CN109767278B - Method and apparatus for outputting information - Google Patents
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- CN109767278B CN109767278B CN201711096374.8A CN201711096374A CN109767278B CN 109767278 B CN109767278 B CN 109767278B CN 201711096374 A CN201711096374 A CN 201711096374A CN 109767278 B CN109767278 B CN 109767278B
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Abstract
Methods and apparatus for outputting information are disclosed. One embodiment of the method comprises: receiving a set of logs for a predetermined time of a target application, the logs comprising: the system comprises a user identification, picture information of browsed article pictures, picture information of collocated article pictures, and a shop identification of a shop to which the browsed article pictures belong; determining the browsing quantity of the article pictures of a single user in unit time; determining the matching quantity of the article pictures of a single user in unit time; determining the browsing amount of the shop of a single user in unit time; and outputting preset first information in response to the fact that the first weighted sum of the browsing quantity of the item pictures per unit time of the single user, the matching quantity of the item pictures per unit time of the single user and the browsing quantity of the shop per unit time of the single user is larger than a preset first threshold value. The embodiment can output the use effect of the target application.
Description
Technical Field
The embodiment of the application relates to the technical field of computers, in particular to the technical field of internet, and particularly relates to a method and a device for outputting information.
Background
The display effect of the article can be seen through virtual trial. For example, furniture, wallpaper, carpets and the like are displayed in a virtual room, and the problem that the clothes are not visual enough when being purchased on line can be solved through virtual fitting. The virtual clothes-fitting buyer can see the effect of clothes on the body of the user, and theoretically, the virtual clothes-fitting buyer can better help the user to accurately select clothes.
Disclosure of Invention
The embodiment of the application provides a method and a device for outputting information.
In a first aspect, an embodiment of the present application provides a method for outputting information, including: receiving a log set within a predetermined time of a target application, wherein the logs in the log set comprise: the system comprises a user identification, picture information of browsed article pictures, picture information of collocated article pictures, and a shop identification of a shop to which the browsed article pictures belong; determining the number of first users browsing the article pictures and the browsing quantity of the article pictures and determining the browsing quantity of the article pictures per unit time of a single user according to the user identification in each log in the log set and the picture information of the browsed article pictures; determining the number of second users collocating the article pictures and the collocation number of the article pictures according to the user identification in each log in the log set and the picture information of the collocated article pictures, and determining the collocation number of the article pictures of a single user in unit time; determining the number of shops of the shops to which the browsed article pictures belong and determining the browsing amount of the shops per unit time of a single user according to the shop identification of the shop to which the browsed article pictures belong in each log in the log set; and outputting preset first information in response to the fact that the first weighted sum of the browsing quantity of the item pictures per unit time of the single user, the matching quantity of the item pictures per unit time of the single user and the browsing quantity of the shop per unit time of the single user is larger than a preset first threshold value.
In some embodiments, at least one log in the set of logs further comprises: combining the picture information of the purchased article and a store identification of a store to which the combined purchased article belongs; and the method further comprises: determining the number of third users combined and purchased in the same shop according to the picture information of the combined and purchased articles in at least one log and the shop identification of the shop to which the combined and purchased articles belong, and determining the matching success rate in the same shop according to the number of the third users and the number of the first users; determining the number of fourth users purchased in different shops in a combined manner according to the picture information of the combined purchased articles in at least one log and the shop identification of the shop to which the combined purchased articles belong, and determining the cross-shop matching success rate according to the number of the fourth users and the number of the first users; and outputting preset second information in response to the fact that the second weighted sum of the matching success rate in the same shop and the cross-shop matching success rate is larger than a preset second threshold value.
In some embodiments, the at least one log further comprises: picture information of purchased articles and picture information of returned articles; and the method further comprises: determining the number of fifth users who purchase and the number of sixth users who return goods according to the picture information of the purchased goods and the picture information of the returned goods in the at least one log, and determining a return rate; and if the goods returning rate is smaller than a preset third threshold value, outputting preset third information.
In some embodiments, the method further comprises: determining a quotient of the sum of the matching success rate in the same shop and the cross-shop matching power and the goods return rate as the matching power; and if the collocation success rate is greater than a preset fourth threshold value, outputting preset second information.
In some embodiments, the method further comprises: the collocation success rate corresponds to a preset sixth weight; and the method further comprises: determining a third weighted sum of the browsing quantity of the article pictures of a single user in unit time, the matching quantity of the article pictures of the single user in unit time, the browsing quantity of the stores of the single user in unit time, the cross store matching success rate and the matching success rate; and if the third weighted sum is larger than a preset fifth threshold value, outputting preset fifth information.
In a second aspect, an embodiment of the present application provides an apparatus for outputting information, including: a receiving unit, configured to receive a log set within a predetermined time of a target application, wherein a log in the log set includes: the system comprises a user identification, picture information of browsed article pictures, picture information of collocated article pictures, and a shop identification of a shop to which the browsed article pictures belong; the picture determining unit is configured to determine the number of first users browsing the article pictures and the browsing quantity of the article pictures according to the user identification in each log in the log set and the picture information of the browsed article pictures, and determine the browsing quantity of the article pictures of a single user in unit time; the collocation determining unit is configured for determining the number of second users collocating the article pictures and the collocation number of the article pictures according to the user identification in each log in the log set and the picture information of the collocated article pictures, and determining the collocation number of the article pictures of a single user in unit time; a store determining unit configured to determine the number of stores to which the browsed item pictures belong and determine the per-user-unit-time store browsing amount according to the store identification of the store to which the browsed item pictures belong in each log in the log set; and the output unit is configured for responding to the fact that the first weighted sum of the item picture browsing amount of the single user unit time, the item picture matching amount of the single user unit time and the shop browsing amount of the single user unit time is larger than a preset first threshold value, and outputting preset first information.
In some embodiments, at least one log in the set of logs further comprises: combining the picture information of the purchased article and a store identification of a store to which the combined purchased article belongs; and the store determination unit is further configured to: determining the number of third users combined and purchased in the same shop according to the picture information of the combined and purchased articles in at least one log and the shop identification of the shop to which the combined and purchased articles belong, and determining the matching success rate in the same shop according to the number of the third users and the number of the first users; determining the number of fourth users purchased in different shops in a combined manner according to the picture information of the combined purchased articles in at least one log and the shop identification of the shop to which the combined purchased articles belong, and determining the cross-shop matching success rate according to the number of the fourth users and the number of the first users; and outputting preset second information in response to the fact that the second weighted sum of the matching success rate in the same shop and the cross-shop matching success rate is larger than a preset second threshold value.
In some embodiments, the at least one log further comprises: picture information of purchased articles and picture information of returned articles; and the apparatus further comprises a return determination unit configured to: determining the number of fifth users who purchase and the number of sixth users who return goods according to the picture information of the purchased goods and the picture information of the returned goods in the at least one log, and determining a return rate; and if the goods returning rate is smaller than a preset third threshold value, outputting preset third information.
In some embodiments, the store determination unit is further configured to: determining a quotient of the sum of the matching success rate in the same shop and the cross-shop matching power and the goods return rate as the matching power; and if the collocation success rate is greater than a preset fourth threshold value, outputting preset second information.
In some embodiments, the collocation success rate corresponds to a preset sixth weight; and the output unit is further configured to: determining a third weighted sum of the browsing quantity of the article pictures of a single user in unit time, the matching quantity of the article pictures of the single user in unit time, the browsing quantity of the stores of the single user in unit time, the cross store matching success rate and the matching success rate; and if the third weighted sum is larger than a preset fifth threshold value, outputting preset fifth information.
In a third aspect, an embodiment of the present application provides a server, including: one or more processors; storage means for storing one or more programs which, when executed by one or more processors, cause the one or more processors to carry out a method according to any one of the first aspect.
In a fourth aspect, the present application provides a computer-readable storage medium, on which a computer program is stored, wherein the program, when executed by a processor, implements the method according to any one of the first aspect.
According to the method and the device for outputting the information, the exposure rate of the target application is determined by collecting the relevant data for browsing and matching the picture through the target application, and if the exposure rate reaches the expected exposure rate, the preset first information is output. The embodiment can output the use effect of the target application.
Drawings
Other features, objects and advantages of the present application will become more apparent upon reading of the following detailed description of non-limiting embodiments thereof, made with reference to the accompanying drawings in which:
FIG. 1 is an exemplary system architecture diagram in which the present application may be applied;
FIG. 2 is a flow diagram for one embodiment of a method for outputting information, in accordance with the present application;
FIG. 3 is a schematic diagram of an application scenario of a method for outputting information according to the present application;
FIG. 4 is a flow diagram of yet another embodiment of a method for outputting information according to the present application;
FIG. 5 is a schematic block diagram illustrating one embodiment of an apparatus for outputting information according to the present application;
FIG. 6 is a schematic block diagram of a computer system suitable for use in implementing a server according to embodiments of the present application.
Detailed Description
The present application will be described in further detail with reference to the following drawings and examples. It is to be understood that the specific embodiments described herein are merely illustrative of the relevant invention and not restrictive of the invention. It should be noted that, for convenience of description, only the portions related to the related invention are shown in the drawings.
It should be noted that the embodiments and features of the embodiments in the present application may be combined with each other without conflict. The present application will be described in detail below with reference to the embodiments with reference to the attached drawings.
Fig. 1 shows an exemplary system architecture 100 to which embodiments of the present method for outputting information or apparatus for outputting information may be applied.
As shown in fig. 1, the system architecture 100 may include terminal devices 101, 102, 103, a network 104, and a server 105. The network 104 serves as a medium for providing communication links between the terminal devices 101, 102, 103 and the server 105. Network 104 may include various connection types, such as wired, wireless communication links, or fiber optic cables, to name a few.
The user may use the terminal devices 101, 102, 103 to interact with the server 105 via the network 104 to receive or send messages or the like. Various communication client applications, such as a virtual fitting application, a web browser application, a shopping application, a search application, an instant messaging tool, a mailbox client, social platform software, and the like, may be installed on the terminal devices 101, 102, 103.
The terminal devices 101, 102, 103 may be various electronic devices having a display screen and supporting web browsing, including but not limited to smart phones, tablet computers, e-book readers, MP3 players (Moving Picture Experts Group Audio Layer III, mpeg compression standard Audio Layer 3), MP4 players (Moving Picture Experts Group Audio Layer IV, mpeg compression standard Audio Layer 4), laptop portable computers, desktop computers, and the like.
The server 105 may be a server providing various services, such as a background virtual trial server providing support for virtual trial pages displayed on the terminal devices 101, 102, 103. The background virtual trial server may analyze and perform other processing on the received data such as the virtual trial request, and feed back a processing result (for example, data such as an exposure rate) to the terminal device.
It should be noted that the method for outputting information provided in the embodiment of the present application is generally performed by the server 105, and accordingly, the apparatus for outputting information is generally disposed in the server 105.
It should be understood that the number of terminal devices, networks, and servers in fig. 1 is merely illustrative. There may be any number of terminal devices, networks, and servers, as desired for implementation.
With continued reference to FIG. 2, a flow 200 of one embodiment of a method for outputting information in accordance with the present application is shown. The method for outputting information comprises the following steps:
In this embodiment, an electronic device (for example, a server shown in fig. 1) on which the method for outputting information is operated may receive a log from a terminal on which a user performs a virtual trial using a target application by a wired connection manner or a wireless connection manner, and the target application installed on each terminal transmits the log for a predetermined time to the server. The log may also be obtained from a browsing server providing a picture browsing service. The target application may be a virtual fitting application, a virtual home application, or the like. The target application records various operation information of the user using the target application, for example, information of operations such as browsing, matching, purchasing, returning, and the like. Wherein, the collocation refers to that the pictures of at least two articles are combined together for virtual trial. For example, a virtual fitting may be performed by fitting a jacket and a pair of pants together. Information of various operations performed by the user through the target application is recorded in a log and periodically transmitted to the server. Each log includes information such as a user identifier of a user who uses the target application, picture information of a picture of an article viewed by the user, picture information of a picture of an article to be matched when the user combines pictures of at least two articles together for trial, and a store identifier of a store to which the picture of the article viewed by the user belongs. The shop to which the article picture browsed by the user belongs refers to a merchant who provides the article picture for trial use by the user.
In this embodiment, the first user is a user browsing the picture of the article through the target application. And extracting the picture information of the browsed article picture and the user identification corresponding to each picture information from each log in the log set. And taking the number of the extracted different user identifications as the number of the first users browsing the item pictures. And taking the number of the extracted picture information of the browsed article pictures as the browsing quantity of the article pictures in the preset time. And dividing the browsing quantity of the article pictures in the preset time by the quantity of the first users and then dividing the browsing quantity of the article pictures in the preset time by the preset time to obtain the browsing quantity of the article pictures in unit time of a single user. For example, if the picture information of 30000 item pictures viewed by 1000 users within 5 minutes is described in the log, it can be determined that the viewed amount of the item pictures per unit time of a single user is 6. The browsing amount of the images of the articles in unit time of a single user can be represented by a character SPM, the SPM expresses the Exposure Rate (the English name Exposure Rate refers to the number of times of display in unit time), for online shopping, the larger the Exposure Rate is, the better the Exposure Rate is, the larger the index is, the better the index is, the general online shopping is that the user enters a detailed page of the article in modes of searching, image listing and the like, the speed is limited, in the virtual fitting, through functions of a virtual wardrobe, automatic fitting and the like, the browsing speed can be greatly improved, the SPM is improved, and the SPM is also an important function of improving the Exposure Rate of the virtual fitting on the articles.
In this embodiment, the second user is a user who performs article picture matching through the target application. The target application can record the picture information of the picture of the article collocated by the user. The user has selected at least two item pictures each time the item picture is collocated. And if the log comprises a collocation identifier for identifying collocation, directly extracting the user identifier corresponding to the collocation identifier and the picture information of the collocated article picture from each log in the log set, and determining the number of the extracted different user identifiers as the number of the second users. And if the matching identification does not exist, determining the user with the quantity of the picture information of the browsed article picture corresponding to the user identification recorded at the same time in the log being more than 2 as the user for matching the article picture. And determining the quantity of the picture information of the collocated article pictures extracted from the log as the collocation quantity of the article pictures in the preset time. And dividing the matching quantity of the article pictures in the preset time by the quantity of the second users and then dividing the preset time by the matching quantity of the article pictures in the unit time of a single user. For example, the log records that 2 users match pictures within 1 minute, user a matches pictures of 3 articles, and user B matches pictures of 5 articles, so that the matching number of the articles and pictures per unit time of a single user can be determined to be 4. The collocation number of the article pictures of a single user in unit time can be represented by a character DPM, the DPM expresses the exposure rate of a plurality of article combinations, the exposure of an article A can cause the exposure of an article B and possibly cause the exposure of an article C, before a virtual trial function appears, the collocation relationship among the articles is not existed, but the fixed relationship of article detail pages is adopted, so that the exposure rates of the articles are single-article exposure rates and no article combination, the exposure rate of the article combination is an important index for virtual trial, the method is a new article exposure method, the exposure rate of the articles is improved in a multiplied mode, and the index is larger and better.
And step 204, determining the number of shops of the shops to which the browsed item pictures belong and determining the browsing amount of the shops per unit time of a single user according to the shop identifications of the shops to which the browsed item pictures belong in the logs in the log set.
In this embodiment, different item pictures may be displayed in different stores, so the store identifier to which the browsed item picture belongs is also recorded in the log. And extracting the shop identifications from the logs in the log set, and determining the number of browsed shops in a preset time according to the number of the extracted different shop identifications. And dividing the number of the browsed shops in the preset time by the number of the first users and then dividing the number by the preset time to obtain the browsing amount of the shops in the unit time of a single user. For example, if the log describes that 1000 users viewed 3000 stores within 1 minute, it can be determined that the amount of browsing of stores per unit time of a single user is 3. The amount of browsing of the store per unit time of a single user can be represented by the character HPM. The HPM expresses the speed of a user entering each shop through a virtual fitting, the virtual fitting is provided with a fitting inlet, the user can enter various shops to see the details of clothes in the process of fitting various clothes, the proportion of entering the shops from the virtual fitting inlet expresses the flow conversion capacity of the virtual fitting to the shops, and the larger the flow conversion capacity is, the better the flow conversion capacity is.
In this embodiment, weights are respectively set in advance for the browsing quantity of the pictures of the articles per unit time of the single user, the matching quantity of the pictures of the articles per unit time of the single user, and the browsing quantity of the stores per unit time of the single user, where the browsing quantity of the pictures of the articles per unit time of the single user corresponds to a preset first weight, the matching quantity of the pictures of the articles per unit time of the single user corresponds to a preset second weight, and the browsing quantity of the stores per unit time of the single user corresponds to a preset third weight. A first weighted sum of the quantity of viewed item pictures per unit time of individual user, the quantity of matching item pictures per unit time of individual user, and the quantity of viewed store per unit time of individual user can be used to evaluate the exposure rate. The value ranges of the first weight, the second weight and the third weight may be [0,1 ]. The browsing quantity of the item pictures per unit time of a single user, the matching quantity of the item pictures per unit time of the single user and the browsing quantity of the shop per unit time of the single user are respectively each single item in the total, if a certain single item is not concerned in the total effect, the weight corresponding to the single item is 0, if 100% of the total effect is concerned in the single item, the weight corresponding to the single item is 1, if 50% is concerned in the single item, the weight corresponding to the single item is 0.5, and the like. The preset first information may be information for characterizing that the target application reaches a desired exposure rate.
In some optional implementations of this embodiment, at least one log in the log set further includes: combining the picture information of the purchased article and a store identification of a store to which the combined purchased article belongs; and the method further comprises: determining the number of third users combined and purchased in the same shop according to the picture information of the combined and purchased articles in at least one log and the shop identification of the shop to which the combined and purchased articles belong, and determining the matching success rate in the same shop according to the number of the third users and the number of the first users; determining the number of fourth users purchased in different shops in a combined manner according to the picture information of the combined purchased articles in at least one log and the shop identification of the shop to which the combined purchased articles belong, and determining the cross-shop matching success rate corresponding to the preset fifth weight according to the number of the fourth users and the number of the first users; and outputting preset second information in response to the fact that the second weighted sum of the matching success rate in the same shop and the cross-shop matching success rate is larger than a preset second threshold value. Combination purchase refers to a purchase after a successful collocation, i.e., at least two items are purchased at the same time. The third user refers to a user who makes a combined purchase in the same store. The same in-store matching means that different items purchased in combination are purchased in the same store. The combined purchased article picture information and the store identification of the same store to which the combined purchased article belongs are extracted from the logs. And determining the user corresponding to the shop identifier of the same shop to which the extracted combined purchased article belongs as the third user. And dividing the number of the third users by the number of the first users to obtain the matching success rate in the same shop. The matching success rate in the same shop can be represented by a character ST, the ST expresses the proportion that a user finds proper matching in a single shop and purchases, the ST expresses the capability of meeting the matching of the user in the single shop, the ST is also a component of the purchase conversion rate of the user, and the larger the numerical value is, the better the matching is. The fourth user refers to a user who makes a combined purchase in a different store. Cross-store matching refers to the display of different items purchased in combination in different stores. The combined purchased article picture information and the store identification of the different stores to which the combined purchased article belongs are extracted from the respective logs. And determining the user corresponding to the shop identification of the different shop to which the extracted combined purchased article belongs as the fourth user. The number of fourth users is divided by the number of first users to obtain the cross-store fit power. The cross-store matching success rate can be represented by a character PT, the PT expresses that a user cannot find proper matching in a single store, but the cross-store matching success rate expresses the capability of meeting the user matching in the cross-store and is a component of the user purchasing conversion rate, and the larger the numerical value is, the better the cross-store matching success rate is. The preset second information may be information for characterizing that the target application reaches a desired order conversion rate.
In some optional implementations of this embodiment, the at least one log further includes: picture information of purchased articles and picture information of returned articles; and the method further comprises: determining the number of fifth users who purchase and the number of sixth users who return goods according to the picture information of the purchased goods and the picture information of the returned goods in the at least one log, and determining a return rate; and if the goods returning rate is smaller than a preset third threshold value, outputting preset third information. The fifth user refers to a user who purchases an item, and the sixth user refers to a user who returns a good. And extracting the user identification of the fifth user corresponding to the picture information of the purchased article and the user identification of the sixth user corresponding to the picture information of the returned article from the log. And taking the number of the extracted user identifications of different fifth users as the number of fifth users, taking the number of the extracted user identifications of different sixth users as the number of sixth users, and dividing the number of sixth users by the number of fifth users to obtain the return rate. The return rate can be represented by a character SR, the SR expresses the final failure rate of the user to buy the clothes after the user passes through the virtual fitting, and expresses the failure rate of the virtual fitting to the purchase guidance, and the smaller the numerical value is, the better the return rate is. The preset third information may be information for characterizing that the target application reaches a desired return rate.
With continued reference to fig. 3, fig. 3 is a schematic diagram of an application scenario of the method for outputting information according to the present embodiment. In the application scenario of fig. 3, a user performs a virtual fitting through a terminal 300 installed with a target application, the user selects a head dress 301 and a wedding dress 302 to match, the target application records information of two pictures matched by the user and stores the information in a log, and the log is transmitted to a server at a predetermined time interval. The server receives the logs sent by at least one terminal and then performs statistical analysis, so that preset first information is output when the target application is detected to reach the expected exposure rate.
The method provided by the above embodiment of the application outputs the use effect information of the target application by associating the expected effect of the target application with the number of articles browsed per unit time, the number of matched articles and the number of browsed shops of a single user.
With further reference to fig. 4, a flow 400 of yet another embodiment of a method for outputting information is shown. The process 400 of the method for outputting information includes the steps of:
Step 401-.
In this embodiment, some indexes have a certain interdependence relationship, and the division amount may not accurately reflect the operation effect of the virtual fitting, for example, the improvement of ST and PT may be accompanied by the improvement of SR. Therefore, for the three indexes of ST, PT and SR, comprehensive evaluation is needed, and the evaluation formula is as follows:
SPS ═ ST + PT)/SR (equation 1)
In the above equation, SPS represents a comprehensive evaluation index for purchase conversion rate and return rate, and SR is not equal to 0. When SR is 0, SPS is the sum of ST and PT.
The formula shows that the sum of ST and PT is required to be considered for purchasing the conversion rate, not only a single index, but also the influence on SR is required to be considered for the promotion of ST and PT, even though SR promotion is not necessarily negative, as long as the promotion rate of ST + PT is greater than that of SR, the comprehensive index is promoted to a good aspect, otherwise, the comprehensive index is developed to a bad direction.
The ST and the PT are recorded separately because the index PT has independent existence significance, and the PT is another advantage brought by virtual fitting, and has stronger attraction to merchants compared with the ST, so that the occupation ratio of the PT is increased as much as possible while the sum of the ST + PT is increased.
In step 407, if the collocation success rate is greater than the predetermined fourth threshold, outputting the preset fourth information.
In this embodiment, the matching power obtained in step 406 is used to measure the purchase conversion rate, and if the matching success rate is greater than a predetermined fourth threshold, preset fourth information is output. The preset fourth information may be information for characterizing that the order conversion rate is expected.
In some optional implementation manners of this embodiment, the collocation success rate corresponds to a preset sixth weight; and the method further comprises: determining a third weighted sum of the browsing quantity of the article pictures of a single user in unit time, the matching quantity of the article pictures of the single user in unit time, the browsing quantity of the stores of the single user in unit time, the cross store matching success rate and the matching success rate; and if the third weighted sum is larger than a preset fifth threshold value, outputting preset fifth information. The preset fifth information may be information for characterizing that the target application achieves the expected operational effect. Therefore, the business operation effect of the comprehensive evaluation virtual fitting can be expressed by the following functions:
e ═ K1 × SPM + K2 × DPM + K3 × HPM + K4 × PT + K5 × SPS (formula 2)
In the above formula, E represents the overall effect of the virtual fitting business operation, K1-K5 are weights of overall contributions of each operation index, the value ranges of K1-K5 are (0-1), if a single item is not concerned in the overall effect, the weight is 0, if 100% of the overall effect is concerned in the single item, the weight is 1, if 50% is concerned in the single item, the weight is 0.5, and so on. The larger the score of E, the better the commercial operation of the virtual fitting, and vice versa.
As can be seen from fig. 4, compared with the embodiment corresponding to fig. 2, the flow 400 of the method for outputting information in the present embodiment highlights the step of correcting the collocation success rate. Therefore, the scheme described in the embodiment can more accurately evaluate the use effect of the target application.
With further reference to fig. 5, as an implementation of the methods shown in the above-mentioned figures, the present application provides an embodiment of an apparatus for outputting information, which corresponds to the method embodiment shown in fig. 2, and which is particularly applicable to various electronic devices.
As shown in fig. 5, the apparatus 500 for outputting information of the present embodiment includes: a receiving unit 501, a picture determining unit 502, a collocation determining unit 503, a store determining unit 504, and an output unit 505. The receiving unit 501 is configured to receive a log set within a predetermined time of a target application, where a log in the log set includes: the system comprises a user identification, picture information of browsed article pictures, picture information of collocated article pictures, and a shop identification of a shop to which the browsed article pictures belong; the picture determining unit 502 is configured to determine the number of first users browsing the item pictures and the browsing amount of the item pictures according to the user identifiers in the respective logs in the log set and the picture information of the browsed item pictures, and determine the browsing amount of the item pictures per unit time of a single user; the collocation determining unit 503 is configured to determine the number of second users collocating the article pictures and the collocation number of the article pictures according to the user identifiers in the respective logs in the log set and the picture information of the collocated article pictures, and determine the collocation number of the article pictures of a single user per unit time; the store determination unit 504 is configured to determine the number of stores to which the browsed picture of the item belongs, and determine the amount of store browsing per unit time of a single user, based on the store identification of the store to which the browsed picture of the item belongs in each log in the log set; the output unit 505 is configured to output preset first information in response to determining that a first weighted sum of the item picture browsing amount per unit time of a single user, the item picture collocation amount per unit time of the single user, and the shop browsing amount per unit time of the single user is greater than a predetermined first threshold, wherein the item picture browsing amount per unit time of the single user corresponds to a preset first weight, the item picture collocation amount per unit time of the single user corresponds to a preset second weight, and the shop browsing amount per unit time of the single user corresponds to a preset third weight.
In the present embodiment, specific processing of the receiving unit 501, the picture determining unit 502, the collocation determining unit 503, the store determining unit 504 and the output unit 505 of the apparatus 500 for outputting information may refer to step 201, step 202, step 203, step 204 and step 205 in the corresponding embodiment of fig. 2.
In some optional implementations of this embodiment, at least one log in the log set further includes: combining the picture information of the purchased article and a store identification of a store to which the combined purchased article belongs; and the store determination unit 504 is further configured to: determining the number of third users combined and purchased in the same shop according to the picture information of the combined and purchased articles in at least one log and the shop identification of the shop to which the combined and purchased articles belong, and determining the matching success rate in the same shop according to the number of the third users and the number of the first users; determining the number of fourth users purchased in different shops in a combined manner according to the picture information of the combined purchased articles in at least one log and the shop identification of the shop to which the combined purchased articles belong, and determining the cross-shop matching success rate corresponding to the preset fifth weight according to the number of the fourth users and the number of the first users; and outputting preset second information in response to the fact that the second weighted sum of the matching success rate in the same shop and the cross-shop matching success rate is larger than a preset second threshold value.
In some optional implementations of this embodiment, the at least one log further includes: picture information of purchased articles and picture information of returned articles; and the apparatus 500 further comprises a return determination unit (not shown) configured to: determining the number of fifth users who purchase and the number of sixth users who return goods according to the picture information of the purchased goods and the picture information of the returned goods in the at least one log, and determining a return rate; and if the goods returning rate is smaller than a preset third threshold value, outputting preset third information.
In some optional implementations of this embodiment, the store determination unit 504 is further configured to: determining a quotient of the sum of the matching success rate in the same shop and the cross-shop matching power and the goods return rate as the matching power; and if the collocation success rate is greater than a preset fourth threshold value, outputting preset fourth information.
In some optional implementation manners of this embodiment, the collocation success rate corresponds to a preset sixth weight; and the output unit 505 is further configured to: determining a third weighted sum of the browsing quantity of the article pictures of a single user in unit time, the matching quantity of the article pictures of the single user in unit time, the browsing quantity of the stores of the single user in unit time, the cross store matching success rate and the matching success rate; and if the third weighted sum is larger than a preset fifth threshold value, outputting preset fifth information.
Referring now to FIG. 6, shown is a block diagram of a computer system 600 suitable for use in implementing a server according to embodiments of the present application. The server shown in fig. 6 is only an example, and should not bring any limitation to the functions and the scope of use of the embodiments of the present application.
As shown in fig. 6, the computer system 600 includes a Central Processing Unit (CPU)601 that can perform various appropriate actions and processes according to a program stored in a Read Only Memory (ROM)602 or a program loaded from a storage section 608 into a Random Access Memory (RAM) 603. In the RAM 603, various programs and data necessary for the operation of the system 600 are also stored. The CPU 601, ROM 602, and RAM 603 are connected to each other via a bus 604. An input/output (I/O) interface 605 is also connected to bus 604.
The following components are connected to the I/O interface 605: an input portion 606 including a keyboard, a mouse, and the like; an output portion 607 including a display such as a Cathode Ray Tube (CRT), a Liquid Crystal Display (LCD), and the like, and a speaker; a storage section 608 including a hard disk and the like; and a communication section 609 including a network interface card such as a LAN card, a modem, or the like. The communication section 609 performs communication processing via a network such as the internet. The driver 610 is also connected to the I/O interface 605 as needed. A removable medium 611 such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, or the like is mounted on the drive 610 as necessary, so that a computer program read out therefrom is mounted in the storage section 608 as necessary.
In particular, according to an embodiment 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 may be downloaded and installed from a network through the communication section 609, and/or installed from the removable medium 611. The computer program performs the above-described functions defined in the method of the present application when executed by a Central Processing Unit (CPU) 601. It should be noted that the computer readable medium described herein 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 application, 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 this application, 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.
Computer program code for carrying out operations for aspects of the present application may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, Smalltalk, C + + or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer (for example, through the Internet using an Internet service provider).
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 application. 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 and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
The units described in the embodiments of the present application may be implemented by software or hardware. The described units may also be provided in a processor, and may be described as: a processor includes a receiving unit, a picture determining unit, a collocation determining unit, a store determining unit, and an output unit. Where the names of these units do not in some cases constitute a limitation on the unit itself, for example, a receiving unit may also be described as a "unit that receives a set of logs within a predetermined time of receiving a target application".
As another aspect, the present application also provides a computer-readable medium, which may be contained in the apparatus described in the above embodiments; or may be present separately and not assembled into the device. The computer readable medium carries one or more programs which, when executed by the apparatus, cause the apparatus to: receiving a log set within a predetermined time of a target application, wherein the logs in the log set comprise: the system comprises a user identification, picture information of browsed article pictures, picture information of collocated article pictures, and a shop identification of a shop to which the browsed article pictures belong; determining the number of first users browsing the article pictures and the browsing quantity of the article pictures and determining the browsing quantity of the article pictures per unit time of a single user according to the user identification in each log in the log set and the picture information of the browsed article pictures; determining the number of second users collocating the article pictures and the collocation number of the article pictures according to the user identification in each log in the log set and the picture information of the collocated article pictures, and determining the collocation number of the article pictures of a single user in unit time; determining the number of shops of the shops to which the browsed article pictures belong and determining the browsing amount of the shops per unit time of a single user according to the shop identification of the shop to which the browsed article pictures belong in each log in the log set; and outputting preset first information in response to the fact that the first weighted sum of the browsing quantity of the item pictures per unit time of the single user, the matching quantity of the item pictures per unit time of the single user and the browsing quantity of the shop per unit time of the single user is larger than a preset first threshold value.
The above description is only a preferred embodiment of the application and is illustrative of the principles of the technology employed. It will be appreciated by a person skilled in the art that the scope of the invention as referred to in the present application is not limited to the embodiments with a specific combination of the above-mentioned features, but also covers other embodiments with any combination of the above-mentioned features or their equivalents without departing from the inventive concept. For example, the above features may be replaced with (but not limited to) features having similar functions disclosed in the present application.
Claims (12)
1. A method for outputting information, comprising:
receiving a log set of a target application within a predetermined time, wherein the logs in the log set comprise: the method comprises the following steps that user identification, picture information of browsed article pictures, picture information of collocated article pictures and shop identification of shops to which the browsed article pictures belong are matched, wherein the collocation refers to that the article pictures of at least two articles are combined together for virtual trial, and various operation information of a user using the target application is recorded by the target application and comprises at least one of the following items: browsing, matching, purchasing and returning goods;
determining the number of first users browsing the article pictures and the browsing amount of the article pictures according to the user identification in each log in the log set and the picture information of the browsed article pictures, and determining the browsing amount of the article pictures of a single user in unit time;
determining the number of second users collocating the article pictures and the collocation number of the article pictures according to the user identification in each log in the log set and the picture information of the collocated article pictures, and determining the collocation number of the article pictures of a single user in unit time;
determining the number of shops of the shops to which the browsed article pictures belong and determining the browsing amount of the shops per unit time of a single user according to the shop identification of the shop to which the browsed article pictures belong in each log in the log set;
and outputting preset first information in response to the fact that the first weighted sum of the browsing quantity of the goods pictures of the single user in unit time, the matching quantity of the goods pictures of the single user in unit time and the shop browsing quantity of the single user in unit time is larger than a preset first threshold, wherein the browsing quantity of the goods pictures of the single user in unit time corresponds to a preset first weight, the matching quantity of the goods pictures of the single user in unit time corresponds to a preset second weight, and the shop browsing quantity of the single user in unit time corresponds to a preset third weight.
2. The method of claim 1, wherein at least one log in the set of logs further comprises: combining the picture information of the purchased article and a store identification of a store to which the combined purchased article belongs; and
the method further comprises the following steps:
determining the number of third users combined and purchased in the same shop according to the picture information of the combined and purchased articles in the at least one log and the shop identification of the shop to which the combined and purchased articles belong, and determining the matching success rate in the same shop according to the number of the third users and the number of the first users;
determining the number of fourth users purchased in different shops in combination according to the picture information of the combined purchased articles in the at least one log and the shop identification of the shop to which the combined purchased articles belong, and determining the cross-shop collocation success rate according to the number of the fourth users and the number of the first users;
and outputting preset second information in response to the fact that the second weighted sum of the intra-shop collocation success rate and the cross-shop collocation success rate is larger than a preset second threshold, wherein the intra-shop collocation success rate corresponds to a preset fourth weight, and the cross-shop collocation success rate corresponds to a preset fifth weight.
3. The method of claim 2, wherein the at least one log further comprises: picture information of purchased articles and picture information of returned articles; and
the method further comprises the following steps:
determining the number of fifth users who purchase and the number of sixth users who return goods according to the picture information of the purchased goods and the picture information of the returned goods in the at least one log, and determining a return rate;
and if the goods returning rate is smaller than a preset third threshold value, outputting preset third information.
4. The method of claim 3, wherein the method further comprises:
determining a quotient of the sum of the intra-store collocation success rate and the cross-store collocation power and the return rate as a collocation power;
and if the collocation success rate is greater than a preset fourth threshold, outputting preset fourth information.
5. The method of claim 4, wherein the collocation success rate corresponds to a preset sixth weight; and
the method further comprises the following steps:
determining a third weighted sum of the browsing quantity of the article pictures of the single user in unit time, the matching quantity of the article pictures of the single user in unit time, the browsing quantity of the shops of the single user in unit time, the cross-shop matching success rate and the matching success rate;
and if the third weighted sum is larger than a preset fifth threshold value, outputting preset fifth information.
6. An apparatus for outputting information, comprising:
a receiving unit, configured to receive a log set within a predetermined time of a target application, wherein a log in the log set includes: the method comprises the following steps that user identification, picture information of browsed article pictures, picture information of collocated article pictures and shop identification of shops to which the browsed article pictures belong are matched, wherein the collocation refers to that the article pictures of at least two articles are combined together for virtual trial, and various operation information of a user using the target application is recorded by the target application and comprises at least one of the following items: browsing, matching, purchasing and returning goods;
the picture determining unit is configured to determine the number of first users browsing the article pictures and the browsing quantity of the article pictures according to the user identification in each log in the log set and the picture information of the browsed article pictures, and determine the browsing quantity of the article pictures of a single user in unit time;
the collocation determining unit is configured to determine the number of second users collocating the article pictures and the collocation number of the article pictures according to the user identification in each log in the log set and the picture information of the collocated article pictures, and determine the collocation number of the article pictures of a single user in unit time;
a store determining unit configured to determine the number of stores to which the browsed item pictures belong and determine the per-user-unit-time store browsing amount according to the store identification of the store to which the browsed item pictures belong in each log in the log set;
and the output unit is configured to output preset first information in response to the fact that the first weighted sum of the item picture browsing amount of the single user per unit time, the item picture matching amount of the single user per unit time and the shop browsing amount of the single user per unit time is greater than a preset first threshold, wherein the item picture browsing amount of the single user per unit time corresponds to a preset first weight, the item picture matching amount of the single user per unit time corresponds to a preset second weight, and the shop browsing amount of the single user per unit time corresponds to a preset third weight.
7. The apparatus of claim 6, wherein at least one log of the set of logs further comprises: combining the picture information of the purchased article and a store identification of a store to which the combined purchased article belongs; and
the store determination unit is further configured to:
determining the number of third users combined and purchased in the same shop according to the picture information of the combined and purchased articles in the at least one log and the shop identification of the shop to which the combined and purchased articles belong, and determining the matching success rate in the same shop according to the number of the third users and the number of the first users;
determining the number of fourth users purchased in different shops in combination according to the picture information of the combined purchased articles in the at least one log and the shop identification of the shop to which the combined purchased articles belong, and determining the cross-shop collocation success rate according to the number of the fourth users and the number of the first users;
and outputting preset second information in response to the fact that the second weighted sum of the intra-shop collocation success rate and the cross-shop collocation success rate is larger than a preset second threshold, wherein the intra-shop collocation success rate corresponds to a preset fourth weight, and the cross-shop collocation success rate corresponds to a preset fifth weight.
8. The apparatus of claim 7, wherein the at least one log further comprises: picture information of purchased articles and picture information of returned articles; and
the apparatus further comprises a return determination unit configured to:
determining the number of fifth users who purchase and the number of sixth users who return goods according to the picture information of the purchased goods and the picture information of the returned goods in the at least one log, and determining a return rate;
and if the goods returning rate is smaller than a preset third threshold value, outputting preset third information.
9. The apparatus of claim 8, wherein the store determination unit is further configured to:
determining a quotient of the sum of the intra-store collocation success rate and the cross-store collocation power and the return rate as a collocation power;
and if the collocation success rate is greater than a preset fourth threshold, outputting preset fourth information.
10. The apparatus of claim 9, wherein the collocation success rate corresponds to a preset sixth weight; and
the output unit is further configured to:
determining a third weighted sum of the browsing quantity of the article pictures of the single user in unit time, the matching quantity of the article pictures of the single user in unit time, the browsing quantity of the shops of the single user in unit time, the cross-shop matching success rate and the matching success rate;
and if the third weighted sum is larger than a preset fifth threshold value, outputting preset fifth information.
11. A server, 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 1-5.
12. A computer-readable storage medium, on which a computer program is stored, wherein the program, when executed by a processor, implements the method of any one of claims 1-5.
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| CN105589905A (en) * | 2014-12-26 | 2016-05-18 | 中国银联股份有限公司 | User interest data analysis and collection system and method |
| CN107330635A (en) * | 2017-07-20 | 2017-11-07 | 北京小度信息科技有限公司 | Information output method and device |
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| CN104615608A (en) * | 2014-04-28 | 2015-05-13 | 腾讯科技（深圳）有限公司 | Data mining processing system and method |
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