CN108881332B

CN108881332B - Pre-downloading method and device

Info

Publication number: CN108881332B
Application number: CN201710321979.6A
Authority: CN
Inventors: 陈小帅; 张扬
Original assignee: Beijing Sogou Technology Development Co Ltd
Current assignee: Beijing Sogou Technology Development Co Ltd
Priority date: 2017-05-09
Filing date: 2017-05-09
Publication date: 2022-02-01
Anticipated expiration: 2037-05-09
Also published as: CN108881332A

Abstract

The embodiment of the invention discloses a pre-downloading method and a device, which can determine other programs which are possibly triggered and used by a first program when the first program runs according to a pre-obtained association probability, wherein the other programs can be one or more programs except the first program, such as a second program, the programs can be regarded as the associated programs corresponding to the first program, the pre-downloading program is determined from the associated programs, and the pre-downloading program is downloaded in advance, so that the pre-downloading program is ensured to be downloaded in advance before being run in an intelligent terminal as much as possible, and therefore, when a user needs to use the pre-downloading program on the intelligent terminal, the user can directly install the pre-downloading program through the pre-downloading installation package, the time for waiting for downloading the installation package is saved, and the user experience is improved.

Description

Pre-downloading method and device

Technical Field

The present invention relates to the field of data processing, and in particular, to a pre-download method and apparatus.

Background

Each program can be installed in the intelligent terminal to realize each function, when one program is executed on the intelligent terminal, the program can provide one or more functional entrances, and if the function or the functions need to be realized, the function or the functions need to be realized by the operation of other programs. With one procedure: the QQ is taken as an example, the QQ provides a news viewing entrance for a user, such as a picture, a virtual button, a function key and the like, and when the QQ is operated, the user can operate the program of the flight news on the intelligent terminal to provide the news viewing function by triggering the news viewing entrance provided by the QQ.

The programs to be assisted by different programs during running may be different, that is, the program a to be assisted by the program a during running may be different from the program b to be assisted by the program b during running, so that when a user triggers a function entry provided by a certain program on the intelligent terminal, the program to be executed through the function entry is not installed on the intelligent terminal, and in this case, an installation package of the program needs to be downloaded and installed on the intelligent terminal to provide services for the user.

The intelligent terminal needs a certain downloading time to download the installation package, so that a user can obtain the service provided by the intelligent terminal after waiting for a certain time, and the user experience is not good.

Disclosure of Invention

In order to solve the technical problem, the invention provides a pre-downloading method and a pre-downloading device, so that the time for waiting for downloading an installation package is saved, and the user experience is improved.

The embodiment of the invention discloses the following technical scheme:

in a first aspect, an embodiment of the present invention provides a pre-download method, where the method includes:

determining a related program corresponding to the first program according to a pre-acquired related probability, wherein the pre-acquired related probability comprises a probability of triggering the first program to use a second program in historical data when the first program runs, the first program is installed in an intelligent terminal, and the related program comprises a program with the related probability of the first program;

determining a pre-downloaded program from the associated programs;

and pre-downloading the pre-downloading program in the intelligent terminal.

Optionally, the probability of association that the second program has with the first program is calculated from the number of times in the history that the second program was triggered to be downloaded when the first program was run, and/or the number of times in the history that the second program was triggered to be launched when the first program was run.

Optionally, the determining a pre-downloaded program from the associated program includes:

and determining the associated program with the association probability meeting the preset condition with the first program as the pre-downloaded program.

Optionally, the determining, as the pre-downloaded program, the associated program whose associated probability with the first program meets a preset condition includes:

calculating a composite score based on the pre-download score and the associated probability, the pre-download score identifying a likelihood that the program is pre-downloaded in the historical data;

and determining the associated program with the comprehensive score meeting the preset condition as the pre-downloading program.

and determining the associated program with the pre-download score meeting the preset condition as the pre-download program, wherein the pre-download score is used for identifying the possibility that the program is pre-downloaded in the historical data.

Optionally, the pre-download score of the second program is calculated according to the number of times that the download of the second program installation package is cancelled in the historical data in the non-Wi-Fi network environment and the number of times that the download of the second program installation package is performed in the Wi-Fi network environment.

Optionally, the composite score of the second program is calculated according to the pre-download score of the second program, the association probability with the first program, and the usage of the first program.

Optionally, the usage of the first program includes a usage frequency of the first program on the smart terminal and a time when the first program is not used on the smart terminal.

Optionally, the second program is installed in the intelligent terminal, and the determining a pre-downloaded program from the associated program includes:

and determining the pre-downloaded program according to the associated program of the first program and the associated program of the second program.

Optionally, the pre-downloading program in the intelligent terminal includes:

sequencing the pre-downloading programs to obtain a downloading queue;

and pre-downloading the pre-downloading program according to the downloading queue.

Optionally, the method further includes:

and providing a function of viewing or editing the download queue for the user.

Optionally, before the pre-downloading of the pre-downloading program in the intelligent terminal, the method further includes:

judging whether the intelligent terminal is in a wireless fidelity Wi-Fi network environment or not;

and if so, executing the step of pre-downloading the pre-downloading program in the intelligent terminal.

Optionally, before determining the pre-downloaded program from the associated program, the method further includes:

and removing the programs which are already installed in the intelligent terminal from the associated programs.

In a second aspect, an embodiment of the present invention provides a pre-download apparatus, where the apparatus includes a first determining unit, a second determining unit, and a pre-download unit:

the first determining unit is configured to determine a related program corresponding to the first program according to a pre-obtained related probability, where the pre-obtained related probability includes a probability that the first program triggers to use a second program when the first program runs in historical data, the first program is installed in an intelligent terminal, and the related program includes a program having a related probability with the first program;

the second determining unit is used for determining a pre-downloaded program from the associated programs;

and the pre-downloading unit is used for pre-downloading the pre-downloading program in the intelligent terminal.

Optionally, the second determining unit is further configured to determine, as the pre-downloaded program, an associated program of which the associated probability with the first program meets a preset condition.

Optionally, the second determining unit is further configured to calculate a composite score according to the pre-download score and the association probability, where the pre-download score is used to identify a possibility that the program is pre-downloaded in the history data; and determining the associated program with the comprehensive score meeting the preset condition as the pre-downloading program.

Optionally, the second determining unit is further configured to determine, as the pre-downloaded program, an associated program with a pre-download score that meets a preset condition, where the pre-download score is used to identify a possibility that the program is pre-downloaded in the history data.

Optionally, the second program is installed in the intelligent terminal, and the second determining unit is further configured to determine the pre-downloaded program according to the program associated with the first program and the program associated with the second program.

Optionally, the pre-download unit is further configured to sort the pre-download programs to obtain a download queue; and pre-downloading the pre-downloading program according to the downloading queue.

Optionally, the method further comprises a viewing editing unit:

and the viewing and editing unit is used for providing a function of viewing or editing the download queue for a user.

Optionally, the method further includes:

the judging unit is used for judging whether the intelligent terminal is in a wireless fidelity Wi-Fi network environment or not; and if so, triggering the pre-downloading unit.

Optionally, the system further comprises a rejecting unit:

and the removing unit is used for removing the programs which are already installed in the intelligent terminal from the associated programs.

In a third aspect, an embodiment of the present invention provides an apparatus for pre-downloading, comprising a memory, and one or more programs, wherein the one or more programs are stored in the memory, and the one or more programs configured to be executed by the one or more processors include instructions for:

determining a pre-downloaded program from the associated programs;

and pre-downloading the pre-downloading program in the intelligent terminal.

According to the technical scheme, other programs which are possibly triggered to be used when the first program runs can be determined according to the pre-obtained association probability, the other programs can be one or more programs except the first program, such as a second program, the programs can be regarded as the associated program corresponding to the first program, the pre-downloaded program is determined from the associated program, the pre-downloaded program is downloaded in advance, and it is ensured as much as possible that the installation package of the pre-downloaded program is downloaded in advance before the pre-downloaded program is run in the intelligent terminal, so that when a user needs to use the pre-downloaded program on the intelligent terminal, the user can install the pre-downloaded program directly through the pre-downloaded installation package, the time for waiting for downloading the installation package is saved, and the user experience is improved.

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, and 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 these drawings without creative efforts.

Fig. 1 is a flowchart of a method of a pre-download method according to an embodiment of the present invention;

fig. 2 is a device structure diagram of a pre-download device according to an embodiment of the present invention;

fig. 3 is a block diagram of an apparatus for pre-downloading according to an embodiment of the present invention;

fig. 4 is a block diagram of a server for pre-download according to an embodiment of the present invention.

Detailed Description

Embodiments of the present invention will be described below with reference to the accompanying drawings.

Different programs can be installed on the intelligent terminal to realize various functions, but the programs are not large generally, so that the functions which can be realized by one program cannot be included too much. In order to improve the user stickiness, one program may provide some function entries which cannot realize functions by itself, and by triggering such function entries, other programs may be run to realize more functions for the user, thereby providing a more comprehensive experience for the user.

However, since there may be many programs to be used during the running of the program, when a user needs to trigger another program to start through a function entry of one program, the program to be started is not installed in the mobile phone, so that only the installation package of the program can be downloaded to the mobile phone for installation, and the user needs to wait for a certain time to download the installation package, which is not good in experience.

Therefore, the embodiment of the invention provides a pre-download method and a pre-download device, which can determine other programs that may trigger the use of the first program when the first program runs according to a pre-obtained association probability, where the other programs may be one or more programs other than the first program, for example, a second program, and these programs may be regarded as associated programs corresponding to the first program, determine a pre-download program from the associated programs, and perform pre-download on the pre-download program, and ensure that an installation package of the pre-download program is downloaded in advance before the pre-download program is run in an intelligent terminal as much as possible, so that when a user needs to use the pre-download program on the intelligent terminal, the user can directly install the pre-download program through the pre-download installation package, which avoids waiting for the installation package to be downloaded, and improves user experience.

In an application scenario of the embodiment of the present invention, the intelligent terminal may be a mobile device with an intelligent system, such as a mobile phone, a PAD, a laptop, and the like. The program can be installed in the intelligent terminal, the program in the embodiment of the present invention can be an Application (APP), a client, and the like, and the downloaded program can have different download contents according to different running and installation manners of the program, for example, when the program needs to be installed to be run, the downloaded program can be understood as an installation package of the downloaded program, and when the program is an installation-free case, the downloaded program can be understood as the downloaded program itself.

Fig. 1 is a flowchart of a method of a pre-download method according to an embodiment of the present invention, where the method includes:

s101: determining a related program corresponding to the first program according to a pre-acquired related probability, wherein the pre-acquired related probability comprises a probability of triggering the first program to use a second program in historical data when the first program runs, the first program is installed in an intelligent terminal, and the related program comprises a program with the related probability of the first program.

The pre-obtained association probability may include which programs are needed to assist in starting to provide additional functional services when different programs are running, and when one program runs, a program started by triggering a functional entry provided by the program may be understood as a program having an association probability with the program. The concept of the program running provided by the embodiment of the invention can refer to the situation that the program is in the foreground and the program running interface is being displayed on the display interface of the intelligent terminal, and in some situations, the program can also be understood to be in a background running state.

Since the trigger uses a program with different concepts in the embodiment of the present invention, the corresponding association probability can also be obtained according to different parameters. Triggering the use of a program is at least understood to include the three different concepts of triggering the downloading of a program and/or triggering the running of a program.

The determination of the association probability will be described by taking as an example the second program having the association probability with the first program. Optionally, the probability of the second program having a connection with the first program is calculated based on the number of times in the history that the first program triggered to download the second program when running, and/or the number of times in the history that the first program triggered to cause the second program to be started when running.

In order to provide accuracy of the association probability, when calculating the association probability of a program with a first program, the embodiment of the invention mainly focuses on the number of times of triggering the downloading of the second program when the first program runs in the historical data, namely the part with relatively higher weight in the calculation, and takes the number of times of triggering the second program when the first program runs in the historical data as the auxiliary, namely the part with relatively lower weight in the calculation.

Taking the first program as QQ, the association probability as the number of times of triggering the downloading program when QQ runs in the history data as an example, when QQ runs, through the function entry provided by QQ, a plurality of programs may be started, where the programs may include flight news, application treasure, and sky flash report, and the like, the association probability of flight news and QQ may be 0.25, the association probability of application treasure and QQ may be 0.15, and the association probability of sky flash report and QQ may be 0.1.

By analyzing the historical data, it is possible to derive what the probability of triggering the use of other queries during the course of one program, e.g., the first program, being run. The historical data may be historical data within a certain time and user range, or may be a general term of the historical data of the whole network under the related network, and the more the related data amount is, the higher the accuracy of the obtained association probability is generally.

Different programs may have different probabilities of association with the first program, and the greater the probability of association of a program with the first program, the greater the proportion of the number of times that the program is triggered when the first program is running to the total number of times that the first program is triggered to use when running. There may be at least one program having an associated probability with the first program, i.e. at least one function entry provided while the first program is running, which may trigger the running of at least one program to assist in providing a different function.

In the embodiment of the present invention, how to determine the associated program corresponding to the first program according to the association probability is not limited, for example, all programs having the association probability with the first program may be determined as the associated program corresponding to the first program, or a part of programs having a higher association probability with the first program may be determined as the associated program corresponding to the first program. For example, in the case that the association probability of the flight news and the QQ may be 0.25, the association probability of the application treasure and the QQ may be 0.15, and the association probability of the fast heaven report and the QQ may be 0.1, the flight news, the application treasure, and the fast heaven report may all be determined as the association program of the QQ, or the flight news with a higher association probability of the QQ may be determined as the association program of the QQ.

S102: and determining a pre-downloaded program from the associated programs.

The embodiment of the present invention does not limit how to determine the pre-downloaded program from the associated programs, and for example, all the associated programs may be determined as the pre-downloaded program, or a part of programs may be determined from the associated programs as the pre-downloaded program according to a certain computing mechanism.

S103: and pre-downloading the pre-downloading program in the intelligent terminal.

The pre-downloading provided by the embodiment of the invention refers to the downloading behavior of the pre-downloading program to the intelligent terminal before the pre-downloading program is operated in the intelligent terminal.

In the case that there are multiple pre-download programs, the embodiment of the present invention may download in different manners, such as sequential downloading or parallel downloading. Under the condition of sequential downloading, the pre-downloading programs can be sequenced to obtain a downloading queue, and then the pre-downloading programs are pre-downloaded according to the downloading queue.

During sorting, the pre-downloading programs which are relatively more important can be arranged at the front part of the queue, so that the important pre-downloading programs can be downloaded to the intelligent terminal under the condition of unstable network or insufficient flow. An important pre-downloaded program as described herein may be understood as a program that has a high probability of being triggered for use by a user when the program, e.g. the first program, is running.

After the download queue is obtained, the user can be prompted and provided with the authority for viewing or editing the download queue. Therefore, the user can check which pre-downloaded programs in the download queue wait to be downloaded or are being downloaded, and the user can edit the pre-downloaded programs arranged in the download queue according to the preference of the user, such as changing the download sequence, deleting unnecessary pre-downloaded programs, adding programs desired to be downloaded, and the like.

It should be noted that, when the smart terminal is in a non-Wireless Fidelity (Wi-Fi) network environment, the pre-downloaded program may not be downloaded due to the absence of the 3G or 4G function, or the traffic available when the smart terminal has the 3G or 4G function is not enough, so that the user may spend extra expenses through the quick download, and before the pre-download of the pre-downloaded program in the smart terminal, it may be determined in advance whether the smart terminal is in the Wi-Fi network environment, and if the smart terminal is connected to Wi-Fi, S103 may be executed, thereby improving the user experience.

It should be noted that, because the intelligent terminal may also be installed with a second program in addition to the first program, these programs may have pre-downloaded programs, and if the program already installed in the intelligent terminal in the pre-downloaded program is re-downloaded, not only system resources are wasted, but also the user experience is not good. Therefore, before determining which associated programs are pre-downloaded programs, the programs installed in the intelligent terminal can be removed from the associated programs, repeated downloading and repeated installation are avoided, system resources are saved, and user experience is improved.

It can be seen that a second program which is possibly triggered to be used when the first program runs can be determined according to the pre-obtained association probability, the programs can be regarded as the associated programs corresponding to the first program, the pre-downloaded program is determined from the associated programs, the pre-downloaded program is pre-downloaded, and it is ensured as much as possible that an installation package of the pre-downloaded program is pre-downloaded before the pre-downloaded program is run in the intelligent terminal.

Next, how to determine the pre-downloaded program from the associated programs will be described. Generally, the determined associated programs may be more in number, if all the associated programs are used as pre-downloading programs, a large amount of data needs to be pre-downloaded, the pre-downloading time is also longer, and the normal use of the intelligent terminal by a user may be affected, so that the pre-downloading data amount needs to be reduced as much as possible on the premise of ensuring the pre-downloading accuracy, and before the pre-downloading, the programs which are associated with the first program but have low possibility of being triggered and used by the user when the first program runs are eliminated.

The embodiment of the invention provides various ways for determining the pre-downloaded program from the associated programs, and the following description is made for several main ways.

The first mode is as follows: and determining the associated program of which the associated probability with the first program meets the preset condition as a pre-downloaded program.

The meaning of the association probability has been clarified in the foregoing, and when program a has a higher association probability with program b, it is proved that program a has a higher probability of being triggered to be used by the user when program b runs in the history data. Determining the associated program with the higher association probability with the first program as the pre-downloaded program can ensure that the pre-downloaded program is more likely to be required by the user and is more likely to be triggered by the user to be used when the first program is running.

Therefore, the preset condition may be set to a higher association probability or a few higher bits in the association probability, so that the associated program meeting the preset condition may be a program with a higher association probability with the first program, and if the program is pre-downloaded as a pre-downloaded program, the possibility that the user triggers to use the program when the first program runs is higher, so that the possibility of improving the user experience is higher.

Besides determining the pre-downloaded program by using the association probability, the embodiment of the present invention also provides a second way of determining the pre-downloaded program from the associated program.

The second mode is as follows: and calculating a comprehensive score according to the pre-download score and the association probability, and determining the association program with the comprehensive score meeting the preset condition as the pre-download program.

In the present mode, the concept of pre-download score, which is determined by historical data, is introduced to assist in determining the pre-download program. The pre-download score can be used to identify the likelihood of a program being pre-downloaded in the history, i.e., how likely it is that program b was pre-downloaded while program a was running, and generally speaking, the greater the pre-download score for a program, the greater the likelihood of being pre-downloaded.

Optionally, in the embodiment of the present invention, a manner of determining a pre-download score from the history data is provided, and taking a second program different from the first program as an example, the pre-download score of the second program is calculated according to the number of times that downloading of the second program installation package is cancelled in the history data in the non-Wi-Fi network environment, and the number of times that the second program installation package is downloaded in the Wi-Fi network environment. The case of canceling the download described herein may include an operation behavior in which the download process is suspended, the download process is deleted, or the like, so that the download cannot be successfully performed.

Since users generally want to download programs or installation packages of programs in a Wi-Fi network environment in order to save traffic, and use limited traffic on programs that require high-frequency traffic consumption, such as chat software, navigation software, live broadcast software, etc., it can be considered that users actually prefer to pre-download a program whenever the program is downloaded more times in a non-Wi-Fi network environment, such as a 3G/4G network environment, and more times the program is downloaded in a Wi-Fi network environment, as long as the network environment allows.

Therefore, the pre-download score capable of identifying the pre-download will of the user can be calculated according to the times that the second program is downloaded in the non-Wi-Fi network environment and the times that the second program installation package is downloaded in the Wi-Fi network environment.

In order to better quantify the user intention, optionally, in the embodiment of the present invention, a value obtained by multiplying the number of times that the second program is downloaded in the Wi-Fi network environment by the number of times that the second program installation package is downloaded in the Wi-Fi network environment is cancelled in the non-Wi-Fi network environment as a pre-download score, and both the two times have a certain positive correlation with the intention of the user that the user wants to pre-download the second program, so that a value obtained by multiplying the two times is used as the pre-download score, and the size of the pre-download score can better reflect the intention of the user to pre-download the second program. However, it should be noted that when the coverage range of the historical data is large, the determined download times and the download cancellation times of the second program may be large, and the value after the multiplication is larger, so to simplify the calculation amount, the value of the pre-download score may be reduced to some extent, for example, the pre-download score of the second program may be obtained by multiplying two times and then dividing by the total download times of the second program.

Since the pre-download score of the second program may be used to quantify the will of the user whether the user wishes to pre-download the second program, the determination of whether the second program can be determined as the pre-download program may be performed in accordance with the probability of association between the second program and the first program. Since the pre-download score of the second program is positively correlated with the intention of the user to trigger the use of the second program when the user runs the first program, and the association probability of the second program with the first program is positively correlated with the possibility of triggering the use of the second program when the first program runs, the comprehensive score calculated by the pre-download score of the third field and the association probability of the second program with the first program can accurately reflect the possibility that the second program is possibly triggered to be used when the first program runs.

Optionally, an embodiment of the present invention provides a method for calculating a composite score, taking the second program as an example, because both the pre-download score of the second program and the association probability with the first program are positively correlated with the possibility of triggering the use of the second program when the first program runs, the pre-download score of the second program and the association probability with the first program may be multiplied, and the obtained product is used as the composite score of the second program.

Or, an embodiment of the present invention further provides a method for calculating a composite score, where taking the second program as an example, the composite score of the second program is calculated according to the pre-download score of the second program, the association probability with the first program, and the usage of the first program. In this calculation method, the usage of the first program is also comprehensively considered, because although the first program is installed in the smart terminal, the first program is not a program commonly used by the user on the smart terminal, and if the first program is not commonly used or the usage frequency is low, the meaning of pre-downloading the pre-downloaded program corresponding to the first program is not significant even if the comprehensive score of the pre-downloaded program corresponding to the first program is high.

The embodiment of the invention can quantify the use condition of the first program through various parameters, for example, the use condition can comprise the use frequency of the first program on the intelligent terminal and the unused time of the first program on the intelligent terminal. The number of times of use of the first program per unit time on the intelligent terminal can be determined according to the frequency of use of the first program, generally speaking, the program with the lower number of times of use may not be a common program of the user, meanwhile, it can be further clarified whether the first program is run on the intelligent terminal for a long time according to the time that the first program is not used on the intelligent terminal, and if the number of times of use of the first program is lower and the time that the first program is not used is longer, it can be determined that the first program is not a common program of the user on the intelligent terminal.

By introducing the use condition of the first program, the comprehensive score of the pre-downloaded program corresponding to the infrequent program can be reduced to a certain extent, so that the pre-downloaded program corresponding to the frequently-used program of the user can be downloaded in limited downloading time or flow as far as possible, and the possible triggering requirement of the user when the frequently-used program is used on the intelligent terminal can be met.

The embodiment of the invention provides a method for calculating and integrating the use condition of a first program, taking the second program as an example, multiplying the pre-download score of the second program by the association probability of the first program and the use frequency of the first program, and subtracting the time of the first program which is not used on an intelligent terminal from the product, wherein the final calculation result can be used as the integrated score of the second program.

According to a specific application scenario as an example, a user has installed APP1 and APP2 in an intelligent terminal, wherein association probabilities obtained through analysis of historical data determine that the associated APPs of APP1 include APP11, APP12, APP13, and the like, and the association probabilities of the associated APPs with APP1 are p11, p12, and p13, respectively. The determined associated APPs of the APP2 comprise APP21, APP22, APP23 and the like, and the associated APPs have the association probabilities with the APP2 which are p21, p22 and p23 respectively. The pre-download score of APP11 is px11, the pre-download score of APP12 is px 12.

Association APP for APP 1: the combined score of APP11, p11 px11 APP1 frequency of use-x APP1 up to now unused time, where x may be a predetermined coefficient.

After the comprehensive score of each associated program is determined, the pre-downloaded program may be determined according to whether the comprehensive score meets a preset condition, where the preset condition may be similar to the description of the preset condition in the first manner, and is not described herein again.

The third mode is as follows: and determining the associated program with the pre-download score meeting the preset condition as the pre-download program, wherein the pre-download score is used for identifying the possibility that the program is pre-downloaded in the historical data.

According to the foregoing description of the pre-download score, it is clear that the size of the pre-download score of a program can be used to quantify the desire of the user to pre-download the program to some extent, so that the pre-download score can be used as a basis for determining the pre-download program. The preset conditions may be similar to the preset conditions described in the first embodiment, and are not described herein again.

From the foregoing description of the usage of the first program, it is clear that if the first program is not commonly used or the usage frequency is low, even if the total score of the pre-downloaded programs corresponding to the first program is high, the meaning of pre-downloading the pre-downloaded programs corresponding to the first program is not significant. Therefore, when calculating the comprehensive score, the use condition of the first program can be further introduced to avoid the condition. The role, possible composition and manner of use of the first program has been explained in the foregoing second manner and will not be described in detail here.

It should be noted that, in the foregoing description, for convenience and clarity of explanation, the description of the first program is mainly used in the embodiment of the present invention, but in addition to the first program, a second program may also be installed in the smart terminal. In the foregoing various embodiments, when a plurality of programs are installed in the smart terminal, for example, when the first program and the second program are installed, the pre-downloaded program may be determined according to the program related to the first program and the program related to the second program, with respect to the program related to the first program and the program related to the second program. For example, the pre-downloaded program is determined by comprehensively considering the comprehensive scores or association probabilities of the respective programs, and if there are duplicate programs in the association programs determined by the two programs, the pre-downloaded program may be determined after deduplication.

Fig. 2 is a device structure diagram of a pre-download device according to an embodiment of the present invention, where the device includes a first determining unit 201, a second determining unit 202, and a pre-download unit 203:

a first determining unit 201, configured to determine a related program corresponding to the first program according to a pre-obtained related probability, where the pre-obtained related probability includes a probability that the first program triggers to use a second program when the first program runs in historical data, and the first program is installed in an intelligent terminal, and the related program includes a program having a related probability with the first program.

A second determining unit 202, configured to determine a pre-downloaded program from the associated programs.

And a pre-downloading unit 203, configured to pre-download the pre-downloading program in the intelligent terminal.

Optionally, the method further comprises a viewing editing unit:

Optionally, the method further includes:

Optionally, the system further comprises a rejecting unit:

The description of the above features may refer to the description related to the embodiment shown in fig. 1, and is not repeated here.

It can be seen that other programs which may be triggered and used by the first program when the first program runs can be determined according to the pre-obtained association probability, where the other programs may be one or more programs other than the first program, for example, a second program, and these programs can be regarded as the associated program corresponding to the first program, the pre-download program is determined from the associated programs, and the pre-download program is downloaded in advance, so as to ensure that the installation package of the pre-download program is downloaded in advance before the pre-download program is run in the intelligent terminal as much as possible, and thus when a user needs to use the pre-download program on the intelligent terminal, the user can directly install the pre-download installation package, which saves the time for waiting for the installation package to be downloaded, and improves user experience.

Fig. 3 is a block diagram illustrating an apparatus 300 for speech synthesis according to an example embodiment. For example, the apparatus 300 may be a robot, a mobile phone, a computer, a digital broadcast terminal, a messaging device, a game console, a tablet device, a medical device, an exercise device, a personal digital assistant, and the like.

Referring to fig. 3, the apparatus 300 may include one or more of the following components: processing component 302, memory 304, power component 306, multimedia component 308, audio component 310, input/output (I/O) interface 312, sensor component 314, and communication component 316.

The processing component 302 generally controls overall operation of the device 300, such as operations associated with display, telephone calls, data communications, camera operations, and recording operations. The processing elements 302 may include one or more processors 320 to execute instructions to perform all or a portion of the steps of the methods described above. Further, the processing component 302 can include one or more modules that facilitate interaction between the processing component 302 and other components. For example, the processing component 302 may include a multimedia module to facilitate interaction between the multimedia component 303 and the processing component 302.

The memory 304 is configured to store various types of data to support operations at the apparatus 300. Examples of such data include instructions for any application or method operating on device 300, contact data, phonebook data, messages, pictures, videos, and so forth. The memory 304 may be implemented by any type or combination of volatile or non-volatile memory devices, such as Static Random Access Memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic or optical disks.

The power supply component 306 provides power to the various components of the device 300. The power components 306 may include a power management system, one or more power supplies, and other components associated with generating, managing, and distributing power for the apparatus 300.

The multimedia component 308 includes a screen that provides an output interface between the device 300 and a user. In some embodiments, the screen may include a Liquid Crystal Display (LCD) and a Touch Panel (TP). If the screen includes a touch panel, the screen may be implemented as a touch screen to receive an input signal from a user. The touch panel includes one or more touch sensors to sense touch, slide, and gestures on the touch panel. The touch sensor may not only sense the boundary of a touch or slide action, but also detect the duration and pressure associated with the touch or slide operation. In some embodiments, the multimedia component 308 includes a front facing camera and/or a rear facing camera. The front camera and/or the rear camera may receive external multimedia data when the device 300 is in an operating mode, such as a shooting mode or a video mode. Each front camera and rear camera may be a fixed optical lens system or have a focal length and optical zoom capability.

The audio component 310 is configured to output and/or input audio signals. For example, audio component 310 includes a Microphone (MIC) configured to receive external audio signals when apparatus 300 is in an operating mode, such as a call mode, a recording mode, and a voice recognition mode. The received audio signals may further be stored in the memory 304 or transmitted via the communication component 316. In some embodiments, audio component 310 also includes a speaker for outputting audio signals.

The I/O interface 312 provides an interface between the processing component 302 and peripheral interface modules, which may be keyboards, click wheels, buttons, etc. These buttons may include, but are not limited to: a home button, a volume button, a start button, and a lock button.

The sensor assembly 314 includes one or more sensors for providing various aspects of status assessment for the device 300. For example, sensor assembly 314 may detect an open/closed state of device 300, the relative positioning of components, such as a display and keypad of device 300, the change in position of device 300 or a component of device 300, the presence or absence of user contact with device 300, the orientation or acceleration/deceleration of device 300, and the change in temperature of device 300. Sensor assembly 314 may include a proximity sensor configured to detect the presence of a nearby object without any physical contact. The sensor assembly 314 may also include a light sensor, such as a CMOS or CCD image sensor, for use in imaging applications. In some embodiments, the sensor assembly 314 may also include an acceleration sensor, a gyroscope sensor, a magnetic sensor, a pressure sensor, or a temperature sensor.

The communication component 316 is configured to facilitate wired or wireless communication between the apparatus 300 and other devices. The device 300 may access a wireless network based on a communication standard, such as WiFi, 2G or 3G, or a combination thereof. In an exemplary embodiment, the communication section 316 receives a broadcast signal or broadcast-related information from an external broadcast management system via a broadcast channel. In an exemplary embodiment, the communication component 316 further includes a Near Field Communication (NFC) module to facilitate short-range communications. For example, the NFC module may be implemented based on Radio Frequency Identification (RFID) technology, infrared data association (IrDA) technology, Ultra Wideband (UWB) technology, Bluetooth (BT) technology, and other technologies.

In an exemplary embodiment, the apparatus 300 may be implemented by one or more Application Specific Integrated Circuits (ASICs), Digital Signal Processors (DSPs), Digital Signal Processing Devices (DSPDs), Programmable Logic Devices (PLDs), Field Programmable Gate Arrays (FPGAs), controllers, micro-controllers, microprocessors or other electronic components for performing the above-described methods.

In an exemplary embodiment, a non-transitory computer-readable storage medium comprising instructions, such as the memory 304 comprising instructions, executable by the processor 320 of the apparatus 300 to perform the above-described method is also provided. For example, the non-transitory computer readable storage medium may be a ROM, a Random Access Memory (RAM), a CD-ROM, a magnetic tape, a floppy disk, an optical data storage device, and the like.

A non-transitory computer readable storage medium having instructions therein which, when executed by a processor of a mobile terminal, enable the mobile terminal to perform a speech synthesis method, the method comprising:

determining a pre-downloaded program from the associated programs;

and pre-downloading the pre-downloading program in the intelligent terminal.

Fig. 4 is a schematic structural diagram of a server in an embodiment of the present invention. The server 400 may vary significantly due to configuration or performance, and may include one or more Central Processing Units (CPUs) 422 (e.g., one or more processors) and memory 432, one or more storage media 430 (e.g., one or more mass storage devices) storing applications 442 or data 444. Wherein the memory 432 and storage medium 430 may be transient or persistent storage. The program stored on the storage medium 430 may include one or more modules (not shown), each of which may include a series of instruction operations for the server. Still further, the central processor 422 may be arranged to communicate with the storage medium 430, and execute a series of instruction operations in the storage medium 430 on the server 400.

The server 400 may also include one or more power supplies 424, one or more wired or wireless network interfaces 450, one or more input-output interfaces 458, one or more keyboards 454, and/or one or more operating systems 441, such as Windows Server, Mac OS XTM, UnixTM, LinuxTM, FreeBSDTM, etc.

Other embodiments of the invention will be apparent to those skilled in the art from consideration of the specification and practice of the invention disclosed herein. This invention is intended to cover any variations, uses, or adaptations of the invention following, in general, the principles of the invention and including such departures from the present disclosure as come within known or customary practice within the art to which the invention pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the invention being indicated by the following claims.

It will be understood that the invention is not limited to the precise arrangements described above and shown in the drawings and that various modifications and changes may be made without departing from the scope thereof. The scope of the invention is only limited by the appended claims

The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents, improvements and the like that fall within the spirit and principle of the present invention are intended to be included therein.

Claims

1. A method of pre-downloading, the method comprising:

determining a related program corresponding to a first program according to a pre-acquired related probability, wherein the pre-acquired related probability comprises a probability of triggering a second program to use when the first program runs in historical data, the first program is installed in an intelligent terminal, and the related program comprises a program with the related probability of the first program; the association probability of the second program with the first program is calculated according to the times of triggering the downloading of the second program when the first program runs in historical data;

determining a pre-downloaded program from the associated programs;

pre-downloading the pre-downloaded program in the intelligent terminal, wherein the pre-downloading comprises downloading an installation package of the pre-downloaded program in the intelligent terminal in advance before the pre-downloaded program is operated in the intelligent terminal;

and according to the operation instruction of the pre-downloaded program, installing the pre-downloaded program through the installation package of the pre-downloaded program.

2. The method of claim 1, wherein the probability of the second program having an association with the first program is calculated based on a number of times in historical data that the first program triggered to download the second program while running, and/or a number of times in historical data that the first program triggered to cause the second program to be launched while running.

3. The method of claim 1, wherein the determining a pre-downloaded program from the associated programs comprises:

4. The method according to claim 3, wherein determining the associated program with the association probability of the first program meeting a preset condition as the pre-downloaded program comprises:

5. The method of claim 1, wherein the determining a pre-downloaded program from the associated programs comprises:

6. The method according to claim 4 or 5, wherein the pre-download score of the second program is calculated according to the number of times of cancelling the download of the second program installation package in the non-Wi-Fi network environment and the number of times of downloading the second program installation package in the Wi-Fi network environment in the history data.

7. The method of claim 4, wherein the composite score for the second program is calculated based on a pre-download score for the second program, an association probability with the first program, and a usage of the first program.

8. The method according to claim 7, wherein the usage of the first program comprises a frequency of use of the first program on the smart terminal and a time when the first program is not used on the smart terminal.

9. The method according to claim 1, wherein the second program is installed in the smart terminal, and the determining a pre-downloaded program from the associated programs includes:

10. The method according to claim 1, wherein the pre-downloading program in the smart terminal comprises:

sequencing the pre-downloading programs to obtain a downloading queue;

11. The method of claim 10, further comprising:

and providing a function of viewing or editing the download queue for the user.

12. The method according to claim 1, wherein before the pre-downloading of the pre-downloading program in the smart terminal, the method further comprises:

13. The method of claim 1, prior to said determining a pre-downloaded program from said associated programs, further comprising:

14. A pre-download apparatus, characterized in that the apparatus comprises a first determining unit, a second determining unit, a pre-download unit, and an installation unit:

the first determining unit is configured to determine a related program corresponding to a first program according to a pre-obtained related probability, where the pre-obtained related probability includes a probability that a second program is triggered to be used when the first program runs in historical data, the first program is installed in an intelligent terminal, and the related program includes a program having a related probability with the first program; the association probability of the second program with the first program is calculated according to the times of triggering the downloading of the second program when the first program runs in historical data;

the pre-downloading unit is used for pre-downloading the pre-downloaded program in the intelligent terminal, wherein the pre-downloading comprises the step of downloading an installation package of the pre-downloaded program in the intelligent terminal in advance before the pre-downloaded program is operated in the intelligent terminal;

and the installation unit is used for installing the pre-downloaded program through an installation package of the pre-downloaded program according to the operation instruction of the pre-downloaded program.

15. The apparatus of claim 14, wherein the probability of the second program having an association with the first program is calculated based on a number of times in historical data that the first program triggered to download the second program while running, and/or a number of times in historical data that the first program triggered to cause the second program to be launched while running.

16. The apparatus according to claim 14, wherein the second determining unit is further configured to determine, as the pre-downloaded program, an associated program whose associated probability with the first program meets a preset condition.

17. The apparatus according to claim 16, wherein the second determining unit is further configured to calculate a composite score based on the pre-download score and the associated probability, the pre-download score identifying a likelihood that the program is pre-downloaded in the historical data; and determining the associated program with the comprehensive score meeting the preset condition as the pre-downloading program.

18. The apparatus according to claim 14, wherein the second determining unit is further configured to determine, as the pre-downloaded program, an associated program with a pre-download score satisfying a preset condition, the pre-download score being used to identify a possibility that the program is pre-downloaded in the history data.

19. The apparatus according to claim 17 or 18, wherein the pre-download score of the second program is calculated according to a number of times that the download of the second program installation package is cancelled in a non-Wi-Fi network environment and a number of times that the download of the second program installation package is performed in a Wi-Fi network environment in the history data.

20. The apparatus of claim 17, wherein the composite score for the second program is calculated based on a pre-download score for the second program, a probability of association with the first program, and a usage of the first program.

21. The apparatus of claim 20, wherein the usage of the first program comprises a frequency of usage of the first program on the smart terminal and a time when the first program is not used on the smart terminal.

22. The apparatus according to claim 14, wherein the second program is installed in the smart terminal, and the second determining unit is further configured to determine the pre-downloaded program according to a program associated with the first program and a program associated with the second program.

23. The apparatus of claim 14, wherein the pre-download unit is further configured to sort the pre-download programs to obtain a download queue; and pre-downloading the pre-downloading program according to the downloading queue.

24. The apparatus of claim 23, further comprising a view editing unit:

25. The apparatus according to claim 14, further comprising a judging unit:

26. The apparatus of claim 14, further comprising a culling unit:

27. An apparatus for pre-downloading, comprising a memory, and one or more programs, wherein the one or more programs are stored in the memory, and wherein execution of the one or more programs by one or more processors comprises instructions for:

determining a related program corresponding to a first program according to a pre-acquired related probability, wherein the pre-acquired related probability comprises a probability of triggering a second program to use when the first program runs in historical data, the first program is installed in an intelligent terminal, and the related program comprises a program with the related probability of the first program;

determining a pre-downloaded program from the associated programs;

and pre-downloading the pre-downloaded program in the intelligent terminal, wherein the pre-downloading comprises downloading an installation package of the pre-downloaded program in the intelligent terminal in advance before the pre-downloaded program is operated in the intelligent terminal.