TWI695261B - Data processing method, device and electronic equipment for page access - Google Patents

Abstract

The embodiments of the present specification disclose a data processing method, device and electronic equipment for page access. The method includes: collecting user behavior data and predicting user behavior trends, loading corresponding document resources from the server in advance according to the prediction results of the user behavior, constructing page documents, and caching to the user's local terminal (such as caching to memory) Body) storage. In this way, when the user clicks or enters the page, the page resource can be quickly read from the local terminal and displayed, so that the user can quickly enter the corresponding product page.

Description

Data processing method, device and electronic equipment for page access

The embodiment solution of the present specification belongs to the technical field of computer data processing, and particularly relates to a data processing method, device and electronic device for page access.

With the development of mobile Internet technology, the demand for mobile Internet services is also growing rapidly. The mobile terminal APP (application, application) quickly opens pages and responds to user operations. It is currently an important research direction for each APP application developer and operator to improve the user application experience.　　When the user clicks to enter the application page, usually need to download resources from the server according to the user's operation, and then jump to the target page to display the content information of the newly opened page. Due to user actions, cross-border access, etc., the network conditions of data transmission between the client and the server are unstable and uneven, often resulting in slow application page opening speed, or even the phenomenon that the page cannot be opened. At present, the existing methods for accelerating application opening pages are mainly optimizations at the network application level, such as optimizing DNS (advance resolution) and static resource warm-up. Various optimization schemes based on the network application layer have appeared, and this approach has gradually entered a bottleneck period, and it is more and more difficult to further increase the page access speed. Therefore, the industry needs an implementation solution that can more effectively increase the page access speed.

The purpose of the embodiments of this specification is to provide a data processing method, device and electronic device for page access, which can predict user behavior and download corresponding resources to the memory, so that the user can read the display page resources from the memory when accessing the page. Greatly improve the page access speed and improve the user experience. The page access data processing method, device, and electronic device provided in the embodiments of the present specification are implemented in the following manner: 　　 A page access data processing method, the method includes: 　　Monitoring and acquiring behavior data of user terminal operations; Predict the user's expected operation behavior according to the behavior data; 　　 determine the pre-triggered product business corresponding to the expected operation behavior; 　　 load the resource corresponding to the pre-triggered product business from the resource server, and construct a page resource for local storage; A corresponding page resource is read from the local storage based on the access request of the target page, and the information content of the target page is displayed based on the read page resource. The target page includes a page that triggers the pre-triggered product business jump . A page access data processing device, the device includes: a 　　 page access module for receiving an access request of a target page, judging whether the access request accesses a product business corresponding to predicted user behavior; 　　 fast content A fetch module is used to obtain a page document of the product business pre-cached in the memory when the access request accesses the product business corresponding to the predicted user behavior, the page document includes The operation behavior on the above is to load the corresponding product resources from the server in advance and construct the page document; 　　 resource replacement module, which is used to replace the page document with the display document of the target page; 　　 content display module, which is used to The presentation document displays the information content of the target page. A page access data processing device includes a processor and a memory for storing processor executable instructions. The processor implements the instructions to implement: 　　monitor and obtain behavior data of user terminal operations; 　　according to the behavior The data predicts the expected operation behavior of the user; 　　Determines the pre-triggered product business corresponding to the expected operation behavior; 　　Loads the resources corresponding to the pre-triggered product business from the resource server and constructs the page resource for local storage; 　　Based on the target page The access request reads the corresponding page resource from the local storage, and displays the information content of the target page based on the read page resource. The target page includes a page that triggers the pre-triggered product business jump. An electronic device includes at least one processor and a memory storing instructions executable by the processor. When the processor executes the instructions, it implements: 　　monitoring and acquiring behavior data of user terminal operations; 　　predicting user expectations based on the behavior data Operational behavior; 　　Determine the pre-triggered product business corresponding to the expected operational behavior; 　　Load the resource corresponding to the pre-triggered product business from the resource server and construct it as a page resource for local storage; 　　Based on the access request of the target page from the The corresponding page resource is read from the local storage, and the information content of the target page is displayed based on the read page resource. The target page includes a page that triggers the pre-triggered product service jump. A data processing method for page access, the method includes: 　　 receiving an access request of a target page, and judging whether the access request accesses a pre-triggered product service, and the pre-triggered product service includes prediction based on the user’s The product business determined by predicting the operation behavior; if it is, then obtaining a page document of the pre-triggered product business pre-cached in the memory, the page document including pre-loading resources corresponding to the pre-triggered product from the server, The resource builds the page document of the target page; 　　 completely replaces the page document of the current page with the page document of the target page; 　　 displays the information content of the target page based on the replaced page document. An embodiment of this specification provides a page access data processing method, device, and electronic device, which can collect user behavior data and predict user behavior trends, and load corresponding document resources from the server in advance according to the user behavior prediction results to construct pages Documents, and cache to the user's local terminal (such as cache to memory) for storage. In this way, when the user clicks or enters the page, the page resource can be quickly read from the local terminal and displayed, which can effectively solve the network request time from the user terminal to the server page resource when the user initiates the page access, so that the user can be very fast To enter the corresponding product page, greatly improving the user terminal page access experience.

In order to enable those skilled in the art to better understand the technical solutions in this specification, the technical solutions in the embodiments of this specification will be described clearly and completely in conjunction with the drawings in the embodiments of this specification. Obviously, the described The embodiments are only a part of the embodiments in this specification, but not all the embodiments. Based on one or more embodiments in this specification, all other embodiments obtained by a person of ordinary skill in the art without creative efforts shall fall within the protection scope of the embodiments of this specification. FIG. 1 is a schematic flowchart of an embodiment of a method for processing a page access data provided in this specification. Although this specification provides method operation steps or device structures as shown in the following embodiments or drawings, the method or device may include more or partly combined operation steps based on conventional or without creative labor Or modular unit. In steps or structures where there is no necessary causality in logic, the execution order of these steps or the module structure of the device is not limited to the execution order or module structure shown in the embodiments or drawings of this specification. When the method or module structure is applied to an actual device, server, or terminal product, the method or module structure shown in the embodiments or drawings may be executed sequentially or in parallel (for example, a parallel processor or Multi-threaded processing environment, even including distributed processing, server cluster implementation environment).　　 Most of the existing optimization solutions for business to improve the speed of accessing pages are optimizations at the network application level. The implementation provided in this specification can start from the service products accessed by the user, in particular, accelerate the access page of the express link level of the business logic. For example, the posture and angle of the terminal device held by the user, as well as the current finger position and gesture direction of the user can be obtained through the sensing device, and combined with the provided product services, the user may be expected to perform the next operation. Then, the resource information of the product business associated with the predicted user behavior can be downloaded from the server to the terminal device in advance, a page file corresponding to the product can be constructed, and cached in the memory of the local terminal device, such as the memory. In this way, when the user actually performs the predicted user behavior operation, the terminal device can load and obtain the page and other resource information from the memory. Because it is the reading of the local memory data of the terminal, compared with the normal request for resources from the server and the processing procedures such as network transmission and rendering, the user can see the corresponding product page in a very short time, which greatly improves The user's page access experience.　　The following uses a specific application scenario as an example to describe the implementation of this specification. In this application scenario, the local cache is memory. In other implementation scenarios, the local storage may also include storage in the network, or it may be resident from the local flash memory or the memory of the mobile device, etc. . The description of the following embodiments does not limit other expandable technical solutions based on this description. A specific embodiment is shown in FIG. 1. In an embodiment of a page access data processing method provided in this specification, the method may include: 　　S2: monitoring and acquiring behavior data of user terminal operations; 　　S4: according to The behavior data predicts the expected operation behavior of the user; 　　S6: Determine the pre-triggered product business corresponding to the expected operation behavior; 　　S8: Load the resources corresponding to the pre-triggered product business from the resource server, and construct a page resource for local Storage; 　　 S10: read the corresponding page resource from the local storage based on the access request of the target page, display the information content of the target page based on the read page resource, the target page includes triggering the pre-trigger product Business jump page.　　 The embodiment solution of this specification can be used in various types of terminal devices such as mobile terminals, smart phones, in-vehicle devices, smart wearable devices, personal computers, handheld devices, miniature or large-scale servers. These terminal devices may include applications used by one or more users, such as shopping applications, browsers, payment applications, and so on. In this embodiment, it is possible to monitor and obtain user operation information on the terminal device, terminal state information, etc., and then combine these data to design an algorithm to predict the end user's behavior, which is used to predict the user's next possible operation. For example, if it is detected that the user uses the search function on the terminal to search for the name of a recently popular movie, it can be predicted that the user may click the "ticket purchase" product business and enter the corresponding ticket purchase page to purchase the ticket, or click the "film review" product The business conducts a movie viewing review page to view the movie's word of mouth.　　 In this embodiment, the user's behavior can be predicted based on the user's current operation behavior and other information obtained by monitoring, and then the corresponding product resources can be downloaded from the server in advance to construct a page document of the product corresponding to the predicted user behavior. In a specific embodiment, the monitoring of user terminal operations includes using terminal sensor devices to monitor terminal space status and manipulation behaviors generated on the terminal. The sensor device may include, but is not limited to, a gyroscope, a spirit level, a compass (northern compass), a display screen, a distance sensor, a temperature sensor, a humidity sensor, and the like. You can monitor one or more of the data information to determine the status of the terminal and the user, and predict the operations that the user may perform.　　As mentioned above, when the user searches for a certain movie name, the predicted user behavior can be obtained by clicking "buy tickets" and clicking "film reviews". The terminal application can load the corresponding document resources from the server from the server according to the resource information of the "buy ticket" and "film review" products, and then parse and construct the page document corresponding to the "buy ticket" and "film review" product business. The page files of these product services can be stored in the memory of the terminal. In this way, when the user really clicks on the "buy ticket" or "film review" product business on the terminal, the terminal application can learn that the product business clicked by the user is the product business corresponding to the previously predicted user behavior, and its page document has been fast Taken in the terminal's memory. At this time, the terminal application can obtain the page documents of "ticket purchase" or "film review" from the local memory, and then replace these page documents with the documents of the current page. The terminal application may display the page document of "ticket purchase" or "film review" based on the replaced document. Users can also quickly view the content of the page information to enhance the user experience.　　 An embodiment of this specification provides a processing solution for predicting user behavior and downloading page resources of product services. Specifically, in another embodiment of the method described in this specification, the predicting the user's expected operation behavior based on the user behavior data includes: 　　 S40: determining the trend behavior of the current operation according to the behavior data, the behavior data including At least one piece of data information of the terminal's spatial position, terminal tilt angle, touch position on the touch screen, and sliding track on the touch screen detected by the sensor; 　　S42: Combine the provided product business data to calculate the trend The product business associated with the behavior, to trigger the associated product business as the predicted expected operational behavior; correspondingly, select at least one of the associated product business as the pre-triggered product business corresponding to the expected operational behavior . The data information related to the terminal may include information indicating the form of the terminal device used by the user in the physical space, such as display screen orientation information, landscape screen or upright screen, terminal tilt angle, and the like. The touch information related to the user may include information indicating the user's touch operation such as the position information of the user's contact on the terminal device, the direction of sliding, the position of the single-finger or two-finger or other multi-finger touch, the sensed or detected gesture, and the like. For example, in an example, the posture and angle information of the user holding the terminal device obtained through the gyroscope may be included; In this embodiment of the specification, the user's next possibility may be calculated based on the gyroscope, touch information, etc. in combination with the business data on the server side Conducted behavior. One side of the server can be used for big data storage, and can include business information of all or multiple products of terminal applications. In one example, under different application scenarios, the predicted user behavior can be mapped to different product businesses to establish the correspondence between the user behavior and the product business. For example, the current page is the homepage of an application, and the main page may include multiple product services. When it is detected that the user's handheld terminal device is tilted horizontally to the right and the user's finger moves toward the upper right of the screen, it can be predicted that the user may click on the product service A at the upper right corner of the current page. Then, at this time, the correspondence between the above-mentioned behavior of the user and the product service A in the current page can be established. If the current page is the page of the product business A, and it is also predicted that the user’s handheld terminal device is tilted to the right and the user’s finger moves to the upper right of the screen, it can be predicted that the user may click on the upper right corner of the product page A Product Business A of "View Event Details". In an example as described above, the trend behavior determined according to the user's touch, gyroscope, and other sensing devices may include "the user may want to click on the upper right corner of the current page", according to the current page's distribution or configuration information of product business , It can be determined that the trend behavior in the "handheld terminal device is tilted horizontally to the right and the user's finger moves to the upper right of the screen" and "the user may want to click on the upper right corner of the current page" trend behavior, the associated product business may include a One or more product businesses involved in the sliding trajectory of the trend behavior on the touch screen, or one or more product businesses within a predetermined range of the sliding trajectory of the trend behavior, as shown in FIG. 9, which is predicted based on monitoring data The schematic diagram of the product business related to the trend behavior of the user, the coordinate is the spatial coordinate of (x, y, z). In the application scenario shown in FIG. 9, according to the current gesture of the user, the sliding trajectory L1 in the upper right corner, and the sensor data of the terminal device tilting to the right, the trend behavior of the user’s current operation can be predetermined. The user may continue to move to the upper right next. The horn continues to move the finger, which may trigger product business A. The trajectory generated in this trend behavior is L2. Then according to the predicted user's trend behavior to get the related product business. In the example scenario of FIG. 9, the associated product business may include product business A, and in other implementations, it may also include multiple product businesses. For example, in addition to product business A, it may also include the predicted trajectory L2. Product business B, or may also include product business C within a certain range around L2. Then, one or more associated product services may be selected as pre-triggered product services, for example, product services A and B are selected as pre-triggered product services. In this way, the terminal device can first download related resources of the pages corresponding to the product services A and B from the resource server, and construct corresponding page documents for local storage. When the user actually triggers the product business A or B, the terminal device can quickly read and display the page content of the product business A or B directly from the local storage, such as memory, to achieve pre-loading before the user actually triggers the product page to open the corresponding page The corresponding page resources save the network request time for requesting resources only when the user triggers, so that the user can instantly see the corresponding product page, which greatly improves the user experience.　　In another embodiment, the server prediction may also pre-allocate different weight values for different product services based on the data information of the product services, such as playback traffic or clicked traffic after searching. The traffic data may include click traffic of the product or other historical data, and may be used to determine the weight value of the product business based on the traffic data. Specifically, in another embodiment of the method described in this specification, 　　 S60: When determining the pre-triggered product business, select the product business whose weight value reaches the preset threshold as the pre-triggered product business, and the weight value includes The access flow data of the product business data is the weight value assigned to the product business.　　 Specifically on the server side, the amount of access to a hot zone on the page can be used as a parameter to measure the weight. In a specific implementation manner, if the predicted trend behavior corresponds to the product business, if the single trend behavior corresponds to at least two product businesses, the product business whose weight value meets the screening requirements is selected as the pre-trigger product business. For example, in the above example, in the product business A, B, and C related to the trend behavior, the server big data analysis statistics can be found that on the current page, the access traffic of product business A is the highest, reaching 38% (also can be click The expression of frequency), product business B and C were 12% and 2%, respectively. The server can set the weight values of the product business A, B, and C in the current page according to the range flow data in advance. In one embodiment, the weight value may be valid only in the current page. For example, in other page scenarios that also include product service A, the weight value of product service A may change. For example, another product business D with a higher access volume than product business A appears on a sub-page. Although the total number of clicks on product business A is 2 million as on the main page, the sub-page The total number of clicks on the middle product business D is 2.5 million, the product business has the highest weight value on the main page, and the weight value on the sub-page is less than the product business D. Access flow data can be converted into corresponding weight values and assigned to the corresponding product business, such as product business A, B, C weight value can be 3. 8. 1. 2, 0. 2. When selecting a pre-trigger product, you can select a product business with a weight value greater than a preset threshold as the pre-trigger product business. If you select a product business with a weight value greater than 1, you can use product services A and B as pre-trigger product services.　　 The above-mentioned preset thresholds can be set according to actual application scenarios and screening requirements. In the above example, when the weight values of product services A and B are greater than the preset threshold, product services A and B can be used as corresponding product services to predict user behavior, and product services A and B can be downloaded from the server. The resource information is sent to the terminal, and the page documents of A and B are constructed. FIG. 2 is a schematic flowchart of predicting user behavior trends in an implementation example of the method provided in this specification. As shown in Figure 2, where 　　 1. 1 Gyroscope, you can use the mobile phone's gyro system to get the user's posture and angle of the device, so as to estimate the user's current operation direction, such as clicking on a product icon in the upper right corner or middle, or opening to adjust other pages, opening new Applications, etc. 1. 2 Touch information, you can monitor the user's current finger position and gesture orientation, including single-finger or multi-finger operation, touch position, sliding direction, and even obtain the user's gesture action position through light sensing. 1. 3 Server big data, the server assigns different weight values for different services according to the flow of related services. 1. 4 The user's behavior trend, combined with the operation direction given by the gyroscope in the client and the user's current gesture information, uses different weights based on the big data on the server side to calculate the user's current behavior trend matrix. The data of these behavior trend matrices can be transformed into corresponding user behaviors through related algorithms.　　The terminal device may include an algorithm for mapping user behavior to product services, as shown in FIG. 3, which is a schematic diagram of mapping predicted user behavior to corresponding pre-triggered product services in the embodiment of the present specification. According to the user's current behavior trend matrix, it can be mapped to different pre-triggered product services, so as to establish the correspondence between user behavior and product business.　　After obtaining the product business corresponding to the predicted user behavior, you can download the document resource from the server, parse and construct the page document, and then cache it into the memory. In a specific embodiment, loading the resources of the pre-triggered product service from the resource server and building it as a page resource for local storage may include: 　　Acquiring from the resource server according to the resource information of the pre-triggered product service Corresponding document information; 　　 Parse the document information to construct the page document of the pre-triggered product business; 　　 Cache the page document to the local memory. FIG. 4 is a schematic diagram of a processing flow of page preloading in an implementation example of the method provided in this specification. As shown in Figure 4 can include: 　　 3. 1 Product metadata. The product metadata defines basic information about the product and the corresponding resource link address.　　 3. 2 XMLHttpRequest, extensible hypertext transmission request, Xml is extensible markup language, Http is hypertext transmission protocol, Request request. The XMLHttpRequest object can partially update the web page without submitting the entire page to the server. In this embodiment, the corresponding document resources can be preloaded from the server side through the XMLHttpRequest interface according to the resource information of the product.　　 3. 3 DOMParser, parses the XML text and returns an XML Document object. In this embodiment, DOMParser can be used to parse the document information returned by the server to construct an HTML (HyperText Markup Language, Hypertext Markup Language) document corresponding to the product.　　 3. 4 Content cache 　　 Corresponding to the corresponding product business information, cache the constructed HTML document into the terminal memory. After the above process of predicting user behavior, determining the product business corresponding to the predicted user behavior, downloading the resource information of the product business, and constructing the page document cache in the memory, etc., when the user actually clicks on a new page, the terminal can learn from the memory Read the pre-cached page document, and then completely replace the current page document. In an embodiment of the specific processing, the reading of the corresponding page resource from the locally stored page resource may include: 　　After receiving the access request of the target page, the current page access interface of the page is used to change the current page Unify the address of the resource locator and notify the page rendering engine to access the target page; 　　 read the page document of the target page from the local storage; 　　 completely replace the page document of the current page with the page document of the target page .　　 This way users can instantly view the content of the page in a short time. In general, the history page access interface of the said page History operates the session history records that the browser used to access in the tab or frame. You can use the History API defined by HTML5 to change the current URL address and notify the program to access the product. A specific example of 　　 is shown in Figure 5, which can include: 　　 4. 1 The user enters a new page. The user actually clicks or enters the corresponding page. Instead of jumping directly to the URL through the browser, the History API defined by HTML5 can be used to change the current URL address and notify the program to access the product.　　 4. 2 Get content cache, according to the product notified in the program, get the corresponding HTML document that was predicted and cached in memory.　　 4. 3 Complete replacement, completely replace the current HTML document with the document in the previous step cache.　　 4. 4 Quickly experience the content, because pages and resources can be read and displayed by memory, saving the network request time of all resources, so that users can instantly see the corresponding product pages, greatly improving the user experience. An embodiment of this specification provides a page access data processing method that can collect user behavior data and predict user behavior trends, load corresponding document resources from the server in advance according to the user behavior prediction results, construct page documents, and cache To the user's local terminal (such as cache to memory) for storage. In this way, when the user clicks or enters the page, the page resource can be quickly read from the local terminal and displayed, which can effectively solve the network request time from the user terminal to the server page resource when the user initiates the page access, so that the user can be very fast To enter the corresponding product page, greatly improving the user terminal page access experience.　　Based on the data processing method for page access described above, an embodiment of the present specification further provides a page access data processing device. The device may include a system (including a decentralized system), software (applications), modules, components, servers, clients, quantum computers, etc. using the methods described in the embodiments of the present specification in combination with necessary implementation hardware installation. Based on the same innovative concept, the device in an embodiment provided in this specification is as described in the following embodiment. Since the implementation solution of the device to solve the problem is similar to the method, the implementation of the specific device in the embodiments of the present specification may refer to the implementation of the foregoing method, and the repetition is not repeated. As used below, the term “unit” or “module” can be a combination of software and/or hardware that can realize a predetermined function. Although the devices described in the following embodiments are preferably implemented in software, implementation of hardware or a combination of software and hardware is also possible and conceived. Specifically, FIG. 6 is a schematic diagram of a module structure of an embodiment of a page access data processing device provided in this specification. As shown in FIG. 6, the device may include: a 　　predicted data acquisition module 101, which may be used to monitor and Obtain behavior data of user terminal operations; 　　 behavior prediction module 102, which can be used to predict the user's expected operation behavior based on the behavior data; 　　 product mapping module 103, which can be used to determine the pre-triggered product corresponding to the expected operation behavior Business; 　　 Resource preloading module 104, which can be used to load resources corresponding to the pre-triggered product business from the resource server, and is constructed as a page resource for local storage; 　　Expected access processing module 105, which can be used based on the target page The access request reads the corresponding page resource from the local storage, and displays the information content of the target page based on the read page resource. The target page includes a page that triggers the pre-triggered product business jump. In another embodiment of the apparatus, monitoring the user terminal operation by the predictive data acquisition module includes using a terminal sensor device to monitor the terminal space status and the manipulation behavior generated on the terminal. FIG. 7 is a schematic structural diagram of an embodiment of the behavior prediction module 102 in the device provided by this specification. As shown in FIG. 7, in another embodiment of the device, the behavior prediction module includes: 　　The trend prediction unit 1021 may be used to determine the trend behavior of the current operation according to the behavior data, the behavior data includes the spatial position of the terminal detected by the sensor, the tilt angle of the terminal, the touch position on the touch screen, and the touch screen At least one piece of data information in the sliding trajectory on the; 　　anticipated operation prediction unit 1022, which can be used to calculate the product business associated with the trend behavior in combination with the provided product business data to trigger the associated product business as Predicted expected operation behavior; correspondingly, the product mapping module 103 selects at least one of the associated product services as a pre-triggered product business corresponding to the expected operation behavior. In another embodiment of the device, when determining the pre-triggered product business, the product mapping module 103 may select a product business whose weight value reaches a preset threshold as the pre-triggered product business; the weight value includes The access flow data of the product business data is the weight value assigned by the product business. In another embodiment of the device provided in this specification, the resource loading module 104 may include: a 　　 information loading unit, which may be used to obtain corresponding document information from a resource server according to the resource information of the pre-triggered product business　　 Resource parsing unit, which can be used to parse the document information and construct the page document of the pre-triggered product business; 　　 Cache unit, which can be used to cache the page document into local memory. In another embodiment of the device provided in this specification, the page access processing module 105 includes: a first processing unit, which can be used to receive the access request of the target page and use the page history page to store Take the interface to change the address of the uniform resource locator of the current page, and notify the page rendering engine to access the target page; 　　local resource reading unit, which can be used to read the page document of the target page from the local storage; 　　 replacement unit , Can be used to completely replace the page document of the current page with the page document of the target page. After the above process of predicting user behavior, determining the product business corresponding to the predicted user behavior, downloading the resource information of the product business, and constructing the page document cache in the memory, etc., when the user actually clicks on a new page, the terminal can learn from the memory Read the pre-cached page document, and then completely replace the current page document. In this way, the user can instantly view the content of the page in a short time. The data processing method for page access provided in the embodiments of this specification can be implemented by a processor executing corresponding program instructions in a computer, such as using the Windows operating system C++ language to implement on the PC side, or other systems such as Linux, Android, and iOS Implementation of corresponding application design language, etc., and implementation of processing logic based on quantum computer. Specifically, in an embodiment of a page access data processing apparatus provided in this specification, the apparatus may include a processor and a memory for storing processor-executable instructions. When the processor executes the instructions Implementation: 　　Monitor and obtain behavior data of user terminal operations; 　　Predict user's expected operational behavior based on the behavioral data; 　　Determine pre-triggered product business corresponding to the expected operational behavior; 　　Load the pre-triggered product business correspondence from the resource server Resources, and built into page resources for local storage; 　　 read the corresponding page resources from the local storage based on the access request of the target page, display the information content of the target page based on the read page resources, the target The page includes a page that triggers the pre-triggered product service jump.　　 It should be noted that, the device described above in the embodiments of the present specification may also include other implementations according to the description of the related method embodiments. The embodiments in this specification are described in a progressive manner. The same or similar parts between the embodiments can be referred to each other. Each embodiment focuses on the differences from other embodiments. In particular, for the hardware + program embodiment, since it is basically similar to the method embodiment, the description is relatively simple, and the relevant part can be referred to the description of the method embodiment.　　The above describes specific embodiments of the present specification. Other embodiments are within the scope of the attached patent application. In some cases, the actions or steps described in the scope of the patent application may be performed in a different order than in the embodiment and still achieve the desired result. Additionally, the processes depicted in the drawings do not necessarily require the particular order shown or sequential order to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous. The method or device embodiments provided in the embodiments of the present application may be executed in a mobile terminal, a computer terminal, a server, or a similar computing device. These computing devices generally include electronic devices with logical computing capabilities, which may include storage/reading-based Data processing methods and quantum computer processing logic. Taking the electronic device running on the side of the mobile terminal as an example, FIG. 8 is a block diagram of the hardware structure of the electronic device of the page access data processing method according to an embodiment of the present invention. As shown in FIG. 8, the electronic device 80 may include one or more (only one is shown in the figure) processor 802 (the processor 802 may include, but is not limited to, a processing device such as a microprocessor MCU or a programmable logic device FPGA, etc. ), a memory 804 for storing data, and a transmission module 806 for communication functions. A person of ordinary skill in the art may understand that the structure shown in FIG. 8 is merely an illustration, which does not limit the structure of the foregoing electronic device. For example, the electronic device 80 may further include more or fewer components than those shown in FIG. 8, and may also include other processing hardware, such as a GPU (Graphics Processing Unit, graphics processing unit). Or it has a different configuration from that shown in FIG. The memory 804 can be used to store software programs and modules of application software, such as program instructions/modules corresponding to the data processing method of page access in the embodiment of the present invention, and the processor 802 runs the software stored in the memory 804 Programs and modules to execute various functional applications and data processing, that is, data processing methods that implement the above-mentioned page access. The memory 804 may include a high-speed random memory, and may also include a non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory. In some examples, the memory 804 may further include memories disposed remotely with respect to the processor 8102, and these remote memories may be connected to the computer terminal 80 via a network. Examples of the aforementioned network include, but are not limited to, the Internet, intranet, regional network, mobile communication network, and combinations thereof.　　 Transmission module 806 is used to receive or send data via a network. The above specific example of the network may include a wireless network provided by a communication provider of the computer terminal 810. In one example, the transmission module 806 includes a network adapter (Network Interface Controller, NIC), which can be connected to other network devices through the base station to communicate with the Internet. In one example, the transmission module 806 may be a radio frequency (Radio Frequency, RF) module, which is used to communicate with the Internet in a wireless manner. The device or method described above can be used in electronic devices for page access in various terminal devices. It can predict user behavior based on the collected data, and then download the page documentation of products corresponding to the predicted user behavior, and cache the In the terminal memory. In this way, when the user really performs predicting user behavior, he can read the resource information of the page directly from the terminal memory, and then quickly display the page content, which can effectively solve the problem of slow transmission of web resources from the expression link level of business logic. Especially to solve cross-border, cross-network page access and network infrastructure and network environment inferior page access optimization problems. Specifically, an embodiment of the present specification provides an electronic device for page access. As shown in FIG. 8, it includes at least one processor and a memory that stores processor executable instructions. The processor implements the instructions to implement: 　　 monitoring And obtain behavior data of the user terminal operation; 　　 predict the user's expected operation behavior according to the behavior data; 　　 determine the pre-triggered product business corresponding to the expected operation behavior; 　　 load resources corresponding to the pre-triggered product business from the resource server, And construct a page resource for local storage; 　　 read the corresponding page resource from the local storage based on the access request of the target page, display the information content of the target page based on the read page resource, the target page includes a trigger The pre-triggered product business jump page.　　Computer-readable storage media may include physical devices for storing information, usually after digitizing the information and then storing it in a medium that uses electrical, magnetic or optical methods. The computer-readable storage medium described in this embodiment may include: devices that use electrical energy to store information, such as various types of memory, such as RAM, ROM, etc.; devices that use magnetic energy to store information, such as hard disks, floppy disks, Magnetic tape, magnetic core memory, bubble memory, USB disk; optical storage device such as CD or DVD. Of course, there are other readable storage media, such as quantum memory, graphene memory, and so on. Based on the above description, based on the innovative ideas of the technical solutions of the embodiments of this specification, another data processing method for page access is provided, as shown in FIG. 10, which is an implementation of a data processing method for page access described in this specification The flow diagram of the example may specifically include: 　　 S90: Receive the access request of the target page, determine whether the access request accesses the pre-triggered product service, and the pre-triggered product service includes a prediction operation based on predicting the user on the terminal The product business determined by the behavior; 　　 S92: If yes, obtain a pre-cached page document of the pre-triggered product business in the memory, the page document includes pre-loading resources corresponding to the pre-triggered product from the server, The resource builds the page document of the target page; 　　 S94: completely replace the page document of the current page with the page document of the target page; 　　 S96: display the information content of the target page based on the replaced page document. Of course, for those skilled in the art, various modifications and changes can be made to the embodiments of this specification. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principle of the embodiments of this specification should be included in the scope of patent application of the embodiments of this specification.　　It should be noted that the above description of the electronic device according to the method or apparatus or the embodiment of the electronic device may also include other implementation manners. For specific implementation manners, reference may be made to the description of the method embodiment, and details are not repeated herein. An embodiment of this specification provides a page access data processing method, device, and electronic device, which can collect user behavior data and predict user behavior trends, and load corresponding document resources from the server in advance according to the user behavior prediction results to construct pages Documents, and cached to the memory of the user terminal. In this way, when the user clicks or enters the page, the page resource can be read from the local memory and displayed, which can effectively solve the network request time from the user terminal to the server page resource when the user initiates the page access, so that the user can be very fast Enters the corresponding product page, which greatly improves the user terminal application experience. Although the content of the examples in this manual mentions the use of the History API to change the URL address, use the gyroscope to collect terminal data, set the weighting value for the product business, establish the correspondence, download the product text resources to construct the page document, complete replacement, etc. Descriptions of settings, acquisitions, interactions, calculations, judgments, etc. However, the embodiments of this specification are not limited to the conditions described in the industry communication standards, standard page data processing protocols, computer processing and database rules or the embodiments of this specification . Certain industry standards or implementations described in a custom manner or using examples with slight modifications can also achieve the same, equivalent, or similar, or predictable implementation effects of the above examples. Examples of data acquisition, storage, judgment, processing, etc. obtained after applying these modifications or deformations can still fall within the scope of optional implementations of this specification.　　In the 1990s, the improvement of a technology can be clearly distinguished from the improvement of hardware (for example, the improvement of the circuit structure of diodes, transistors, switches, etc.) or the improvement of software (the improvement of the process flow). However, with the development of technology, the improvement of many methods and processes can be regarded as a direct improvement of the hardware circuit structure. Designers almost always get the corresponding hardware circuit structure by programming the improved method flow into the hardware circuit. Therefore, it cannot be said that the improvement of a method and process cannot be achieved with hardware physical modules. For example, a programmable logic device (Programmable Logic Device, PLD) (such as a field programmable gate array (Field Programmable Gate Array, FPGA)) is such an integrated circuit, and its logic function is determined by the user programming the device. It is up to the designer to “integrate” a digital system on a PLD without having to ask a chip manufacturer to design and manufacture a dedicated integrated circuit chip. Moreover, nowadays, instead of manually manufacturing integrated circuit chips, this kind of programming is also mostly implemented with "logic compiler" software, which is similar to the software compiler used in program development and writing. The source code before compilation must also be written in a specific programming language, which is called hardware description language (Hardware Description Language, HDL), and HDL is not only one, but there are many, such as ABEL (Advanced Boolean Expression Language), AHDL (Altera Hardware Description Language), Confluence, CUPL (Cornell University Programming Language), HDCal, JHDL (Java Hardware Description Language), Lava, Lola, MyHDL, PALASM, RHDL (Ruby Hardware Description Language), etc., Currently the most commonly used are VHDL (Very-High-Speed Integrated Circuit Hardware Description Language) and Verilog. Those skilled in the art should also understand that it is only necessary to logically program the method flow in the above hardware description languages and program it into the integrated circuit, and the hardware circuit that implements the logic method flow can be easily obtained. The controller can be implemented in any suitable manner, for example, the controller can take, for example, a microprocessor or processor and a computer-readable program code (such as software or firmware) that can be executed by the (micro)processor Media, logic gates, switches, application specific integrated circuits (Application Specific Integrated Circuit, ASIC), programmable logic controllers and embedded microcontrollers. Examples of controllers include but are not limited to the following microcontrollers: ARC 625D, Atmel AT91SAM, Microchip PIC18F26K20 and Silicone Labs C8051F320, the memory controller can also be implemented as part of the control logic of the memory. Those skilled in the art also know that, in addition to implementing the controller in a purely computer-readable program code, the method can be logically programmed to make the controller controlled by logic gates, switches, dedicated integrated circuits, and programmable logic To achieve the same function in the form of a controller and embedded microcontroller. Therefore, such a controller can be regarded as a hardware component, and the device for implementing various functions included therein can also be regarded as a structure within the hardware component. Or even, the device for realizing various functions can be regarded as both a software module of the implementation method and a structure in the hardware component.　　 The system, device, module or unit explained in the above embodiments can be realized by a computer chip or entity, or by a product with a certain function. A typical implementation device is a computer. Specifically, the computer may be, for example, a personal computer, a laptop computer, an on-board human-machine interactive device, a cellular phone, a camera phone, a smart phone, a personal digital assistant, a media player, a navigation device, an email device, a game console, Tablet computer, wearable device, or any combination of these devices.　　Although the embodiments of the specification provide method operation steps as described in the embodiments or flowcharts, more or less operation steps may be included based on conventional or non-inventive means. The order of the steps listed in the embodiment is only one way among the order of execution of many steps, and does not represent a unique order of execution. When the actual device or terminal product is executed, it can be executed sequentially or in parallel according to the method shown in the embodiments or in the drawings (for example, a parallel processor or multi-threaded processing environment, or even a distributed data processing environment). The terms "include", "include" or any other variant thereof are intended to cover non-exclusive inclusion, so that a process, method, product, or device that includes a series of elements includes not only those elements, but also others that are not explicitly listed Elements, or also include elements inherent to such processes, methods, products, or equipment. Without more restrictions, it does not exclude that there are other identical or equivalent elements in the process, method, product or equipment including the elements.　　For the convenience of description, when describing the above devices, the functions are divided into various modules and described separately. Of course, when implementing the embodiments of this specification, the functions of each module can be implemented in the same software or multiple hardware and/or hardware, or the modules that achieve the same function can be combined by multiple submodules or subunits Realize etc. The device embodiments described above are only schematic. For example, the division of the units is only a division of logical functions. In actual implementation, there may be other division methods, for example, multiple units or components may be combined or integrated into Another system, or some features can be ignored, or not implemented. In addition, the displayed or discussed mutual coupling or direct coupling or communication connection may be indirect coupling or communication connection through some interfaces, devices or units, and may be electrical, mechanical or other forms. Those skilled in the art also know that, in addition to implementing the controller in a purely computer-readable program code, the method can be logically programmed to make the controller controlled by logic gates, switches, dedicated integrated circuits, and programmable logic To achieve the same function in the form of a controller and embedded microcontroller. Therefore, such a controller can be regarded as a hardware component, and the device for implementing various functions included therein can also be regarded as a structure within the hardware component. Or even, the device for realizing various functions can be regarded as both a software module of the implementation method and a structure in the hardware component. The present invention is described with reference to flowcharts and/or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each flow and/or block in the flowchart and/or block diagram and a combination of the flow and/or block in the flowchart and/or block diagram can be implemented by computer program instructions. These computer program instructions can be provided to the processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing device to produce a machine so that the instructions executed by the processor of the computer or other programmable data processing device Generate means for implementing the functions specified in one block or multiple blocks of a flowchart or a flow and/or a block diagram. These computer program instructions can also be stored in a computer-readable memory that can guide a computer or other programmable data processing device to work in a specific manner, so that the instructions stored in the computer-readable memory produce a manufactured product including an instruction device The instruction device implements the functions specified in one block or multiple blocks in one flow or multiple processes in the flowchart and/or one block in the block diagram. These computer program instructions can also be loaded onto a computer or other programmable data processing device, so that a series of operating steps are performed on the computer or other programmable device to generate computer-implemented processing, and thus on the computer or other programmable device The instructions executed on provide steps for implementing the functions specified in one block or multiple blocks of the flowchart one flow or multiple flows and/or block diagrams.　　In a typical configuration, a computing device includes one or more processors (CPUs), input/output ports, a network interface, and memory. Memory may include non-permanent memory, random access memory (RAM) and/or non-volatile memory in computer-readable media, such as read only memory (ROM) or flash memory (flash) RAM). Memory is an example of computer-readable media.　　Computer-readable media, including permanent and non-permanent, removable and non-removable media, can be stored by any method or technology. The information can be computer readable instructions, data structures, modules of programs, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), and other types of random access memory (RAM) , Read-only memory (ROM), electrically erasable and programmable read-only memory (EEPROM), flash memory or other memory technologies, read-only disc read-only memory (CD-ROM), digital multifunction Optical discs (DVD) or other optical storage, magnetic cassette tapes, magnetic tape magnetic disk storage or other magnetic storage devices or any other non-transmission media can be used to store information that can be accessed by computing devices. According to the definition in this article, computer-readable media does not include temporary computer-readable media (transitory media), such as modulated data signals and carrier waves.　　 Those skilled in the art should understand that the embodiments of this specification can be provided as methods, systems, or computer program products. Therefore, the embodiments of the present specification may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, the embodiments of the present specification may use computer program products implemented on one or more computer usable storage media (including but not limited to disk memory, CD-ROM, optical memory, etc.) containing computer usable program code form.　　 Embodiments of this specification can be described in the general context of computer-executable instructions executed by a computer, such as program modules. Generally, program modules include routines, programs, objects, components, data structures, etc. that perform specific tasks or implement specific abstract data types. The embodiments of the present specification may also be practiced in distributed computing environments in which remote processing devices connected through a communication network perform tasks. In a distributed computing environment, program modules can be located in local and remote computer storage media including storage devices.　　 The embodiments in this specification are described in a progressive manner. The same or similar parts between the embodiments can be referred to each other, and each embodiment focuses on the differences from other embodiments. In particular, for the system embodiment, since it is basically similar to the method embodiment, the description is relatively simple, and the relevant part can be referred to the description of the method embodiment. In the description of this specification, the description referring to the terms "one embodiment", "some embodiments", "examples", "specific examples", or "some examples" means specific features described in conjunction with the embodiment or examples , Structure, material, or characteristics are included in at least one embodiment or example of the embodiments of this specification. In this specification, the schematic representation of the above terms does not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples. In addition, without contradicting each other, those skilled in the art may combine and combine different embodiments or examples and features of the different embodiments or examples described in this specification.　　The above is only an example of the embodiment of the present specification, and is not intended to limit the embodiment of the present specification. For those skilled in the art, various modifications and changes can be made to the embodiments of this specification. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principle of the embodiments of this specification should be included in the scope of patent application of the embodiments of this specification.

S2, S4, S6, S8, S10‧‧‧Step S40, S42‧‧‧Step A, B, C, D‧‧‧Product business L1‧‧‧Sliding track L2‧‧‧Trace S60‧‧‧Step 1.1‧ ‧‧Gyroscope 1.2‧‧‧Touch information 1.3‧‧‧Server big data 1.4‧‧‧User behavior trends 3.1‧‧‧Product metadata 3.2‧‧‧XMLHttpRequest3.3‧‧‧DOMParser3.4‧‧‧Quick content Fetch 4.1‧‧‧User enters new page 4.2‧‧‧Get content cache 4.3‧‧‧Complete replacement 4.4‧‧‧Quick experience content 101‧‧‧Predictive data acquisition module 102‧‧‧Behavior prediction module 103‧‧ ‧Product mapping module 104‧‧‧Resource preload module 105‧‧‧Expected access processing module 1021‧‧‧Behavior trend prediction unit 1022‧‧‧Expected operation prediction unit 80‧‧‧Electronic equipment 802‧‧‧ Processor 804‧‧‧Memory 806‧‧‧Transmission module S90, S92, S94, S96‧‧‧ Step

In order to more clearly explain the embodiments of the present specification or the technical solutions in the prior art, the drawings required in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings in the following description are only For some embodiments described in the specification, for those of ordinary skill in the art, without paying any creative labor, other drawings can also be obtained according to these drawings. FIG. 1 is a schematic flowchart of an embodiment of a method for processing page access data described in this specification; FIG. 2 is a schematic flowchart of a method for predicting user behavior trends in an implementation example of the method provided in this specification; 　　 FIG. 3 is an implementation scheme of this specification Schematic diagram of the user behavior predicted in the mapping to the corresponding product business; 　　 FIG. 4 is a schematic diagram of a process flow of page preloading in an implementation example of the method provided in this specification; Schematic diagram of the processing flow; 　　 FIG. 6 is a schematic diagram of a module structure of an embodiment of a page access data processing apparatus provided in this specification; 　　 FIG. 7 is a schematic diagram of a module structure of an embodiment of the behavior prediction module in the apparatus provided in this specification　　 FIG. 8 is a structural schematic diagram of an embodiment of the electronic device provided in this specification; 　　 FIG. 9 is a product business schematic diagram related to a user’s trend behavior predicted by monitoring data in this specification; 　　 FIG. 10 is a description of this specification A schematic flowchart of an embodiment of a data processing method for page access.

Claims (11)

A data processing method for page access, the method includes: monitoring and acquiring behavior data of user terminal operations, which includes using terminal sensor devices to monitor terminal space status and manipulation behavior generated on the terminal; according to the behavior The data predicts the expected operation behavior of the user, which includes: determining the trend behavior of the current operation according to the behavior data, the behavior data includes the spatial position of the terminal detected by the sensor, the terminal tilt angle, the touch position on the touch screen, At least one piece of data information in the sliding track on the touch screen; in combination with the provided product business data, calculate the product business associated with the trend behavior to trigger the associated product business as the predicted expected operating behavior; Determining a pre-triggered product business corresponding to the expected operation behavior, wherein, correspondingly, at least one of the associated product services is selected as the pre-triggered product business corresponding to the expected operation behavior; loading the resource server from the resource server Pre-trigger the resources corresponding to the product business, and construct a page resource for local storage; read the corresponding page resource from the local storage based on the access request of the target page, and display the information of the target page based on the read page resource Content, the target page includes a page that triggers the pre-triggered product business jump. A data processing method for page access as described in item 1 of the patent application scope, wherein, when determining the pre-triggered product business, the product business whose weight value reaches the preset threshold is selected as the pre-triggered product business, and the weight The value includes the weight value assigned to the product business based on the access flow data of the product business data. A data processing method for page access as described in item 1 of the scope of patent application, wherein the loading of the resources of the pre-triggered product business from the resource server and the construction of page resources for local storage include: The resource information of the pre-triggered product business obtains the corresponding document information from the resource server; parses the document information to construct the page document of the pre-triggered product business; and caches the page document into the local memory. A page access data processing method as described in item 1 of the patent application scope, wherein the reading of the corresponding page resource from the locally stored page resource includes: after receiving the access request of the target page, Use the page's historical page access interface to change the address of the current page's uniform resource locator, and notify the page rendering engine to access the target page; read the page document of the target page from the local storage; transfer the page of the current page The document is completely replaced with the page document of the target page. A data processing device for page access, the device includes: a predictive data acquisition module for monitoring and acquiring behavior data of user terminal operations, which further utilizes the terminal's sensor equipment to monitor the terminal space status and generate on the terminal Control behavior; behavior prediction module for predicting the user's expected operation behavior based on the behavior data, the behavior prediction module includes: a behavior trend prediction unit for determining the trend behavior of the current operation based on the behavior data, The behavior data includes at least one piece of data information of the spatial position of the terminal detected by the sensor, the tilt angle of the terminal, the touch position on the touch screen, and the sliding trajectory on the touch screen; the expected operation prediction unit for combining Provide the product business data to calculate the product business associated with the trend behavior to trigger the associated product business as the predicted expected operating behavior; the product mapping module is used to determine the corresponding to the expected operating behavior Pre-triggered product business, wherein, correspondingly, the product mapping module selects at least one of the associated product business as a pre-triggered product business corresponding to the expected operation behavior; a resource pre-loading module is used to retrieve resources The server loads the resources corresponding to the pre-triggered product business and constructs the page resources for local storage; the expected access processing module is used to read the corresponding page resources from the local storage based on the access request of the target page , Displaying the information content of the target page based on the read page resources, the target page including a page that triggers the pre-triggered product business jump. A page access data office as described in item 5 of the patent application scope Management device, wherein, when determining the pre-triggered product business, the product mapping module selects the product business whose weight value reaches the preset threshold as the pre-triggered product business; the weight value includes access according to the product business data Flow data is the weight value assigned to the product business. A page access data processing device as described in item 5 of the patent application scope, wherein the resource loading module includes: an information loading unit configured to obtain a correspondence from a resource server according to the resource information of the pre-triggered product business Document information; resource parsing unit, used to parse the document information to construct the page document of the pre-triggered product business; cache unit, used to cache the page document into local memory. A page access data processing device as described in item 5 of the patent application scope, wherein the page access processing module includes: a first processing unit, configured to use the page after receiving the access request of the target page The historical page access interface changes the address of the uniform resource locator of the current page and notifies the page rendering engine to access the target page; the local resource reading unit is used to read the page document of the target page from the local storage A replacement unit, used to completely replace the page document of the current page with the page document of the target page. Data processing device for page access, including processor and A memory for storing instructions executable by the processor, which is implemented when the processor executes the instructions: monitoring and acquiring behavior data of the user terminal operation, which includes monitoring the terminal space status using the sensor device of the terminal and generating Manipulation behavior; predicting the user's expected operation behavior based on the behavior data, including: determining the trend behavior of the current operation according to the behavior data, the behavior data including the spatial position of the terminal, the terminal tilt angle detected by the sensor, At least one piece of data information in the touch position on the touch screen and the sliding track on the touch screen; in combination with the provided product business data, calculate the product business associated with the trend behavior to trigger the associated product business As a predicted expected operation behavior; determining a pre-triggered product business corresponding to the expected operation behavior, wherein, correspondingly, at least one of the associated product services is selected as the pre-triggered product business corresponding to the expected operation behavior; Load the resources corresponding to the pre-triggered product business from the resource server, and construct a page resource for local storage; read the corresponding page resource from the local storage based on the access request of the target page, based on the read page resource The information content of the target page is displayed, and the target page includes a page that triggers the pre-triggered product service jump. An electronic device includes at least one processor and a storage processor A memory that executes instructions. When the processor executes the instructions, it implements: monitoring and acquiring behavior data of user terminal operations, which includes using terminal sensor devices to monitor terminal space status and manipulation behaviors generated on the terminal; The behavior data predicts the user's expected operation behavior, which includes: determining the trend behavior of the current operation according to the behavior data, the behavior data including the spatial position of the terminal detected by the sensor, the terminal tilt angle, and the touch screen At least one piece of data information in the touched position and the sliding track on the touch screen; in combination with the provided product business data, calculate the product business associated with the trend behavior to trigger the associated product business as a predicted expectation Operation behavior; determining the pre-triggered product business corresponding to the expected operation behavior, wherein, correspondingly, at least one of the associated product business is selected as the pre-triggered product business corresponding to the expected operation behavior; from the resource server Load resources corresponding to the pre-triggered product business, and construct a page resource for local storage; read the corresponding page resource from the local storage based on the access request of the target page, and display the target based on the read page resource For the information content of the page, the target page includes a page that triggers the pre-triggered product business jump. A data processing method for page access, the method includes: receiving an access request of a target page, and determining whether the access request is stored Fetch the pre-triggered product business, the pre-triggered product business includes a product business determined based on predicting the user's expected operation behavior on the terminal; if so, obtain a pre-cached page document of the pre-triggered product business in the memory, The page document includes pre-loading resources corresponding to the pre-triggered product from the server, and the resource constructs the page document of the target page; completely replacing the page document of the current page with the page document of the target page; based on the replaced page The document shows the information content of the target page, wherein the expected operation behavior is predicted by the following steps: monitoring and acquiring user terminal operation behavior data, which includes using the terminal’s sensor device to monitor the terminal’s spatial status and generating on the terminal Control behavior; determine the trend behavior of the current operation according to the behavior data, the behavior data includes the spatial position of the terminal detected by the sensor, the terminal tilt angle, the touch position on the touch screen, and the sliding track on the touch screen At least one piece of data information; in combination with the provided product business data, calculate the product business associated with the trend behavior to trigger the associated product business as the predicted expected operating behavior; determine the expected operating behavior Corresponding to the pre-triggered product business, wherein, correspondingly, at least one of the associated product business is selected as the pre-triggered product business corresponding to the expected operation behavior.

Images