristic information and the application heat information shown in the table one,
the number of downloads for the Guangdong sector is 46. For example, the application hot degree information corresponding to the user feature information in one application (application number is application 1) in the application set may be as shown in table two:
watch two
In an optional embodiment, when detecting that the user submits the application popularity information to the target application, the terminal may obtain user characteristic information of the user, where the user characteristic information includes at least one characteristic quantity, determine a characteristic set to which each characteristic quantity in the user characteristic information belongs, and update the application popularity information corresponding to each characteristic set in the target application.
In a specific implementation, the terminal may establish a plurality of feature sets, for example, when the feature quantity is age, the corresponding feature set may be: less than 18 years old, 18-24 years old, 25-34 years old, 35-44 years old, and greater than 44 years old; when the feature quantity is gender, the corresponding feature set may be: male and female; when the feature quantity is the area where the user is located, the corresponding feature set may be: the method includes that the parts are divided into Guangdong, Anhui or Liaoning according to provinces, and optionally northeast, northwest or northwest according to geographical regions. When a user downloads an application, the terminal can acquire user characteristic information of the user, determine a characteristic set to which each characteristic quantity in the user characteristic information belongs, and add 1 to the downloading times corresponding to each characteristic set in the application in the corresponding relationship between the user characteristic information of the application and the application popularity information to update the application popularity information of the application.
And S105, acquiring a second weight of each application according to the application heat information corresponding to the user characteristic information.
The terminal may obtain the second weight of each application according to the application heat information corresponding to the user feature information. In specific implementation, the terminal may calculate, by using a preset third weighting algorithm, the application heat information corresponding to the user feature information of the same application to obtain a second weight of the application.
For example, when the application popularity information corresponding to the user characteristic information includes the download times corresponding to the age, the download times corresponding to the gender, and the download times corresponding to the located area, the terminal may use the download times corresponding to each user characteristic information of the same application as the input of the third weighting algorithm to obtain the second weight of the application.
Illustratively, the third weighting algorithm may be as follows:
Ai＝ai1*Agei+ai2*Genderi+ai3*Areai
wherein A isiIs the second weight, Age, of the ith applicationiNumber of downloads corresponding to age in the ith application, ai1Is the age weight, Gender, in the ith applicationiFor the number of downloads corresponding to each of the ith applications, ai2Is the weight of gender in the ith application, AreaiThe number of downloads corresponding to the area in which the ith application is located, ai3Is the weight of the region in the ith application, and i is a positive integer. It should be noted that the weights of the same user feature information in different applications may be the same, i.e. the importance of the age, gender and location area in different applications is the same. Optionally, the weights of the same user feature information in different applications may be different, for example, the importance of the region in the weather application is higher, the importance of the gender in the game application is higher, the importance of the age in the video application is higher, and the like.
In an optional embodiment, after the terminal obtains the application heat information corresponding to the user feature information, normalization processing may be performed on the application heat information corresponding to the user feature information, and the second weight of each application may be obtained according to the application heat information corresponding to each normalized user feature information.
For example, the application set includes a first application, a second application and a third application, wherein the number of downloads corresponding to ages 18-24 in the first application is 200, the number of downloads corresponding to ages 18-24 in the second application is 1000, and the number of downloads corresponding to ages 18-24 in the third application is 1200. The terminal can obtain that the download frequency corresponding to the age after the normalization processing in the first application is 0, the download frequency corresponding to the age after the normalization processing in the second application is 0.8, and the download frequency corresponding to the age after the normalization processing in the third application is 1 through the normalization processing mode.
S106, sorting the applications according to the first weight and the second weight of the applications.
The terminal may sort each application according to the first weight and the second weight of each application. In specific implementation, the terminal may calculate the first weight and the second weight of the same application through a preset first weighting algorithm to obtain a third weight of the application, and rank each application according to the third weight of each application.
For example, the terminal may use the first weight and the second weight of the same application as inputs of the first weighting algorithm to obtain the third weight of the application, and rank the applications according to the magnitude of the third weight of each application.
Illustratively, the first weighting algorithm may be as follows:
wherein M isiIs the third weight, P, of the ith applicationiFor the first weight of the ith application,
is the weight of the first weight, SiFor the second weight of the ith application,
and i is a positive integer as the weight of the second weight.
In an optional embodiment, after the terminal sorts the applications, the sorted applications can be pushed to the user, wherein the relevance between the applications which are ranked in the front and the user characteristics of the user is high, the application which obtains a high ranking in a list swiping mode and the like is reduced as far as possible, and the experience of the user is effectively improved. Further, the terminal may also push the relevant information of the application to the user, and the relevant information may be: software name, software size, software download frequency, software usage rate, software uninstalling reason, software usage evaluation, and the like.
In an optional embodiment, the terminal receives a retrieval instruction input by a user, and after the applications are ranked, the ranked applications can be fed back to the user, wherein the relevance between the applications in the front ranking and the user characteristics of the user is high, so that the user can conveniently and quickly find the needed applications, the application feedback users with high ranking obtained in modes of ranking by swiping a list and the like are reduced as far as possible, the aversion of the user to the retrieval feedback content is reduced, and the retrieval efficiency can be effectively improved. Further, the terminal can also feed back the relevant information of the application to the user.
In the embodiment of the invention, the application heat information of each application in the application set is acquired, the first weight of each application is acquired according to each application heat information, the user characteristic information of a user is acquired, the application heat information corresponding to the user characteristic information in each application is searched according to the preset corresponding relation between the user characteristic information and the application heat information, the second weight of each application is acquired according to the application heat information corresponding to the user characteristic information, and each application is sequenced according to the first weight and the second weight of each application, so that the accuracy of application sequencing can be effectively improved.
Referring to fig. 2, fig. 2 is a schematic flowchart of an application management method in another embodiment of the present invention, where the application management method in the embodiment of the present invention includes:
s201, obtaining the application heat information of each application in the application set.
The terminal can acquire the application heat information of each application in the application set. The application popularity information may include one or more of download times, comment level, power consumption level or uninstallation rate. And the downloading times are the counted times of downloading the application by all the users. The comment grade is the evaluation of all the users on the application obtained through statistics, and the comment grade can be a comment score or a comment star grade and the like.
In an alternative embodiment, the terminal may determine a set of applications through an application store, and obtain application popularity information of each application in the set of applications. For example, the application set determined by the terminal may be an application set to which an application issued within a preset time period belongs, or an application set to which an application of which the application type is an audio-visual image belongs, and waits, which is not limited by the embodiment of the present invention specifically.
S202, acquiring a first weight of each application according to the heat information of each application.
The terminal can obtain the first weight of each application according to the heat information of each application. In specific implementation, when the application popularity information includes the download times and the comment level, the terminal may use the download times and the comment level of the same application as input of the second weighting algorithm to obtain the first weight of the application.
In an optional embodiment, after the terminal obtains the application heat information, normalization processing may be performed on the application heat information, and the first weight of each application is obtained according to the application heat information after each normalization processing.
For example, the application set includes a first application, a second application and a third application, wherein the number of downloads of the first application is 200, and the comment level of the first application is four stars; the downloading frequency of the second application is 1000 times, and the comment grade of the second application is three stars; the number of downloads of the third application is 1200, and the comment level of the third application is four stars. When the weight of the download times is 0.4 and the weight of the comment level is 0.6, the terminal can obtain that the download times after the normalization processing of the first application is 0 through the normalization processing mode, the comment level after the normalization processing of the first application is 1, and obtain that the first weight of the first application is 0.6 through the second weighting algorithm. Similarly, the terminal obtains, by the normalization processing mode, that the number of downloads of the second application after the normalization processing is 0.8, that the comment level of the second application after the normalization processing is 0, and obtains, by the second weighting algorithm, that the first weight of the second application is 0.32. The terminal obtains the number of downloading times of the third application after normalization processing through the normalization processing mode, the comment grade of the first application after normalization processing is 1, and the first weight of the first application obtained through the second weighting algorithm is 1.
S203, acquiring the user characteristic information of the user.
The terminal may obtain user characteristic information of the user. The user characteristic information may include one or more of age, gender, location area or interest, and the like. The user characteristic information may include at least one characteristic amount, for example, age is 20 years, gender is male, and the area is the guangdong. Optionally, the user feature information may include at least one feature set, for example, 18-24 years old, and north China is the area.
In an alternative embodiment, after receiving the user feature information of the user, the terminal may store the user feature information in the form of a vector, where the vector is a user feature vector of the user. For example, the user feature vector may describe features of the user in the form of (age, gender, location area), where each user in the user feature vector specifically corresponds to a feature value under a feature corresponding to the user, where the first bit stores a feature value under the age feature of the user, the second bit stores a feature value under the gender feature of the user, and the third bit stores a feature value under the location area feature of the user. Illustratively, the user characteristic information of one user is: age: 18-24 years old, sex: male, area of residence: and the terminal can convert the received user feature information into a vector form (18-24 years old, male and Guangdong), wherein the vector is a user feature vector. The first digit of the user feature vector indicates that the user is 18-24 years old, the second digit indicates that the gender of the user is male, and the third digit indicates that the area of the user is the Guangdong.
And S204, searching the application heat information corresponding to the user characteristic information in each application according to the preset corresponding relation between the user characteristic information and the application heat information.
The terminal can search the application heat information corresponding to the user characteristic information in each application according to the preset corresponding relationship between the user characteristic information and the application heat information. In specific implementation, the terminal may pre-store a corresponding relationship between the user characteristic information and the application popularity information, and the terminal may obtain the corresponding relationship between the user characteristic information and the application popularity information for one application in the application set, and search for the application popularity information corresponding to the user characteristic information obtained in the application.
In an optional embodiment, when detecting that the user submits the application popularity information to the target application, the terminal may obtain user characteristic information of the user, where the user characteristic information includes at least one characteristic quantity, determine a characteristic set to which each characteristic quantity in the user characteristic information belongs, and update the application popularity information corresponding to each characteristic set in the target application.
In a specific implementation, the terminal may establish a plurality of feature sets, for example, when the feature quantity is age, the corresponding feature set may be: less than 18 years old, 18-24 years old, 25-34 years old, 35-44 years old, and greater than 44 years old; when the feature quantity is gender, the corresponding feature set may be: male and female; when the feature quantity is the area where the user is located, the corresponding feature set may be: the method includes that the parts are divided into Guangdong, Anhui or Liaoning according to provinces, and optionally northeast, northwest or northwest according to geographical regions. When a user downloads an application, the terminal can acquire user characteristic information of the user, determine a characteristic set to which each characteristic quantity in the user characteristic information belongs, and add 1 to the downloading times corresponding to each characteristic set in the application in the corresponding relationship between the user characteristic information of the application and the application popularity information to update the application popularity information of the application.
S205, acquiring a second weight of each application according to the application heat information corresponding to the user characteristic information.
The terminal may obtain the second weight of each application according to the application heat information corresponding to the user feature information. In a specific implementation, when the application popularity information corresponding to the user characteristic information includes the download times corresponding to the age, the download times corresponding to the gender, and the download times corresponding to the located area, the terminal may use the download times corresponding to each user characteristic information of the same application as an input of a third weighting algorithm to obtain a second weight of the application.
In an optional embodiment, after the terminal obtains the application heat information corresponding to the user feature information, normalization processing may be performed on the application heat information corresponding to the user feature information, and the second weight of each application may be obtained according to the application heat information corresponding to each normalized user feature information.
For example, the application set includes a first application, a second application and a third application, wherein the number of downloads corresponding to ages 18-24 in the first application is 200, the number of downloads corresponding to ages 18-24 in the second application is 1000, and the number of downloads corresponding to ages 18-24 in the third application is 1200. The terminal can obtain that the download frequency corresponding to the age after the normalization processing in the first application is 0, the download frequency corresponding to the age after the normalization processing in the second application is 0.8, and the download frequency corresponding to the age after the normalization processing in the third application is 1 through the normalization processing mode.
S206, the first weight and the second weight of the same application are used as input of a first weighting algorithm, and a third weight of the application is obtained.
And S207, sorting the applications according to the third weight of each application.
In an optional embodiment, after the terminal sorts the applications, the sorted applications can be pushed to the user, wherein the relevance between the applications which are ranked in the front and the user characteristics of the user is high, the application which obtains a high ranking in a list swiping mode and the like is reduced as far as possible, and the experience of the user is effectively improved. Further, the terminal may also push the relevant information of the application to the user, and the relevant information may be: software name, software size, software download frequency, software usage rate, software uninstalling reason, software usage evaluation, and the like.
In the embodiment of the invention, the application heat information of each application in the application set is obtained, the first weight of each application is obtained according to each application heat information, the user characteristic information of a user is obtained, the application heat information corresponding to the user characteristic information in each application is searched according to the preset corresponding relation between the user characteristic information and the application heat information, the second weight of each application is obtained according to the application heat information corresponding to the user characteristic information, the first weight and the second weight of the same application are used as the input of a first weighting algorithm, the third weight of the application is obtained, and each application is sequenced according to the size of the third weight of each application, so that the accuracy of application sequencing can be effectively improved.
Referring to fig. 3, fig. 3 is a schematic flowchart of an application management method in another embodiment of the present invention, where the application management method in the embodiment of the present invention includes:
s301, receiving a retrieval instruction input by a user, wherein the retrieval instruction carries a retrieval keyword.
The terminal can receive a retrieval instruction input by a user, and the retrieval instruction carries a retrieval keyword. For example, the terminal provides a search input box through an application store, the user inputs a search keyword in the search input box, and clicks a button that triggers a search instruction to generate the search instruction. For another example, the terminal displays a plurality of search keywords through the application store, the search keywords may be application classification information, such as audio-visual images, chat communication, or life maps, and the user may input a search instruction by clicking the application classification information.
S302, acquiring an application set matched with the retrieval keywords and user characteristic information of the user.
The terminal may obtain a set of applications matching the search key. For example, when the search keyword is a browser, the set of applications matching the search keyword may include different versions of browsers issued by the same developer or browsers issued by different developers, such as Tencent QQ browser, Tencent tt browser, or Google browser. For another example, if the application classification information submitted by the user is a video image, the applications in the application set matched with the application classification information may include storm videos, You Tube, or QQ music.
In specific implementation, the retrieval instruction can carry user characteristic information of the user, and then the terminal acquires the user characteristic information. Optionally, the terminal may analyze and process user data corresponding to the user identification information to obtain user characteristic information, where the user identification information may be an IP address or cookies.
S303, acquiring the application heat information of each application in the application set.
The terminal can acquire the application heat information of each application in the application set. The application popularity information may include one or more of download times, comment level, power consumption level or uninstallation rate. And the downloading times are the counted times of downloading the application by all the users. The comment grade is the evaluation of all the users on the application obtained through statistics, and the comment grade can be a comment score or a comment star grade and the like.
S304, acquiring a first weight of each application according to the heat information of each application.
S305, searching the application heat information corresponding to the user characteristic information in each application according to the preset corresponding relation between the user characteristic information and the application heat information.
And S306, acquiring a second weight of each application according to the application heat information corresponding to the user characteristic information.
S307, sorting the applications according to the first weight and the second weight of the applications.
In the embodiment of the invention, a retrieval instruction input by a user is received, the retrieval instruction carries a retrieval keyword, an application set matched with the retrieval keyword and user characteristic information of the user are obtained, application heat information of each application in the application set is obtained, a first weight of each application is obtained according to the application heat information, the application heat information corresponding to the user characteristic information in each application is searched according to the preset corresponding relation between the user characteristic information and the application heat information, a second weight of each application is obtained according to the application heat information corresponding to the user characteristic information, and each application is sequenced according to the first weight and the second weight of each application, so that the accuracy of application sequencing can be effectively improved.
Referring to fig. 4, fig. 4 is a schematic structural diagram of an application management device provided in an embodiment of the present invention, where the application management device in the embodiment of the present invention may include a tablet computer, a mobile phone, a personal computer, a notebook computer, a vehicle-mounted device, a network television, and other terminals, and as shown in the drawing, the application management device in the embodiment of the present invention may at least include an information obtaining module 401, a weight obtaining module 402, an information searching module 403, and an application sorting module 404, where:
the information obtaining module 401 is configured to obtain application popularity information of each application in the application set.
A weight obtaining module 402, configured to obtain a first weight of each application according to each application heat information.
The information obtaining module 401 is further configured to obtain user characteristic information of the user.
The information searching module 403 is configured to search, according to a preset corresponding relationship between the user characteristic information and the application popularity information, application popularity information corresponding to the user characteristic information in each application.
The weight obtaining module 402 is further configured to obtain a second weight of each application according to the application heat information corresponding to the user feature information.
And an application sorting module 404, configured to sort the applications according to the first weight and the second weight of each application.
In an alternative embodiment, the application sorting module 404 is specifically configured to:
and taking the first weight and the second weight of the same application as the input of the first weighting algorithm to obtain a third weight of the application.
And sequencing the applications according to the third weight of each application.
In an optional embodiment, the application popularity information includes download times and comment levels, and the weight obtaining module 402 obtains a first weight of each application according to each application popularity information, where the first weight is specifically used for:
and taking the download times and the comment grades of the same application as the input of a second weighting algorithm to obtain a first weight of the application.
In an optional embodiment, the information obtaining module 401 obtains the application popularity information of each application in the application set, and is specifically configured to:
and receiving a retrieval instruction input by a user, wherein the retrieval instruction carries a retrieval keyword.
And acquiring an application set matched with the retrieval key words.
And acquiring the application heat information of each application in the application set.
In an optional embodiment, the information obtaining module 401 is further configured to obtain user feature information of the user when it is detected that the user submits the application popularity information to the target application, where the user feature information includes at least one feature quantity.
The application management apparatus in the embodiment of the present invention may further include:
a set determining module 405, configured to determine a feature set to which each feature quantity in the user feature information belongs.
And an information updating module 406, configured to update the application heat information corresponding to each feature set in the target application.
In the embodiment of the present invention, an information obtaining module 401 obtains application heat information of each application in an application set, a weight obtaining module 402 obtains a first weight of each application according to each application heat information, the information obtaining module 401 obtains user feature information of a user, an information searching module 403 searches application heat information corresponding to the user feature information in each application according to a preset corresponding relationship between the user feature information and the application heat information, a weight obtaining module 402 obtains a second weight of each application according to the application heat information corresponding to the user feature information, and an application ranking module 404 ranks each application according to the first weight and the second weight of each application, which can improve accuracy of application ranking.
Referring to fig. 5, fig. 5 is a schematic structural diagram of a terminal according to an embodiment of the present invention, where the terminal according to the embodiment of the present invention may be used to implement the method implemented by the embodiments of the present invention shown in fig. 1 to fig. 3, for convenience of description, only the part related to the embodiments of the present invention is shown, and details of the specific technology are not disclosed, please refer to the embodiments of the present invention shown in fig. 1 to fig. 3.
As shown in fig. 5, the terminal includes: at least one processor 501, such as a CPU, at least one network interface 503, memory 504, at least one communication bus 502. Wherein a communication bus 502 is used to enable connective communication between these components. Memory 504 may comprise, among other things, high-speed RAM memory, and may also include non-volatile memory, such as at least one disk memory. The memory 504 may optionally include at least one memory device located remotely from the processor 501. The processor 501 may incorporate the management means of exposure behavior data shown in fig. 4. A set of program code is stored in the memory 504 and the processor 501 invokes the program code stored in the memory 504 for performing the following operations:
and acquiring the application heat information of each application in the application set.
And acquiring a first weight of each application according to the heat information of each application.
User characteristic information of a user is acquired.
And searching the application heat information corresponding to the user characteristic information in each application according to the preset corresponding relation between the user characteristic information and the application heat information.
And acquiring a second weight of each application according to the application heat information corresponding to the user characteristic information.
And sequencing the applications according to the first weight and the second weight of each application.
In an optional embodiment, the processor 501 sorts the applications according to the first weight and the second weight, and specifically may be:
and taking the first weight and the second weight of the same application as the input of the first weighting algorithm to obtain a third weight of the application.
And sequencing the applications according to the third weight of each application.
In an optional embodiment, the application popularity information includes download times and comment levels, and the processor 501 obtains the first weight of each application according to each application popularity information, which may specifically be:
and taking the download times and the comment grades of the same application as the input of a second weighting algorithm to obtain a first weight of the application.
In an alternative embodiment, the processor 501 obtains the application heat information of each application in the application set, which may specifically be:
a retrieval instruction input by a user is received through the network interface 503, and the retrieval instruction carries a retrieval keyword.
And acquiring an application set matched with the retrieval key words.
And acquiring the application heat information of each application in the application set.
In alternative embodiments, processor 501 may also perform the following operations:
when it is detected through the network interface 501 that the user submits the application popularity information to the target application, user characteristic information of the user is obtained, where the user characteristic information includes at least one characteristic quantity.
And determining a feature set to which each feature quantity in the user feature information belongs.
And updating the application heat information corresponding to each feature set in the target application.
Specifically, the terminal described in the embodiment of the present invention may be used to implement part or all of the processes in the embodiment of the method described in conjunction with fig. 1 to 3 of the present invention.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by a computer program, which can be stored in a computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. The storage medium may be a magnetic disk, an optical disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), or the like.
The above disclosure is only for the purpose of illustrating the preferred embodiments of the present invention, and it is therefore to be understood that the invention is not limited by the scope of the appended claims.
Claims (10)
1. An application management method, comprising:
receiving a retrieval instruction, wherein the retrieval instruction carries retrieval keywords;
acquiring an application set matched with the retrieval keyword;
acquiring application popularity information of each application in the application set, wherein the application popularity information comprises a comment level and one or more of download times, power consumption levels or unloading rates;
calculating the application heat information of the same application through a preset second weighting algorithm to obtain a first weight of the application, or normalizing the application heat information of the same application, and obtaining the first weight of the application according to the normalized application heat information;
acquiring user characteristic information of a user, wherein the user characteristic information is at least used for describing a first characteristic and a second characteristic of the user;
searching for the application heat information corresponding to the first characteristic and the application heat information corresponding to the second characteristic in each application according to a preset corresponding relationship between user characteristic information and the application heat information;
for each application, calculating application heat information corresponding to the first feature and application heat information corresponding to the second feature in the application through a preset third weighting algorithm to obtain a second weight of the application, or normalizing the application heat information corresponding to the first feature and the application heat information corresponding to the second feature in the application, and obtaining the second weight of the application according to the normalized application heat information;
and sequencing the applications according to the first weight and the second weight of the applications.
2. The method of claim 1, wherein the sorting the applications according to the first weight and the second weight comprises:
taking a first weight and a second weight of the same application as the input of a first weighting algorithm to obtain a third weight of the application;
and sequencing the applications according to the magnitude of the third weight of each application.
3. The method of claim 1, wherein the application popularity information comprises download times and comment levels;
the calculating the application heat information of the same application through a preset second weighting algorithm to obtain the first weight of the application comprises:
and taking the download times and the comment grades of the same application as the input of a second weighting algorithm to obtain a first weight of the application.
4. The method of claim 1, further comprising:
when the fact that a user submits application heat information to a target application is detected, user characteristic information of the user is obtained, wherein the user characteristic information comprises at least one characteristic quantity;
determining a feature set to which each feature quantity in the user feature information belongs;
and updating the application heat information corresponding to each feature set in the target application.
5. An application management apparatus, comprising:
the information acquisition module is used for receiving a retrieval instruction, and the retrieval instruction carries retrieval keywords; acquiring an application set matched with the retrieval keyword; acquiring application popularity information of each application in the application set, wherein the application popularity information comprises a comment level and one or more of download times, power consumption levels or unloading rates;
the weight value acquisition module is used for calculating the application heat information of the same application through a preset second weighting algorithm to obtain a first weight value of the application, or carrying out normalization processing on the application heat information of the same application, and acquiring the first weight value of the application according to the application heat information after the normalization processing;
the information acquisition module is further used for acquiring user characteristic information of a user, wherein the user characteristic information is at least used for describing a first characteristic and a second characteristic of the user;
the information searching module is used for searching the application heat information corresponding to the first characteristic and the application heat information corresponding to the second characteristic in each application according to the preset corresponding relation between the user characteristic information and the application heat information;
the weight value obtaining module is further configured to calculate, for each application, application heat information corresponding to the first feature and application heat information corresponding to the second feature in the application through a preset third weighting algorithm to obtain a second weight value of the application, or normalize the application heat information corresponding to the first feature and the application heat information corresponding to the second feature in the application, and obtain the second weight value of the application according to the normalized application heat information;
and the application sequencing module is used for sequencing the applications according to the first weight and the second weight of each application.
6. The apparatus of claim 5, wherein the application sequencing module is specifically configured to:
taking a first weight and a second weight of the same application as the input of a first weighting algorithm to obtain a third weight of the application;
and sequencing the applications according to the magnitude of the third weight of each application.
7. The apparatus of claim 5, wherein the application popularity information comprises download times and comment levels;
the weight value obtaining module calculates the application heat information of the same application through a preset second weighting algorithm to obtain a first weight value of the application, and the weight value obtaining module is specifically used for:
and taking the download times and the comment grades of the same application as the input of a second weighting algorithm to obtain a first weight of the application.
8. The apparatus of claim 5,
the information acquisition module is further used for acquiring user characteristic information of the user when detecting that the user submits application popularity information to the target application, wherein the user characteristic information comprises at least one characteristic quantity;
the device further comprises:
the set determining module is used for determining a feature set to which each feature quantity in the user feature information belongs;
and the information updating module is used for updating the application heat information corresponding to each feature set in the target application.
9. A terminal, characterized in that the terminal comprises:
a memory for storing program code;
a processor for calling the program code stored in the memory to execute the application management method of any of claims 1 to 4.
10. A computer-readable storage medium, characterized in that it stores a computer program which, when executed by a terminal, causes the terminal to execute the application management method according to any one of claims 1 to 4.
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| CN107833073A (en) * | 2017-11-08 | 2018-03-23 | 吉浦斯信息咨询（深圳）有限公司 | Application potential appraisal procedure, system |
| CN109743755A (en) * | 2018-12-19 | 2019-05-10 | Oppo广东移动通信有限公司 | Link aggregation right management method and Related product |
| CN110175265A (en) * | 2019-05-10 | 2019-08-27 | 广州优视云集科技有限公司 | Content author, works methods of marking, ranking list generation method and processing terminal |
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| CN103049452B (en) * | 2011-10-14 | 2017-12-26 | 百度在线网络技术（北京）有限公司 | It is a kind of based on estimate download rate carry out using sequence method and apparatus |
| CN103488788B (en) * | 2011-12-27 | 2019-03-08 | 北京奇虎科技有限公司 | It is a kind of to apply the method and device recommended automatically |
| KR101895536B1 (en) * | 2011-12-29 | 2018-10-25 | 삼성전자주식회사 | Server and terminal for recommending application according to use of application, and recommending application method |
| CN103327102B (en) * | 2013-06-24 | 2016-12-28 | 小米科技有限责任公司 | A kind of method and apparatus recommending application program |
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