CN113744003A - Prompting method and device - Google Patents
Prompting method and device Download PDFInfo
- Publication number
- CN113744003A CN113744003A CN202010462530.3A CN202010462530A CN113744003A CN 113744003 A CN113744003 A CN 113744003A CN 202010462530 A CN202010462530 A CN 202010462530A CN 113744003 A CN113744003 A CN 113744003A
- Authority
- CN
- China
- Prior art keywords
- information
- article
- abnormal
- display
- item
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000000034 method Methods 0.000 title claims abstract description 52
- 230000002159 abnormal effect Effects 0.000 claims abstract description 154
- 238000012216 screening Methods 0.000 claims abstract description 29
- 238000004590 computer program Methods 0.000 claims description 11
- 238000013145 classification model Methods 0.000 claims description 10
- 239000000126 substance Substances 0.000 claims description 3
- 238000001914 filtration Methods 0.000 abstract description 8
- 238000010586 diagram Methods 0.000 description 9
- 230000005856 abnormality Effects 0.000 description 8
- 230000006870 function Effects 0.000 description 8
- 238000004891 communication Methods 0.000 description 6
- 230000004044 response Effects 0.000 description 6
- 230000003287 optical effect Effects 0.000 description 4
- 230000008569 process Effects 0.000 description 4
- 238000012545 processing Methods 0.000 description 4
- 238000012986 modification Methods 0.000 description 3
- 230000004048 modification Effects 0.000 description 3
- 230000008901 benefit Effects 0.000 description 2
- 238000004364 calculation method Methods 0.000 description 2
- 239000000835 fiber Substances 0.000 description 2
- 230000000644 propagated effect Effects 0.000 description 2
- 239000004065 semiconductor Substances 0.000 description 2
- 230000001680 brushing effect Effects 0.000 description 1
- 238000010276 construction Methods 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 230000004069 differentiation Effects 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 239000004973 liquid crystal related substance Substances 0.000 description 1
- 239000013307 optical fiber Substances 0.000 description 1
- 238000011155 quantitative monitoring Methods 0.000 description 1
- 238000011160 research Methods 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
- 238000012546 transfer Methods 0.000 description 1
- 230000000007 visual effect Effects 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
- G06Q30/06—Buying, selling or leasing transactions
- G06Q30/0601—Electronic shopping [e-shopping]
- G06Q30/0641—Shopping interfaces
- G06Q30/0643—Graphical representation of items or shoppers
Abstract
The invention discloses a prompting method and a prompting device, and relates to the technical field of computers. One embodiment of the method comprises: receiving an article information display request, forming an article information set responding to the article information display request, and screening out a target article information set displayed at a display position based on a pre-configured article abnormal information dimension; and calculating a numerical value of the article abnormal information based on the article abnormal information dimension according to the article information set and the target article information set, and forming prompt information for displaying the article information when the numerical value is not less than a predefined abnormal information threshold value. According to the embodiment, the abnormal information of the articles can be calculated and prompt information can be formed, the data source of the article information is monitored, the proportion of the abnormal commodity information is reduced, the purchasing rate of the displayed article information is improved by filtering the abnormal information of the articles, and the shopping experience of a user is improved.
Description
Technical Field
The invention relates to the technical field of computers, in particular to a prompting method and a prompting device.
Background
The e-commerce application interface generally comprises recommendation positions for recommending commodities, the recommendation positions can be arranged at multiple positions of a home page or other pages of the application, and the detailed data of the recommended commodities are displayed to a user through the recommendation positions of the application.
In the process of implementing the invention, the inventor finds that at least the following problems exist in the prior art:
in providing the commodity data for each recommendation position, due to the fact that the commodity data come from different data sources, abnormal data such as price of 0, no stock, no sale in the area and the like can occur in the commodity data, a user can browse information of the commodity but cannot purchase the commodity, and when the abnormal data account for a large amount, shopping experience of the user is affected.
Disclosure of Invention
In view of this, embodiments of the present invention provide a prompting method and apparatus, which can receive an article information display request, where the article information display request at least includes a user identifier of a client that displays article information; forming an article information set responding to the article information display request, and screening out a target article information set displayed at a display position based on a preset article abnormal information dimension; and calculating a numerical value of the article abnormal information based on the article abnormal information dimension according to the article information set and the target article information set, and forming prompt information for displaying the article information when the numerical value is not less than a predefined abnormal information threshold value. Through calculating the abnormal information of the article and forming the prompt message, the data source of the article information is monitored, the ratio of the abnormal commodity information is reduced, the purchasable rate of the displayed article information is improved through filtering the abnormal information of the article, and the shopping experience of a user is improved.
In order to achieve the above object, according to an aspect of an embodiment of the present invention, there is provided a presentation method, including: receiving an article information display request, wherein the article information display request at least comprises a user identifier of a display article information client; forming an article information set responding to the article information display request, and screening out a target article information set displayed at a display position based on a preset article abnormal information dimension; and calculating a numerical value of the article abnormal information based on the article abnormal information dimension according to the article information set and the target article information set, and forming prompt information for displaying the article information when the numerical value is not less than a predefined abnormal information threshold value.
Optionally, the method of prompting, wherein,
the article information display request also comprises a display position identifier of the display position.
Optionally, the method of prompting, wherein,
forming an item information set responsive to the item information presentation request, comprising:
and forming an item information set responding to the item information display request based on a user characteristic model according to the user identification contained in the item information display request, wherein the item information set contains one or more display position identifications corresponding to the user identification.
Optionally, the method of prompting, wherein,
forming an item information set responsive to the item information presentation request, further comprising:
and respectively forming item information sets which are displayed at the display positions and respond to the item information display request on the basis of a predefined classification model and a user characteristic model according to the display position identification contained in the item information display request.
Optionally, the method of prompting, wherein,
the item anomaly information dimension includes: any one or more of price information abnormity, inventory information abnormity, sales area abnormity and article picture abnormity.
Optionally, the method of prompting, wherein,
screening out a target article information set corresponding to the display position identification based on a pre-configured article abnormal information dimension, wherein the screening comprises the following steps:
and aiming at the display position identifications, presetting the abnormal article information dimensions corresponding to the display position identifications, and respectively screening the target article information sets displayed on the display position identifications on the basis of the corresponding abnormal article information dimensions.
Optionally, the method of prompting, wherein,
according to the item information set and the target item information set, calculating a numerical value of item abnormal information based on the item abnormal information dimension, and when the numerical value is not less than a predefined abnormal information threshold value, forming prompt information for displaying the item information, wherein the prompt information comprises:
and respectively calculating the values of the abnormal article information based on the dimensions of the abnormal article information corresponding to the display position identification according to the article information set corresponding to the display position identification and the target article information set, and respectively forming prompt information of the displayed article information corresponding to the display position identification when the values are not less than a predefined abnormal information threshold value.
In order to achieve the above object, according to a second aspect of the embodiments of the present invention, there is provided a prompting device, including a display request receiving module, a display information forming module, and a prompt information forming module; wherein the content of the first and second substances,
the receiving and displaying request module is used for receiving an article information displaying request, wherein the article information displaying request at least comprises a user identifier of a displayed article information client;
the display information forming module is used for forming an article information set responding to the article information display request, and screening out a target article information set displayed at a display position based on a preset article abnormal information dimension;
and the prompt information forming module is used for calculating the value of the abnormal information of the article based on the dimension of the abnormal information of the article according to the article information set and the target article information set, and forming prompt information for displaying the article information when the value is not less than a predefined abnormal information threshold value.
Optionally, the prompting device, wherein,
the article information display request also comprises a display position identifier of the display position.
Optionally, the prompting device, wherein,
forming an item information set responsive to the item information presentation request, comprising:
and forming an item information set responding to the item information display request based on a user characteristic model according to the user identification contained in the item information display request, wherein the item information set contains one or more display position identifications corresponding to the user identification.
Optionally, the prompting device, wherein,
forming an item information set responsive to the item information presentation request, further comprising:
and respectively forming item information sets which are displayed at the display positions and respond to the item information display request on the basis of a predefined classification model and a user characteristic model according to the display position identification contained in the item information display request.
Optionally, the prompting device, wherein,
the item anomaly information dimension includes: any one or more of price information abnormity, inventory information abnormity, sales area abnormity and article picture abnormity.
Optionally, the prompting device, wherein,
screening out a target article information set displayed at a display position based on a pre-configured article abnormal information dimension, and the screening method comprises the following steps:
and aiming at the display position identification, presetting the abnormal article information dimension corresponding to each display position identification, and respectively screening the target article information set corresponding to each display position identification based on the corresponding abnormal article information dimension.
Optionally, the prompting device, wherein,
according to the item information set and the target item information set, calculating a numerical value of item abnormal information based on the item abnormal information dimension, and when the numerical value is not less than a predefined abnormal information threshold value, forming prompt information for displaying the item information, wherein the prompt information comprises:
and respectively calculating the values of the abnormal article information based on the dimensions of the abnormal article information corresponding to the display position identification according to the article information set corresponding to the display position identification and the target article information set, and respectively forming prompt information of the displayed article information corresponding to the display position identification when the values are not less than a predefined abnormal information threshold value.
To achieve the above object, according to a third aspect of the embodiments of the present invention, there is provided a presentation electronic device, including: one or more processors; a storage device for storing one or more programs which, when executed by the one or more processors, cause the one or more processors to implement a method as claimed in any one of the above mentioned alert methods.
To achieve the above object, according to a fourth aspect of the embodiments of the present invention, there is provided a computer-readable medium on which a computer program is stored, wherein the program, when executed by a processor, implements the method as in any one of the above mentioned prompting methods.
One embodiment of the above invention has the following advantages or benefits: receiving an article information display request, wherein the article information display request at least comprises a user identifier of a display article information client; forming an article information set responding to the article information display request, and screening out a target article information set displayed at a display position based on a preset article abnormal information dimension; and calculating a numerical value of the article abnormal information based on the article abnormal information dimension according to the article information set and the target article information set, and forming prompt information for displaying the article information when the numerical value is not less than a predefined abnormal information threshold value.
Therefore, the embodiment can monitor the data source of the article information by calculating the abnormal information of the article and forming the prompt information, reduces the proportion of the abnormal commodity information, improves the purchasable rate of the displayed article information by filtering the abnormal article information, and improves the shopping experience of the user.
Further effects of the above-mentioned non-conventional alternatives will be described below in connection with the embodiments.
Drawings
The drawings are included to provide a better understanding of the invention and are not to be construed as unduly limiting the invention. Wherein:
fig. 1 is a schematic flow chart of a prompting method according to a first embodiment of the present invention;
fig. 2 is a schematic flowchart of a prompting method according to a second embodiment of the present invention;
fig. 3 is a schematic flowchart of a prompting method according to a third embodiment of the present invention;
FIG. 4 is a schematic diagram of a system architecture for implementing a hinting method according to an embodiment of the present invention;
fig. 5 is a schematic structural diagram of a prompting device according to an embodiment of the present invention;
FIG. 6 is an exemplary system architecture diagram in which embodiments of the present invention may be employed;
fig. 7 is a schematic block diagram of a computer system suitable for use in implementing a terminal device or server of an embodiment of the invention.
Detailed Description
Exemplary embodiments of the present invention are described below with reference to the accompanying drawings, in which various details of embodiments of the invention are included to assist understanding, and which are to be considered as merely exemplary. Accordingly, those of ordinary skill in the art will recognize that various changes and modifications of the embodiments described herein can be made without departing from the scope and spirit of the invention. Also, descriptions of well-known functions and constructions are omitted in the following description for clarity and conciseness.
As shown in fig. 1, an embodiment of the present invention provides a prompting method, which may include the following steps:
step S101: and receiving an article information display request, wherein the article information display request at least comprises a user identifier of a display article information client.
Specifically, an article information display request is received, for example, an article information display request sent by a client is received, where the request is in a format of a hypertext transfer protocol, and is used to obtain recommended article information or advertisement article information to be displayed at a middle position of a home page of the client;
the client is a client application running in different devices and environments, for example, an e-commerce application running on a smart phone, an e-commerce webpage application running based on a computer browser, and the like, and the information of the client includes a used device identifier, geographical location information of the client, a client type, for example, an operating system is android or apple, a version number of the client application, and the like; the user identifier of the client, for example, an account number registered in the client by the user or a user identifier such as a mobile phone number and a micro signal for logging in the client; the article information display request can contain client information, user identification of the client and the like; namely, an article information display request is received, wherein the article information display request at least comprises a user identifier of a client for displaying article information.
The invention does not limit the content contained in the article information display request except the user identification of the client; the invention does not limit the specific content and form of the client information, the user identifier and the display position identifier included in the client.
Step S102: and forming an article information set responding to the article information display request, and screening out a target article information set displayed at the display position based on a pre-configured article abnormal information dimension.
Specifically, an article information display request is received, and an article information set responding to the article information display request is formed according to the request; for example, a request sent by a user through a client for displaying recommended goods or advertised goods is received, and according to specific information in the request, an article information set responding to the article information display request is formed, for example, a commodity information set is formed, wherein the commodity information includes a commodity name, a commodity price, a commodity picture, a commodity sales area, commodity details and the like;
further, screening out a target article information set shown in the display position identification based on a preset article abnormal information dimension;
the item anomaly information dimension includes: any one or more of price information abnormity, inventory information abnormity, sales area abnormity and article picture abnormity;
specifically, an item information set responding to the item information display request is formed, and the item information set has abnormal data of an item, namely a commodity, due to a data source, for example: the price of the commodity is 0 or negative; the inventory of the goods is 0 or negative; the commodities are not sold in the sales area, for example, the fresh commodities define the sales range; abnormal data such as a plurality of commodity pictures are identical;
further, configuring the dimension of the abnormal information of the article in advance, for example, the preset abnormal information of the article includes four dimensions of abnormal price information, abnormal inventory information, abnormal sales area and abnormal image of the article, it can be understood that when data screening is performed based on the four dimensions, data of abnormal price information, abnormal inventory information, abnormal sales area and abnormal image of the article are filtered out, and the dimension of the abnormal information of the article with one dimension, two dimensions and three dimensions is configured as a similar step; that is, the item anomaly information dimension includes: any one or more of price information abnormity, inventory information abnormity, sales area abnormity and article picture abnormity;
further, according to the four dimensions of the article anomaly information dimensions in the above example, data matching with the four dimensions are filtered out from the article information set, and recommended commodity data displayed in the middle position of the home page is acquired, that is, a target article information set displayed in the display position is screened out based on the article anomaly information dimensions configured in advance.
On the other hand, in one embodiment, a display position identifier indicating a display position may be included in the item information display request from the client, that is, the display position identifier for displaying the merchandise is specified by the client. In another embodiment, there may be a server implementing the method to determine the display location identifier for displaying the product, that is, in the response sent by the server to the client, the display location identifier and the target item information are correspondingly indicated.
Step S103: and calculating a numerical value of the article abnormal information based on the article abnormal information dimension according to the article information set and the target article information set, and forming prompt information for displaying the article information when the numerical value is not less than a predefined abnormal information threshold value.
Specifically, according to the steps S101 to S102, the item information set and the target item information set are obtained, and it can be understood that the target item information set is obtained by filtering out item abnormal information from the item information set;
further, according to the item information set and the target item information set, calculating a numerical value of item abnormal information based on the item abnormal information dimension; for example, based on price information abnormality contained in the item abnormality information dimension, comparing the item information set with the target item information set, and calculating the percentage of the quantity of items with abnormal price information in the item information set to the quantity of items in the item information set, for example, the calculation result is 12%, the threshold value of the predefined price information abnormality is 10%, and the percentage of the price information abnormality is known to be not less than the threshold value of the predefined price information abnormality, so that prompt information of the displayed item information displayed in the display position identifier is formed, and a developer obtaining a display position data source is notified, and the source and the data quality of data are checked; similarly, the percentage of data with abnormal inventory information, abnormal sales area and abnormal article picture is calculated, that is, based on the dimension of the article abnormal information, the value of the article abnormal information is calculated, and when the value is not less than the predefined abnormal information threshold value, the prompt information for displaying the article information is formed.
As shown in fig. 2, an embodiment of the present invention provides a prompting method, which may include the following steps:
step S201: receiving an article information display request, wherein the article information display request at least comprises a user identifier of a display article information client;
specifically, the description of receiving the item information display request and the user identifier of the client is consistent with step S101, and is not repeated here.
Step S202: and forming an article information set responding to the article information display request based on a user characteristic model according to the user identification contained in the article information display request, wherein the article information set contains one or more display position identifications corresponding to the user identification, and screening out a target article information set displayed at a display position based on a preset article abnormal information dimension.
Specifically, according to the user identifier included in the item information display request, an item information set responding to the item information display request is formed based on a user characteristic model; the user characteristic model is used for acquiring a historical record of commodities purchased by the user according to the user identification contained in the article information display request, and comprises a historical record of browsing the commodities and a user portrait label of the user; forming an information set of recommended goods or advertisement goods for the user based on the user characteristic model, namely forming an item information set responding to the item information display request based on the user characteristic model according to the user identification contained in the item information display request;
further, the item information set includes one or more display location identifiers corresponding to the user identifier, specifically, the item information set includes one or more display location identifiers for distinguishing different display locations, and includes an item information set corresponding to the display location identifiers;
that is, forming an item information set in response to the item information presentation request includes:
and forming an item information set responding to the item information display request based on a user characteristic model according to the user identification contained in the item information display request, wherein the item information set contains one or more display position identifications corresponding to the user identification.
Further, based on the preset dimension of the abnormal article information, the description of the target article information set screened out and displayed at the display position is consistent with the related content in S102, and is not repeated here.
Step S203: and calculating a numerical value of the article abnormal information based on the article abnormal information dimension according to the article information set and the target article information set, and forming prompt information for displaying the article information when the numerical value is not less than a predefined abnormal information threshold value.
Specifically, the description of step S203 is identical to that of step S103, and is not repeated here.
As shown in fig. 3, an embodiment of the present invention provides a prompting method, which may include the following steps:
step S301: the item information display request from the user identifier further comprises a corresponding display position identifier.
Specifically, the display position is generally indicated by using a character string or a numerical identifier or a combination thereof as the display position identifier, for example, a recommended product or an advertised product is displayed at a middle position of a top page of the client;
in the interface of the same client, at least two positions for displaying recommended goods or advertised goods may be included, for example, a middle position of a home page, a lower position of a shopping cart page, a lower position of a payment success page, a lower position of a user detail page, and the like, each page of one client may include tens of positions for displaying goods, it is understood that, in one client, each display position is distinguished using different display position identifiers, and when the client attempts to acquire recommended goods corresponding to a plurality of display position identifiers, the client may send at least two article information display requests, each of the article information display requests including a corresponding display position identifier.
Namely, the item information display request further includes a display position identifier of the display position.
Step S302: and forming an item information set which is displayed at the display position and responds to the item information display request on the basis of a predefined classification model and a user characteristic model according to the display position identification contained in the item information display request.
Specifically, forming an item information set in response to the item information presentation request includes: and forming an item information set responding to the item information display request based on a user characteristic model according to the user identification contained in the item information display request.
Forming an item information set responsive to the item information presentation request, further comprising:
and respectively forming an item information set which is displayed at the display position and responds to the item information display request on the basis of a predefined classification model and a user characteristic model according to the display position identification contained in each item information display request.
Specifically, in order to better perform commodity recommendation, the recommended commodities displayed are different for each display position in the client; differentiation of recommended commodities is formed according to a predefined classification model and a user characteristic model; the predefined classification model is the function or other classification of different display position attributions defined by the client, such as a home page display position, a shopping cart page display position, a payment page display position, a browsing commodity display position and the like; the user characteristic model is used for carrying out user portrait on user characteristics based on the historical records of the user and obtaining recommended commodities for the user according to the user portrait;
further, different display positions of the client exist in different functional pages of the client, for example, a payment success page and a shopping cart page respectively perform commodity recommendation according to a history of commodity payment and a history of shopping cart placement but non-payment of the user, that is, according to the display position identifier included in each item information display request, based on a predefined classification model and a user characteristic model, a set of item information displayed at the display position and responding to the item information display request is respectively formed.
Step S303: and screening out a target article information set displayed in the display position identification based on a preset article abnormal information dimension.
Specifically, for each display position identifier, the article abnormal information dimension corresponding to each display position identifier is preset, and the target article information set displayed on each display position identifier is respectively screened out based on the abnormal information dimension.
Specifically, as can be seen from the description in step S302, the data sets obtained by combining the user portrait model with the article information display requests sent at different display positions are different, so that the article anomaly information dimension corresponding to each display position identifier is preset for each display position identifier, and the article anomaly information dimension preset for each display position identifier may be different, for example, at the display position of the homepage, the preset article anomaly information dimension includes four dimensions, that is, price information anomaly, inventory information anomaly, sales area anomaly, and article picture anomaly; at the display position of the user details, the preset article abnormal information dimensions comprise three dimensions, namely price information abnormality, inventory information abnormality and article picture abnormality; it can be understood that the corresponding article abnormal information dimension is set for the function classification and the user portrait of each display position, and the specific setting of the article abnormal information dimension is not limited; further, each display position is used for brushing out a target display article information set by utilizing the preset article abnormal information dimension based on the obtained article information set;
specifically, for each display position identifier, the article abnormal information dimension corresponding to each display position identifier is preset, and based on the abnormal information dimension, the target article information set corresponding to each display position identifier is respectively screened out.
Step S304: and calculating a numerical value of the article abnormal information based on the article abnormal information dimension according to the article information set and the target article information set, and forming prompt information for displaying the article information when the numerical value is not less than a predefined abnormal information threshold value.
Further, according to the article information set corresponding to each display position identifier and the target article information set, respectively calculating a numerical value of article abnormal information based on the article abnormal information dimension corresponding to each display position identifier, and when the numerical value is not less than a predefined abnormal information threshold value, respectively forming prompt information of the displayed article information corresponding to the display position identifier.
Specifically, as shown in steps S302 to S303, for each display position, the formed article information sets are different, the preset article anomaly information dimensions may be different, and the target display information sets obtained by screening are also different; therefore, according to the article information set corresponding to each display position identifier and the target article information set, respectively calculating a numerical value of article abnormal information based on the article abnormal information dimension corresponding to each display position identifier, and when the numerical value is not less than a predefined abnormal information threshold value, respectively forming prompt information of the displayed article information corresponding to the display position identifier;
further, the numerical value and the proportion of abnormal data can be calculated by summarizing the data sets before and after filtering of each display position, quantitative monitoring of the quality of commodity data of a certain user is obtained, and prompt information is formed when the quality is not less than a predefined threshold value.
As shown in fig. 4, an embodiment of the present invention provides an implementation process of a prompting method, where the method may include the following steps:
step S401: and the user sends a recommendation data request through the client.
Specifically, a user sends an article information display request through a client, wherein the article information display request at least comprises a user identifier of the article information display client;
the description of receiving the item information display request, the client information, and the user identifier included in the client is consistent with step S101, and is not repeated here.
Step S402: the middleware server obtains and filters the request for recommended data.
The method comprises the steps that a middleware server receives an article information display request, wherein the article information display request at least comprises a user identifier of a displayed article information client;
forming an article information set responding to the article information display request, and screening out a target article information set displayed in the display position identifier based on a pre-configured article abnormal information dimension;
the item anomaly information dimension includes: any one or more of price information abnormity, inventory information abnormity, sales area abnormity and article picture abnormity.
Forming an item information set responsive to the item information presentation request, comprising:
and forming an item information set responding to the item information display request based on a user characteristic model according to the user identification contained in the item information display request.
Further, forming an item information set in response to the item information presentation request, further comprises: and respectively forming an item information set which is displayed at the display position and responds to the item information display request on the basis of a predefined classification model and a user characteristic model according to the display position identification contained in each item information display request.
There are two ways to form the item information set presented at the presentation location in response to the item information presentation request:
the first method comprises the following steps: the display position identification indicating the display position may be included in the item information display request from the client, that is, the display position identification for displaying the commodity is specified by the client;
the second method comprises the following steps: the display position identifier for displaying the commodity can be determined by the server implementing the method, that is, the display position identifier and the target item information are correspondingly indicated in the response sent to the client by the server.
Step S403: and the middleware server reports the data before and after filtering to the data cluster.
Preferably, the middleware server reports each piece of data before and after filtering to the data cluster by using a User Datagram Protocol (UDP); the set of data may be one page of the recommended commodity in a certain display position or all the recommended commodities in a certain display position, and whether the item information display request designed by the client is determined according to the page number or not is determined according to the page.
Step S404: and calculating abnormal data by the data cluster, forming prompt information according to the threshold value, and sending the prompt information to the research personnel of the middleware.
And calculating a numerical value of the article abnormal information based on the article abnormal information dimension according to the article information set and the target article information set, and forming prompt information for displaying the article information when the numerical value is not less than a predefined abnormal information threshold value.
Screening out a target article information set displayed in the display position identification based on a preset article abnormal information dimension, wherein the screening comprises the following steps:
and presetting the abnormal article information dimension corresponding to each display position identifier for each display position identifier, and respectively screening the target article information set displayed on each display position identifier based on the abnormal article information dimension.
According to the item information set and the target item information set, calculating a numerical value of item abnormal information based on the item abnormal information dimension, and when the numerical value is not less than a predefined abnormal information threshold value, forming prompt information for displaying the item information, wherein the prompt information comprises:
and respectively calculating the value of the abnormal article information based on the dimension of the abnormal article information corresponding to each display position identifier according to the article information set corresponding to each display position identifier and the target article information set, and respectively forming prompt information of the displayed article information corresponding to the display position identifier when the value is not less than a predefined abnormal information threshold value.
The data cluster can comprise a big data distributed file system, data reported by the middleware server are stored in a disk, and the numerical value of the abnormal information of the article of each recommendation bit is calculated by utilizing a calculation data engine, such as spark, and comprises an invaluable rate, a non-commodity rate, a temporary non-support sale rate, a same graph rate and the like; further, the server can provide a numerical value for displaying the abnormal information of the article in a graphical mode, such as a data graph, and can configure a visual page of prompt information; or sending short messages and mails to corresponding developers for prompting according to a predefined trigger rule, for example, when the goods availability is more than 50%.
It can be understood that the implementation manner of this embodiment is one of the background server architectures, and the present invention does not limit the specific architecture and technology applied to the server for processing the information of the displayed article and calculating the abnormal information of the article.
As shown in fig. 5, an embodiment of the present invention provides a prompting device 500, including: a receiving display request module 501, a forming display information module 502 and a forming prompt information module 503; wherein the content of the first and second substances,
the display request receiving module 501 is configured to receive an article information display request, where the article information display request at least includes a user identifier of a client that displays article information;
the display information forming module 502 is configured to form an article information set responding to the article information display request, and screen out a target article information set displayed at a display position based on a pre-configured article abnormal information dimension;
the prompt information forming module 503 is configured to calculate a value of the article abnormal information based on the article abnormal information dimension according to the article information set and the target article information set, and form prompt information for displaying the article information when the value is not less than a predefined abnormal information threshold.
Optionally, the module 501 for receiving a display request includes that the item information display request further includes a display location identifier of the display location.
Optionally, the form display information module 502 is configured to form an item information set responding to the item information display request, including:
and forming an item information set responding to the item information display request based on a user characteristic model according to the user identification contained in the item information display request, wherein the item information set contains one or more display position identifications corresponding to the user identification.
Optionally, the form display information module 502 is configured to form an item information set responding to the item information display request, and further includes:
and respectively forming item information sets which are displayed at the display positions and respond to the item information display request on the basis of a predefined classification model and a user characteristic model according to the display position identification contained in the item information display request.
Optionally, the forming display information module 502, including the item anomaly information dimension, includes: any one or more of price information abnormity, inventory information abnormity, sales area abnormity and article picture abnormity.
Optionally, the form display information module 502 is configured to filter out a target item information set displayed in the display location identifier based on a preconfigured item abnormal information dimension, and includes:
and aiming at the display position identifications, presetting the abnormal article information dimensions corresponding to the display position identifications, and respectively screening the target article information sets displayed on the display position identifications on the basis of the corresponding abnormal article information dimensions.
Optionally, the forming a prompt message module 503 is configured to calculate a value of the article abnormal information based on the article abnormal information dimension according to the article information set and the target article information set, and when the value is not less than a predefined abnormal information threshold, form a prompt message for displaying the article information, where the prompt message includes:
and respectively calculating the values of the abnormal article information based on the dimensions of the abnormal article information corresponding to the display position identification according to the article information set corresponding to the display position identification and the target article information set, and respectively forming prompt information of the displayed article information corresponding to the display position identification when the values are not less than a predefined abnormal information threshold value.
An embodiment of the present invention further provides a prompt electronic device, including: one or more processors; the storage device is used for storing one or more programs, and when the one or more programs are executed by the one or more processors, the one or more processors are enabled to realize the method provided by any one of the above embodiments.
Embodiments of the present invention further provide a computer-readable medium, on which a computer program is stored, where the computer program, when executed by a processor, implements the method provided in any of the above embodiments.
Fig. 6 illustrates an exemplary system architecture 600 to which a hinting method or hinting apparatus of an embodiment of the invention may be applied.
As shown in fig. 6, the system architecture 600 may include terminal devices 601, 602, 603, a network 604, and a server 605. The network 604 serves to provide a medium for communication links between the terminal devices 601, 602, 603 and the server 605. Network 604 may include various types of connections, such as wire, wireless communication links, or fiber optic cables, to name a few.
A user may use the terminal devices 601, 602, 603 to interact with the server 605 via the network 604 to receive or send messages or the like. The terminal devices 601, 602, 603 may have various client applications installed thereon, such as a shopping application, a web browser application, a search-class application, an instant messaging tool, a mailbox client, and the like.
The terminal devices 601, 602, 603 may be various electronic devices having a display screen and supporting web browsing and running of various applications, including but not limited to smart phones, tablet computers, laptop portable computers, desktop computers, and the like.
The server 605 may be a server that provides various services, such as a background management server that supports shopping websites browsed by users using the terminal devices 601, 602, and 603. The background management server can filter and analyze the received data such as the article information display request and feed back the article information set to the terminal equipment.
It should be noted that the prompting method provided by the embodiment of the present invention is generally executed by the server 605, and accordingly, the prompting device is generally disposed in the server 605.
It should be understood that the number of terminal devices, networks, and servers in fig. 6 is merely illustrative. There may be any number of terminal devices, networks, and servers, as desired for implementation.
Referring now to FIG. 7, shown is a block diagram of a computer system 700 suitable for use with a terminal device implementing an embodiment of the present invention. The terminal device 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 invention.
As shown in fig. 7, the computer system 700 includes a Central Processing Unit (CPU)701, which can perform various appropriate actions and processes in accordance with a program stored in a Read Only Memory (ROM)702 or a program loaded from a storage section 708 into a Random Access Memory (RAM) 703. In the RAM 703, various programs and data necessary for the operation of the system 700 are also stored. The CPU 701, the ROM 702, and the RAM 703 are connected to each other via a bus 704. An input/output (I/O) interface 705 is also connected to bus 704.
The following components are connected to the I/O interface 705: an input portion 706 including a keyboard, a mouse, and the like; an output section 707 including a display such as a Cathode Ray Tube (CRT), a Liquid Crystal Display (LCD), and the like, and a speaker; a storage section 708 including a hard disk and the like; and a communication section 709 including a network interface card such as a LAN card, a modem, or the like. The communication section 709 performs communication processing via a network such as the internet. A drive 710 is also connected to the I/O interface 705 as needed. A removable medium 711 such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, or the like is mounted on the drive 710 as necessary, so that a computer program read out therefrom is mounted into the storage section 708 as necessary.
In particular, according to the embodiments of the present disclosure, the processes described above with reference to the flowcharts may be implemented as computer software programs. For example, embodiments of the present disclosure include a computer program product comprising a computer program embodied on a computer readable medium, the computer program comprising program code for performing the method illustrated in the flow chart. In such an embodiment, the computer program can be downloaded and installed from a network through the communication section 709, and/or installed from the removable medium 711. The computer program performs the above-described functions defined in the system of the present invention when executed by the Central Processing Unit (CPU) 701.
It should be noted that the computer readable medium shown in the present invention can be a computer readable signal medium or a computer readable storage medium or any combination of the two. A computer 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 of the computer readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer diskette, 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. In the present invention, a computer 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. In the present invention, however, a computer readable signal medium may include a propagated data signal with computer 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 computer readable signal medium may also be any computer readable medium that is not a computer 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 computer readable medium may be transmitted using any appropriate medium, including but not limited to: wireless, wire, fiber optic cable, RF, etc., or any suitable combination of the foregoing.
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 invention. 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 modules and/or units described in the embodiments of the present invention may be implemented by software, and may also be implemented by hardware. The described modules and/or units may also be provided in a processor, and may be described as: a processor includes a receive display request module, a form display information module, and a form hint information module. Where the names of these modules do not in some cases constitute a limitation on the module itself, for example, a module forming display information may also be described as a "module screening a set of display item information to form a target set of items according to a preconfigured dimension of exception information".
As another aspect, the present invention also provides a computer-readable medium that may be contained in the apparatus described in the above embodiments; or may be separate and not incorporated into the device. The computer readable medium carries one or more programs which, when executed by a device, cause the device to comprise: receiving an article information display request, wherein the article information display request at least comprises a user identifier of a display article information client; forming an article information set responding to the article information display request, and screening out a target article information set displayed at a display position based on a preset article abnormal information dimension; and calculating a numerical value of the article abnormal information based on the article abnormal information dimension according to the article information set and the target article information set, and forming prompt information for displaying the article information when the numerical value is not less than a predefined abnormal information threshold value.
According to the technical scheme of the embodiment of the invention, the data source of the article information can be monitored by calculating the article abnormal information and forming the prompt information, so that the ratio of the abnormal commodity information is reduced, the purchasable rate of the displayed article information is improved by filtering the article abnormal information, and the shopping experience of a user is improved.
The above-described embodiments should not be construed as limiting the scope of the invention. Those skilled in the art will appreciate that various modifications, combinations, sub-combinations, and substitutions can occur, depending on design requirements and other factors. Any modification, equivalent replacement, and improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (10)
1. A method of prompting, comprising:
receiving an article information display request, wherein the article information display request at least comprises a user identifier of a display article information client;
forming an article information set responding to the article information display request, and screening out a target article information set displayed at a display position based on a preset article abnormal information dimension;
and calculating a numerical value of the article information based on the article abnormal information dimension according to the article information set and the target article information set, and forming prompt information for displaying the article information when the numerical value is not less than a predefined abnormal information threshold value.
2. The method of claim 1,
the article information display request also comprises a display position identifier of the display position.
3. The method according to claim 1 or 2,
forming an item information set responsive to the item information presentation request, comprising:
and forming an item information set responding to the item information display request based on a user characteristic model according to the user identification contained in the item information display request, wherein the item information set contains one or more display position identifications corresponding to the user identification.
4. The method of claim 3,
forming an item information set responsive to the item information presentation request, further comprising:
and respectively forming item information sets which are displayed at the display positions and respond to the item information display request on the basis of a predefined classification model and a user characteristic model according to the display position identification contained in the item information display request.
5. The method of claim 4,
the item anomaly information dimension includes: any one or more of price information abnormity, inventory information abnormity, sales area abnormity and article picture abnormity.
6. The method of claim 5,
screening out a target article information set displayed at a display position based on a pre-configured article abnormal information dimension, and the screening method comprises the following steps:
and aiming at the display position identifications, presetting the abnormal article information dimensions corresponding to the display position identifications, and respectively screening the target article information sets displayed on the display position identifications on the basis of the corresponding abnormal article information dimensions.
7. The method of claim 6,
according to the item information set and the target item information set, calculating a numerical value of item abnormal information based on the item abnormal information dimension, and when the numerical value is not less than a predefined abnormal information threshold value, forming prompt information for displaying the item information, wherein the prompt information comprises:
and respectively calculating the values of the abnormal article information based on the dimensions of the abnormal article information corresponding to the display position identification according to the article information set corresponding to the display position identification and the target article information set, and respectively forming prompt information of the displayed article information corresponding to the display position identification when the values are not less than a predefined abnormal information threshold value.
8. A reminder device, comprising: the display information forming module is used for receiving a display request module and forming a display information module and a prompt information forming module; wherein the content of the first and second substances,
the receiving and displaying request module is used for receiving an article information displaying request, wherein the article information displaying request at least comprises a user identifier of a displayed article information client;
the display information forming module is used for forming an article information set responding to the article information display request, and screening out a target article information set displayed at a display position based on a preset article abnormal information dimension;
and the prompt information forming module is used for calculating the value of the abnormal information of the article based on the dimension of the abnormal information of the article according to the article information set and the target article information set, and forming prompt information for displaying the article information when the value is not less than a predefined abnormal information threshold value.
9. An electronic device, comprising:
one or more processors;
a storage device for storing one or more programs,
when executed by the one or more processors, cause the one or more processors to implement the method of any one of claims 1-7.
10. A computer-readable medium, on which a computer program is stored, which, when being executed by a processor, carries out the method according to any one of claims 1-7.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010462530.3A CN113744003A (en) | 2020-05-27 | 2020-05-27 | Prompting method and device |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010462530.3A CN113744003A (en) | 2020-05-27 | 2020-05-27 | Prompting method and device |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN113744003A true CN113744003A (en) | 2021-12-03 |
Family
ID=78723800
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202010462530.3A Pending CN113744003A (en) | 2020-05-27 | 2020-05-27 | Prompting method and device |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN113744003A (en) |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106959842A (en) * | 2016-01-08 | 2017-07-18 | 阿里巴巴集团控股有限公司 | A kind of information cuing method and device |
| CN109862189A (en) * | 2019-02-25 | 2019-06-07 | 维沃移动通信有限公司 | A kind of reminding method, device and mobile terminal |
| CN110096531A (en) * | 2019-04-24 | 2019-08-06 | 上海易点时空网络有限公司 | Data analysing method and device for on-line shop's operation |
| CN110109804A (en) * | 2019-05-15 | 2019-08-09 | 北京字节跳动网络技术有限公司 | Show information landing page abnormality monitoring method, device, readable medium and server |
| CN110796552A (en) * | 2019-10-31 | 2020-02-14 | 维沃移动通信有限公司 | Risk prompting method and device |
| CN110895898A (en) * | 2018-09-13 | 2020-03-20 | 阿里巴巴集团控股有限公司 | Information display method, device and equipment and electronic price tag |
-
2020
- 2020-05-27 CN CN202010462530.3A patent/CN113744003A/en active Pending
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106959842A (en) * | 2016-01-08 | 2017-07-18 | 阿里巴巴集团控股有限公司 | A kind of information cuing method and device |
| CN110895898A (en) * | 2018-09-13 | 2020-03-20 | 阿里巴巴集团控股有限公司 | Information display method, device and equipment and electronic price tag |
| CN109862189A (en) * | 2019-02-25 | 2019-06-07 | 维沃移动通信有限公司 | A kind of reminding method, device and mobile terminal |
| CN110096531A (en) * | 2019-04-24 | 2019-08-06 | 上海易点时空网络有限公司 | Data analysing method and device for on-line shop's operation |
| CN110109804A (en) * | 2019-05-15 | 2019-08-09 | 北京字节跳动网络技术有限公司 | Show information landing page abnormality monitoring method, device, readable medium and server |
| CN110796552A (en) * | 2019-10-31 | 2020-02-14 | 维沃移动通信有限公司 | Risk prompting method and device |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN107665225B (en) | Information pushing method and device | |
| US10839000B2 (en) | Presentations and reports built with data analytics | |
| US10521446B2 (en) | System and method for dynamically refactoring business data objects | |
| US20190121669A1 (en) | Executing tasks using modular and intelligent code and data containers | |
| CN110020162B (en) | User identification method and device | |
| US10318546B2 (en) | System and method for test data management | |
| US10120888B2 (en) | Automated task execution based on task criteria | |
| US11756088B2 (en) | Displaying listings based on listing activity | |
| US11593841B2 (en) | Promotional system interaction tracking | |
| US20130311332A1 (en) | Customized marketing | |
| CN107977876B (en) | Method and device for processing order information | |
| CN111415168A (en) | Transaction warning method and device | |
| CN109474884B (en) | Data processing method and system | |
| CN113744003A (en) | Prompting method and device | |
| CN110895777A (en) | Method and device for processing overtime service list | |
| CN112989175A (en) | Article pushing method, device, equipment and medium | |
| CN111488537A (en) | Page display method and device | |
| CN111861293A (en) | Method and apparatus for transmitting information | |
| JP7428857B2 (en) | Information processing device, information processing method, and information processing program | |
| CN110751496A (en) | Commodity price detection method and device | |
| US20180330458A1 (en) | Frameworks and Methodologies Configured to Enable Management of Lost Property, for Example in School | |
| CN110659933B (en) | Method and device for generating balance tailed recommendation content | |
| JP7026307B1 (en) | Monitoring systems, monitoring methods, and computer programs | |
| CN115330488A (en) | Display method and device for service store | |
| KR20230028054A (en) | Method and apparatus for providing subscription service |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |