WO2019154096A1

WO2019154096A1 - Information sharing method and device

Info

Publication number: WO2019154096A1
Application number: PCT/CN2019/072990
Authority: WO
Inventors: 吕卓
Original assignee: 阿里巴巴集团控股有限公司
Priority date: 2018-02-08
Filing date: 2019-01-24
Publication date: 2019-08-15
Also published as: TWI726267B; CN108537616A; CN112967117A; TW201935374A; CN108537616B

Abstract

An information sharing method and a device corresponding thereto, the method comprising: determining multiple pieces of information to be shared according to historical behavior data of a user (S100); determining for each piece of information to be shared a corresponding scoring model according to the classification of the information to be shared (S102); according to an operation executed by a user on the information to be shared, determining for each piece of information to be shared input parameters inputted into the scoring model, and inputting the input parameters into the scoring model to obtain a scoring result for the information to be shared (S104); and selecting at least part of the information to be shared and sharing the same according to the scoring result of the each piece of information to be shared (S106).

Description

Method and device for information sharing

Cross-reference to related applications

The present application claims priority to Chinese Patent Application No. 20110112579, the entire disclosure of which is hereby incorporated by reference in its entirety in its entirety in In this article.

Technical field

The present application relates to the field of information technology, and in particular, to a method and an apparatus for information sharing.

Background technique

At present, with the development of e-commerce, the number of products sold on the e-commerce platform is also increasing. When a user wants to purchase a certain type of product, a large number of similar or identical products may be found to be sold, making it difficult for the user to select. In general, in the face of this situation, users in addition to their own habits or choices to purchase, but also based on their own interpersonal relationships, seeking the opinions of other users.

For example, imagine the following scenario, where user A is a pregnant woman who is expectant, user B is just a mother, and is a friend of user A, then user A can ask user B to determine which infant products need to be purchased. Or, User C recently got a bonus, wants to buy something but has no clue, User D is a colleague of User C, then User C can ask User D if he has recently purchased a product that is considered worthy of recommendation.

In the prior art, when a general user recommends a product of an e-commerce platform, since the product information and the like are all stored in the terminal, the user usually uses the social application to recommend the product to other users, and usually needs to go through the following steps:

First, the user determines what he or she considers worthy of recommendation based on the list of products that he has purchased, or by browsing the history of the item. After that, the product information is shared with other users by copying the product information such as the connection of the product, the product name, and the like. Finally, since the user usually has a more intuitive understanding of the recommended product, the user can also send his own evaluation of the product to other users. The above process, because of the two processes involved in obtaining product information and sharing product information, the user may need to switch between multiple applications, and the process is complicated. As shown in Figure 1.

FIG. 1 is a process of recommending a product by a user. It is assumed that the application E is a shopping application and the application F is a social application. When another user in the F application consults the recommended product with the user, the user may start the application E and open the purchased product. List or want to buy a list of products, then follow the needs of other users, find the products that you feel satisfied, then copy the link of the product, and switch to the application F to share with other users.

The above is only the process of sharing a product by the user, and if the user has multiple items to share the recommendation to other users, the user needs to perform more repetitive operations.

This specification provides a method for information sharing, which avoids the problem that the operations that need to be performed are too complicated when the existing users have multiple information to share.

Summary of the invention

The embodiment of the present invention provides a method and a device for information sharing, which are used to solve the problem that the prior art requires the user to manually operate to share information, so when the user needs to share multiple information, the operation is complicated and the information sharing efficiency is low.

The embodiments of the present specification adopt the following technical solutions:

A method of information sharing, including:

Determining a number of information to be shared according to the historical behavior data of the user;

Determining, according to the classification of the information to be shared, the scoring model corresponding to the classification for each information to be shared;

Determining an input parameter input to the scoring model according to the operation performed by the user on the information to be shared, and inputting the input parameter to the scoring model to obtain the to-be-shared Rating of the information;

According to the rating result of each information to be shared, at least part of the information to be shared is selected and shared.

A device for information sharing, comprising:

The information determining module determines a plurality of information to be shared according to the historical behavior data of the user;

a model determining module, for each information to be shared, determining a scoring model corresponding to the classification according to the classification of the information to be shared;

a scoring module, for each information to be shared, determining an input parameter input to the scoring model according to an operation performed by the user on the information to be shared, and inputting the input parameter to the scoring model to obtain The rating result of the information to be shared;

The sharing module selects at least part of the information to be shared according to the rating result of each information to be shared, and shares the information.

A terminal, wherein the terminal comprises: one or more processors and a memory, the memory storing a program, and being configured to perform the following steps by one or more processors:

The above at least one technical solution adopted by the embodiments of the present specification can achieve the following beneficial effects:

Through the method and device provided in the present specification, a plurality of information to be shared may be determined according to the historical behavior data of the user, and then the corresponding scoring model is determined according to the classification of the information to be shared for each information to be shared, and then Determining an input parameter input to the scoring model according to an operation performed by the user on the information to be shared, inputting the input parameter to the scoring model, obtaining a scoring result of the information to be shared, and finally, according to each to be shared The result of the rating of the information, select at least part of the information to be shared for sharing. When the user shares the information, the user does not need to filter the information to be shared one by one, but determines the information to be shared and the score according to the historical behavior of the user, and then selects some information to be shared according to the score result for sharing. Since the user usually shares the information that he or she is more concerned with other users, and the behavior of the user is related to the information that the user pays attention to (for example, the information repeatedly viewed by the user, usually the information that the user pays attention to), the method provided by the present specification And the device reduces the user's operation and improves the efficiency of sharing information by users while ensuring the accuracy of the shared information.

DRAWINGS

The drawings described herein are intended to provide a further understanding of the present application, and are intended to be a part of this application. In the drawing:

FIG. 1 is a process of information sharing provided by an embodiment of the present disclosure;

2A and 2B are schematic diagrams showing the form of "one-click sharing" provided by an embodiment of the present specification;

3 and 4 are schematic views of a selection interface provided by the present specification;

FIG. 5 is a schematic structural diagram of an information sharing apparatus according to an embodiment of the present disclosure;

FIG. 6 is a schematic structural diagram of a terminal according to an embodiment of the present disclosure.

Detailed ways

The technical solutions of the present application will be clearly and completely described in the following with reference to the specific embodiments of the specification and the accompanying drawings. It is apparent that the described embodiments are only a part of the embodiments of the present application, and not all of them. All other embodiments obtained by a person of ordinary skill in the art based on the embodiments in the specification without departing from the inventive scope are the scope of the application.

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

FIG. 1 is a process of information sharing provided by an embodiment of the present invention, which may specifically include the following steps:

S100: Determine a plurality of information to be shared according to the historical behavior data of the user.

In one or more embodiments of the present disclosure, the information sharing process may be performed by a terminal, and the terminal may be a device such as a mobile phone, a tablet computer, a personal computer, or the like, which is not limited in this specification.

Specifically, in the present specification, the information to be shared may specifically be commodity information. The product information may include: an identifier of the product, a picture of the product, an address link of the product, a description of the product by the user, and an evaluation of the user by the user. Of course, this specification does not limit what content is included in the product information, and may be set as needed.

In addition, in order to facilitate the execution of the subsequent steps, the terminal may acquire only the product identifier of the product for each product information to be shared in step S100, and then perform the information sharing in the subsequent step S108, and then complete the information according to the product identifier. Other content of the product information (such as the above, the picture of the product, the address link of the product, etc.).

Further, since the user is sharing the product, it is usually to share the product that the user has purchased, or the product that has been known. Therefore, the terminal can determine the product identifier to be shared according to the historical behavior data of the user. Specifically, the terminal may determine the product identifier to be shared according to at least one of a record of the user purchasing the product or a user browsing record of the user. For example, according to the record of the purchased product of the user, each item identification in the record of the purchased item is determined, or the item identification corresponding to the item viewed by the user is determined according to the item browsing record of the user. Of course, the product identifiers to be shared are determined according to those records, and can be set as needed, and the specification is not limited.

S102: Determine, for each information to be shared, a scoring model corresponding to the classification according to the classification of the information to be shared.

In the present specification, after determining the information to be shared (for example, the product identifier to be shared), the terminal may determine the basis of the classification of each product identifier due to the lack of comparison between the commodities belonging to different categories. A scoring model corresponding to the classification of each item identification. Therefore, each of the product identifiers to be shared may be scored by using a not-identical scoring model according to the classification to which the commodity label to be shared belongs.

For example, in the case of large household appliances and consumer daily necessities, the average user rarely purchases large-scale home appliances frequently, but daily necessities often require frequent purchases. Therefore, there is a lack of basis for comparison between these two types of goods. If the score is based on the number of purchases or the frequency of purchase, the accuracy of the score results is low.

Specifically, in order to facilitate the management of goods, the third-party e-commerce platform usually pre-configures the product categories for classifying the products, and when each product is registered, the classification of the products is determined according to the product categories. Therefore, when determining the identification of each product, the terminal can determine the classification of each product identification. As shown in Table 1.

Table 1

It can be seen from Table 1 that the terminal can determine the classification of each product identifier to be shared, and can determine the product identifier included in each category classification.

Further, since the comparability between different types of merchandise (ie, merchandise corresponding to different merchandise identifiers) is low, the terminal may predetermine scoring models respectively corresponding to the respective categories, so that subsequent steps may be for each to be shared. The product identifier determines a rating result of the product identifier to be shared according to a scoring model for scoring the category to which the product identifier belongs.

Specifically, the terminal may first determine whether the local scoring model is stored locally, and if yes, obtain each scoring model corresponding to each category locally, and if not, send an obtaining request to the server to obtain corresponding scorings from the server respectively. Each scoring model. When the terminal is the first time for information sharing, the terminal may obtain each scoring model from the server and store it locally, so that if the terminal subsequently performs information sharing again, each scoring model may be obtained locally.

S104: For each information to be shared, according to the operation performed by the user on the information to be shared, determining an input parameter input to the scoring model, and inputting the input parameter into the scoring model to obtain the The rating of the information to be shared.

In the embodiment of the present specification, after determining the scoring model corresponding to the product identifier for each product identifier to be shared, the scoring result of the product identifier may be determined according to the operation performed by the user on the information to be shared. . In order to subsequently select the partial product identifiers to be shared according to the scoring results of the product identifiers to be shared. The rating result is a quantitative value of the user's willingness to share the information to be shared. For example, the terminal may determine, according to the determined result of the rating of each product identifier, the difference in the willingness of the user to share the products corresponding to the respective product identifiers.

Since the user usually gives the product a favorable price or a repeated purchase, the rating result of the product identification to be shared can be determined according to the operation performed by the user for each item purchased by the user. Therefore, the scoring model in this specification is a model that determines the score of the information to be shared based on the operations performed by the user on the information to be shared. Specifically, the terminal may perform an operation performed on the information to be shared by the user, determine an input parameter input to the scoring model, and input the input parameter to the scoring model to obtain a scoring result of the information to be shared.

In this specification, for each item identifier to be shared, the operation performed by the user on the item corresponding to the item identifier to be shared may be determined first. For example, an evaluation operation of the product by the user, an operation of purchasing the item, an operation of browsing the item, and the like are determined. The operation of purchasing the product by the user may also be determined as the operation performed by the user on the product, so even if the user has not performed other operations on the product, the input to the scoring model may be determined according to the operation of the user to purchase the product. Input parameters.

After that, the terminal may determine an input parameter input to the scoring model according to a pre-configured rule and an operation performed by the user on the item corresponding to the item identifier to be shared. Specifically, the terminal may determine the input parameters corresponding to each operation according to each operation performed by the user on the product corresponding to the product identifier to be shared. For example, the terminal may use the content of the operation or the number of operations as an input parameter corresponding to each operation. As shown in table 2.

操作类型Operation type	输入参数Input parameters
好评操作Praise operation	100100
中评操作Evaluation operation	5050
差评操作Bad review operation	00
购买操作Purchase operation	22
……......	……......
浏览操作Browse operation	1010

Table 2

Table 2 shows that a terminal determines the input parameters corresponding to each operation according to different operations of the user for a certain product. The corresponding input parameter may be determined according to the number of operations or the content of the operation. For example, each evaluation operation may be based on the content of the operation, and the input parameters corresponding to the operation are determined. For example, the rating is 100 points, the rating is 50 points, the difference is 0 points, and so on. In the case of a purchase operation and a browsing operation, the number of times the user performs an operation may be used as an input parameter corresponding to the operation. For example, Table 2 shows that the user purchased the item twice and viewed it 10 times. Certainly, how to determine the input parameters corresponding to the specific operation is not limited in this specification, and may be specifically set as needed. Table 2 is only the illustration provided in this specification.

Finally, the terminal may input the determined operations and the corresponding input parameters into the scoring model corresponding to the category to which the product identifier belongs, and obtain the scoring result of the product identifier to be shared.

Specifically, in the specification, the scoring model may include a plurality of independent variables, and each operation determined by the terminal may correspond to at least one independent variable in the scoring model. Therefore, when the terminal inputs the input parameter corresponding to each operation into the scoring model, each input parameter can be input into the scoring model according to the correspondence between the operation and the independent variable. That is to say, the terminal can respectively determine each input parameter as an independent variable corresponding to each operation.

For example, suppose the scoring model is y=a·F ₁ +b·F ₂ +c·F ₃ , where y is the scoring result, F ₁ to F ₃ are different independent variables, and a to c are the respective variables. Weights. Further, it is assumed that operations 1 to 3 correspond to arguments F ₁ to F ₃ , respectively, and the input parameters corresponding to operations 1 to 3 are 10, 20, and 50, respectively, and the weight values a to c are 1.5, 3, and 15, respectively. Therefore, the terminal can determine that the rating result of the product identification is 1.5·10+3·20+15·50=825.

It should be noted that the specification does not limit the specific content of the scoring model. Therefore, it is not limited for the terminal to determine which operations and their corresponding input parameters, and the scoring model can be set as needed.

Further, in the present specification, the independent variables and weight values included in each scoring model can be determined according to the results of sharing information by other users. For example, most users tend to share their repeated purchases with other users, and the server can set the weight value of the independent variable corresponding to the purchase operation in the scoring model to be higher. Or, assuming that the number of times a user browses a product is not related to whether the user shares the product, the server may not use the number of times the user browses the product as an argument in the scoring model.

Of course, this specification does not limit how to configure the independent variables and weight values included in the evaluation model. For example, the weight values of the independent variables included in the scoring model can also be configured according to manual experience.

S106: Select at least part of the information to be shared according to the score result of each information to be shared, and share the information.

In the embodiment of the present specification, after the terminal determines the scores of the product identifiers to be shared, the terminal may select at least part of the product identifiers to be shared according to the score results, and correspondingly select the selected product identifiers to be shared. Product information is shared.

Specifically, first, the terminal may select a specified number of product identifiers to be shared according to the ranking result of the product identifiers to be shared according to the highest priority. Alternatively, the terminal may select the product identifier to be shared in the portion with a higher score result according to the specified ratio and the ranking result of the product identifiers to be shared from high to low. The specified quantity or the specified ratio can be set as needed, and the specification is not limited. Certainly, the terminal may also select at least part of the product identifier to be shared from the product identifiers to be shared in other manners, and the specification does not limit how to select the product identifier to be shared.

Later, since the user is sharing the product, it is usually not only the identifier of the product but also the product information of the product (for example, the picture of the product, the address link of the product, etc.). Moreover, since the product information to be shared has been determined in step S100, the terminal determines, according to the selected product identifiers to be shared, the product information that needs to be shared, and shares the information. The terminal can integrate the product information that needs to be shared into one page for sharing.

In addition, in the present specification, the object of information sharing may be other users specified by the user, or may be shared in the social page of the user. For example, the user may select the identifiers of other users, and send the determined product information that needs to be shared to the other users, or the user may also publish articles, blogs, and the like including the product information that needs to be shared.

Of course, since there are a plurality of different information sharing, the present specification does not limit how the selected information to be shared is specifically shared.

Based on the information sharing process shown in FIG. 1 , the terminal may determine the information to be shared according to the historical behavior data of the user, and then score the information to be shared by each scoring model, and then, according to the scoring result of the information to be shared, Select at least part of the information to be shared for sharing, so that when the information is shared, the user does not need to perform the sharing operation one by one, and can determine and share the plural information, simplifying the operation of the user and improving the efficiency of information sharing.

In addition, in the present specification, before the terminal performs information sharing, the terminal may also receive a sharing instruction sent by the user, where the sharing instruction does not specify the information to be shared. That is to say, the sharing instruction can only be used to trigger the terminal to share information, and is not used to specify which information to share. This allows users to share information in batches with one-click operation (ie, the user only performs one operation).

The sharing instruction may trigger the terminal to perform the operations of step S100 to step S106. Then, when receiving the sharing instruction of the user, the terminal may determine a plurality of information to be shared according to the historical behavior data of the user. That is to say, the information sharing process can be performed by the terminal after receiving the sharing instruction of the user.

Alternatively, the sharing instruction may also be received by the terminal before sharing. Then, the terminal may perform step S100 to step S106 in advance, that is, at least part of the information to be shared is selected in advance, and after receiving the sharing instruction of the user, the pre-selected part of the information to be shared is shared.

Of course, the operation of the sharing instruction corresponding to the user is not limited in this specification, and may be set as needed. For example, if a button corresponding to the share information function set in the application is detected, when the user is detected to perform a click operation on the button, the sharing command is received. Alternatively, if an application for information sharing is installed in the terminal, when the user is monitored to perform a click operation on the application, the sharing instruction is received, as shown in FIGS. 2A and 2B. 2A and 2B show two forms of "one-click sharing". On the left side, FIG. 2A shows a "one-click sharing" button displayed on the application interface, and FIG. 2B shows the terminal interface on the right side. The "One Click Share" app icon shown on the show.

In addition, because users of different consumption habits tend to share goods, the tendency is usually different. For example, for users who are accustomed to purchasing cost-effective products, the number of times a user browses a product may have a greater impact on whether the user shares the product. Or, for users with high brand recognition, whether the brand influence of the product is high has a greater impact on whether the user shares the product. Or, for a user who likes to purchase a food product, the number of times the user purchases the product has a greater influence on whether the user shares the product. Or, for a user who likes to purchase an electronic product, the user's evaluation of the product has a greater influence on whether the user shares the product. Therefore, users of different consumption habits have different tendencies to choose to share goods.

Thus, in the present specification, there may be a plurality of scoring models corresponding to the same classification. That is to say, each scoring model in the server can correspond to different user types in addition to the classification corresponding to different information, as shown in Table 3.

table 3

In the correspondence relationship between the scoring model, the user type, and the classification to which the information belongs, it can be seen that different user types are associated, and even under the same information classification, different scoring models can be determined. Moreover, the weight values in different scoring models corresponding to the same category are not completely the same.

Further, in the present specification, the terminal may determine the type of user to which the user belongs according to the record of the user's purchased item and/or the identity information of the user. Then, before determining the user type, the terminal first obtains the record of the user's purchased product and/or the identity information of the user, determines the user type to which the user belongs, and determines each scoring model corresponding to the user type from each scoring model. Finally, for each information to be shared, according to the classification of the information to be shared, from each of the determined scoring models, the scoring model corresponding to the classification is determined again. Of course, if the terminal obtains each scoring model from the server, the terminal may send the record of the purchased product and/or the identity information of the user to the server when the scoring model is obtained from the server, so that the server determines the user of the user. The type, in turn, determines each scoring model corresponding to the user type and returns to the terminal.

Further, in step S106 of the present specification, after selecting at least a part of the product identifier to be shared, the terminal may further display a screening interface including the selected product identifiers to be shared. The information to be shared that is filtered out by the user to be shared information displayed on the screening interface is shared, as shown in FIG. 3 .

FIG. 3 is a schematic diagram of a screening interface provided by the present specification, wherein the screening interface displays a plurality of selected item identifiers, and an option corresponding to each item identifier. For example, the selection box before the product identification is to select whether to share the product, and the option of corresponding product information, product evaluation, and the like is displayed on the other side, so that the user can determine the sharing of the product by selecting different options. Those product information. For example, in FIG. 3, the shared product picture and the product evaluation are selected for the product 1 user, and the product 2 user only selects the shared product picture.

Therefore, in the screening interface shown in FIG. 3, the user selects the displayed information to be shared in the screening, which may specifically be a selection of each option.

Of course, the screening interface shown in FIG. 3 is only an example diagram provided in this specification. Specifically, the screening interface includes which selectable options can be set as needed. For example, an interface for inputting text may be included in the selection interface, so that the user can additionally evaluate or explain each item that needs to be shared, as shown in FIG. 4 . In FIG. 4, it can be seen that each product identifier corresponds to a text input box, so that the user can input text information in each text input box.

In addition, in the present specification, if the terminal displays the screening interface, the user can make further adjustments to the product identifiers to be shared selected by the terminal. That is to say, the terminal selects the product identifier to be shared does not completely meet the needs of the user. Therefore, the terminal can also adjust the model parameters in the scoring model according to the screening of the information to be shared by the user.

Specifically, for each scoring model, the terminal may determine a screening result of the product identifier to be shared that is determined by the scoring model (ie, the user filters the classified product identifier), and then determine the adjustment according to each screening result. parameter. Finally, according to the determined adjustment parameter, the weight value of at least one independent variable of the scoring model is adjusted. The determining the adjustment parameter may be performed by the terminal, according to the selection result of the product identifier to be shared by the user, determining the difference of the input parameters of the product identifier to be shared, and adjusting the weight value in the score result according to the difference.

For example, suppose that for the product 1 and the product 2 corresponding to a certain category, the user selects to share the product 1 without sharing the product 2, and the user evaluations of the product 1 and the product 2 are all favorable, and the user's evaluation of the product can be determined. If the influence of the user sharing the commodity is small, the weight value of the independent variable corresponding to each scoring operation in the scoring model corresponding to the classification may be reduced.

Further, after adjusting the scoring model, the terminal may further store the adjusted scoring model locally, so that if the information sharing needs to be performed again, the product identifier to be shared may be determined according to the locally stored adjusted scoring model. Rating results.

In addition, the information described in the information sharing process provided in this specification may be multimedia information in addition to the product information. Among them, the multimedia information may be video, audio, articles, and the like. This specification does not limit this. The user's historical behavior may be an operation of playing or acquiring multimedia information (such as playing a video, playing an audio, browsing an article, etc.), and an operation of commenting on the multimedia information (eg, posting a message in the video, leaving a message in the comment area of the article, etc.) Etc.), access to multimedia information (eg, download video), and so on. As long as it is an operation on multimedia information, the multimedia information to be shared can be determined according to the operation.

Further, since the multimedia information is also generally classified, the corresponding scoring model can be determined corresponding to the multimedia information of different classifications. For example, videos can be divided into movies, TV shows, short films, or classified as funny videos, documentary videos, and the like by content. Of course, since multimedia classification is already a commonly used means for existing information management, the classification of multimedia information will not be described in detail herein.

Further, the scoring model determined by the terminal for scoring the multimedia information may also determine the scoring result of the multimedia information according to the operation performed by the user on the multimedia information. For example, users often watch videos they like repeatedly, and when they share videos, they are more likely to share videos that have been viewed repeatedly. Or, users will comment on articles that they understand more deeply, and users may have a higher need to share such articles, and so on. Of course, as described above in the specification, the present specification does not limit the specific content of the scoring model, and each scoring model can be set as needed.

In addition, in order to facilitate the operation, in the process of determining the multimedia information, the terminal may perform step S102 to step S106 according to the identifier of the multimedia information, and complete the information according to the identifier of the multimedia information and share the information before sharing.

It should be noted that the execution bodies of the steps of the method provided by the embodiments of the present disclosure may all be the same device, or the method may also be performed by different devices. For example, the execution body of step S100 and step S102 may be device 1, and the execution body of step S102 may be device 2; or the execution body of step S100 may be device 1, and the execution body of step S102 and step S104 may be device 2; and many more. The foregoing description of the specific embodiments of the specification has been described. Other embodiments are within the scope of the following claims. In some cases, the actions or steps recited in the claims can be performed in a different order than the embodiments and still achieve the desired results. In addition, the processes depicted in the figures are not necessarily in a particular order or in a sequential order to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

Based on the method of information sharing shown in FIG. 1, the embodiment of the present specification further provides an information sharing apparatus, as shown in FIG. 5.

FIG. 5 is a schematic structural diagram of an information sharing apparatus according to an embodiment of the present disclosure, where the apparatus includes:

The information determining module 200 determines a plurality of information to be shared according to the historical behavior data of the user;

The model determining module 202 determines, for each information to be shared, a scoring model corresponding to the classification according to the classification of the information to be shared;

The scoring module 204, for each information to be shared, determining an input parameter input to the scoring model according to an operation performed by the user on the information to be shared, and inputting the input parameter to the scoring model, Obtaining a rating result of the information to be shared;

The sharing module 206 selects at least part of the information to be shared according to the score result of each information to be shared, and shares the information.

The historical behavior data includes at least: a consumption record of the purchased item of the user and/or a product browsing record of the user, and the information includes at least: item information.

The information determining module 200 acquires a consumption record of the user to purchase the commodity, and determines a plurality of commodity information to be shared.

For each category of product information, there are multiple scoring models corresponding to the same category, and the scoring module 204 determines the user to which the user belongs according to the record of the purchased item of the user and/or the identity information of the user. Type, from each of the scoring models corresponding to the classification, determining a scoring model corresponding to the user type.

The sharing module 206 displays the selected at least part of the information to be shared in the screening interface, and the information to be shared that is filtered by the user in the information to be shared displayed on the screening interface is shared.

The sharing module 206, after sharing, adjusts the model parameters in the scoring model according to the information to be shared selected by the user in the information to be shared displayed on the screening interface for each scoring model.

The sharing module 206 receives a sharing instruction sent by the user before sharing, and the sharing instruction does not specify the information to be shared.

Based on the information sharing method described in FIG. 1 , the present specification provides a terminal, as shown in FIG. 6 , wherein the terminal includes: one or more processors and a memory, the memory stores a program, and is configured to The following steps are performed by one or more processors:

In the 1990s, improvements to a technology could clearly distinguish between hardware improvements (eg, improvements to circuit structures such as diodes, transistors, switches, etc.) or software improvements (for process flow improvements). However, as technology advances, many of today's method flow improvements can be seen as direct improvements in hardware circuit architecture. Designers almost always get the corresponding hardware circuit structure by programming the improved method flow into the hardware circuit. Therefore, it cannot be said that the improvement of a method flow cannot be implemented by hardware entity modules. For example, a Programmable Logic Device (PLD) (such as a Field Programmable Gate Array (FPGA)) is an integrated circuit whose logic function is determined by the user programming the device. Designers program themselves to "integrate" a digital system on a single PLD without having to ask the chip manufacturer to design and fabricate a dedicated integrated circuit chip. Moreover, today, instead of manually making integrated circuit chips, this programming is mostly implemented using "logic compiler" software, which is similar to the software compiler used in programming development, but before compiling The original code has to be written in a specific programming language. This is called the Hardware Description Language (HDL). HDL is not the only one, but there are many kinds, such as ABEL (Advanced Boolean Expression Language). AHDL (Altera Hardware Description Language), Confluence, CUPL (Cornell University Programming Language), HDCal, JHDL (Java Hardware Description Language), Lava, Lola, MyHDL, PALASM, RHDL (Ruby Hardware Description Language), etc., are currently the most commonly used VHDL (Very-High-Speed Integrated Circuit Hardware Description Language) and Verilog. It should also be apparent to those skilled in the art that the hardware flow for implementing the logic method flow can be easily obtained by simply programming the method flow into the integrated circuit with a few hardware description languages.

The controller can be implemented in any suitable manner, for example, the controller can take the form of, for example, a microprocessor or processor and a computer readable medium storing computer readable program code (eg, software or firmware) executable by the (micro)processor. In the form of logic gates, switches, application specific integrated circuits (ASICs), programmable logic controllers, and embedded microcontrollers, examples of controllers include, but are not limited to, the following microcontrollers: ARC 625D, Atmel AT91SAM, The Microchip PIC18F26K20 and the Silicone Labs C8051F320, the memory controller can also be implemented as part of the memory's control logic. Those skilled in the art will also appreciate that in addition to implementing the controller in purely computer readable program code, the controller can be logically programmed by means of logic gates, switches, ASICs, programmable logic controllers, and embedding. The form of a microcontroller or the like to achieve the same function. Such a controller can therefore be considered a hardware component, and the means for implementing various functions included therein can also be considered as a structure within the hardware component. Or even a device for implementing various functions can be considered as a software module that can be both a method of implementation and a structure within a hardware component.

The system, device, module or unit illustrated in the above embodiments may be implemented by a computer chip or an entity, or by a product having a certain function. A typical implementation device is a computer. Specifically, the computer can be, for example, a personal computer, a laptop computer, a cellular phone, a camera phone, a smart phone, a personal digital assistant, a media player, a navigation device, an email device, a game console, a tablet computer, a wearable device, or A combination of any of these devices.

For the convenience of description, the above devices are described separately by function into various units. Of course, the functions of each unit may be implemented in the same software or software and/or hardware when implementing the present application.

The present invention has been described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (system), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flowchart illustrations and/or FIG. These computer program instructions can be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing device to produce a machine for the execution of instructions for execution by a processor of a computer or other programmable data processing device. Means for implementing the functions specified in one or more of the flow or in a block or blocks of the flow chart.

The computer program instructions can also be stored in a computer readable memory that can direct a computer or other programmable data processing device to operate in a particular manner, such that the instructions stored in the computer readable memory produce an article of manufacture comprising the instruction device. The apparatus implements the functions specified in one or more blocks of a flow or a flow and/or block diagram of the flowchart.

These computer program instructions can also be loaded onto a computer or other programmable data processing device such that a series of operational steps are performed on a computer or other programmable device to produce computer-implemented processing for execution on a computer or other programmable device. The instructions provide steps for implementing the functions specified in one or more of the flow or in a block or blocks of a flow diagram.

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

The memory may include non-persistent memory, random access memory (RAM) and/or non-volatile memory in a computer readable medium such as read only memory (ROM) or flash memory. Memory is an example of a computer readable medium.

Computer readable media includes both permanent and non-persistent, removable and non-removable media. Information storage can be implemented by any method or technology. The information can be computer readable instructions, data structures, modules of programs, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read only memory. (ROM), electrically erasable programmable read only memory (EEPROM), flash memory or other memory technology, compact disk read only memory (CD-ROM), digital versatile disk (DVD) or other optical storage, Magnetic tape cartridges, magnetic tape storage or other magnetic storage devices or any other non-transportable media can be used to store information that can be accessed by a computing device. As defined herein, computer readable media does not include temporary storage of computer readable media, such as modulated data signals and carrier waves.

It is also to be understood that the terms "comprises" or "comprising" or "comprising" or any other variations are intended to encompass a non-exclusive inclusion, such that a process, method, article, Other elements not explicitly listed, or elements that are inherent to such a process, method, commodity, or equipment. An element defined by the phrase "comprising a ..." does not exclude the presence of additional equivalent elements in the process, method, item, or device including the element.

Those skilled in the art will appreciate that embodiments of the present application can be provided as a method, system, or computer program product. Thus, the present application can take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment in combination of software and hardware. Moreover, the application can take the form of a computer program product embodied on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) including computer usable program code.

The application can be described in the general context of computer-executable instructions executed by a computer, such as a program module. Generally, program modules include routines, programs, objects, components, data structures, and the like that perform particular tasks or implement particular abstract data types. The present application can also be practiced in distributed computing environments where tasks are performed by remote processing devices that are connected through a communication network. In a distributed computing environment, program modules can be located in both local and remote computer storage media including storage devices.

The various embodiments in the specification are described in a progressive manner, and the same or similar parts between the various embodiments may be referred to each other, and each embodiment focuses on the differences from the other embodiments. In particular, for the system embodiment, since it is basically similar to the method embodiment, the description is relatively simple, and the relevant parts can be referred to the description of the method embodiment.

The above description is only an embodiment of the present application and is not intended to limit the application. Various changes and modifications can be made to the present application by those skilled in the art. Any modifications, equivalents, improvements, etc. made within the spirit and scope of the present application are intended to be included within the scope of the appended claims.

Claims

A method of information sharing, including:

Determining a number of information to be shared according to the historical behavior data of the user;

Determining, according to the classification of the information to be shared, the scoring model corresponding to the classification for each information to be shared;

Determining an input parameter input to the scoring model according to the operation performed by the user on the information to be shared, and inputting the input parameter to the scoring model to obtain the to-be-shared Rating of the information;

According to the rating result of each information to be shared, at least part of the information to be shared is selected and shared.
The method of claim 1, the historical behavior data comprising at least: a record of the user's purchased merchandise and/or a merchandise browsing record of the user;

The information includes at least: product information.
The method of claim 2, wherein there are a plurality of scoring models corresponding to the same classification;

Determining, according to the classification of the information to be shared, a scoring model corresponding to the classification, specifically:

Determining, according to the record of the purchased item of the user and/or the identity information of the user, the type of the user to which the user belongs;

A scoring model corresponding to the user type is determined from each scoring model corresponding to the classification.
The method of claim 1, selecting at least part of the information to be shared for sharing, specifically comprising:

Displaying at least part of the selected information to be shared in the screening interface;

And the information to be shared that is filtered out by the user in the information to be shared displayed on the screening interface is shared.
The method of claim 4, after the sharing, the method further comprises:

For each scoring model, the model parameters in the scoring model are adjusted according to the information to be shared selected by the user in the information to be shared displayed on the screening interface.
The method of claim 1, before the sharing, the method further comprising:

Receiving a sharing instruction sent by the user, the sharing instruction does not specify the information to be shared.
A device for information sharing, comprising:

The information determining module determines a plurality of information to be shared according to the historical behavior data of the user;

a model determining module, for each information to be shared, determining a scoring model corresponding to the classification according to the classification of the information to be shared;

a scoring module, for each information to be shared, determining an input parameter input to the scoring model according to an operation performed by the user on the information to be shared, and inputting the input parameter to the scoring model to obtain The rating result of the information to be shared;

The sharing module selects at least part of the information to be shared according to the rating result of each information to be shared, and shares the information.
The apparatus according to claim 7, wherein said historical behavior data includes at least: a record of said user's purchased item and/or said user's item browsing record, said information including at least: item information.
The apparatus according to claim 8, wherein there are a plurality of scoring models corresponding to the same category, and the scoring module determines the user to which the user belongs according to the record of the purchased item of the user and/or the identity information of the user. Type, from each of the scoring models corresponding to the classification, determining a scoring model corresponding to the user type.
The device of claim 7, the sharing module displays at least part of the selected information to be shared in the screening interface, and selects the to-be-shared information displayed by the user on the screening interface. Share the information and share it.
The device of claim 10, after the sharing module performs sharing, for each scoring model, according to the information to be shared selected by the user in the information to be shared displayed on the screening interface, The model parameters in the scoring model.
The device according to claim 7, wherein the sharing module receives a sharing instruction sent by the user before sharing, and the sharing instruction does not specify the information to be shared.
A terminal, wherein the terminal comprises: one or more processors and a memory, the memory storing a program, and being configured to perform the following steps by one or more processors:

Determining a number of information to be shared according to the historical behavior data of the user;

Determining, according to the classification of the information to be shared, the scoring model corresponding to the classification for each information to be shared;

Determining an input parameter input to the scoring model according to the operation performed by the user on the information to be shared, and inputting the input parameter to the scoring model to obtain the to-be-shared Rating of the information;

According to the rating result of each information to be shared, at least part of the information to be shared is selected and shared.