CN110674404A - Link information generation method, device, system, storage medium and electronic equipment - Google Patents
Link information generation method, device, system, storage medium and electronic equipment Download PDFInfo
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- CN110674404A CN110674404A CN201910925693.8A CN201910925693A CN110674404A CN 110674404 A CN110674404 A CN 110674404A CN 201910925693 A CN201910925693 A CN 201910925693A CN 110674404 A CN110674404 A CN 110674404A
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- 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
- G06F16/953—Querying, e.g. by the use of web search engines
- G06F16/9535—Search customisation based on user profiles and personalisation
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- 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]
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- 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
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/21—Design or setup of recognition systems or techniques; Extraction of features in feature space; Blind source separation
- G06F18/214—Generating training patterns; Bootstrap methods, e.g. bagging or boosting
Abstract
The disclosure provides a link information generation method, a device, a system, a storage medium and electronic equipment, and belongs to the technical field of computers. The method comprises the following steps: when monitoring that the preset attribute of an object changes, acquiring a target object corresponding to the changed preset attribute and user behavior data associated with the target object; determining a target user meeting a preset condition according to the change of the preset attribute and the user behavior data; generating link information, wherein the link information comprises information that the preset attribute changes; and sending the link information to a client of the target user so as to send a target page when receiving a request based on the link information sent by the client, wherein the target page is generated according to the user behavior data of the target user and the preset attribute of the target object after the target object is changed. The link information generation method simplifies the process of sending the object link information to the user, improves the accuracy of information pushing, and saves the memory resources of the computer.
Description
Technical Field
The present disclosure relates to the field of computer technologies, and in particular, to a link information generation method, a link information generation apparatus, a link information generation system, a computer-readable storage medium, and an electronic device.
Background
The advent and popularity of the internet has brought a great deal of information to users, but at the same time has raised the cost of obtaining useful information. At present, most internet manufacturers push information of specific objects to users through a certain algorithm so as to help the users to obtain effective information and improve efficiency.
The existing information pushing method mainly pushes object information which may be interested by a user to the user by analyzing historical behavior data of the user. However, in the case of extremely huge data amount and data type, the information push method faces many difficulties, such as: the number of users and objects is usually large, and the information pushing method has a data sparsity problem, that is, there are few associated data between users and objects, and the pushing calculation result is also inevitably inaccurate. Meanwhile, due to the large data volume, the information pushing method necessarily requires that the computer has strong computing power, so that the overhead in the aspect of hardware is increased.
It is to be noted that the information disclosed in the above background section is only for enhancement of understanding of the background of the present disclosure, and thus may include information that does not constitute prior art known to those of ordinary skill in the art.
Disclosure of Invention
The present disclosure is directed to a link information generating method, a link information generating apparatus, a link information generating system, a computer-readable storage medium, and an electronic device, so as to overcome a problem of low information push accuracy in the prior art to a certain extent.
According to a first aspect of the present disclosure, there is provided a link information generating method, the method including: when monitoring that the preset attribute of an object changes, acquiring a target object corresponding to the changed preset attribute and user behavior data associated with the target object; determining a target user meeting a preset condition according to the change of the preset attribute and the user behavior data; generating link information, wherein the link information comprises information that the preset attribute changes; and sending the link information to a client of the target user so as to send a target page when receiving a request based on the link information sent by the client, wherein the target page is generated according to the user behavior data of the target user and the preset attribute after the target object is changed.
In an exemplary embodiment of the present disclosure, when generating the target page, the method further includes: and acquiring a related object according to the target object, and setting a preset link of the related object into the target page.
In an exemplary embodiment of the present disclosure, the determining, according to the change of the preset attribute and the user behavior data, a target user that meets a preset condition includes: extracting user behavior data with data generation time within a preset time range from the user behavior data to obtain target user behavior data; and determining the user corresponding to the target user behavior data as the target user.
In an exemplary embodiment of the present disclosure, the target page includes resource request content corresponding to a change of the preset attribute; after the target page is sent, the method further comprises: responding to a resource request sent by the client of the target user through the target page, and sending the information that the target user successfully obtains the preset attribute change content to the client of the target user.
In an exemplary embodiment of the present disclosure, the target page further includes a link sharing instruction; and the client sends the resource request by executing the link sharing instruction.
In an exemplary embodiment of the present disclosure, obtaining user behavior data associated with the target object includes: determining one or more preset events according to the preset attributes; and acquiring user behavior data which is associated with the target object and corresponds to the preset event.
In an exemplary embodiment of the present disclosure, the determining, according to the change of the preset attribute and the user behavior data, a target user that meets a preset condition includes: extracting users in the user behavior data to generate a user set; acquiring the sensitivity of each user in the user set to the preset attribute; determining a sensitivity threshold according to the variation of the preset attribute; and determining the users in the user set, the sensitivity of which to the preset attribute is greater than the sensitivity threshold value, as the target users.
In an exemplary embodiment of the present disclosure, obtaining the sensitivity of each user in the user set to the preset attribute includes: extracting feature data of each user according to the basic information of each user in the user set and the user behavior data of each user corresponding to the preset attribute; and processing the characteristic data of each user through a pre-trained user classification model to obtain the sensitivity of each user to the preset attribute.
According to a second aspect of the present disclosure, there is provided a link information generating apparatus, the apparatus including: the monitoring module is used for acquiring a target object corresponding to a changed preset attribute and user behavior data associated with the target object when the preset attribute of the object is monitored to be changed; the determining module is used for determining a target user meeting a preset condition according to the change of the preset attribute and the user behavior data; the generating module is used for generating link information, and the link information comprises information that the preset attribute changes; and the sending module is used for sending the link information to a client of the target user so as to send a target page when receiving a request based on the link information sent by the client, wherein the target page is generated according to the user behavior data of the target user and the preset attribute after the target object is changed.
In an exemplary embodiment of the disclosure, when the target page is generated, the apparatus is further configured to obtain an associated object according to the target object, and set a preset link of the associated object to the target page.
In an exemplary embodiment of the present disclosure, the determining module is configured to extract user behavior data with data generation time within a preset time range from the user behavior data to obtain target user behavior data; and determining the user corresponding to the target user behavior data as the target user.
In an exemplary embodiment of the present disclosure, the target page includes resource request content corresponding to a change of the preset attribute; after the target page is sent, the device is further used for responding to a resource request sent by the client of the target user through the target page, and sending the information that the target user successfully obtains the preset attribute change content to the client of the target user.
In an exemplary embodiment of the present disclosure, the target page further includes a link sharing instruction; and the client sends the resource request by executing the link sharing instruction.
In an exemplary embodiment of the present disclosure, the monitoring module is configured to determine one or more preset events according to the preset attribute; and acquiring user behavior data which is associated with the target object and corresponds to the preset event.
In an exemplary embodiment of the disclosure, the determining module is further configured to extract users in the user behavior data, and generate a user set; acquiring the sensitivity of each user in the user set to the preset attribute; determining a sensitivity threshold according to the variation of the preset attribute; and determining the users in the user set, the sensitivity of which to the preset attribute is greater than the sensitivity threshold value, as the target users.
In an exemplary embodiment of the present disclosure, the determining module further includes a training unit, configured to extract feature data of each user according to basic information of each user in the user set and user behavior data of each user corresponding to the preset attribute; and processing the characteristic data of each user through a pre-trained user classification model to obtain the sensitivity of each user to the preset attribute.
According to a third aspect of the present disclosure, there is provided a link information generation system, the system including a front-end server, a back-end server, a database, and a client; wherein: the back-end server is used for monitoring the preset attribute of the object in the database, and when the preset attribute is monitored to be changed, acquiring a target object corresponding to the changed preset attribute and user behavior data associated with the target object; the back-end server is further used for determining a target user meeting a preset condition according to the change of the preset attribute and the user behavior data; the front-end server is used for generating link information, and the link information comprises information that the preset attribute changes; the front-end server is further configured to send the link information to a client of the target user, so as to send a target page when receiving a request based on the link information sent by the client, where the target page is generated according to the user behavior data of the target user and the preset attribute after the target object is changed.
According to a fourth aspect of the present disclosure, there is provided a computer readable storage medium having stored thereon a computer program which, when executed by a processor, implements the method of any one of the above.
According to a fifth aspect of the present disclosure, there is provided an electronic device comprising: a processor; and a memory for storing executable instructions of the processor; wherein the processor is configured to perform the method of any of the above via execution of the executable instructions.
The exemplary embodiments of the present disclosure may have the following advantageous effects:
the disclosed exemplary embodiment provides a link information generation method, which extracts a target user by determining a target object and according to a variation of preset attributes of the target object and user behavior data, transmits link information including associated object content to the target user, and transmits a target page to a user client when receiving a resource request of the user client for the link information. On one hand, the method only selects the user related to the target object, so that the link information push of the user is more targeted, and the accuracy of the link information push method is improved; on the other hand, the process of screening the target user reduces the data volume increased by the unrelated information, improves the calculation speed of the link information pushing method, and because the link has the characteristics of short and short size, simple manufacture and rich information volume, the difficulty of generating the pushing information is reduced by sending the link information to the target user, the user can initiate a resource request based on the link information, and the occupation of the sent pushing information on the computer memory is reduced.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the disclosure.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present disclosure and together with the description, serve to explain the principles of the disclosure. It is apparent that the drawings in the following description are only some embodiments of the present disclosure, and that other drawings can be obtained from those drawings without inventive effort for a person skilled in the art.
Fig. 1 shows a flowchart of a link information generation method in an exemplary embodiment of the present disclosure;
FIG. 2 is a diagram illustrating a destination page in an exemplary embodiment of the present disclosure;
fig. 3 illustrates a flowchart of another link information generation method in an exemplary embodiment of the present disclosure;
fig. 4 is a block diagram showing a configuration of a link information generating apparatus in an exemplary embodiment of the present disclosure;
FIG. 5 shows a schematic structural diagram of a link information generation system in an exemplary embodiment of the present disclosure;
FIG. 6 illustrates a computer-readable storage medium for implementing the above-described method in an exemplary embodiment of the present disclosure;
fig. 7 schematically illustrates an electronic device for implementing the above method in an exemplary embodiment of the present disclosure.
Detailed Description
Exemplary embodiments will now be described more fully with reference to the accompanying drawings. The exemplary embodiments, however, may be embodied in many different forms and should not be construed as limited to the examples set forth herein; rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the concept of example embodiments to those skilled in the art. The described features, structures, or characteristics may be combined in any suitable manner in one or more embodiments. In the following description, numerous specific details are provided to give a thorough understanding of embodiments of the disclosure. One skilled in the relevant art will recognize, however, that the subject matter of the present disclosure can be practiced without one or more of the specific details, or with other methods, components, devices, steps, and the like. In other instances, well-known technical solutions have not been shown or described in detail to avoid obscuring aspects of the present disclosure.
The terms "a", "an", "the" are used herein to denote the presence of one or more elements/components/parts/etc.; the terms "comprising" and "having" are intended to be inclusive and mean that there may be additional elements/components/etc. other than the listed elements/components/etc.; the terms "first" and "second", etc. are used merely as labels, and are not limiting on the number of their objects.
In one approach of the related art, for an object of interest to a user, for example: items, activities, etc., the network platform may remind the user to view through a notification message that is typically viewed by the user spontaneously or that the reminder is to be attended to and set, such as: price compensation information of purchased articles of a user, a discount sale time prompt of a certain shopping website, a prompt of a certain reading platform for putting on a new book and the like. The method for reminding the user reduces the influence of irrelevant information on user experience, but the method needs the user to set message reminding conditions and a message reminding mode by himself, so that the operation steps of the user are increased, and when the number of the objects is large, the operation process is too tedious, and the user experience is poor.
The present exemplary embodiment first provides a link information generating method. The method can be executed by a server in the background of a computer or an application program, and sends the link information of a specific object to a client, such as: in shopping applications, sending commodity link information with a purchasing tendency to a user; in the service class application, the user is sent the service content that he may have a tendency to trade.
Fig. 1 shows a method flow of the present exemplary embodiment, which may include the following steps S110 to S140:
and S110, when the preset attribute of the object is monitored to be changed, acquiring a target object corresponding to the changed preset attribute and user behavior data associated with the target object.
The object refers to content or an object acted by a user behavior, and according to different application scenes, the object may be: items in online shopping applications, activities in life service applications, friends in social applications, and the like.
The preset attribute is a specific or common property of the object, and may be any attribute of the preset object, and generally includes an attribute that is more concerned by the user, for example: the object is an article, and the preset attribute can be the style, color, quantity, price and the like of the article; the object is an event, and the attribute of the object can be information of time, place, guests, ticket price and the like of the event. In this exemplary embodiment, the preset attribute may be one attribute or a combination of multiple attributes. The attribute information of the object is usually stored in a specific database, and the attribute data of the object can be obtained by using the name of the object as an index. The change of the preset attribute means that any one or more preset attribute values (data of the preset attribute) are changed, such as the price change of the article, the time change of the activity, and the like.
The target object refers to an object with a changed preset attribute, and the user behavior data of the target object may be log data related to the target object. In general, in log data, the behavior of different users at various times is recorded, including what kind of operation the user has performed with respect to which object. The content of the log data is different according to different object types, such as: the target object is an article A, and the user behavior data can be a user behavior record related to the article A, such as behaviors that a certain user purchases, collects or comments about the article A at a certain time; the target object is activity B, and the user behavior data can be behavior records of browsing, searching, focusing and the like of the user on the activity B.
In an alternative embodiment, obtaining the user behavior data associated with the target object may be implemented by:
determining one or more preset events according to the preset attributes;
user behavior data associated with the target object and corresponding to a preset event is acquired.
The preset event is a real event related to the preset attribute change, and may be a combined event of one or more preset attribute changes, for example, the target object is an article a, and when price attribute data in the first type of data of the target object is increased, the preset event is price expansion of the article a; the target object is event B, and when the time data in its first category of data changes (unlike the time data in the last record) while the ticket price data decreases, then the preset event is event B ticket derating and event time changes.
When the preset attribute is monitored to change, one or more preset events are determined according to the change of the preset attribute, and user behavior data associated with the target object is determined through the preset events. The association refers to the related behaviors of the user on the target object before and after the preset attribute of the target object changes, such as attention, collection, purchase and the like, the behaviors indicate that the user may have interest in the target object, and the data can be recorded by the system and stored in the log database. In this exemplary embodiment, the log database may use the target object as a search condition to search the log data related to the target object, as the user behavior data of the target object.
And S120, determining a target user meeting the preset conditions according to the change of the preset attributes and the user behavior data.
The preset condition means that a preset time range is met. Because the data volume of the user behavior data is usually more, and the user behavior data can only indicate that the user has an interest in the target object within a certain period of time, the user behavior data of the target object within a certain time range, such as the user behavior data of the last month and the last week, can be obtained.
In an optional implementation manner, the relevancy in the log data may also be filtered, and the log data with higher relevancy is selected as the user behavior data, for example, for the article a, only the log data with higher relevancy such as purchase, collection and the like is selected, but the log data with lower relevancy such as comment, browse and the like is not selected.
In an alternative embodiment, step S120 may be specifically implemented by:
extracting user behavior data with data generation time within a preset time range from the user behavior data to obtain target user behavior data;
and determining the user corresponding to the target user behavior data as the target user.
The log data of the data generation time within the preset time range is screened from the user behavior data, for example, the log data of behavior data generated on the target object in one month before and after the preset attribute changes can be extracted to obtain target user behavior data, and all users in the data are extracted to serve as target users.
In an alternative embodiment, step S120 can also be implemented by:
extracting users in the user behavior data to generate a user set;
acquiring the sensitivity of each user in the user set to a preset attribute;
determining a sensitivity threshold according to the variation of the preset attribute;
and determining the users with the sensitivity greater than the sensitivity threshold value to the preset attribute in the user set as target users.
The variation of the preset attribute may include multiple types, for example: when the preset attribute of the target object contains information such as price, quantity and the like, the variation of the preset attribute is a price difference value, a quantity difference value and the like of the target object; when the target attribute information includes time information, the variation of the preset attribute may be a time difference. The sensitivity refers to the interest degree of the user on the target object, and is used for judging whether the change of the preset attribute can cause the transaction possibility of the user on the target object; the sensitivity threshold refers to a sensitivity limit of the user to trade the target object, and when the sensitivity of the user to the target object is not less than the threshold or more than the threshold, the trading probability of the user to the target object is high.
In the exemplary embodiment, the sensitivity of each user in the user set to the preset attribute is used, the user set with the user sensitivity greater than the sensitivity threshold is used as the target user, users with high interest degree in the target object are further screened, and the accuracy of link information pushing is improved.
Step S130, link information is generated, and the link information comprises information that the preset attribute changes.
The link refers to a connection relation pointing from a web page to a target, and is mainly in a specially-coded text or graphic form. In the present exemplary embodiment, the link information refers to a link that includes information that a preset attribute of the target object has changed.
And adding the information about the change of the preset attribute into the link content, and sending the information to the client of the target user, wherein the user can acquire the detailed content about the preset attribute by clicking the link.
In an optional implementation manner, the link information may include a link, text, and the like, for example, "XX articles that you are interested in is decreasing in price today, and http:// xxx123xxx456 xxx" is clicked in detail, and also, picture information may be added to the link, for example, a picture path of the target object is added to the link content, and when the user clicks the link, the picture of the target object is displayed in the corresponding page area.
And S140, sending the link information to a client of the target user so as to send a target page when a request based on the link information sent by the client is received, wherein the target page is generated according to the user behavior data of the target user and the preset attribute of the target object after the target object is changed.
The link information includes information that the preset attribute of the target object changes, and at the target user client, the user can click the link information to obtain the detailed content of the corresponding target object, and the detailed content can be displayed in the target page.
In an optional implementation manner, the generating of the target page may be implemented by:
and acquiring the associated object according to the target object, and setting a preset link of the associated object into the target page.
Wherein, the associated object refers to an object having a certain association with the target object, for example, if the target object is a certain toothbrush, the associated object can be a certain toothpaste related to the target object; the target object is an activity, and its associated object may be another activity similar to the activity, such as a different activity attended by a guest.
In an optional implementation manner, the target page may include resource request content corresponding to a change of a preset attribute, and the user may click a corresponding link to obtain the content of the target page, as shown in fig. 2, a schematic diagram 200 of the target page generated by link information in an exemplary implementation of the present disclosure is shown, where the preset attribute of the target object in fig. 2 is a price. In addition, other content may also be included in the target page, such as: the variation of the preset attribute, such as how much the price of the article is specifically reduced, is 10 as shown in fig. 2; the picture information of the target object can be displayed as a thumbnail or can be a target object picture with a certain proportion.
And when the client of the target user sends the resource request through the target page, the information that the target user successfully obtains the preset attribute change content is sent to the user client.
In an optional implementation manner, the target page may further include a link sharing instruction, and at the client of the target user, the user may send a resource request by executing the link sharing instruction, so as to obtain the content with the changed preset attribute. The link sharing instruction can be displayed in the target page in the form of icons or characters and the like, and the resource request can be completed by clicking the icon or character function keys in the target page, so that the preset attribute change content is obtained.
Because the link has the characteristics of short and small size, simplicity in manufacturing, rich information quantity and the like, when the preset attribute changes, the preset attribute change information is converted into the link and is sent to the client where the target user is located, the memory occupation for directly sending the target object information is reduced, the information pushing efficiency is improved, meanwhile, the method for generating the target page by the link information enables the user to click the link to obtain the target object information when the target object information needs to be obtained, the processing is not carried out when the target object information does not need to be obtained, and the memory occupation and the user experience influence caused by directly pushing the target object information are avoided.
In addition, the link information may be sent to the user in various ways, such as: and pushing information, short messages, e-mails and the like in the application program.
In step S130, when a user in the user set whose sensitivity to the preset attribute is greater than the sensitivity threshold is determined as the target user, the sensitivity of the user to the preset attribute may be obtained by:
extracting characteristic data of each user according to the basic information of each user in the user set and user behavior data of each user corresponding to preset attributes;
and processing the characteristic data of each user through a pre-trained user classification model to obtain the sensitivity of each user to the preset attribute.
The characteristic data of the user includes basic information data of the user and user behavior data including preset attribute information, the basic data includes an ID (Identification), a gender, an age, a region, and the like of the user, and the user behavior data is log data generated by the user for the target object. In the exemplary embodiment, the feature data is divided into a training set and a test set through a user classification model in machine learning, the classification model is trained in the training set to have better classification performance, and the sensitivity of each user in the feature data to the preset attribute is obtained through calculation of the test set.
In an alternative embodiment, the sensitivity threshold may be obtained by:
sorting the sensitivity values of the users in the user set to the preset attributes, selecting any determined value as an initial threshold value, such as a mean value, a median value and the like, monitoring the updating of user behavior data of the users in the user set, judging the transaction condition of the users in the target user set divided by the threshold value to the target object, and if most of the users perform transactions, properly reducing the sensitivity threshold value; otherwise, most users do not trade, the sensitivity threshold is increased appropriately. The sensitivity threshold corresponding to the preset attribute variation can be more accurately determined by iteration in the mode.
In summary, the exemplary embodiments of the present disclosure provide a link information generating method, where according to preset attribute information and user behavior data of a target object, when a preset attribute of the target object changes, a target user is extracted from the user behavior data of the target object according to a user behavior data generating time of the target object and an interest level of the user in the preset attribute, and link information including content of an associated object is sent to the target user. On one hand, the method only selects the user related to the target object, so that the link information push of the user is more targeted, and the accuracy of the link information push method is improved; on the other hand, the process of screening the target user reduces the data volume increased by the unrelated information, improves the calculation speed of the link information pushing method, and because the link has the characteristics of short and short size, simple manufacture and rich information volume, the difficulty of generating the link pushing information is reduced by sending the link information to the target user, the user can initiate a resource request based on the link information, and the occupation of the sent pushing information on the computer memory is reduced.
Further, an exemplary embodiment of the present disclosure provides a link information pushing flow of the above link information generating method, which is shown with reference to fig. 3, and specifically includes the following contents:
step S310, monitoring the attribute change of the object.
When one or more attributes of the object are monitored to be changed, the operation of determining the target object and the user behavior data of the target object is triggered.
And S320, acquiring user behavior data.
And acquiring user behavior data, namely log data, by accessing the database, wherein the data is user operation record data associated with the target object.
And S330, determining a target user.
And determining a target user from the user behavior data, wherein various operation data of the user in the target user data are removed.
Step S340, sending the link information.
And sending the link information containing the associated object content to the target user, wherein the sending mode of the link information can include multiple modes, such as a push information, a short message and an e-mail push mode in an application program.
And S350, acquiring the target object.
After the user receives the link information, the user can know the basic information of the target object and further obtain the detailed information of the target object through the content of the link information, for example, click a target page to jump to a corresponding application program to obtain the detailed content of the target object, and obtain other information of the target object through a sharing behavior, such as a coupon.
Finally, the operation record data of the target object after the user receives the link information is further monitored, and the operation record data is synchronized to the user behavior database, so that the accuracy of target user division in the method is further analyzed, for example: the optimal sensitivity threshold corresponding to the preset attribute variation of the target object is determined by performing statistical analysis on the purchase condition of the user after receiving the link information, so that the link information pushing accuracy of the exemplary embodiment of the disclosure is further improved.
The specific details of each step in the above process have been described in detail in the method section embodiment, and details of the undisclosed scheme may refer to the method section embodiment, and thus are not described again.
Further, in an exemplary embodiment of the present disclosure, a link information generating apparatus is also provided. As shown with reference to fig. 4, the link information generating apparatus 400 may include: a listening module 410, a determining module 420, a generating module 430 and a transmitting module 440. Wherein: the monitoring module 410 is configured to, when it is monitored that the preset attribute of the object changes, obtain a target object corresponding to the changed preset attribute and user behavior data associated with the target object; a determining module 420, configured to determine, according to the change of the preset attribute and the user behavior data, a target user that meets a preset condition; a generating module 430, configured to generate link information, where the link information may include information that a preset attribute changes; the sending module 440 is configured to send the link information to the client of the target user, so as to send the target page when receiving a request based on the link information sent by the client, where the target page is generated according to the user behavior data of the target user and the preset attribute after the target object is changed.
In an exemplary embodiment of the disclosure, when the target page is generated, the apparatus may be further configured to obtain the associated object according to the target object, and set a preset link of the associated object to the target page.
In an exemplary embodiment of the present disclosure, the determining module 420 may be configured to extract user behavior data with a data generation time within a preset time range from the user behavior data, so as to obtain target user behavior data; and determining the user corresponding to the target user behavior data as the target user.
In an exemplary embodiment of the present disclosure, the target page includes resource request content corresponding to a change of a preset attribute; after sending the target page, the apparatus 400 may be further configured to respond to a resource request sent by the client of the target user through the target page, and send information that the target user successfully obtains the preset attribute change content to the client of the target user.
In an exemplary embodiment of the present disclosure, the target page further includes a link sharing instruction; and the client sends the resource request by executing the link sharing instruction.
In an exemplary embodiment of the present disclosure, the listening module 410 may be configured to determine one or more preset events according to preset attributes; user behavior data associated with the target object and corresponding to a preset event is acquired.
In an exemplary embodiment of the disclosure, the determining module 420 may be further configured to extract users in the user behavior data, and generate a user set; acquiring the sensitivity of each user in the user set to a preset attribute; determining a sensitivity threshold according to the variation of the preset attribute; and determining the users with the sensitivity greater than the sensitivity threshold value to the preset attribute in the user set as target users.
In an exemplary embodiment of the present disclosure, the determining module 420 further includes a training unit, configured to extract feature data of each user according to the basic information of each user in the user set and user behavior data corresponding to a preset attribute of each user; and processing the characteristic data of each user through a pre-trained user classification model to obtain the sensitivity of each user to the preset attribute.
The specific details of each module/unit in the above-mentioned apparatus have been described in detail in the method section, and details of the undisclosed scheme may refer to the method section, and thus are not described again.
As will be appreciated by one skilled in the art, aspects of the present disclosure may be embodied as a system, method or program product. Accordingly, various aspects of the present disclosure may be embodied in the form of: an entirely hardware embodiment, an entirely software embodiment (including firmware, microcode, etc.) or an embodiment combining hardware and software aspects that may all generally be referred to herein as a "circuit," module "or" system.
An exemplary embodiment of the present disclosure also provides a link information generating system, and as shown with reference to fig. 5, the link information generating system 500 includes a front-end server 510, a back-end server 520, a database 530, and a client 540. The front-end server 510 is a background server providing a link service; the back-end server 520 is a background server that performs data detection and logic determination; database 530 is a software system or hardware device that stores object data; the client 540 is an application program capable of receiving link information, and the application program can be applied to electronic devices such as a mobile phone, a desktop computer, a tablet computer, and the like. It should be understood that the number of front-end servers, back-end servers, databases, and clients in fig. 5 are merely illustrative. There may be any number of front-end servers, back-end servers, databases, and clients, as desired for implementation. For example, servers 510 and 520 may be a server cluster comprised of multiple servers, and the like.
The backend server 520 may be configured to monitor a preset attribute of an object in the database 530, and when it is monitored that the preset attribute changes, obtain a target object corresponding to the changed preset attribute and user behavior data associated with the target object; the back-end server 520 may further be configured to determine, according to the change of the preset attribute and the user behavior data, a target user that meets a preset condition; the front-end server 510 may be configured to generate link information, where the link information includes information that the preset attribute changes; the front-end server 510 may further be configured to send link information to a client of a target user, so as to send a target page when receiving a request based on the link information sent by the client, where the target page is generated according to user behavior data of the target user and a preset attribute after a target object is changed.
In an alternative embodiment, the front-end server 510 and the back-end server 520 may also be merged, for example, a background application server is provided to integrate the functions of the front-end server 510 and the back-end server 520, and the application server may perform any link information generation method of the present disclosure, for example, may perform the method steps of fig. 1 or fig. 3.
Further, the exemplary embodiments of the present disclosure also provide a computer-readable storage medium on which a program product capable of implementing the above-described method of the present specification is stored. In some possible embodiments, various aspects of the disclosure may also be implemented in the form of a program product comprising program code for causing an electronic device to perform the steps according to various exemplary embodiments of the disclosure described in the above-mentioned "exemplary methods" section of this specification, when the program product is run on the electronic device.
Referring to fig. 6, a program product 600 for implementing the above method according to an exemplary embodiment of the present disclosure is described, which may employ a portable compact disc read only memory (CD-ROM) and include program code, and may be run on an electronic device, such as a personal computer. However, the program product of the present disclosure is not limited thereto, and in this document, a readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device.
The program product may employ any combination of one or more readable media. The readable medium may be a readable signal medium or a readable storage medium. A readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples (a non-exhaustive list) of the readable storage medium include: an electrical connection having one or more wires, a portable disk, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
A computer readable signal medium may include a propagated data signal with readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A readable signal medium may also be any readable medium that is not a readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device.
Program code embodied on a readable medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.
Program code for carrying out operations for the present disclosure may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, C + + or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computing device, partly on the user's device, as a stand-alone software package, partly on the user's computing device and partly on a remote computing device, or entirely on the remote computing device or server. In the case of a remote computing device, the remote computing device may be connected to the user computing device through any kind of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or may be connected to an external computing device (e.g., through the internet using an internet service provider).
The exemplary embodiment of the present disclosure also provides an electronic device capable of implementing the above method. An electronic device 700 according to such an exemplary embodiment of the present disclosure is described below with reference to fig. 7. The electronic device 700 shown in fig. 7 is only an example and should not bring any limitation to the functions and the scope of use of the embodiments of the present disclosure.
As shown in fig. 7, electronic device 700 may take the form of a general purpose computing device. The components of the electronic device 700 may include, but are not limited to: at least one processing unit 710, at least one memory unit 720, a bus 730 that connects the various system components (including the memory unit 820 and the processing unit 710), and a display unit 740.
The memory unit 720 stores program code that may be executed by the processing unit 710 to cause the processing unit 710 to perform steps according to various exemplary embodiments of the present disclosure as described in the "exemplary methods" section above in this specification. For example, processing unit 710 may perform the method steps shown in fig. 1 or fig. 3, and so on.
The storage unit 720 may include readable media in the form of volatile memory units, such as a random access memory unit (RAM)721 and/or a cache memory unit 722, and may further include a read only memory unit (ROM) 723.
The memory unit 720 may also include programs/utilities 724 having a set (at least one) of program modules 725, such program modules 725 including, but not limited to: an operating system, one or more application programs, other program modules, and program data, each of which, or some combination thereof, may comprise an implementation of a network environment.
The electronic device 700 may also communicate with one or more external devices 800 (e.g., keyboard, pointing device, bluetooth device, etc.), with one or more devices that enable a user to interact with the electronic device 700, and/or with any devices (e.g., router, modem, etc.) that enable the electronic device 700 to communicate with one or more other computing devices. Such communication may occur via an input/output (I/O) interface 750. Also, the electronic device 700 may communicate with one or more networks (e.g., a Local Area Network (LAN), a Wide Area Network (WAN), and/or a public network such as the internet) via the network adapter 760. As shown, the network adapter 760 communicates with the other modules of the electronic device 700 via the bus 730. It should be appreciated that although not shown in the figures, other hardware and/or software modules may be used in conjunction with the electronic device 700, including but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, and data backup storage systems, among others.
Through the above description of the embodiments, those skilled in the art will readily understand that the exemplary embodiments described herein may be implemented by software, or by software in combination with necessary hardware. Therefore, the technical solution according to the embodiments of the present disclosure may be embodied in the form of a software product, which may be stored in a non-volatile storage medium (which may be a CD-ROM, a usb disk, a removable hard disk, etc.) or on a network, and includes several instructions to enable a computing device (which may be a personal computer, a server, a terminal device, or a network device, etc.) to execute the method according to the exemplary embodiments of the present disclosure.
It is to be noted that the flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present disclosure. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams or flowchart illustration, and combinations of blocks in the block diagrams or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
The units described in the embodiments of the present disclosure may be implemented by software, or may be implemented by hardware, and the described units may also be disposed in a processor. Wherein the names of the elements do not in some way constitute a limitation on the elements themselves.
Furthermore, the drawings are merely schematic illustrations of the present disclosure and are not necessarily drawn to scale. The same reference numerals in the drawings denote the same or similar parts, and thus their repetitive description will be omitted. Some of the block diagrams shown in the figures are functional entities and do not necessarily correspond to physically or logically separate entities. These functional entities may be implemented in the form of software, or in one or more hardware modules or integrated circuits, or in different networks and/or processor devices and/or microcontroller devices.
It should be noted that although several modules for the apparatus executed by the screenshot device are mentioned in the above detailed description, such division is not mandatory. Indeed, the features and functionality of two or more of the modules described above may be embodied in one module, according to embodiments of the present disclosure. Conversely, the features and functions of one module described above may be further divided into embodiments by a plurality of modules.
Other embodiments of the disclosure will be apparent to those skilled in the art from consideration of the specification and practice of the disclosure disclosed herein. This application is intended to cover any variations, uses, or adaptations of the disclosure following, in general, the principles of the disclosure and including such departures from the present disclosure as come within known or customary practice within the art to which the disclosure pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the disclosure being indicated by the following claims.
Claims (12)
1. A method for generating link information, the method comprising:
when monitoring that the preset attribute of an object changes, acquiring a target object corresponding to the changed preset attribute and user behavior data associated with the target object;
determining a target user meeting a preset condition according to the change of the preset attribute and the user behavior data;
generating link information, wherein the link information comprises information that the preset attribute changes;
and sending the link information to a client of the target user so as to send a target page when receiving a request based on the link information sent by the client, wherein the target page is generated according to the user behavior data of the target user and the preset attribute after the target object is changed.
2. The link information generation method according to claim 1, wherein in generating the target page, the method further comprises:
and acquiring a related object according to the target object, and setting a preset link of the related object into the target page.
3. The method according to claim 1, wherein the determining, according to the change in the preset attribute and the user behavior data, a target user that satisfies a preset condition includes:
extracting user behavior data with data generation time within a preset time range from the user behavior data to obtain target user behavior data;
and determining the user corresponding to the target user behavior data as the target user.
4. The link information generation method according to claim 1, wherein the target page includes resource request content corresponding to a change in the preset attribute; after the target page is sent, the method further comprises:
responding to a resource request sent by the client of the target user through the target page, and sending the information that the target user successfully obtains the preset attribute change content to the client of the target user.
5. The link information generation method according to claim 4, wherein the target page further includes a link sharing instruction; and the client sends the resource request by executing the link sharing instruction.
6. The link information generation method according to claim 1, wherein acquiring user behavior data associated with the target object includes:
determining one or more preset events according to the preset attributes;
and acquiring user behavior data which is associated with the target object and corresponds to the preset event.
7. The method for generating link information according to claim 1, wherein the determining, according to the change of the preset attribute and the user behavior data, a target user that meets a preset condition includes:
extracting users in the user behavior data to generate a user set;
acquiring the sensitivity of each user in the user set to the preset attribute;
determining a sensitivity threshold according to the variation of the preset attribute;
and determining the users in the user set, the sensitivity of which to the preset attribute is greater than the sensitivity threshold value, as the target users.
8. The method according to claim 7, wherein the obtaining a sensitivity of each user in the user set to the preset attribute comprises:
extracting feature data of each user according to the basic information of each user in the user set and the user behavior data of each user corresponding to the preset attribute;
and processing the characteristic data of each user through a pre-trained user classification model to obtain the sensitivity of each user to the preset attribute.
9. A link information generation apparatus, characterized in that the apparatus comprises:
the monitoring module is used for acquiring a target object corresponding to a changed preset attribute and user behavior data associated with the target object when the preset attribute of the object is monitored to be changed;
the determining module is used for determining a target user meeting a preset condition according to the change of the preset attribute and the user behavior data;
the generating module is used for generating link information, and the link information comprises information that the preset attribute changes;
and the sending module is used for sending the link information to a client of the target user so as to send a target page when receiving a request based on the link information sent by the client, wherein the target page is generated according to the user behavior data of the target user and the preset attribute after the target object is changed.
10. A link information generation system is characterized by comprising a front-end server, a back-end server, a database and a client; wherein:
the back-end server is used for monitoring the preset attribute of the object in the database, and when the preset attribute is monitored to be changed, acquiring a target object corresponding to the changed preset attribute and user behavior data associated with the target object;
the back-end server is further used for determining a target user meeting a preset condition according to the change of the preset attribute and the user behavior data;
the front-end server is used for generating link information, and the link information comprises information that the preset attribute changes;
the front-end server is further configured to send the link information to a client of the target user, so as to send a target page when receiving a request based on the link information sent by the client, where the target page is generated according to the user behavior data of the target user and the preset attribute after the target object is changed.
11. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the method of any one of claims 1 to 8.
12. An electronic device, comprising:
a processor; and
a memory for storing executable instructions of the processor;
wherein the processor is configured to perform the method of any of claims 1-8 via execution of the executable instructions.
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