CN113127774A - Content pre-caching method and device for mobile application - Google Patents
Content pre-caching method and device for mobile application Download PDFInfo
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Abstract
The invention discloses a content pre-caching method and a content pre-caching device for mobile application, wherein the method comprises the following steps: acquiring and analyzing user travel information, and predicting a network unavailable time period corresponding to a target user according to an analysis result; screening content source type applications corresponding to the target user from all mobile applications installed in terminal equipment according to the acquired historical user behavior information; configuring a pre-caching strategy corresponding to the content source application according to the time interval between the network unavailable time interval and the current system time; and issuing the configured pre-caching strategy to the content source application. The method can automatically judge the possible network unavailable time period, thereby implementing the pre-caching strategy aiming at the content source application, achieving the purpose of automatic caching, needing no manual operation of a user and greatly improving the caching efficiency.
Description
Technical Field
The invention relates to the technical field of internet, in particular to a content pre-caching method and device for mobile application.
Background
At present, with the increasing popularization of the internet, more and more users are used to obtain information and contact friends through the internet. The internet has become an indispensable important content in people's daily life. However, in some special situations, such as taking an airplane or a high-speed rail, the mobile signal is affected, so that the user equipment is in a network unavailable state.
In order to deal with the above situation, most users select to download resource information such as audio, video, or files in the terminal device in advance, and accordingly browse the resource information downloaded in advance when the network is unavailable.
However, the inventor finds that the mode has at least the following defects in the process of implementing the invention: the user is required to download the resource information manually, the operation is complicated and time-consuming, and if the user forgets to download the resource information in advance, the user can lack the content available for browsing in the long-distance travel process.
Disclosure of Invention
In view of the above, the present invention is proposed to provide a content pre-caching method and apparatus for mobile applications that overcomes or at least partially solves the above mentioned problems.
According to an aspect of the present invention, there is provided a content pre-caching method for a mobile application, including:
acquiring and analyzing user travel information, and predicting a network unavailable time period corresponding to a target user according to an analysis result;
screening content source type applications corresponding to the target user from all mobile applications installed in terminal equipment according to the acquired historical user behavior information;
configuring a pre-caching strategy corresponding to the content source application according to the time interval between the network unavailable time interval and the current system time;
and issuing the configured pre-caching strategy to the content source application.
According to another aspect of the present invention, there is provided a content pre-caching apparatus for a mobile application, including:
the acquisition module is suitable for acquiring and analyzing the user travel information and predicting the network unavailable time period corresponding to the target user according to the analysis result;
the screening module is suitable for screening content source type applications corresponding to the target user from all mobile applications installed in the terminal equipment according to the acquired historical user behavior information;
the configuration module is suitable for configuring a pre-caching strategy corresponding to the content source application according to the time interval between the network unavailable time interval and the current system time;
and the issuing module is suitable for issuing the configured pre-caching strategy to the content source application.
According to still another aspect of the present invention, there is provided an electronic apparatus including: the system comprises a processor, a memory, a communication interface and a communication bus, wherein the processor, the memory and the communication interface complete mutual communication through the communication bus;
the memory is used for storing at least one executable instruction, and the executable instruction enables the processor to execute the operation corresponding to the content pre-caching method of the mobile application.
According to still another aspect of the present invention, a computer storage medium is provided, where at least one executable instruction is stored in the storage medium, and the executable instruction causes a processor to perform an operation corresponding to the content pre-caching method for the mobile application.
According to the content pre-caching method and device for the mobile application, the network unavailable time period corresponding to the target user can be automatically predicted according to the acquired user travel information; and the content source type application corresponding to the target user can be screened from each mobile application installed in the terminal equipment according to the acquired historical user behavior information, so that a pre-caching strategy corresponding to the content source type application is configured according to the period length of the network non-available period and the time interval between the network non-available period and the current system time. Therefore, the method can automatically judge the possible network unavailable time period, so that the pre-caching strategy is implemented aiming at the content source application, the purpose of automatic caching is achieved, manual operation of a user is not needed, and the caching efficiency is greatly improved.
The foregoing description is only an overview of the technical solutions of the present invention, and the embodiments of the present invention are described below in order to make the technical means of the present invention more clearly understood and to make the above and other objects, features, and advantages of the present invention more clearly understandable.
Drawings
Various other advantages and benefits will become apparent to those of ordinary skill in the art upon reading the following detailed description of the preferred embodiments. The drawings are only for purposes of illustrating the preferred embodiments and are not to be construed as limiting the invention. Also, like reference numerals are used to refer to like parts throughout the drawings. In the drawings:
FIG. 1 is a flow diagram illustrating a method for pre-caching content for a mobile application according to one embodiment of the present invention;
FIG. 2 is a flow chart illustrating a content pre-caching method for a mobile application according to another embodiment of the present invention;
fig. 3 is a schematic structural diagram of a content pre-caching apparatus for a mobile application according to another embodiment of the present invention;
FIG. 4 shows a schematic structural diagram of an electronic device according to the present invention;
FIG. 5 is a block diagram illustrating an exemplary implementation of a mobile content pre-caching system for anticipating user behavior;
fig. 6 shows a flowchart of a method for implementing mobile phone content pre-caching by predicting user behavior according to an example.
Detailed Description
Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. While exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art.
Fig. 1 is a flowchart illustrating a content pre-caching method for a mobile application according to an embodiment of the present invention, where the method includes:
step S110: and acquiring and analyzing the user travel information, and predicting the network unavailable time period corresponding to the target user according to the analysis result.
The user journey information can be a journey notification short message, journey memo information input by the user and the like. By analyzing the user travel information, various contents such as travel starting time, vehicle information and the like can be obtained, and accordingly, the network unavailable time period corresponding to the target user can be predicted according to the information. The network non-availability period mainly refers to a time period in which the network is completely unavailable or the network condition is poor due to the target user being in a region with poor network signal coverage.
Step S120: and screening content source applications corresponding to the target user from all mobile applications installed in the terminal equipment according to the acquired historical behavior information of the user.
The historical behavior information of the user includes operation behavior information triggered by the user for each mobile application, such as application starting, click browsing, application quitting, and the like, and may also include power on/off instruction information triggered by the user for the terminal device, and the like. In short, the specific connotation of the user historical behavior information is not limited, and all the information capable of reflecting the operation behavior of the user aiming at the terminal equipment is taken as the user historical behavior information.
Through analyzing the historical behavior information of the user, the applications of each mobile application installed on the terminal equipment, which are closely interacted with the user, can be determined, so that a plurality of content source applications are screened according to the interaction time, the interaction type, the interaction frequency and other factors of each mobile application.
Step S130: and configuring a pre-caching strategy corresponding to the content source application according to the period length of the network unavailable period and the time interval of the network unavailable period from the current system time.
Specifically, the period length of the network non-available period is used to determine the total amount of data to be cached included in the pre-caching policy, and in general, the longer the period length of the network non-available period is, the larger the total amount of data to be cached is; otherwise the shorter. In addition, the time interval of the network unavailable period from the current system time is used to determine the caching speed, i.e., the amount of caching per unit time, included in the pre-caching policy. Under the general condition, the shorter the time interval between the network non-available time period and the current system time is, the faster the cache speed is, and the larger the cache amount in unit time is; on the contrary, the longer the time interval between the network unavailable time period and the current system time is, the slower the cache speed is, and the smaller the cache amount in unit time is.
In addition to the total amount of cached data and the cache speed, the pre-caching policy may further include other various contents, for example, when the number of the content source class applications is multiple, the data amount to be cached for the application of each content source class application may be configured separately. Alternatively, the type of data to be cached, etc. may also be configured. In summary, the present invention does not limit the specific connotation of the precaching strategy.
Step S140: and issuing the configured pre-caching strategy to the content source application.
Specifically, the configured pre-caching policies are respectively issued to each content source application, so that each content source application executes pre-caching processing according to the corresponding pre-caching policy, so that a user can query pre-cached content in a network unavailable period.
Therefore, in the content pre-caching method for the mobile application, the network unavailable time period corresponding to the target user can be automatically predicted according to the acquired user travel information; and the content source type application corresponding to the target user can be screened from each mobile application installed in the terminal equipment according to the acquired historical user behavior information, so that a pre-caching strategy corresponding to the content source type application is configured according to the period length of the network non-available period and the time interval between the network non-available period and the current system time. Therefore, the method can automatically judge the possible network unavailable time period, so that the pre-caching strategy is implemented aiming at the content source application, the purpose of automatic caching is achieved, manual operation of a user is not needed, and the caching efficiency is greatly improved. .
Fig. 2 is a flowchart illustrating a content pre-caching method for a mobile application according to another embodiment of the present invention. As shown in fig. 2, the method includes:
step S210: acquiring a received travel class notification message; the travel class notification message is parsed to determine a travel start time, a travel end time, and/or vehicle information contained in the travel class notification message.
The journey notification message generally refers to various information related to the user journey, and may be, for example, a short message prompt message received after the user successfully orders a ticket, or journey memo information input by the user. When the travel type notification message is analyzed, the time field, the place field, the vehicle field and the like contained in the travel type notification message are mainly analyzed according to a preset travel template. For example, a plurality of short message prompt messages received after successful ticket booking can be stored in advance as samples, so that the format specification of the short message prompt messages is learned, and the positions of fields representing time, places and vehicles in a message file are analyzed, so that the fields can be extracted quickly. Accordingly, the trip start time, the trip end time, the vehicle information, and/or the like included in the trip type notification message can be determined according to the analysis result.
Step S220: a period start time, a period end time, and/or a period duration of a network unavailable period corresponding to the target user is predicted from the trip start time, the trip end time, and/or the vehicle information.
Specifically, the period start time, the period end time, and the period duration of the network unavailable period may be directly obtained from the trip start time and the trip end time. Alternatively, when only the travel start time has no travel end time, the travel end time may be predicted in combination with the kind of vehicle and the distance between the start address and the destination address. In summary, the present embodiment can determine information such as the period start time, the period end time, and the period duration of the network unavailable period in advance. The period of network unavailability may also be referred to as "off-network time", i.e., a period of network unavailability or poor network status.
Step S230: and screening content source applications corresponding to the target user from all mobile applications installed in the terminal equipment according to the acquired historical behavior information of the user.
The historical behavior information of the user includes operation behavior information triggered by the user for each mobile application, such as application starting, click browsing, application quitting, and the like, and may also include power on/off instruction information triggered by the user for the terminal device, and the like. In short, the specific connotation of the user historical behavior information is not limited, and all the information capable of reflecting the operation behavior of the user aiming at the terminal equipment is taken as the user historical behavior information.
In specific implementation, according to the acquired historical user behavior information, determining the starting frequency, the starting duration and/or the starting time period of each mobile application installed in the terminal equipment; and screening the content source type application corresponding to the target user according to the starting frequency, the starting time length and/or the starting time period of each mobile application. For example, applications with higher startup frequency and longer startup duration may be screened as content source type applications. Alternatively, the mobile application with the start time period matching the network unavailable time period may be used as the content source application according to the start time period of each mobile application. For example, assuming that the network unavailable period is X month X day 3 pm to 6 pm, correspondingly, the mobile applications whose starting time period belongs to 3 pm to 6 pm are screened as content source applications to meet the usage habits of the target users. In addition, the interactive behavior after each mobile application is started can be combined to judge whether the user tends to browse the network content through the mobile application, and if so, the mobile application is screened as the content source application. For example, assuming that the user is accustomed to acquiring network music through a music class mobile application, the music class mobile application is screened as a content source class application.
Step S240: and configuring a pre-caching strategy corresponding to the content source application according to the period length of the network unavailable period and the time interval of the network unavailable period from the current system time.
The pre-caching strategy is used for setting the data volume of the network content to be cached, the caching speed, the content type of the cached network content and the like.
In an optional implementation manner, the total amount of content data to be cached is determined according to the period length of the network unavailable period; and determining the data volume to be cached of the application corresponding to each content source type application contained in the pre-caching strategy according to the total content data volume to be cached and the starting time length of each content source type application. In general, the longer the period length of the network non-available period is, the larger the total amount of data to be cached is; otherwise the shorter. In specific implementation, it is considered that the user may abandon the content that is not interested at any time, and therefore, in order to ensure that the user still has the cached content available for browsing after abandoning the content for many times, the playing time length or the browsing time length of the total amount of the data to be cached should be greater than the time interval length of the network unavailable time interval. The playing time or the browsing time of the total amount of the data to be cached can be calculated according to the average playing speed or the average reading speed of the user determined by the historical behavior information of the user. Specifically, the play time or the browse time of the total amount of data to be cached may be set to a preset multiple (e.g., 3 times) of the period length of the network unavailable period. The value of the preset multiple can be determined according to the user abandon probability determined by the user historical behavior information. For example, through analyzing the historical behavior information of the user, the average number of times of abandoning reading in the reading process of the user is calculated, so that the abandoning reading probability of the user is obtained, and a higher preset multiple is set for the user with high abandoning reading probability; for users with low abandon probability, a smaller preset multiple can be set.
In addition, when the number of the content source applications is multiple, the data amount to be cached of the application corresponding to each content source application may be further set, and the sum of the data amount to be cached of the application of each content source application is equal to the total data amount to be cached. Specifically, determining a time length proportion between starting time lengths of the content source applications; and calculating the data volume to be cached of the application corresponding to each content source type application according to the total content data volume to be cached and the time length proportion between the starting time lengths of each content source type application. Correspondingly, the data volume to be cached by the application of the content source class application with longer starting time is larger. Or, the data volume proportion between the network content browsing volumes of the content source applications can be calculated; and calculating the data volume to be cached of the application corresponding to each content source type application according to the total content data volume to be cached and the data volume proportion between the network content browsing volumes of each content source type application. Correspondingly, the larger the browsing amount of the network content, the larger the application data amount to be cached of the content source application. By the method, the total amount of the data to be cached can be issued to each content source application according to a reasonable proportion. For example, assuming that the total amount of data to be cached is 1000M, the data volume ratio between the browsing volumes of the web contents or the time length ratio between the start time lengths of the three content source applications is 1: 1: 2, the data amount to be cached by the application allocated to the first two content source applications is 250M, respectively, and the data amount to be cached by the application allocated to the last content source application is 500M, respectively.
In yet another alternative implementation manner, the unit time caching amount of each content source application included in the pre-caching policy is set according to a time interval between a network unavailable period and the current system time. Specifically, the longer the time interval between the network unavailable period and the current system time is, the smaller the cache amount per unit time of each content source application included in the preset cache policy is set, that is, the slower the cache speed is; the shorter the time interval between the network unavailable period and the current system time is, the larger the unit time caching amount of each content source application included in the preset caching strategy is set, namely the higher the caching speed is.
In yet another alternative implementation, determining user preference information of a target user according to user historical behavior data; and setting cache type information corresponding to the content source application contained in the pre-cache strategy according to the user preference information. Specifically, according to the user historical behavior data, the category of the user preference information of each target user, such as preference literature, history, war, science fiction, and the like, can be determined, and correspondingly, according to the category of the user preference information of the target user, the cache type information corresponding to the content source application, which is included in the pre-cache policy, is set as the content matched with the category of the user preference information. For example, for a user with a preference for literature, the cache type information corresponding to the content source application is set as literature; and setting the cache type information corresponding to the content source application as science fiction aiming at the user with the preference of science fiction. By analyzing the historical behavior information of the user, the cached content can be ensured to meet the requirements of the user.
The above-described implementations may be used alone or in combination, and the invention is not limited in this respect.
Step S250: and issuing the configured pre-caching strategy to the content source application.
Specifically, the configured pre-caching policies are respectively issued to each content source application, so that each content source application executes pre-caching processing according to the corresponding pre-caching policy, so that a user can query pre-cached content in a network unavailable period.
For the convenience of understanding, implementation details in the present invention are described in detail below by taking a specific example as an example:
in recent years, with the rapid development of mobile internet, mobile phones have been released from the attribute of single communication tools, and provide users with rich entertainment services through wireless data networks and internet, especially with 4G networks and even 5G networks to be built on a large scale, the bandwidth of data traffic is multiplied, the high bandwidth also expands the range of content services, and data such as characters, images and the like can be smoothly pushed to the mobile phones of users through wireless data networks in real time, so that users can enjoy their favorite contents anytime and anywhere. However, in some specific environments, such as in the flight phase of an airplane, the high-speed driving phase of a high-speed rail, the partial section of an expressway or other scenes with weak or unreachable base station signals, the mobile phone of the user cannot be connected to a 3G/4G/5G high-speed network, and many contents depending on instant data push cannot be used in these scenes. At this time, in an airplane, a user generally sets a mobile phone to be in a flight mode, watches the content pre-cached in the mobile phone or an offline game, and waits for a connection to a high-speed network on a high-speed rail or a high-speed highway before continuing to acquire the content.
In order to solve the technical problem, a video pre-caching method is provided, specifically, urban public WIFI service coverage information is obtained, and an urban public WIFI service data set is obtained; acquiring current position information and mobile information of a user through a GPS (global positioning system), and determining the current network environment of the user through a mobile terminal; predicting the future position of the user according to the current position information and the movement information of the user, and predicting the future network environment of the user according to the urban public WIFI service coverage information; and adjusting the video preloading strategy of the user according to the current network environment and the predicted future network environment of the user, and repeating the steps until the user finishes video watching. It is a very embarrassing thing to have not moved data connection or connect the discontinuity and lead to unable through the cell-phone to obtain entertainment content at long journey in-process, and the content of carrying out the preloading in advance needs manual APP to support this function to set up in advance again, and the user still need use one's mind to select the resource, and is consuming time hard, seriously influences user's experience, sees from on the other hand, has also brought negative effects to telecom operator's network image.
In the video pre-caching method, the current position information and the movement information of the user need to be acquired to predict the future position of the user, and the future network environment of the user is predicted according to the urban public WIFI service coverage information. Firstly, WIFI is mainly distributed in cities and cannot be used in high-speed railways, expressways or flight modes, the safety of connection of public WIFI is poor, communication of a mobile phone is very easy to be stolen and intercepted by illegal molecules, even economic loss is caused, the stability and the coverage distance of the WIFI cannot be compared with a mobile communication network, and not only can serious potential safety hazards exist when the WIFI is automatically connected in preloading, but also the stability and the application effect cannot be effectively guaranteed.
In order to solve the above problems, the present example provides a method and a system for pre-judging user behavior to implement mobile phone content pre-caching, which calculate and pre-judge a time duration that a user may be separated from a mobile data network by monitoring a travel message (a travel message actively pushed by relevant software; a travel message set by the user) received by a mobile phone in real time. The method comprises the steps of calculating and prejudging the proportion and the duration of contents needing to be preloaded by a user during an off-network period through daily learning of the proportion and the duration of contents such as words, audios and videos read by the user, and respectively pushing a content preloading strategy (namely a pre-caching strategy) to a content source (namely a content source application).
Fig. 5 shows a structure diagram of a system for pre-judging user behaviors to implement mobile phone content pre-caching provided by this example, which includes an off-network pre-judging module, a user behavior learning module, a pre-caching policy calculation module, and a policy interaction interface pool. The following description is directed to the functions of the respective modules:
(1) off-grid prejudgment module
The off-network pre-judging module is connected with the pre-caching strategy calculating module and is mainly used for pre-judging the off-network condition of the mobile phone of the user in the future. The off-line pre-judging module can acquire the future off-line condition of the mobile phone of the user from the airplane riding information, the high-speed rail ticket purchasing information and the long-distance driving information inquired by navigation software, and the acquisition modes mainly comprise three modes:
short messages or related ticket purchasing software which are received by a real-time monitoring and analyzing mobile phone and related to the travel information push system messages to users through an operating system;
actively pushing the travel information to the off-network pre-judging module in an interface mode through ticket buying or navigation software;
and the user inputs the travel information set by the user through the information input interface of the off-network prejudging module.
Correspondingly, after receiving the travel information, the off-network pre-judging module pre-judges a time period (namely, a network unavailable time period) which is possibly in an off-network state according to keywords such as time, place, vehicles and the like.
If the off-network prejudgment module receives the travel information input by the user in 2 months and 13 days:
1. taking 15 days in 2 months for 15 minutes from Shanghai-Beijing 09:00-11: 10;
2.2 months and 20 days, the total time of 6 hours and 30 minutes from Beijing-Shanghai 06:36-12:40 to high-speed railway;
after receiving the information, the off-network anticipation module analyzes that the possible off-network time of the first piece of information is T1-2.25 h and the start date is D1-02/15, analyzes that the possible off-network time of the second piece of information is T2-6.5 h and the start date is D2-02/20.
And the off-network prejudgment module pushes the analyzed information to a pre-caching strategy calculation module.
(2) User behavior learning module
The user behavior learning module is connected with the pre-caching strategy calculation module, collects and analyzes the behavior habits of the user in reading, listening to audio and watching video at ordinary times mainly through the historical behavior information of the user, and continuously updates and corrects the behavior model of the user through learning so as to cache the really interesting content for the user.
The user behavior learning module records the information of content sources when the user uses the mobile phone daily, such as the frequency of frequently used application software, the duration of reading and appreciating audio and video, and the like.
For example, in a period such as 6 hours, the duration AT1 of a certain news reading software, the duration AT2 of an electronic reading software, the duration AT3 of an online music playing software, and the duration AT4 of an online video playing software are counted to be 0.5h, 0.2h, 0.25h, and 0.3 h. The ratio between the various content sources is AT1: AT2: AT3: AT 4. The proportion is used for determining the data amount to be cached of each content source type application.
And the user behavior learning module pushes the counted data to the pre-caching strategy calculating module.
(3) Pre-caching strategy calculation module
The precaching strategy calculation module is connected with the off-network prejudgment module, the user behavior learning module and the strategy interaction interface pool, and receives data pushed by the off-network prejudgment module and the user behavior learning module and calculates a precaching strategy.
For example, for the first piece of travel information, the starting date is D2, the possible off-network duration is T1, and the content with the duration of T1 × 4 needs to be cached, and the ratio of the content sources is AT1: AT2: AT3: AT 4. Wherein 4 is the preset multiple determined according to the user abandon probability determined by the user historical behavior information.
For the second trip information, the starting date is D2, the time duration of the trip is T2, and the content with the time duration of T2 × 2 needs to be cached, and the ratio of the content sources is AT1: AT2: AT3: AT 4. Wherein 2 is the preset multiple determined according to the user abandon probability determined by the user historical behavior information.
And the pre-caching strategy calculation module pushes the calculated strategy data to a strategy interaction interface pool.
(4) Policy interaction interface pool
The policy interaction interface pool is connected with the pre-caching policy calculation module and a plurality of content sources (the content sources are short for content source applications), and provides calculated pre-caching policies for the content sources respectively.
If the strategy interaction interface pool pushes a certain news reading software for the first piece of travel information, the strategy is as follows: before date D1, the content is cached AT1 × 4.
If the strategy interaction interface pool pushes a certain news reading software for the second trip information, the strategy is as follows: before date D2, the content is cached AT4 x 2.
And for the pre-caching strategy of the application software subdivision content by the user, the application software determines the pre-caching strategy according to the preference of the user.
Therefore, the flowchart of the method for pre-judging user behavior to implement mobile phone content pre-caching provided by this example is shown in fig. 6, and specifically includes the following steps:
step one, a user behavior learning module analyzes daily use habits of user mobile phone applications to obtain a user behavior model which is established and maintained;
step two, the off-grid pre-judgment module pre-judges the future off-grid condition through various acquired travel information;
step three, the precaching strategy calculation module calculates the precaching strategy for the information pushed by the module;
step four, the strategy interactive interface pool receives the strategies and respectively pushes the corresponding strategies to the content sources;
and step five, the content source receives and executes the corresponding pre-caching strategy.
In summary, the present example employs a method of obtaining trip information to predict future off-grid conditions. The technical scheme of the invention carries out pre-judgment on the off-network condition possibly occurring in the future of a user mobile phone, carries out modeling analysis on the daily use habit of the user by combining with user behavior learning, provides a strategy for caching the really interesting content of the user, and pushes the strategy to a content source through an interface, thereby greatly improving the actual experience of the user.
Fig. 3 is a schematic structural diagram illustrating a content pre-caching apparatus for a mobile application according to another embodiment of the present invention, and as shown in fig. 3, the apparatus includes:
the acquisition module 31 is adapted to acquire and analyze the user travel information, and predict a network unavailable time period corresponding to the target user according to an analysis result;
the screening module 32 is adapted to screen content source applications corresponding to the target user from mobile applications installed in the terminal device according to the acquired historical user behavior information;
a configuration module 33, adapted to configure a pre-caching policy corresponding to the content source application according to the time interval between the network unavailable time period and the current system time;
and the issuing module 34 is adapted to issue the configured pre-caching policy to the content source application.
Optionally, the obtaining module is specifically adapted to:
acquiring a received travel class notification message;
analyzing the travel class notification message to determine travel starting time, travel ending time and/or vehicle information contained in the travel class notification message;
predicting a period start time, a period end time, and/or a period duration of a network unavailable period corresponding to a target user from the trip start time, the trip end time, and/or vehicle information.
Optionally, the screening module is specifically adapted to:
determining the starting frequency, the starting duration and/or the starting time period of each mobile application installed on the terminal equipment according to the acquired historical behavior information of the user;
and screening the content source type application corresponding to the target user according to the starting frequency, the starting duration and/or the starting time period of each mobile application.
Optionally, the configuration module is specifically adapted to:
determining the total amount of content data to be cached according to the period length of the network unavailable period;
and determining the data volume to be cached of the application corresponding to each content source type application contained in the pre-caching strategy according to the total content data volume to be cached and the starting duration of each content source type application.
Optionally, the configuration module is specifically adapted to:
determining the time length proportion among the starting time lengths of the content source applications;
and calculating the data volume to be cached of the application corresponding to each content source type application according to the total content data volume to be cached and the time length proportion between the starting time lengths of each content source type application.
Optionally, the configuration module is specifically adapted to:
and setting the unit time caching amount of each content source application contained in the pre-caching strategy according to the time interval between the network unavailable time period and the current system time.
Optionally, the configuration module is specifically adapted to:
determining user preference information of a target user according to the user historical behavior data;
and setting cache type information corresponding to the content source type application contained in a pre-cache strategy according to the user preference information.
The specific structure and the working principle of each module may refer to the description of the corresponding step in the method embodiment, and are not described herein again.
The embodiment of the present application provides a non-volatile computer storage medium, where the computer storage medium stores at least one executable instruction, and the computer executable instruction may execute the content pre-caching method of the mobile application in any method embodiment described above.
Fig. 4 is a schematic structural diagram of an electronic device according to an embodiment of the present invention, and the specific embodiment of the present invention does not limit the specific implementation of the electronic device.
As shown in fig. 4, the electronic device may include: a processor (processor)402, a Communications Interface 404, a memory 406, and a Communications bus 408.
Wherein:
the processor 402, communication interface 404, and memory 406 communicate with each other via a communication bus 408.
A communication interface 404 for communicating with network elements of other devices, such as clients or other servers.
The processor 402 is configured to execute the program 410, and may specifically perform relevant steps in the above embodiments of the domain name resolution method.
In particular, program 410 may include program code comprising computer operating instructions.
The processor 402 may be a central processing unit CPU or an application Specific Integrated circuit asic or one or more Integrated circuits configured to implement embodiments of the present invention. The electronic device comprises one or more processors, which can be the same type of processor, such as one or more CPUs; or may be different types of processors such as one or more CPUs and one or more ASICs.
And a memory 406 for storing a program 410. Memory 406 may comprise high-speed RAM memory, and may also include non-volatile memory (non-volatile memory), such as at least one disk memory.
The program 410 may be specifically configured to cause the processor 402 to perform the operations in the above-described method embodiments.
The algorithms and displays presented herein are not inherently related to any particular computer, virtual machine, or other apparatus. Various general purpose systems may also be used with the teachings herein. The required structure for constructing such a system will be apparent from the description above. Moreover, the present invention is not directed to any particular programming language. It is appreciated that a variety of programming languages may be used to implement the teachings of the present invention as described herein, and any descriptions of specific languages are provided above to disclose the best mode of the invention.
In the description provided herein, numerous specific details are set forth. It is understood, however, that embodiments of the invention may be practiced without these specific details. In some instances, well-known methods, structures and techniques have not been shown in detail in order not to obscure an understanding of this description.
Similarly, it should be appreciated that in the foregoing description of exemplary embodiments of the invention, various features of the invention are sometimes grouped together in a single embodiment, figure, or description thereof for the purpose of streamlining the disclosure and aiding in the understanding of one or more of the various inventive aspects. However, the disclosed method should not be interpreted as reflecting an intention that: that the invention as claimed requires more features than are expressly recited in each claim. Rather, as the following claims reflect, inventive aspects lie in less than all features of a single foregoing disclosed embodiment. Thus, the claims following the detailed description are hereby expressly incorporated into this detailed description, with each claim standing on its own as a separate embodiment of this invention.
Those skilled in the art will appreciate that the modules in the device in an embodiment may be adaptively changed and disposed in one or more devices different from the embodiment. The modules or units or components of the embodiments may be combined into one module or unit or component, and furthermore they may be divided into a plurality of sub-modules or sub-units or sub-components. All of the features disclosed in this specification (including any accompanying claims, abstract and drawings), and all of the processes or elements of any method or apparatus so disclosed, may be combined in any combination, except combinations where at least some of such features and/or processes or elements are mutually exclusive. Each feature disclosed in this specification (including any accompanying claims, abstract and drawings) may be replaced by alternative features serving the same, equivalent or similar purpose, unless expressly stated otherwise.
Furthermore, those skilled in the art will appreciate that while some embodiments described herein include some features included in other embodiments, rather than other features, combinations of features of different embodiments are meant to be within the scope of the invention and form different embodiments. For example, in the following claims, any of the claimed embodiments may be used in any combination.
The various component embodiments of the invention may be implemented in hardware, or in software modules running on one or more processors, or in a combination thereof. Those skilled in the art will appreciate that a microprocessor or Digital Signal Processor (DSP) may be used in practice to implement some or all of the functionality of some or all of the components in an electronic device according to embodiments of the present invention. The present invention may also be embodied as apparatus or device programs (e.g., computer programs and computer program products) for performing a portion or all of the methods described herein. Such programs implementing the present invention may be stored on computer-readable media or may be in the form of one or more signals. Such a signal may be downloaded from an internet website or provided on a carrier signal or in any other form.
It should be noted that the above-mentioned embodiments illustrate rather than limit the invention, and that those skilled in the art will be able to design alternative embodiments without departing from the scope of the appended claims. In the claims, any reference signs placed between parentheses shall not be construed as limiting the claim. The word "comprising" does not exclude the presence of elements or steps not listed in a claim. The word "a" or "an" preceding an element does not exclude the presence of a plurality of such elements. The invention may be implemented by means of hardware comprising several distinct elements, and by means of a suitably programmed computer. In the unit claims enumerating several means, several of these means may be embodied by one and the same item of hardware. The usage of the words first, second and third, etcetera do not indicate any ordering. These words may be interpreted as names.
Claims (10)
1. A content pre-caching method for mobile applications comprises the following steps:
acquiring and analyzing user travel information, and predicting a network unavailable time period corresponding to a target user according to an analysis result;
screening content source type applications corresponding to the target user from all mobile applications installed in terminal equipment according to the acquired historical user behavior information;
configuring a pre-caching strategy corresponding to the content source application according to the time interval between the network unavailable time interval and the current system time;
and issuing the configured pre-caching strategy to the content source application.
2. The method of claim 1, wherein the obtaining and parsing user trip information, and predicting a network unavailable period corresponding to a target user according to a parsing result comprises:
acquiring a received travel class notification message;
analyzing the travel class notification message to determine travel starting time, travel ending time and/or vehicle information contained in the travel class notification message;
predicting a period start time, a period end time, and/or a period duration of a network unavailable period corresponding to a target user from the trip start time, the trip end time, and/or vehicle information.
3. The method according to claim 1, wherein the screening, according to the acquired historical user behavior information, content source applications corresponding to the target user from mobile applications installed in a terminal device includes:
determining the starting frequency, the starting duration and/or the starting time period of each mobile application installed on the terminal equipment according to the acquired historical behavior information of the user;
and screening the content source type application corresponding to the target user according to the starting frequency, the starting duration and/or the starting time period of each mobile application.
4. The method of claim 1, wherein the configuring the pre-caching policy corresponding to the content source class application according to the period length of the network unavailable period and the time interval of the network unavailable period from the current system time comprises:
determining the total amount of content data to be cached according to the period length of the network unavailable period;
and determining the data volume to be cached of the application corresponding to each content source type application contained in the pre-caching strategy according to the total content data volume to be cached and the starting duration of each content source type application.
5. The method according to claim 4, wherein the determining, according to the total amount of the content data to be cached and the start time of each content source class application, the amount of the application data to be cached corresponding to each content source class application comprises:
determining the time length proportion among the starting time lengths of the content source applications;
and calculating the data volume to be cached of the application corresponding to each content source type application according to the total content data volume to be cached and the time length proportion between the starting time lengths of each content source type application.
6. The method of claim 4, wherein the configuring the pre-caching policy corresponding to the content source class application according to the period length of the network unavailable period and the time interval of the network unavailable period from the current system time comprises:
and setting the unit time caching amount of each content source application contained in the pre-caching strategy according to the time interval between the network unavailable time period and the current system time.
7. The method of claim 1, wherein the configuring the pre-caching policy corresponding to the content source class application according to the period length of the network unavailable period and the time interval of the network unavailable period from the current system time comprises:
determining user preference information of a target user according to the user historical behavior data;
and setting cache type information corresponding to the content source type application contained in a pre-cache strategy according to the user preference information.
8. A content pre-caching apparatus for a mobile application, comprising:
the acquisition module is suitable for acquiring and analyzing the user travel information and predicting the network unavailable time period corresponding to the target user according to the analysis result;
the screening module is suitable for screening content source type applications corresponding to the target user from all mobile applications installed in the terminal equipment according to the acquired historical user behavior information;
the configuration module is suitable for configuring a pre-caching strategy corresponding to the content source application according to the time interval between the network unavailable time interval and the current system time;
and the issuing module is suitable for issuing the configured pre-caching strategy to the content source application.
9. An electronic device, comprising: the system comprises a processor, a memory, a communication interface and a communication bus, wherein the processor, the memory and the communication interface complete mutual communication through the communication bus;
the memory is used for storing at least one executable instruction, and the executable instruction causes the processor to execute the operation corresponding to the content pre-caching method of the mobile application as claimed in any one of claims 1 to 7.
10. A computer storage medium having at least one executable instruction stored therein, the executable instruction causing a processor to perform operations corresponding to the content pre-caching method for mobile applications as claimed in any one of claims 1 to 7.
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