CN112948720B - Interaction optimization method and device based on user behaviors and computer equipment - Google Patents
Interaction optimization method and device based on user behaviors and computer equipment Download PDFInfo
- Publication number
- CN112948720B CN112948720B CN201911175570.3A CN201911175570A CN112948720B CN 112948720 B CN112948720 B CN 112948720B CN 201911175570 A CN201911175570 A CN 201911175570A CN 112948720 B CN112948720 B CN 112948720B
- Authority
- CN
- China
- Prior art keywords
- user
- sequence
- optimized
- target
- user operation
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
- 238000000034 method Methods 0.000 title claims abstract description 44
- 238000005457 optimization Methods 0.000 title claims abstract description 24
- 230000006399 behavior Effects 0.000 title claims abstract description 23
- 230000003993 interaction Effects 0.000 title claims abstract description 22
- 238000012163 sequencing technique Methods 0.000 claims abstract description 10
- 230000004044 response Effects 0.000 claims description 13
- 230000000007 visual effect Effects 0.000 claims description 8
- 238000004590 computer program Methods 0.000 claims description 5
- 230000002452 interceptive effect Effects 0.000 description 4
- 230000001960 triggered effect Effects 0.000 description 3
- 238000010586 diagram Methods 0.000 description 2
- 230000003287 optical effect Effects 0.000 description 2
- 230000003068 static effect Effects 0.000 description 2
- 238000010561 standard procedure Methods 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/95—Retrieval from the web
- G06F16/955—Retrieval from the web using information identifiers, e.g. uniform resource locators [URL]
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/95—Retrieval from the web
- G06F16/957—Browsing optimisation, e.g. caching or content distillation
- G06F16/9577—Optimising the visualization of content, e.g. distillation of HTML documents
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/95—Retrieval from the web
- G06F16/958—Organisation or management of web site content, e.g. publishing, maintaining pages or automatic linking
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F8/00—Arrangements for software engineering
- G06F8/30—Creation or generation of source code
- G06F8/38—Creation or generation of source code for implementing user interfaces
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F9/00—Arrangements for program control, e.g. control units
- G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
- G06F9/44—Arrangements for executing specific programs
- G06F9/451—Execution arrangements for user interfaces
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Databases & Information Systems (AREA)
- General Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Software Systems (AREA)
- Data Mining & Analysis (AREA)
- Human Computer Interaction (AREA)
- User Interface Of Digital Computer (AREA)
Abstract
The invention discloses an interaction optimization method based on user behaviors, which comprises the following steps: recording a plurality of user operation information of a target user account on a target application program; according to the operation triggering time in each piece of user operation information, sequencing the operation object elements in each piece of user operation information according to the time sequence to obtain the sequence of the user operation elements; acquiring a preset standard operation element sequence; comparing each operation object element in the user operation element sequence with each operation object element in the standard operation element sequence one by one to determine a first difference operation object element which is different from the standard operation element sequence from the user operation element sequence; storing an operation object element positioned before the difference operation object element in the sequence of the user operation elements as an element to be optimized into a first element database; the invention can pointedly optimize the application program, thereby improving the user experience.
Description
Technical Field
The invention relates to the technical field of internet, in particular to an interaction optimization method and device based on user behaviors, computer equipment and a readable storage medium.
Background
Nowadays, intelligent terminal devices such as computers and smart phones become an indispensable tool in life of people, and various APPs (Application programs) applied to the intelligent terminal devices are rapidly developed accordingly; for any application program developer, the application program which is expected to be developed by the developer is easy to use by the user and accords with the use habit of the user; at present, whether an application program is favored by a user or not can be judged by counting indexes such as the user downloading amount, the user use rate, the user loss rate and the like, but a specific reason for causing the user loss cannot be accurately determined; therefore, how to accurately and quickly determine the elements and pages to be optimized in the application program so as to optimize the application program becomes a technical problem to be solved.
Disclosure of Invention
The invention aims to provide an interaction optimization method, device, computer equipment and readable storage medium based on user behaviors, which are used for solving the technical problem that elements and pages which need to be optimized in an application program cannot be accurately and rapidly determined in the prior art.
According to one aspect of the invention, an interaction optimization method based on user behaviors is provided, which specifically comprises the following steps:
recording a plurality of user operation information of a target user account on a target application program; wherein the user operation information includes: operation triggering time and operation object elements;
According to the operation triggering time in each piece of user operation information, sequencing the operation object elements in each piece of user operation information according to the time sequence to obtain the sequence of the user operation elements;
acquiring a preset standard operation element sequence; wherein the standard operation element sequence comprises a plurality of operation object elements which are arranged in sequence;
comparing each operation object element in the user operation element sequence with each operation object element in the standard operation element sequence one by one to determine a first difference operation object element which is different from the standard operation element sequence from the user operation element sequence;
And storing the operation object elements positioned before the difference operation object elements in the sequence of the user operation elements as elements to be optimized into a first element database for optimizing a target application program.
Optionally, the acquiring a preset standard operation element sequence specifically includes:
Determining a service type corresponding to the user operation element sequence according to the type of the operation object element contained in the user operation element sequence;
And acquiring a standard operation element sequence corresponding to the service type.
Optionally, the method further comprises:
Receiving an element query message sent by a third party;
Counting the occurrence times of each element to be optimized in the first element database, and sending the target element to be optimized, of which the counted occurrence times are larger than a preset threshold value, to the third party.
Optionally, the method further comprises:
And acquiring Uniform Resource Locator (URL) information and a page screenshot of a page browsed last by the target user account before exiting the target application program, and storing the URL information and the page screenshot in a page database in an associated manner.
Optionally, the method further comprises:
receiving a page query message sent by a third party;
and counting the occurrence times of each URL information in the page database, and sending the target URL information with the counted occurrence times larger than a preset threshold value and all page shots corresponding to the target URL information to the third party.
Optionally, the user operation information further includes: an operation response time;
The method further comprises the steps of:
and judging whether the operation response time in the user operation information is larger than a preset time threshold or not according to one piece of user operation information, and if so, storing the operation object elements in the user operation information into a second element database.
Optionally, the method further comprises:
Receiving an element query message sent by a third party;
counting the occurrence times of each element to be optimized in the first element database;
Judging whether each target element to be optimized exists in the second element database according to the target element to be optimized, wherein the occurrence number of each target element to be optimized is larger than a preset threshold; if yes, the target element to be optimized is used as a code element to be optimized to be sent to the third party; if not, the target element to be optimized is sent to the third party as the visual element to be optimized.
According to another aspect of the present invention, there is also provided an interaction optimizing apparatus based on user behavior, specifically including the following components:
The first acquisition module is used for recording a plurality of user operation information of the target user account on the target application program; wherein the user operation information includes: operation triggering time and operation object elements;
The sequencing module is used for sequencing the operation object elements in each piece of user operation information according to the operation triggering time in each piece of user operation information and the time sequence to obtain the sequence of the user operation elements;
The second acquisition module is used for acquiring a preset standard operation element sequence; wherein the standard operation element sequence comprises a plurality of operation object elements which are arranged in sequence;
the comparison module is used for comparing each operation object element in the user operation element sequence with each operation object element in the standard operation element sequence one by one so as to determine a first difference operation object element which is different from the standard operation element sequence from the user operation element sequence;
And the processing module is used for storing the operation object elements positioned before the difference operation object elements in the sequence of the user operation elements as elements to be optimized into a first element database so as to be used for optimizing a target application program.
According to another aspect of the present invention, there is also provided a computer apparatus, including: the system comprises a memory, a processor and a computer program stored in the memory and capable of running on the processor, wherein the processor realizes the steps of the interaction optimization method based on the user behaviors when executing the program.
According to another aspect of the present invention, there is also provided a computer readable storage medium having stored thereon a computer program which when executed by a processor implements the steps of the above-described user behavior based interaction optimization method.
According to the interactive optimization method, the interactive optimization device, the computer equipment and the readable storage medium based on the user behaviors, the problem elements and the problem pages which cause the user to exit the application program are determined according to the user operation information of each user in the target application program, so that targeted optimization suggestions can be provided for developers of the application program, the developers of the application program can be helped to perform targeted optimization on the problem elements and the problem pages in the application program, the user experience is improved, and the user loss is prevented.
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 designate like parts throughout the figures. In the drawings:
FIG. 1 is a schematic flow chart of an alternative method for optimizing interactions based on user behavior according to the first embodiment;
FIG. 2 is a schematic diagram of an alternative program module of an interaction optimizing device based on user behavior according to the second embodiment;
fig. 3 is a schematic diagram of an alternative hardware architecture of a computer device according to the third embodiment.
Detailed Description
The present invention will be described in further detail with reference to the drawings and examples, in order to make the objects, technical solutions and advantages of the present invention more apparent. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Example 1
The embodiment of the invention provides an interaction optimization method based on user behaviors, which is applied to a server, as shown in fig. 1, and specifically comprises the following steps:
step S101: recording a plurality of user operation information of a target user account on a target application program; wherein the user operation information includes: operation trigger time and operation object element.
The user account is a registered account used for representing a mobile phone number, a MAC address or an application program of a user, and the user operation information is used for recording, for example, on the application program of the user: clicking and inputting operation information.
Specifically, before step S101, the method further includes:
and setting buried points on each page of the target application program so as to record user operation information through the set buried points when a user operates on the page.
In this embodiment, the buried point may be a data buried point or a code buried point, and of course, may be a buried point type commonly used in the art, which is not particularly limited herein. Through the set buried point, when the user browses the page and performs interactive operation (for example, clicks a button), the time of triggering operation by the user and the object element of the user operation are recorded to form user operation information, and the user operation information is sent to the server. Preferably, the operation target element may be an element that can be operated by a user, such as a button, a tab, or the like provided in the page. Since the target user account can trigger a plurality of interactive operations in each page of the target application program; thus, the server may receive a plurality of user operation information during the use of the target application by the target user account.
Step S102: and sequencing the operation object elements in each piece of user operation information according to the operation triggering time in each piece of user operation information and the time sequence to obtain the sequence of the user operation elements.
In this embodiment, when the target user account exits the target application, according to all the user operation information acquired during the process of using the target application by the target user account, the operation object elements in each piece of user operation information are ordered according to the operation triggering time in each piece of user operation information, so as to obtain the sequence of the user operation elements. Wherein the user operation element sequence includes a plurality of operation object elements arranged in sequence.
Step S103: acquiring a preset standard operation element sequence; wherein the standard operation element sequence includes a plurality of operation object elements arranged in sequence.
Specifically, the acquiring the preset standard operation element sequence specifically includes:
step A1: determining a service type corresponding to the user operation element sequence according to the type of the operation object element contained in the user operation element sequence;
step A2: and acquiring a standard operation element sequence corresponding to the service type.
In this embodiment, the standard operation element sequence is a preset sequence of all elements required to be operated by the user to complete the service operation of a certain service type; different business operations have different operation logics, so that corresponding standard operation element sequences are respectively set for different businesses in a target application program; for example, when the target application is a shopping application, there may be a purchase service and a return service; in the purchase business, the standard operation element sequence is as follows: the user clicks the enter shopping cart button, the user clicks the confirm purchase button, and the user clicks the pay order button; in the return business, the standard operation element sequence is that the user clicks the return application button, the user selects the product to be returned, and the user clicks the return determination button. Because different service types have different service logics, in the embodiment, corresponding standard operation element sequences are set for the different service types; each standard operation element sequence contains an element sequence of user operations required for performing the corresponding business operation.
In addition, since specific types of elements are included in the standard operation element sequences of different service types, for example, a payment order button in the shopping service and an apply for return button in the return service; accordingly, the service type corresponding to the sequence of user operation elements can be determined by identifying whether the sequence of user operation elements contains elements of a specific type.
Step S104: and comparing each operation object element in the user operation element sequence with each operation object element in the standard operation element sequence one by one so as to determine a first difference operation object element which is different from the standard operation element sequence from the user operation element sequence.
For example, the standard sequence of operation elements is: element 1, element 2, element 3, element 4; the sequence of the user operation elements is element 1, element 2, element 3 and element 5; the user operates the fourth element in the element order: element 5, which is a difference operation object element.
Step S105: and storing the operation object elements positioned before the difference operation object elements in the sequence of the user operation elements as elements to be optimized into a first element database for optimizing a target application program.
As can be seen from the above example, the standard sequence is that the element 4 is triggered after the element 3, but the actual sequence is that the element 5 is triggered after the element 3 is triggered, so that the sequence of the operation elements caused by the element 3 is changed, that is, the element 3 is a problem element to be optimized.
It should be noted that, when developing the target application program, the developer defaults to the standard operation flow of the user on the target application program; however, the standard operation procedure is not necessarily suitable for all users because the operation habits of each user are different; therefore, the real operation flow of the user when using the target application program can come in and go out from the default standard operation flow of the developer; in this embodiment, through the steps S101 to S105, the actual operation flow of different users when using the target application program can be counted, and by comparing the actual operation flow with the standard operation flow, the problem element that causes the user operation failure or the user exit in the target application program can be determined.
Specifically, the method further comprises the following steps:
step B1: receiving an element query message sent by a third party;
Step B2: counting the occurrence times of each element to be optimized in the first element database, and sending the target element to be optimized, of which the counted occurrence times are larger than a preset threshold value, to the third party.
The third party is other terminal equipment for sending query messages to a server for executing the interaction optimization method based on the user behaviors; wherein, the query message may be: an element query message, or a page query message.
It should be noted that, according to the steps S101 to S105, elements to be optimized generated by different users in the process of using the target application program may be determined; that is, a plurality of elements to be optimized determined according to user operation information of a plurality of users are stored in the element database.
Further, the method further comprises:
And acquiring URL information and a page screenshot of a page browsed by the target user account before exiting the target application program, and storing the URL information and the page screenshot in a page database in an associated mode.
Still further, the method further comprises:
step C1: receiving a page query message sent by a third party;
step C2: and counting the occurrence times of each URL information in the page database, and sending the target URL information with the counted occurrence times larger than a preset threshold value and all page shots corresponding to the target URL information to the third party.
In this embodiment, besides determining the element to be optimized according to the user operation information, page information that is browsed last before each user exits the target application program is collected, and according to the multiple page information of multiple users, a page that causes the user to exit the target application program most frequently is determined as the page to be optimized. In order to facilitate the developer to more intuitively optimize the page layout, each screenshot of the page to be optimized is also sent to a third party, so that the third party can perform UI visual optimization according to the screenshot.
Further, in this embodiment, the user operation information further includes: an operation response time;
The method further comprises the steps of:
Judging whether operation response time in the user operation information is larger than a preset time threshold or not according to one piece of user operation information, and if so, storing operation object elements in the user operation information into a second element database;
Receiving an element query message sent by a third party;
counting the occurrence times of each element to be optimized in the first element database;
Judging whether each target element to be optimized exists in the second element database according to the target element to be optimized, wherein the occurrence number of each target element to be optimized is larger than a preset threshold; if yes, the target element to be optimized is used as a code element to be optimized to be sent to the third party; if not, the target element to be optimized is sent to the third party as the visual element to be optimized.
In this embodiment, the response time of the user operation may also be obtained through the buried point, and if the response time of the user operation is greater than the preset time, it is indicated that the element code of the corresponding operation object element has a problem; therefore, when the target element to be optimized is determined from the first element database, judging whether the determined target element to be optimized exists in the second element database; if yes, the fact that the target element to be optimized is inconvenient to use by a user due to overlong operation response time is indicated, and a third party needs to optimize codes of the operation object element; if not, the target element to be optimized is described to be inconvenient for the user to use because of the visual problem, and a third party needs to perform visual layout optimization on the operation object element.
Example two
The embodiment of the invention provides an interaction optimization device based on user behaviors, which is applied to a server, as shown in fig. 2, and specifically comprises the following components:
A first obtaining module 201, configured to record a plurality of user operation information of a target user account on a target application program; wherein the user operation information includes: operation triggering time and operation object elements;
The sorting module 202 is configured to sort the operation object elements in each piece of user operation information according to the operation trigger time in each piece of user operation information and the time sequence, so as to obtain a user operation element sequence;
a second obtaining module 203, configured to obtain a preset standard operation element sequence; wherein the standard operation element sequence comprises a plurality of operation object elements which are arranged in sequence;
A comparison module 204, configured to compare each operation object element in the user operation element sequence with each operation object element in the standard operation element sequence one by one, so as to determine a first difference operation object element that is different from the standard operation element sequence from the user operation element sequence;
The processing module 205 is configured to store an operation object element located before the difference operation object element in the sequence of user operation elements as an element to be optimized in a first element database, so as to be used for optimizing a target application program.
Specifically, the sorting module 202 is configured to:
Determining a service type corresponding to the user operation element sequence according to the type of the operation object element contained in the user operation element sequence; and acquiring a standard operation element sequence corresponding to the service type.
Further, the device further comprises:
The first statistics module is used for receiving element query messages sent by a third party; counting the occurrence times of each element to be optimized in the first element database, and sending the target element to be optimized, of which the counted occurrence times are larger than a preset threshold value, to the third party.
Further, the first obtaining module 201 is further configured to:
And acquiring Uniform Resource Locator (URL) information and a page screenshot of a page browsed last by the target user account before exiting the target application program, and storing the URL information and the page screenshot in a page database in an associated manner.
The apparatus further comprises:
The second statistical module is used for receiving the page query message sent by the third party; and counting the occurrence times of each URL information in the page database, and sending the target URL information with the counted occurrence times larger than a preset threshold value and all page shots corresponding to the target URL information to the third party.
Still further, the user operation information further includes: an operation response time;
the apparatus further comprises:
the judging module is used for judging whether the operation response time in the user operation information is larger than a preset time threshold value according to one piece of user operation information, and if so, storing the operation object elements in the user operation information into a second element database;
The third statistical module is used for receiving element query information sent by a third party; counting the occurrence times of each element to be optimized in the first element database; judging whether each target element to be optimized exists in the second element database according to the target element to be optimized, wherein the occurrence number of each target element to be optimized is larger than a preset threshold; if yes, the target element to be optimized is used as a code element to be optimized to be sent to the third party; if not, the target element to be optimized is sent to the third party as the visual element to be optimized.
Example III
The present embodiment also provides a computer device, such as a smart phone, a tablet computer, a notebook computer, a desktop computer, a rack-mounted server, a blade server, a tower server, or a rack-mounted server (including an independent server or a server cluster formed by a plurality of servers) that can execute a program. As shown in fig. 3, the computer device 30 of the present embodiment includes at least, but is not limited to: a memory 301, a processor 302, which may be communicatively connected to each other via a system bus. It is noted that FIG. 3 only shows a computer device 30 having components 301-302, but it should be understood that not all of the illustrated components are required to be implemented, and that more or fewer components may alternatively be implemented.
In this embodiment, the memory 301 (i.e., readable storage medium) includes flash memory, a hard disk, a multimedia card, a card memory (e.g., SD or DX memory, etc.), a Random Access Memory (RAM), a Static Random Access Memory (SRAM), a read-only memory (ROM), an electrically erasable programmable read-only memory (EEPROM), a programmable read-only memory (PROM), a magnetic memory, a magnetic disk, an optical disk, and the like. In some embodiments, the memory 301 may be an internal storage unit of the computer device 30, such as a hard disk or memory of the computer device 30. In other embodiments, the memory 301 may also be an external storage device of the computer device 30, such as a plug-in hard disk provided on the computer device 30, a smart memory card (SMART MEDIA CARD, SMC), a Secure Digital (SD) card, a flash memory card (FLASH CARD), or the like. Of course, the memory 301 may also include both internal storage units of the computer device 30 and external storage devices. In this embodiment, the memory 301 is typically used to store an operating system and various types of application software installed on the computer device 30, such as program codes of the interaction optimizing apparatus based on user behavior in the second embodiment. In addition, the memory 301 can also be used to temporarily store various types of data that have been output or are to be output.
Processor 302 may be a central processing unit (Central Processing Unit, CPU), controller, microcontroller, microprocessor, or other data processing chip in some embodiments. The processor 302 is generally used to control the overall operation of the computer device 30.
Specifically, in this embodiment, the processor 302 is configured to execute a program of the interaction optimization method based on user behavior stored in the processor 302, where the program of the interaction optimization method based on user behavior is executed to implement the following steps:
recording a plurality of user operation information of a target user account on a target application program; wherein the user operation information includes: operation triggering time and operation object elements;
According to the operation triggering time in each piece of user operation information, sequencing the operation object elements in each piece of user operation information according to the time sequence to obtain the sequence of the user operation elements;
acquiring a preset standard operation element sequence; wherein the standard operation element sequence comprises a plurality of operation object elements which are arranged in sequence;
comparing each operation object element in the user operation element sequence with each operation object element in the standard operation element sequence one by one to determine a first difference operation object element which is different from the standard operation element sequence from the user operation element sequence;
And storing the operation object elements positioned before the difference operation object elements in the sequence of the user operation elements as elements to be optimized into a first element database for optimizing a target application program.
The specific embodiment of the above method steps may refer to the first embodiment, and this embodiment is not repeated here.
Example IV
The present embodiment also provides a computer readable storage medium, such as a flash memory, a hard disk, a multimedia card, a card memory (e.g., SD or DX memory, etc.), a Random Access Memory (RAM), a Static Random Access Memory (SRAM), a read-only memory (ROM), an electrically erasable programmable read-only memory (EEPROM), a programmable read-only memory (PROM), a magnetic memory, a magnetic disk, an optical disk, a server, an App application store, etc., having stored thereon a computer program that when executed by a processor performs the following method steps:
recording a plurality of user operation information of a target user account on a target application program; wherein the user operation information includes: operation triggering time and operation object elements;
According to the operation triggering time in each piece of user operation information, sequencing the operation object elements in each piece of user operation information according to the time sequence to obtain the sequence of the user operation elements;
acquiring a preset standard operation element sequence; wherein the standard operation element sequence comprises a plurality of operation object elements which are arranged in sequence;
comparing each operation object element in the user operation element sequence with each operation object element in the standard operation element sequence one by one to determine a first difference operation object element which is different from the standard operation element sequence from the user operation element sequence;
And storing the operation object elements positioned before the difference operation object elements in the sequence of the user operation elements as elements to be optimized into a first element database for optimizing a target application program.
The specific embodiment of the above method steps may refer to the first embodiment, and this embodiment is not repeated here.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
The foregoing embodiment numbers of the present invention are merely for the purpose of description, and do not represent the advantages or disadvantages of the embodiments.
From the above description of the embodiments, it will be clear to those skilled in the art that the above-described embodiment method may be implemented by means of software plus a necessary general hardware platform, but of course may also be implemented by means of hardware, but in many cases the former is a preferred embodiment.
The foregoing description is only of the preferred embodiments of the present invention, and is not intended to limit the scope of the invention, but rather is intended to cover any equivalents of the structures or equivalent processes disclosed herein or in the alternative, which may be employed directly or indirectly in other related arts.
Claims (7)
1. An interaction optimization method based on user behaviors, which is characterized by comprising the following steps:
recording a plurality of user operation information of a target user account on a target application program; wherein the user operation information includes: operation trigger time, operation response time and operation object element;
According to the operation triggering time in each piece of user operation information, sequencing the operation object elements in each piece of user operation information according to the time sequence to obtain the sequence of the user operation elements;
acquiring a preset standard operation element sequence; wherein the standard operation element sequence comprises a plurality of operation object elements which are arranged in sequence;
comparing each operation object element in the user operation element sequence with each operation object element in the standard operation element sequence one by one to determine a first difference operation object element which is different from the standard operation element sequence from the user operation element sequence;
Storing an operation object element positioned before the difference operation object element in the sequence of the user operation elements as an element to be optimized into a first element database for optimizing a target application program;
Judging whether operation response time in the user operation information is larger than a preset time threshold or not according to one piece of user operation information, and if so, storing operation object elements in the user operation information into a second element database;
Receiving an element query message sent by a third party;
counting the occurrence times of each element to be optimized in the first element database;
Judging whether each target element to be optimized exists in the second element database according to the target element to be optimized, wherein the occurrence number of each target element to be optimized is larger than a preset threshold; if yes, the target element to be optimized is used as a code element to be optimized to be sent to the third party; if not, the target element to be optimized is sent to the third party as the visual element to be optimized.
2. The interaction optimization method based on user behavior according to claim 1, wherein the obtaining a preset standard operation element sequence specifically comprises:
Determining a service type corresponding to the user operation element sequence according to the type of the operation object element contained in the user operation element sequence;
And acquiring a standard operation element sequence corresponding to the service type.
3. The user behavior based interaction optimization method of claim 1, further comprising:
And acquiring Uniform Resource Locator (URL) information and a page screenshot of a page browsed last by the target user account before exiting the target application program, and storing the URL information and the page screenshot in a page database in an associated manner.
4. A method of interaction optimization based on user behavior according to claim 3, characterized in that the method further comprises:
receiving a page query message sent by a third party;
and counting the occurrence times of each URL information in the page database, and sending the target URL information with the counted occurrence times larger than a preset threshold value and all page shots corresponding to the target URL information to the third party.
5. An interaction optimization device based on user behavior, the device comprising:
the first acquisition module is used for recording a plurality of user operation information of the target user account on the target application program; wherein the user operation information includes: operation trigger time, operation response time and operation object element;
The sequencing module is used for sequencing the operation object elements in each piece of user operation information according to the operation triggering time in each piece of user operation information and the time sequence to obtain the sequence of the user operation elements;
The second acquisition module is used for acquiring a preset standard operation element sequence; wherein the standard operation element sequence comprises a plurality of operation object elements which are arranged in sequence;
the comparison module is used for comparing each operation object element in the user operation element sequence with each operation object element in the standard operation element sequence one by one so as to determine a first difference operation object element which is different from the standard operation element sequence from the user operation element sequence;
The processing module is used for storing the operation object elements positioned before the difference operation object elements in the sequence of the user operation elements as elements to be optimized into a first element database so as to be used for optimizing a target application program;
the judging module is used for judging whether the operation response time in the user operation information is larger than a preset time threshold value according to one piece of user operation information, and if so, storing the operation object elements in the user operation information into a second element database;
The third statistical module is used for receiving element query information sent by a third party; counting the occurrence times of each element to be optimized in the first element database; judging whether each target element to be optimized exists in the second element database according to the target element to be optimized, wherein the occurrence number of each target element to be optimized is larger than a preset threshold; if yes, the target element to be optimized is used as a code element to be optimized to be sent to the third party; if not, the target element to be optimized is sent to the third party as the visual element to be optimized.
6. A computer device, the computer device comprising: memory, a processor and a computer program stored on the memory and executable on the processor, characterized in that the processor implements the steps of the method according to any one of claims 1 to 4 when the program is executed by the processor.
7. A computer readable storage medium, on which a computer program is stored, characterized in that the program, when being executed by a processor, implements the steps of the method according to any one of claims 1 to 4.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911175570.3A CN112948720B (en) | 2019-11-26 | 2019-11-26 | Interaction optimization method and device based on user behaviors and computer equipment |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911175570.3A CN112948720B (en) | 2019-11-26 | 2019-11-26 | Interaction optimization method and device based on user behaviors and computer equipment |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN112948720A CN112948720A (en) | 2021-06-11 |
| CN112948720B true CN112948720B (en) | 2024-05-31 |
Family
ID=76225082
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201911175570.3A Active CN112948720B (en) | 2019-11-26 | 2019-11-26 | Interaction optimization method and device based on user behaviors and computer equipment |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN112948720B (en) |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2017018702A2 (en) * | 2015-07-24 | 2017-02-02 | 에스케이플래닛 주식회사 | User device, service provision device, advertising system comprising same, method for controlling same, method for mapping targeting information between dsp and ssp, retargeting advertisement provision method using same, and recording medium having computer program recorded thereon |
| CN106815137A (en) * | 2015-12-01 | 2017-06-09 | 北京奇虎科技有限公司 | Ui testing method and apparatus |
| CN107563621A (en) * | 2017-08-22 | 2018-01-09 | 北京金堤科技有限公司 | A kind of website user's wastage analysis method and device |
| CN107784504A (en) * | 2017-07-31 | 2018-03-09 | 平安科技（深圳）有限公司 | Client pays a return visit the generation method and terminal device of event |
| JP2018205857A (en) * | 2017-05-31 | 2018-12-27 | オムロン株式会社 | Program development support device, program development support method and program development support program |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US11240324B2 (en) * | 2017-10-19 | 2022-02-01 | Content Square Israel Ltd. | System and method analyzing actual behavior of website visitors |
-
2019
- 2019-11-26 CN CN201911175570.3A patent/CN112948720B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2017018702A2 (en) * | 2015-07-24 | 2017-02-02 | 에스케이플래닛 주식회사 | User device, service provision device, advertising system comprising same, method for controlling same, method for mapping targeting information between dsp and ssp, retargeting advertisement provision method using same, and recording medium having computer program recorded thereon |
| CN106815137A (en) * | 2015-12-01 | 2017-06-09 | 北京奇虎科技有限公司 | Ui testing method and apparatus |
| JP2018205857A (en) * | 2017-05-31 | 2018-12-27 | オムロン株式会社 | Program development support device, program development support method and program development support program |
| CN107784504A (en) * | 2017-07-31 | 2018-03-09 | 平安科技（深圳）有限公司 | Client pays a return visit the generation method and terminal device of event |
| CN107563621A (en) * | 2017-08-22 | 2018-01-09 | 北京金堤科技有限公司 | A kind of website user's wastage analysis method and device |
Also Published As
| Publication number | Publication date |
|---|---|
| CN112948720A (en) | 2021-06-11 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN110781372B (en) | Method and device for optimizing website, computer equipment and storage medium | |
| CN108510287B (en) | Client return visit judgment method, electronic device and computer readable storage medium | |
| CN107480117B (en) | Recovery method and device for automatic page table single data | |
| CN110609780A (en) | Data monitoring method and device, electronic equipment and storage medium | |
| CN113076416A (en) | Information heat evaluation method and device and electronic equipment | |
| CN111723210A (en) | Method and device for storing data table, computer equipment and readable storage medium | |
| CN111476633A (en) | Product service recommendation platform, product service path recommendation method and medium | |
| CN114218455A (en) | Method, device, equipment and medium for quickly reading files | |
| CN105138344A (en) | Method and system for randomly generating screensaver according to picture hotness | |
| CN111221711A (en) | User behavior data processing method, server and storage medium | |
| CN108650123B (en) | Fault information recording method, device, equipment and storage medium | |
| CN113434762A (en) | Association pushing method, device and equipment based on user information and storage medium | |
| CN111078437B (en) | Remote calling method and device for verification codes, electronic equipment and readable storage medium | |
| CN112948720B (en) | Interaction optimization method and device based on user behaviors and computer equipment | |
| CN111367519B (en) | Page part using method and device, computing equipment and computer storage medium | |
| CN108664550B (en) | Funnel analysis method and device for user behavior data | |
| CN110221952B (en) | Service data processing method and device and service data processing system | |
| CN110659191B (en) | Buried data analysis method, buried data analysis device, computer equipment and storage medium | |
| CN114281688A (en) | Codeless or low-code automatic case management method and device | |
| CN108804083B (en) | Code operation method and device | |
| CN113343110A (en) | Method for realizing electronic book recommendation based on release information, electronic equipment and storage medium | |
| CN111639007A (en) | Data processing method, device, terminal and computer readable storage medium | |
| CN111752821A (en) | Method and device for packet pressure measurement, computer equipment and readable storage medium | |
| CN114780167B (en) | REACTNATIVE-based preloading method and REACTNATIVE-based preloading system | |
| CN115033227B (en) | Method, device, equipment and medium for managing product data through page |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |