CN112418916A

CN112418916A - Information providing method and device

Info

Publication number: CN112418916A
Application number: CN202011241266.7A
Authority: CN
Inventors: 施平平; 孙丹丹; 张思雨; 黄扬慧; 金大镒; 李敏; 官萌; 张晨鹏
Original assignee: Beijing Sankuai Online Technology Co Ltd
Current assignee: Beijing Sankuai Online Technology Co Ltd
Priority date: 2020-11-09
Filing date: 2020-11-09
Publication date: 2021-02-26

Abstract

The specification discloses an information providing method and device, which can acquire behavior information of a user in a past specified duration, judge whether a currently browsed page of the user is a page corresponding to a target merchant, judge whether the type of the user is the type of the target user according to the behavior information, monitor the operation of the user if the judgment result is yes, and provide the specified information corresponding to the target merchant to the user when the currently browsed page of the user is determined to be changed according to the operation of the user. The specification can provide the designated information of the target merchant for the user of the target user type, so that the designated information provided by the merchant is more targeted, the range of providing the designated information by the merchant is reduced to a certain extent, the cost of providing the designated information by the merchant is reduced, and the designated information is provided for the user when the user leaves the page corresponding to the target merchant, so that the effect of saving the user can be achieved based on the designated information.

Description

Information providing method and device

Technical Field

The present disclosure relates to the field of internet technologies, and in particular, to a method and an apparatus for providing information.

Background

Currently, in an Online To Offline (O2O) scenario, a third-party platform may provide information To a user, so that the user may obtain services on the third-party platform according To the provided information.

For example, a merchant may publish product offer information on a third-party platform, and when a user consumes on the third-party platform, an order may be placed online according to the product offer information published by the merchant to obtain goods or services provided by the merchant.

Disclosure of Invention

The embodiments of the present specification provide a method and an apparatus for providing information, so as to partially solve the above problems in the prior art.

The embodiment of the specification adopts the following technical scheme:

the method for providing information provided by the specification comprises the following steps:

acquiring behavior information of a user within a past specified duration;

judging whether the page currently browsed by the user is a page corresponding to a target merchant; judging whether the type of the user is a target user type or not according to the behavior information;

and if the judgment result is yes, monitoring the operation of the user, and providing the specified information corresponding to the target merchant to the user when the change of the currently browsed page of the user is determined according to the operation of the user.

Optionally, judging whether the type of the user is a target user type according to the behavior information, specifically including:

inputting the behavior information into a pre-trained first model to obtain a prediction result output by the first model;

and judging whether the type of the user is a target user type or not according to the prediction result.

Optionally, the behavior information includes browsing times, browsing duration, and number of browsed merchants;

judging whether the type of the user is a target user type according to the behavior information, and specifically comprising the following steps:

judging whether the browsing times are larger than a preset time threshold value or not; and/or judging whether the browsing time length is greater than a preset time length threshold value; and/or judging whether the number of browsed merchants is greater than a preset number threshold value;

and if the judgment result is greater than the preset threshold, judging that the type of the user is the type of the target user.

Optionally, determining that the page currently browsed by the user changes according to the operation of the user specifically includes:

and according to the operation of the user, determining that the page corresponding to the target merchant jumps to other pages through the terminal of the user, wherein the other pages comprise pages except the page corresponding to the target merchant.

Optionally, the target merchant comprises a hotel type merchant, and the specified information comprises a coupon;

providing the specified information corresponding to the target merchant to the user, specifically including:

determining a desired check-in time, a desired room type for the user;

determining a coupon for the hotel type merchant based on at least one of the desired check-in time and the desired room type, and providing the coupon to the user.

Optionally, before providing the specified information corresponding to the target merchant to the user, the method further comprises:

determining, from at least one of the desired check-in time and the desired room type, an ability of the hotel type merchant furniture to provide a specified product to the user.

and according to the behavior information, determining that the user has not generated a to-be-executed order for the hotel type merchant.

Optionally, providing the specified information corresponding to the target merchant to the user includes:

determining a user representation of the user;

and determining the designated information according to the information of the target merchant and the user portrait, and providing the designated information for the user.

Optionally, determining the designated information according to the information of the target merchant and the user representation specifically includes:

inputting the information of the target merchant and the user portrait into a pre-trained second model to obtain the content of the designated information output by the second model and a providing mode;

and displaying the content of the designated information to the user through the terminal of the user according to the providing mode, wherein the providing mode comprises a sending mode and a displaying mode, and the sending mode comprises short message sending and information pushing.

The present specification provides an apparatus for information provision, the apparatus comprising:

the acquisition module is used for acquiring the behavior information of the user within the past specified duration;

the judging module is used for judging whether the page currently browsed by the user is the page corresponding to the target merchant; judging whether the type of the user is a target user type or not according to the behavior information;

and the providing module is used for monitoring the operation of the user if the judgment results are yes, and providing the specified information corresponding to the target merchant to the user when the change of the currently browsed page of the user is determined according to the operation of the user.

The present specification provides a computer-readable storage medium storing a computer program which, when executed by a processor, implements the above-described information providing method.

The present specification provides an electronic device, which includes a memory, a processor, and a computer program stored in the memory and executable on the processor, and when the processor executes the computer program, the processor implements the above information providing method.

The embodiment of the specification adopts at least one technical scheme which can achieve the following beneficial effects:

the method comprises the steps of firstly obtaining behavior information of a user in a past specified duration, then judging whether a page browsed by the user currently is a page corresponding to a target merchant, judging whether the type of the user is the type of the target user according to the behavior information, finally monitoring the operation of the user if the judging result is yes, and providing the specified information corresponding to the target merchant for the user when the page browsed by the user currently is determined to be changed according to the operation of the user. Through the content, the specification can provide the specified information of the target merchant for the target user type user, so that the specified information provided by the merchant is more pertinent, the range of the specified information provided by the merchant is reduced to a certain extent, the cost of the specified information provided by the merchant is reduced, and the specification provides the specified information for the user when the user leaves the page corresponding to the target merchant, so that the effect of saving the user is achieved based on the specified information.

Drawings

The accompanying drawings, which are included to provide a further understanding of the specification and are incorporated in and constitute a part of this specification, illustrate embodiments of the specification and together with the description serve to explain the specification and not to limit the specification in a non-limiting sense. In the drawings:

fig. 1 is a flowchart of a method for providing information according to an embodiment of the present disclosure;

FIG. 2 is a schematic diagram of an information provider provided by an embodiment of the present disclosure;

fig. 3 is a schematic structural diagram of an information providing apparatus provided in an embodiment of the present disclosure;

fig. 4 is a schematic view of an electronic device implementing a method for providing information according to an embodiment of the present disclosure.

Detailed Description

In order to make the objects, technical solutions and advantages of the present disclosure more clear, the technical solutions of the present disclosure will be clearly and completely described below with reference to the specific embodiments of the present disclosure and the accompanying drawings. It is to be understood that the embodiments described are only a few embodiments of the present disclosure, and not all embodiments. All other embodiments obtained by a person of ordinary skill in the art based on the embodiments in the present specification without any creative effort belong to the protection scope of the present specification.

Generally, in the O2O scenario, a user may obtain offer information about a merchant or a product on a third party platform, and based on the offer information, generate an order online to obtain goods or services provided by the merchant, wherein the product may include both goods and services.

The third-party platform may be an internet platform in the O2O scenario, and specifically may include an e-commerce platform for trading physical or virtual goods, and an Online Travel Agency (OTA) platform for providing services such as lodging, Travel, and the like. The preferential information can be preferential information issued by a third-party platform, the cost of the preferential information can be borne by the third-party platform, the preferential information is mainly provided for all or part of merchants on the third-party platform, the preferential information can also be preferential information issued by a certain merchant, the cost of the preferential information is borne by the merchant, and the preferential information is mainly provided for all or part of products provided by the merchant.

For a certain merchant, especially a hotel type merchant, because the main purpose of issuing the benefit information is to promote consumption of the user, considering practical situations, the reasons that the actual demand of the user for the hotel is low in consumption times, and the like, one of the main factors promoting the user to consume at the merchant is the benefit information, especially the benefit information issued by the merchant. Therefore, the user can browse the page displayed by the merchant on the third-party platform through the terminal, acquire the preferential information issued by the merchant in the page, and generate the order containing the products provided by the merchant based on the preferential information issued by the merchant.

However, any user can obtain the benefit information issued by the merchant in the merchant, that is, the benefit information issued by the merchant is the benefit information with universality for all users, so that the cost for providing the benefit information by the merchant is high. In addition, due to the fact that other merchants providing products of the same type as the merchant exist on the third-party platform, the other merchants can also provide preferential information for the user, and the user wanders between the merchant and the other merchants to select, so that the problem that the preferential information issued by the merchant cannot better attract the user to consume at the merchant occurs.

Accordingly, the present specification provides a method of information provision to partially solve the problems presented above.

The technical solutions provided by the embodiments of the present description are described in detail below with reference to the accompanying drawings.

Fig. 1 is a flowchart of an information providing method provided in an embodiment of the present specification, which may specifically include the following steps:

s100: acquiring the behavior information of the user in the past specified time.

In this specification, a user may browse a page of a merchant on a third-party platform through a terminal, where the terminal may be an intelligent device such as a mobile phone and a computer, and a client of the third-party platform may be installed in the terminal, or the terminal may open the page of the third-party platform through a browser. The method for providing information in this specification may be executed by an electronic device, where the electronic device may include a terminal of a user, may further include a server where a third-party platform is located, and may be a single device or a distributed server composed of multiple devices, and this specification does not limit this.

Since the information providing method provided by the present specification is applicable to any type of merchant in an O2O scenario, for convenience of description, the present specification may take a hotel type merchant as an example to describe a specific implementation flow of the information providing method.

When a user browses a page of a third-party platform through a terminal, behavior information of the user can be obtained, specifically, the behavior information can be behavior information within a specified time before the current time, that is, the current time is time t, the behavior information from time t-n to time t can be obtained, the specified time is n, for example, the behavior information of the user on the third-party platform within the past hour can be obtained, and the specified time is one hour.

The behavior information may include browsing behavior of the user on the third-party platform, for example, browsing times, browsing duration, number of browsed merchants, browsing path, and the like of the user. The browsing times may include the times of browsing the same page by the user, or the times of browsing the same type of product by the user, the browsing duration may include the total duration of browsing each page corresponding to the same merchant by the user, or the total duration of browsing the same type of product by the user, and the number of browsed merchants mainly includes the number of merchants of the same type. Therefore, in this specification, for different merchants, the type to which the merchant belongs and various products provided by the merchant may be determined in advance, and for various products provided by the merchant, the type of the product, the capability of the merchant to provide the product (for example, the inventory amount of the product contained by the merchant, the saleable state of the product, and the like) may be determined, and the browsing path may include a path through which a user enters a page corresponding to the merchant from a top page of a third-party platform, a path through which the user enters a page corresponding to the merchant from a search page corresponding to a keyword after the user inputs the keyword, and a path through which the user enters a page corresponding to the merchant from a page of a certain product. Of course, the browsing behavior may also include other content, such as the type of page browsed by the user, etc., where the type of page may include the type of page containing the products offered by the merchant, the type of page containing the list of merchants, etc. In addition, in the above behavior information, the information about the merchant may be a certain type of merchant in a certain area of a certain city, and preferably, the information may be each merchant of a hotel type in the city where the user is currently located in this specification.

Certainly, the behavior information may also include other behaviors of the user on the third-party platform, for example, behavior information such as inputting characters, and the like, which is not described in detail in this specification.

In addition, the present specification may acquire behavior information of the user within a past specified time period from the user log, may also monitor the operation of the user, acquire a monitoring result within the past specified time period, and may obtain the behavior information of the user according to the monitoring result.

S102: judging whether the page currently browsed by the user is a page corresponding to a target merchant; and judging whether the type of the user is a target user type or not according to the behavior information.

After the behavior information of the user is obtained, the type of the user can be determined according to the behavior information, and whether the user is a target user or not is judged according to the type of the user.

The type of the user can comprise a first user type and a second user type, wherein the first user type is a type capable of providing information, namely, when the type of the user is the first user type, the user can be provided with specified information, and at the moment, the user is a target user; the second user type is a type that does not provide information, that is, when the user type is the second user type, the specified information is not provided to the user, and at this time, the user is not the target user.

Thus, in this specification, when determining the type of user, two factors may be referenced: one aspect is that whether the user wanders in different merchants of the same type or selects in different products of the same type is judged according to the behavior information of the user, wherein the different products of the same type can be provided by the same merchant or different merchants; on the other hand, whether the user generates an order to be executed for the merchant corresponding to the currently browsed page or generates an order to be executed for the product contained in the currently browsed page is judged according to the behavior information of the user, wherein the order to be executed is the order which is generated by the user and is not executed.

Based on the above, in this specification, various ways may be provided to determine the type of the user and determine whether the user is the target user, and in a preferred embodiment, the behavior information may be input into a first model trained in advance to obtain a prediction result output by the first model, and according to the prediction result, it may be determined whether the type of the user is the target user type.

Specifically, the present specification may train a first model in advance, where the first model is configured to determine a type of the user according to the behavior information, after the training of the first model is completed, the behavior information may be input into the first model, characteristics of the behavior information may be extracted by the first model, and a prediction result may be obtained based on the extracted characteristics of the behavior information, where the prediction result may include a result that the user type is the first user type and a result that the user type is the second user type. When the prediction result is that the user type is the first user type, the type of the user can be judged to be the target user type, and when the prediction result is that the user type is the second user type, the type of the user can be judged not to be the target user type. Of course, the prediction result may also be information in other aspects, for example, the prediction result may include a result such as whether the user loiters, when the prediction result is that the user loiters, it may be determined that the type of the user is the target user type, when the prediction result is that the user does not loiter, it may be determined that the type of the user is not the target user type, and the like, and if the prediction structure may include whether the user generates an order to be executed for a merchant or a product in a currently browsed page, when the prediction result is that the order to be executed has not been generated, it may be determined that the type of the user is the target user type, and when the prediction structure is that the order to be executed has been generated, it may be determined that the type of the user is not the target user type. The prediction results provided above are only exemplary descriptions, and are not repeated in this specification.

The first model may be a Machine learning model, and specifically may be a neural network model, a Support Vector Machine (SVM) model, or the like. The training mode used for training the first model may refer to an existing model training mode, for example, a supervised training mode, and the like.

In another preferred embodiment, whether the type of the user is the target user type may be determined based on a preset rule, for example, when a preset condition is satisfied, the type of the user may be determined as the target user type.

Specifically, because the behavior information includes information such as browsing times, browsing duration, the number of browsed merchants, and the like, it can be determined whether the browsing times are greater than a preset time threshold; and/or judging whether the browsing time length is greater than a preset time length threshold value; and/or judging whether the number of browsed merchants is greater than a preset number threshold value; and if the judgment result is greater than the preset threshold, judging that the type of the user is the type of the target user. That is, the preset conditions include that the browsing times are greater than a time threshold, the browsing duration is greater than a duration threshold, and the number of browsed merchants is greater than a number threshold, and when at least one of the preset conditions is met, the type of the user can be determined to be the type of the target user. Since the behavior information may include the type of the browsed page and the like in addition to the above content, the preset condition may further include that the type of the browsed page is a page type including a product provided by the merchant and the like.

It should be noted here that the setting rule is intended to determine whether the type of the user is the target user type, and based on the above description, the user of the target user type is characterized in that the user has wandered in various merchants or various products and the user has not generated an order to be fulfilled with respect to the merchants or products included in the current page, and therefore, in setting the rule, the setting may be performed based on the user characteristics of the target user type. Therefore, the preset conditions may include other conditions besides those listed above, and are not listed here.

When judging whether the user is the target user, whether the page currently browsed by the user is the page corresponding to the target merchant can be judged, that is, whether the merchant contained in the page currently browsed by the user is the target merchant can be judged.

Specifically, in this specification, the target merchant may be a merchant that can provide specific information, where the specific information includes offer information, and therefore, for each merchant, if it is determined that the merchant can provide the offer information to the user, or the merchant has the capability of providing the offer information to the user, it may be determined that the merchant is the target merchant, that is, if the merchant included in the currently viewed page has the capability of providing the offer information, or the merchant can provide the offer information to the user, it may be determined that the merchant included in the currently viewed page is the target merchant.

In addition, the preference information can also be issued by the third-party platform, that is, the designated information corresponding to the target merchant can also be provided to the user by the third-party platform. Therefore, the target merchant may be determined in other manners, specifically, for each merchant, according to the behavior information, if it is determined that the merchant is the intended merchant of the user, the merchant is used as the target merchant, for example, the number of times that the user browses the page corresponding to the merchant may be determined according to the behavior information, when it is determined that the number of times that the user browses the page corresponding to the merchant is greater than the preset number threshold, the merchant may be determined as the target merchant, where the number threshold may be the number threshold described above or an additionally set number threshold, for example, a duration of browsing the page corresponding to the merchant by the user may be determined according to the behavior information, when it is determined that the duration of browsing the page corresponding to the merchant is greater than the preset duration threshold, the merchant may be determined as the target merchant, and similarly, the duration threshold here may be the duration threshold described above, the time length threshold may be set additionally, and of course, besides the number of times and the time length of browsing the page corresponding to the merchant, it may also be determined whether the merchant is the intended merchant of the user based on other information about the merchant.

According to the above example, according to the behavior information of the user, it is determined that the frequency of browsing the page corresponding to the hotel type merchant by the user is greater than the frequency threshold or the browsing duration is greater than the duration threshold, it is determined that the hotel type merchant is the target merchant, or it is determined that all the merchants browsed by the user are hotel type merchants according to the behavior information of the user, and the attribute information of all the hotel type merchants is the same, and the attribute information may include information of an area where the hotel type merchant is located, user evaluation, star rating, and the like, and if the merchant included in the currently browsed page is the hotel type merchant and the attribute information is the same as the attribute information of all the merchants browsed, it can be presumed that the merchant included in the currently browsed page is the target merchant.

S104: and if the judgment result is yes, monitoring the operation of the user, and providing the specified information corresponding to the target merchant to the user when the change of the currently browsed page of the user is determined according to the operation of the user.

After judging whether the currently browsed page of the user is the page corresponding to the target merchant and whether the type of the user is the type of the target user, a result of providing the specified information corresponding to the target merchant for the user can be determined based on the judged result.

Specifically, when it is determined that the page currently browsed by the user is the page corresponding to the target merchant and the type of the user is the target user type, the specified information may be provided to the user, and when it is determined that the page currently browsed by the user is not the page corresponding to the target merchant or the type of the user is not the target user type, the specified information is not provided to the user.

Therefore, the user can be provided with the specified information only by determining that the page currently browsed by the user is the page corresponding to the target merchant according to the judgment result and determining that the type of the user is the type of the target user.

When the specific information is provided for the user, the existing information providing mode is considered that the specific information aiming at all users is issued, so that the specific information is displayed at a certain fixed position in a page corresponding to a merchant, and the cost of issuing the preferential information by a target merchant is reduced, and the consumption of the user at the target merchant is promoted. Therefore, in the present specification, the specific information suitable for the user may be determined according to the information of the user and the information of the target merchant, and the trigger condition for providing the specific information to the user and the provision manner of the specific information may be determined to more effectively promote the consumption of the user at the target merchant.

First, the manner of determination of the specific information corresponding to the target merchant.

Specifically, according to the behavior information, the intention product of the user is determined as the target product in the products provided by the target merchant, and the designated information is determined according to the information of the target product. The specific information corresponding to the target merchant may include the above-mentioned offer information, and the offer information may be in the form of a coupon, or may be in the form of other information, for example, a random red packet. Of course, the present specification may also support the case where the specific information includes other information, for example, the specific information may also include information that assists the user in making a consumption decision, such as quality information of a product provided by the target merchant, a reason for recommending a product provided by the target merchant, and the like.

When determining the target products, the information such as the times and duration of browsing the products by the user can be determined according to the behavior information, the products provided by the target merchants are sorted, and the target products are selected from the products provided by the target merchants according to the sorting result, wherein the number of the target products can be one or more, and the types of the target products can also be one or more, in other words, the target products are actually products selected by the user in a wandering manner. Of course, in addition to determining the target product according to the behavior information of the user, the target product may also be determined according to the information of the target merchant, for example, information such as inventory and sales of each product in the target merchant may be obtained, and each product is sorted according to the information such as inventory and sales of each product, so that the target product is determined based on the sorting result.

When the target merchant is a hotel type merchant, most of the products provided by the hotel type merchant are hotel rooms, hotel dinning and the like, so that the expected check-in time, the expected room type and the like of the user can be determined according to the behavior information of the user, and the target products (namely, the rooms, room services and the like provided by the hotel type merchant) are determined according to the information of the expected check-in room, the expected room type and the like. For example, according to the behavior information, it is determined that the expected check-in time of the user is from a certain day of a month to a certain day of a month of a year, and the expected room type is a standard room type, and then, among the products provided by the hotel type merchant, a relevant product of the standard room type from a certain day of a month to a certain day of a month of a year can be selected as a target product, and the relevant product can include a room, a service corresponding to the room, and the like.

After determining the target product, the providing capability of the target merchant for providing the target product can be determined, and the specified information can be determined according to the providing capability.

The providing capability of the target merchant for providing the target product is determined according to at least one of the inventory quantity of the target product held by the target merchant, the sales condition of the target product by the target merchant, the limited providing condition set by the target merchant for the target product and the like. The target merchant provides the providing capability of the target product, that is, the target merchant can provide the target product, the target merchant cannot provide the target product, and further, the target merchant can provide a limited number of target products. The specific information can be determined according to the providing capability of the target merchant for providing the target product and the preset rule, wherein the preset rule can include that the stronger the providing capability is, the stronger the determined specific information is for promoting the consumption of the user. In addition, the information of the providing capability and the target product can be input into a machine learning model trained in advance, the characteristic information is extracted through the machine learning model, and the designated information is determined based on the extracted characteristic information.

Along the above example, if it is determined that the hotel type merchant is unable to provide the hotel product to the user, i.e., the hotel type merchant is unable to provide the hotel room, hotel service, etc. to the user for the desired check-in time, or the hotel room, hotel service, etc. of the desired room type of the hotel type merchant is not available for sale, then it may be determined that the specified information (i.e., the coupon) is not present, or the coupon is not determined, such that the coupon is not provided to the user, in other words, if it is determined that the hotel type merchant has the capability to provide the specified product to the user, if it is determined that the hotel type merchant does not have the capability to provide the specified product to the user, and the coupon is not provided to the user, depending on at least one of the desired check-in time and the desired room type of the user, the specified product herein may include the target product above.

In addition, whether the user generates an order to be executed for the target merchant or the target product can be judged according to the behavior information of the user, and the specified information is determined according to the judgment result and the information of the target product.

Specifically, according to the behavior information of the user, if the user has already generated an order to be executed for the target merchant, and particularly generates an order to be executed for the target product provided by the target merchant, the specified information may also be undetermined or determined to be null, and if the user has not generated an order to be executed for the target merchant, in a specific case where the user has generated an order to be executed for the target product of another merchant other than the target merchant, the specified information may be determined according to the information of the target product, for example, the specified information may be determined according to the information of the price, the quality, and the like of the target product. Similarly, the determination result, information on the target merchant, information on the target product, and the like may be input to a machine learning model trained in advance, and the machine learning model may output the specific information.

Following the above example, if it is determined that the user has not generated a pending order for a hotel type merchant or generated a pending order for a room of a desired room type for which a check-in time is desired, a coupon may be determined and provided to the user, based on the behavioral information; if it is determined that the user has generated a pending order for a hotel type merchant, the coupon may be determined to not exist or may be undetermined such that the coupon is not provided to the user.

In addition, the user representation may be determined based on the behavioral information, and the designation information may be determined based on the user representation and information of the target merchant.

Specifically, when the user portrait is determined, the user information of the user in the specified dimension can be acquired from the behavior information; extracting user characteristics according to user information of a user in a specified dimension; and determining the user portrait of the user in the specified dimension according to the user characteristics. Where the specified dimension may comprise a user consumption dimension, the user representation of the user in the specified dimension may comprise a user consumption representation, i.e., the user representation may characterize consumption information of the user (e.g., consumption capabilities of the user). Then, the information of the target merchant and the user portrait can be input into a pre-trained second model, and the content and the providing mode of the designated information output by the second model are obtained.

The second model may also be a machine learning model such as a neural network model, an SVM model, etc., and the training of the second model may refer to the existing training mode.

Along the above example, coupons can be determined based on information such as star rating, location, etc. of the hotel type merchant, where user spending ability is related to the strength of the coupon. For example, if it is determined that the user representation characterizes a user's ability to consume less, the coupon's strength of benefit may be increased to facilitate the user's consumption at the hotel type merchant.

Here, it should be noted that, regardless of the specification information obtained by using one or a combination of the above-described modes, the content of the specification information and the mode of providing the specification information can be obtained at the same time. When the designated information is a coupon, the content of the designated information may include information such as a coupon amount, usage rules, and the like of the coupon, wherein the usage rules may include information such as cash back, cash down, full down, stackable use, and expiration date. The specific information can be provided in a short message mode, an information push mode, a popup window mode and the like.

The user is then said to be provided with a trigger condition specifying the information.

In particular, in view of reducing the cost of providing the specific information by the target merchant, especially when the specific information is a coupon, the triggering condition for providing the specific information can be determined, and the specific information can be provided to the user after the triggering condition for providing the specific information is satisfied.

The trigger condition provided in this specification may include a plurality of trigger conditions, a preferred trigger condition is to determine that a page corresponding to a target merchant jumps to another page through a terminal of a User, that is, a page currently browsed by the User changes, and in particular, jumps to another page other than the page corresponding to the target merchant, for example, a page including a product list, a first page of a third-party platform, and the like, and of course, another trigger condition may be that the User performs an operation such as an input in the page corresponding to the currently browsed target merchant, for example, User Generated Content (UGC) about the target merchant or the target product is input through the terminal.

It should be noted that, in the present specification, the specific information may be determined first, and then whether the triggering condition for providing the specific information is satisfied is monitored, or whether the triggering condition for providing the specific information is satisfied is monitored first, and when the triggering condition is satisfied, the specific information is determined, and the specific information is provided to the user.

The way in which the specified information is provided to the user is described at the end.

Specifically, when the designated information is provided for the user, the designated information can be sent to the terminal of the user, and after the terminal of the user receives the designated information, the content of the designated information can be displayed to the user according to the providing mode, so that the user can browse the content of the designated information conveniently, and an order to be executed for a target merchant or a target product provided by the target merchant is generated according to the content of the designated information. The providing mode comprises a sending mode and a displaying mode, the sending mode comprises short message sending and information pushing, and the displaying mode comprises popup window displaying and rolling displaying.

When the specified information is provided for the user, the content of the specified information can be displayed to the user according to the providing mode after the currently browsed page of the user is changed, or the content of the specified information can be displayed to the user according to the providing mode before the currently browsed page of the user is changed, that is, when the currently browsed page is determined to be changed according to the operation of the user, the content of the specified information can be displayed to the user firstly, and then jumping to other pages is performed, for example, the content of the specified information is displayed to the user, and when the displaying duration exceeds a preset displaying duration threshold value, the jumping to other pages is performed automatically, or the user performs the operation again so as to jump to other pages.

Fig. 2 is a schematic diagram of information provision provided in an embodiment of the present disclosure. As shown in fig. 2(a), the page currently browsed by the user is a standard room detail page provided by the merchant, including standard room pictures, room information, etc., since the type of the user is the target user type, and the XX hotel is the target merchant, the browsing duration of the user on the current browsing page exceeds the duration threshold value, and the order to be executed is not generated yet, the operation of the user can be monitored, and when it is determined that the user clicks the return button, i.e., the currently viewed page is changed, the user may be provided with designation information, as shown in fig. 2(b), which is a coupon (a kind of coupon), the coupon saving system is used for providing preferential information of the XX hotel for a user, the information of the saving coupon can comprise information of the amount of the coupon face, the use rule and the like, and the saving coupon can be displayed to the user in a popup window mode so that the user can use the saving coupon to consume in the XX hotel according to the information of the saving coupon.

Based on the information providing method described above, the embodiment of the present specification further provides a schematic structural diagram of an information providing apparatus, as shown in fig. 3.

Fig. 3 is a schematic structural diagram of an information providing apparatus provided in an embodiment of the present specification, where the information providing apparatus includes:

an obtaining module 301, configured to obtain behavior information of a user within a past specified duration;

a judging module 302, configured to judge whether a page currently browsed by the user is a page corresponding to a target merchant; judging whether the type of the user is a target user type or not according to the behavior information;

a providing module 303, configured to monitor an operation of the user if the determination result is yes, and provide, when it is determined that the page currently browsed by the user changes according to the operation of the user, the specified information corresponding to the target merchant to the user.

Through the content, the specification can provide the specified information of the target merchant for the target user type user, so that the specified information provided by the merchant is more pertinent, the range of the specified information provided by the merchant is reduced to a certain extent, the cost of the specified information provided by the merchant is reduced, and the specification provides the specified information for the user when the user leaves the page corresponding to the target merchant, so that the effect of saving the user is achieved based on the specified information.

Optionally, the determining module 302 is specifically configured to input the behavior information into a pre-trained first model, so as to obtain a prediction result output by the first model; and judging whether the type of the user is a target user type or not according to the prediction result.

the determining module 302 is specifically configured to determine whether the browsing frequency is greater than a preset frequency threshold; and/or judging whether the browsing time length is greater than a preset time length threshold value; and/or judging whether the number of browsed merchants is greater than a preset number threshold value; and if the judgment result is greater than the preset threshold, judging that the type of the user is the type of the target user.

Optionally, the providing module 303 is specifically configured to determine, according to the operation of the user, that the page corresponding to the target merchant jumps to another page through the terminal of the user, where the other page includes a page other than the page corresponding to the target merchant.

the providing module 303 is specifically configured to determine a desired check-in time and a desired room type of the user; determining a coupon for the hotel type merchant based on at least one of the desired check-in time and the desired room type, and providing the coupon to the user.

Optionally, the apparatus further comprises: a determination module 304;

the determining module 304 is specifically configured to determine an ability of the hotel type merchant furniture to provide a specified product to the user based on at least one of the desired check-in time and the desired room type.

Optionally, the determining module 304 is specifically configured to determine, according to the behavior information, that the user has not generated a to-be-executed order for the hotel type merchant.

Optionally, the providing module 303 is specifically configured to determine a user representation of the user; and determining the designated information according to the information of the target merchant and the user portrait, and providing the designated information for the user.

Optionally, the providing module 303 is specifically configured to input the information of the target merchant and the user portrait into a pre-trained second model, so as to obtain the content and the providing manner of the specified information output by the second model; and displaying the content of the designated information to the user through the terminal of the user according to the providing mode, wherein the providing mode comprises a sending mode and a displaying mode, and the sending mode comprises short message sending and information pushing.

The present specification also provides a computer readable storage medium, which stores a computer program, and the computer program can be used to execute the information providing method described above.

Based on the information providing method described above, the embodiment of the present specification further provides a schematic structure diagram of the electronic device shown in fig. 4. As shown in fig. 4, at the hardware level, the electronic device includes a processor, an internal bus, a network interface, a memory, and a non-volatile memory, but may also include hardware required for other services. The processor reads the corresponding computer program from the non-volatile memory into the memory and then runs the computer program, so as to implement the information providing method described above.

Of course, besides the software implementation, the present specification does not exclude other implementations, such as logic devices or a combination of software and hardware, and the like, that is, the execution subject of the following processing flow is not limited to each logic unit, and may be hardware or logic devices.

In the 90 s of the 20 th century, improvements in a technology could clearly distinguish between improvements in hardware (e.g., improvements in circuit structures such as diodes, transistors, switches, etc.) and improvements in software (improvements in process flow). However, as technology advances, many of today's process flow improvements have been seen as direct improvements in hardware circuit architecture. Designers almost always obtain the corresponding hardware circuit structure by programming an improved method flow into the hardware circuit. Thus, it cannot be said that an improvement in the process flow cannot be realized by hardware physical modules. For example, a Programmable Logic Device (PLD), such as a Field Programmable Gate Array (FPGA), is an integrated circuit whose Logic functions are determined by programming the Device by a user. A digital system is "integrated" on a PLD by the designer's own programming without requiring the chip manufacturer to design and fabricate application-specific integrated circuit chips. Furthermore, nowadays, instead of manually making an Integrated Circuit chip, such Programming is often implemented by "logic compiler" software, which is similar to a software compiler used in program development and writing, but the original code before compiling is also written by a specific Programming Language, which is called Hardware Description Language (HDL), and HDL is not only one but many, such as abel (advanced Boolean Expression Language), ahdl (alternate Hardware Description Language), traffic, pl (core universal Programming Language), HDCal (jhdware Description Language), lang, Lola, HDL, laspam, hardward Description Language (vhr Description Language), vhal (Hardware Description Language), and vhigh-Language, which are currently used in most common. It will also be apparent to those skilled in the art that hardware circuitry that implements the logical method flows can be readily obtained by merely slightly programming the method flows into an integrated circuit using the hardware description languages described above.

The controller may be implemented in any suitable manner, for example, the controller may take the form of, for example, a microprocessor or processor and a computer-readable medium storing computer-readable program code (e.g., software or firmware) executable by the (micro) processor, logic gates, switches, an Application Specific Integrated Circuit (ASIC), a programmable logic controller, and an embedded microcontroller, examples of which include, but are not limited to, the following microcontrollers: ARC 625D, Atmel AT91SAM, Microchip PIC18F26K20, and Silicone Labs C8051F320, the memory controller may also be implemented as part of the control logic for the memory. Those skilled in the art will also appreciate that, in addition to implementing the controller as pure computer readable program code, the same functionality can be implemented by logically programming method steps such that the controller is in the form of logic gates, switches, application specific integrated circuits, programmable logic controllers, embedded microcontrollers and the like. Such a controller may thus be considered a hardware component, and the means included therein for performing the various functions may also be considered as a structure within the hardware component. Or even means for performing the functions may be regarded as being both a software module for performing the method and a structure within a hardware component.

The systems, devices, modules or units illustrated in the above embodiments may be implemented by a computer chip or an entity, or by a product with certain functions. One typical implementation device is a computer. In particular, the computer may be, for example, a personal computer, a laptop computer, a cellular telephone, a camera phone, a smartphone, a personal digital assistant, a media player, a navigation device, an email device, a game console, a tablet computer, a wearable device, or a combination of any of these devices.

For convenience of description, the above devices are described as being divided into various units by function, and are described separately. Of course, the functions of the various elements may be implemented in the same one or more software and/or hardware implementations of the present description.

As will be appreciated by one skilled in the art, embodiments of the present description may be provided as a method, system, or computer program product. Accordingly, the description may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the description may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.

The description has been presented with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the description. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.

These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.

These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.

In a typical configuration, a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.

The memory may include forms of volatile memory in a computer readable medium, Random Access Memory (RAM) and/or non-volatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM). Memory is an example of a computer-readable medium.

Computer-readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), Static Random Access Memory (SRAM), Dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), Read Only Memory (ROM), Electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), Digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information that can be accessed by a computing device. As defined herein, a computer readable medium does not include a transitory computer readable medium such as a modulated data signal and a carrier wave.

It should also be noted that 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 an … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.

This description may be described in the general context of computer-executable instructions, such as program modules, being executed by a computer. Generally, program modules include routines, programs, objects, components, data structures, etc. that perform particular tasks or implement particular abstract data types. The specification may also be practiced in distributed computing environments where tasks are performed by remote processing devices that are linked through a communications network. In a distributed computing environment, program modules may be located in both local and remote computer storage media including memory storage devices.

The embodiments in the present specification are described in a progressive manner, and the same and similar parts among the embodiments are referred to each other, and each embodiment focuses on the differences from the other embodiments. In particular, for the system embodiment, since it is substantially similar to the method embodiment, the description is simple, and for the relevant points, reference may be made to the partial description of the method embodiment.

The above description is only an example of the present specification, and is not intended to limit the present specification. Various modifications and alterations to this description will become apparent to those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present specification should be included in the scope of the claims of the present specification.

Claims

1. A method of information provision, the method comprising:

acquiring behavior information of a user within a past specified duration;

2. The method of claim 1, wherein determining whether the type of the user is a target user type according to the behavior information specifically includes:

3. The method of claim 1, wherein the behavioral information includes a number of views, a length of time of the views, a number of merchants viewed;

4. The method of claim 1, wherein determining that the page currently browsed by the user changes according to the operation of the user specifically comprises:

5. The method of claim 1, wherein the target merchant comprises a hotel type merchant, the specified information comprises a coupon;

determining a desired check-in time, a desired room type for the user;

6. The method of claim 5, wherein prior to providing the user with the designation information corresponding to the target merchant, the method further comprises:

7. The method of claim 5, wherein prior to providing the user with the designation information corresponding to the target merchant, the method further comprises:

8. The method of claim 1, wherein providing the user with the designation information corresponding to the target merchant comprises:

determining a user representation of the user;

9. The method of claim 8, wherein determining the designated information based on the information of the target merchant and the user representation comprises:

10. An apparatus for information provision, the apparatus comprising:

11. A computer-readable storage medium, characterized in that the storage medium stores a computer program which, when executed by a processor, implements the method of any of the preceding claims 1-9.

12. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor implements the method of any of claims 1-9 when executing the program.