CN112148971A - Data processing method and device, electronic equipment and readable storage medium - Google Patents
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Abstract
The embodiment of the disclosure provides a data processing method, a data processing device, an electronic device and a readable storage medium, wherein the method comprises the following steps: sending candidate questions and candidate answers corresponding to the candidate questions to a target user terminal; under the condition that a target user is determined to share a target topic selected from the candidate topics to a target object, recording the target topic selected by the target user and a target answer corresponding to the selected target topic; and analyzing the recorded target questions and target answers corresponding to the target questions. The embodiment of the disclosure can improve the accuracy of collecting the user preference information, and further improve the accuracy of information recommendation.
Description
Technical Field
Embodiments of the present disclosure relate to the field of internet technologies, and in particular, to a data processing method and apparatus, an electronic device, and a readable storage medium.
Background
With the development of internet technology, more and more merchants or service providers provide goods or services for users through internet platforms, such as shopping websites, takeaway websites, or other websites providing goods or services, and users can select goods or services on the internet platforms according to their own needs, which brings great convenience to users.
In order to enable a user to timely and accurately acquire required information from massive information, a commodity or service platform usually collects historical behavior information of the user to analyze interest and preference of the user, and screens and sorts information provided by the platform according to an analysis result, so that information meeting personalized requirements of the user is recommended to the user.
However, the historical behavior information of the user has historical limitations, and the interest and preference of the user obtained by analyzing the historical behavior information of the user are one-sidedly, so that the personalized requirements of the user are difficult to meet.
Disclosure of Invention
The embodiment of the disclosure provides a data processing method and device, an electronic device and a readable storage medium, which are used for improving the accuracy of collecting user preference information and further improving the accuracy of information recommendation.
According to a first aspect of embodiments of the present disclosure, there is provided a data processing method, the method including:
sending candidate questions and candidate answers corresponding to the candidate questions to a target user terminal;
under the condition that a target user is determined to share a target topic selected from the candidate topics to a target object, recording the target topic selected by the target user and a target answer corresponding to the selected target topic;
and analyzing the recorded target questions and target answers corresponding to the target questions.
According to a second aspect of embodiments of the present disclosure, there is provided a data processing apparatus, the apparatus comprising:
the candidate sending module is used for sending the candidate questions and the candidate answers corresponding to the candidate questions to the target user terminal;
the target recording module is used for recording a target topic selected by a target user and a target answer corresponding to the selected target topic under the condition that the target user is determined to share the target topic selected by the candidate topic to a target object;
and the analysis processing module is used for analyzing and processing the recorded target questions and the target answers corresponding to the target questions.
According to a third aspect of embodiments of the present disclosure, there is provided an electronic apparatus including:
processor, memory and computer program stored on the memory and executable on the processor, characterized in that the processor implements the aforementioned data processing method when executing the program.
According to a fourth aspect of embodiments of the present disclosure, there is provided a readable storage medium, wherein instructions, when executed by a processor of an electronic device, enable the electronic device to perform the aforementioned data processing method.
The embodiment of the disclosure provides a data processing method, a data processing device, an electronic device and a readable storage medium, wherein the method comprises the following steps: sending candidate titles and candidate answers corresponding to the candidate titles to a target user terminal, recording the target titles selected by the target user and the target answers corresponding to the selected target titles under the condition that the target user is determined to share the target titles selected in the candidate titles to a target object, and analyzing the recorded target titles and the target answers corresponding to the target titles.
And under the condition that the target user is determined to share the target subject to the target object, the target user is proved to have certain preference on the target subject and is willing to share the target subject to relatives and friends to participate in answer interaction. Therefore, the target topic selected by the target user and the target answer corresponding to the selected target topic can be recorded and analyzed. By analyzing and processing the target item and the target answer selected by the target user, more accurate preference information of the target user can be obtained, and further information services which meet the requirements of the target user can be provided for the target user, such as recommending commodity information which meets the purchasing requirements of the target user better, providing search results which meet the search requirements of the target user better, and the like.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present disclosure, the drawings needed to be used in the description of the embodiments of the present disclosure will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present disclosure, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without inventive exercise.
FIG. 1 shows a flow diagram of the steps of a data processing method in one embodiment of the present disclosure;
FIG. 2 shows a block diagram of a data processing device in one embodiment of the present disclosure;
fig. 3 shows a block diagram of an electronic device provided by an embodiment of the present disclosure.
Detailed Description
Technical solutions in the embodiments of the present disclosure will be clearly and completely described below with reference to the drawings in the embodiments of the present disclosure, and it is apparent that the described embodiments are some, but not all, of the embodiments of the present disclosure. All other embodiments, which can be obtained by a person skilled in the art without making creative efforts based on the embodiments of the present disclosure, belong to the protection scope of the embodiments of the present disclosure.
Example one
Referring to fig. 1, a flow diagram of the steps of a data processing method in one embodiment of the present disclosure is shown, the method comprising:
102, under the condition that a target user is determined to share a target topic selected from the candidate topics to a target object, recording the target topic selected by the target user and a target answer corresponding to the selected target topic;
and 103, analyzing the recorded target questions and target answers corresponding to the target questions.
The data processing method provided by the disclosure can be applied to Internet platforms, such as e-commerce platforms, service providing platforms, information retrieval platforms and the like. The internet platform comprises a server and at least one user terminal, and the server is used for providing information service for the user terminal. The server is connected with one or more user terminals through a network to perform data interaction. The Network may be the internet, one or more intranets, LANs (Local Area networks), WLANs (Wireless Local Area networks), SANs (Storage Area networks), etc., or any suitable combination thereof.
The server may be a cluster of servers or a cloud server. The user terminal includes but is not limited to: smart phones, tablet computers, electronic book readers, MP3 (Moving Picture Experts Group Audio Layer III) players, MP4 (Moving Picture Experts Group Audio Layer IV) players, laptop portable computers, car-mounted computers, desktop computers, set-top boxes, smart televisions, wearable devices, and the like.
The user terminal can provide a human-computer interaction interface for a user, and the implementation form of the human-computer interaction interface can be a webpage, an application page, a window and the like.
In order to improve the accuracy of the collected user information and further improve the accuracy of analyzing the user preference, the user information is collected and analyzed in a mode of making questions by the user and inviting friends to answer the questions. Specifically, the server may send the candidate question and the candidate answer corresponding to the candidate question to the target user terminal, and the target user terminal may display the candidate question and the candidate answer corresponding to the candidate question through a human-computer interaction interface. The target user can select interested candidate topics from the candidate topics as target topics and share the target topics to the target object. The target object refers to other users having an association relationship with the target user, for example, the target object may be at least one contact selected by the target user through the target user terminal. For another example, the target object may be at least one social object selected by the target user in a social group through the target user terminal, and the like.
It can be understood that the specific manner in which the target user shares the selected target topic with the target object is not limited in the embodiment of the present disclosure. For example, the sharing may be performed by instant messaging, social group sharing, scanning a two-dimensional code, and the like.
And under the condition that the target user is determined to share the target topic to the target object, the target user is shown to have certain interest preference on the target topic, and the target user is willing to share the target topic to friends to participate in answer interaction together. Therefore, the target topic selected by the target user and the target answer corresponding to the selected target topic can be recorded and analyzed. By analyzing and processing the target item and the target answer selected by the target user, the preference information of the target user can be obtained, and further, information services which are more in line with the requirements of the target user can be provided for the target user, such as recommending commodity information which is more in line with the purchasing requirements of the target user, providing search results which are more in line with the search requirements of the target user, and the like.
In addition, after the target user shares the target subject to the target object, the target object can participate in the answering activity. Furthermore, the target object can share the target questions to expand the number of users participating in the answering activity, increase interactivity and interestingness of the answering activity, further mobilize enthusiasm of the target users for making the questions and mobilize enthusiasm of the target object for participating in the answering, further increase the number of the target users for making the questions, and improve data quantity of collected user information, so that accuracy of the collected user information can be improved, and accuracy of analyzing user preference information can be improved.
It should be noted that, in specific implementation, the embodiment of the present disclosure does not limit the sequence of the step of recording the target topic selected by the target user and the target answer corresponding to the selected target topic, and the step of determining that the target user shares the selected target topic with the target object.
For example, after it is determined that a target user shares a target topic selected by the target user to a target object, recording the target topic selected by the target user and a target answer corresponding to the selected target topic; or after receiving a target topic selected by the target user from the candidate topics and a target answer corresponding to the selected target topic, and before determining that the target user shares the selected target topic with the target object, recording the target topic selected by the target user and the target answer corresponding to the selected target topic.
In an optional embodiment of the present disclosure, before the step 101 sends the candidate topic and the candidate answer corresponding to the candidate topic to the target user terminal, the method may further include: and selecting candidate questions having an association relation with the target user and candidate answers corresponding to the candidate questions from a preset question bank.
The embodiment of the disclosure can pre-establish a preset question bank, and the preset question bank stores pre-generated candidate questions and candidate answers corresponding to the candidate questions. Before sending a candidate topic and a candidate answer corresponding to the candidate topic to a target user terminal, a candidate topic having an association relationship with the target user and a candidate answer corresponding to the candidate topic may be selected from a preset topic library. Wherein, the preset question bank can be stored in a user terminal or a server.
The preset question bank comprises at least one of a user general question bank, a user personalized question bank and a user customized question bank. In specific application, all users can correspond to the same user general question bank, that is, the candidate questions in the user general question bank are the same for all users, and the common characteristics of all users are reflected. For different users, different user personalized question banks are established in the embodiment of the disclosure, and the different user personalized question banks can be distinguished through user identifications. The candidate questions in the user personalized question bank are established according to the personalized features of different users, and the individual features of different users are reflected. The user-defined questions in the question bank can be created for the user through a preset interface.
In one example, assume that the user universal question bank includes the following candidate questions: "do you plan to deduce the taste of cherries, guess if i are willing to try? ", the candidate topic can be used as a candidate topic of all target users, and the candidate answer corresponding to the candidate topic includes: "willing" and "unwilling". The candidate topic and the candidate answer may be sent to all target user terminals. In another example, for target user a, assuming that it is known that target user a likes to eat white brownies, the personalized question bank of target user a may include the following candidate questions: what seasoning is most likely to be dipped when guessing that I eat the white rice dumplings? ", the candidate topic can be used as a candidate topic of the target user a, and it is assumed that the candidate answer corresponding to the candidate topic includes: "sugar", "salt", "sesame paste", "leek flower", may send the candidate question and candidate answer to the terminal of target user a. For target user B, assuming that it is known that target user B likes to eat meat brownies, the personalized question bank of target user B may include the following candidate questions: "guessing what meat is generally selected by the fresh meat zongzi", the candidate topic may be used as a candidate topic of the target user B, and it is assumed that the candidate answer corresponding to the candidate topic includes: the "pork", "beef", "mutton", and "fish" may transmit the candidate title and the candidate answer to the terminal of the target user B.
It is understood that the specific type and number of the preset question bank are not limited by the embodiments of the present disclosure. For example, the preset question bank may further include an intelligence-improving question bank, a brand question bank, and the like. The intelligence developmental question library can comprise test questions of entertainment properties. The brand question bank may include research questions related to the brand of the merchant, for example, "do you want to buy but do you plan new cars? ".
In practical application, a preset question bank of a corresponding type can be established according to user preference dimensions acquired as required. Taking e-commerce application scenarios as an example, the user preference dimension may include: a commodity attribute preference dimension, a brand preference dimension, a price preference dimension, and the like. According to the target questions and the target answers selected by the target users, the consumption preference of the target users can be analyzed more accurately, the problem that the analyzed user preference is one-sided based on historical data in the prior art can be solved, and the accuracy of analyzing the user preference can be improved so as to meet the real-time requirements of the users.
Further, in the process of constructing the preset question bank, a question which is strongly associated with the user can be generated so as to enhance the attractiveness and pertinence of the question to the user, and further more targeted user preferences can be collected.
Optionally, the embodiment of the present disclosure may further construct a preset question bank according to user attributes, where the user attributes include, but are not limited to, age, gender, occupation, marriage, and so on. For example, a special preset question bank may be constructed for a young female, and in the case where the target user is determined to be a young female, a candidate question may be selected for the target user from the preset question bank to analyze preference information of the young female.
In an optional embodiment of the present disclosure, before the step 101 of sending the candidate topic and the candidate answer corresponding to the candidate topic to the target user terminal, the method may further include: and generating the candidate questions and candidate answers corresponding to the candidate questions according to a preset strategy.
Further, the generating the candidate question and the candidate answer corresponding to the candidate question according to a preset policy may specifically include:
generating candidate questions related to the service platform information and candidate answers corresponding to the candidate questions based on an association strategy of the service platform information; and/or
And generating the candidate questions related to the user information and the candidate answers corresponding to the candidate questions based on the association strategy of the user information.
The preset policy includes, but is not limited to, an association policy based on service platform information and/or an association policy based on user information. The association policy based on the service platform information indicates that the generated candidate question and the candidate answer have an association relation with the service platform information. And the association strategy based on the user information means that the generated candidate question and the candidate answer have an association relation with the user information. In particular implementations, any one of the preset policies may be selected, or a combination of multiple preset policies may be selected.
In an optional embodiment of the present disclosure, the service platform information includes, but is not limited to, at least one of hot search information, sales volume information, conversion rate information, and consumption scenario information, and the user information includes, but is not limited to, at least one of user portrait information, user location information, and user behavior information.
Example 1, candidate topics generated based on hot-search information in service platform information are as follows: "guess which ones of the following most popular hot search products i want to purchase? ", the candidate answers include: "Qin forest bubble water", "coconut jelly" and "turkey noodles". In example 1, "forest air bubble", "coconut jelly", "turkey meal" are the top three search terms of the hot search list collected in real time.
Example 2, candidate topics generated based on consumption scenarios in service platform information are as follows: "guess me to eat the following essential ingredients of chafing dish? ", the candidate answers include: "meat," "vegetables," "snacks," "fish," "mushrooms," "green leaf vegetables," … … in example 2, the consumption scenario of the current service platform is a hot pot restaurant.
Example 3, generating candidate topics for user a based on user portrait information in user information is as follows: "guess which are i's most like to eat below? ", the candidate answers include: "meat", "vegetables", "snack", "dessert", … … in example 3, "meat", "vegetables", "snack", "dessert", etc. are preferred food types of the user a from the user image of the user a.
Example 4, generating candidate topics for user B based on user location information in the user information is as follows: what are the hot listed commodities I eat in the area below guess? ", the candidate answers include: "tokyo", "triclout" … … in example 4, "tokyo", "triclout", and the like are position information that appears in the history behavior data of the user B.
It should be noted that, the candidate topic and the candidate answer corresponding to the candidate topic are generated based on the association policy of the service platform information and/or the association policy of the user information, and are only used as an application example of the embodiment of the present disclosure. In specific application, the preset strategy can be flexibly set according to actual requirements. For example, an association policy based on brand information, or the like may also be set. Further, the preset strategy can be pre-established and continuously updated in an iterative manner, and the preset question bank can be updated in real time according to the iterative updating of the preset strategy and the change of platform data.
Wherein the user behavior information includes but is not limited to: the behavior information of the user browsing the webpage, the behavior information of the user searching the keyword, the behavior information of the user making a comment, the behavior information of the user purchasing a commodity and the like.
Alternatively, different types of user behavior information may be collected for different application scenarios. Taking e-commerce application scenarios as an example, behavior information of purchasing commodities by users can be collected. Specifically, the behavior information of the user purchasing the commodity includes, but is not limited to, any one or more of the following: search for merchandise, click on merchandise, browse merchandise, join a shopping cart, purchase merchandise, etc. The behavior information of the user for purchasing the commodity can reflect the consumption preference of the user, the purchasing intention of the user can be analyzed according to the consumption preference of the user, and then the commodity information which accords with the purchasing intention can be recommended to the user, so that the accuracy of commodity information recommendation is improved.
Further, the user behavior information may include real-time behavior information of the user and/or historical behavior information of the user. It is considered that the user's clicking or searching behavior may be a rising operation at a moment and does not necessarily have a purchasing intention. Therefore, the purchasing intention of the user can be analyzed by combining the real-time behavior information of the user and/or the historical behavior information of the user, the accuracy of determining the purchasing intention of the user can be further improved, and the accuracy of recommending the commodity information can be further improved.
It should be noted that, in the embodiment of the present disclosure, a specific application scenario is not limited, and for convenience of description, an e-commerce application scenario is taken as an example in the embodiment of the present disclosure, and other application scenarios may be referred to each other.
In an optional embodiment of the present disclosure, the sending, to the target user terminal, the candidate topic and the candidate answer corresponding to the candidate topic in step 101 may specifically include: and under the condition that the target user triggers a preset operation through the target user terminal, sending the candidate questions and the candidate answers corresponding to the candidate questions to the target user terminal.
Further, the preset operation includes, but is not limited to, any one of the following: the operation of generating an order, the operation of browsing a preset page and the operation of inquiring information.
In the embodiment of the present disclosure, in a case that it is determined that a target user generates an order through the target user terminal, a candidate topic and a candidate answer corresponding to the candidate topic may be sent to the target user terminal. Further, under the condition that it is determined that the target user generates an order through the target user terminal, a candidate topic having an association relationship with the currently generated order and a candidate answer corresponding to the candidate topic may be sent to the target user. The association may include association with an attribute of the item in the order, association with a brand of the item in the order, and the like.
For the e-commerce application scene, the operation of browsing the preset page can be the operation of browsing a merchant homepage, a commodity detail page, a merchant public number page, a playing interface of a live broadcast room and the like. The operation of querying the information may be an operation of querying the commodity on a commodity search interface.
Of course, the preset operation is not limited to the above operation of generating an order, the operation of browsing a preset page, and the operation of querying information, and the preset operation may be any operation performed by the target user on the target user terminal.
In an optional embodiment of the present disclosure, before the step 101 of sending the candidate topic and the candidate answer corresponding to the candidate topic to the target user terminal, the method may further include: sending an inquiry message for whether to issue a question to a target user terminal;
The method and the device for sending the candidate questions and the candidate answers corresponding to the candidate questions send the inquiry information whether the questions are agreed to the target user terminal or not to the target user terminal before sending the candidate questions and the candidate answers corresponding to the candidate questions to the target user terminal, and the candidate questions and the candidate answers corresponding to the candidate questions are sent to the target user terminal under the condition that the agreement of the target user is obtained, so that unnecessary interference brought to the target user is avoided.
In an optional embodiment of the present disclosure, after the analyzing and processing the recorded target topic and the target answer corresponding to the target topic in step 103, the method may further include:
step S11, generating first recommendation information corresponding to the target user according to the analysis processing result;
and step S12, sending the first recommendation information to the target user terminal.
The target topic and the target answer corresponding to the target topic are obtained through the active behavior of the target user, and the tendency preference of the target user can be reflected, so that the recorded target topic and the target answer corresponding to the target topic are analyzed, the preference information of the target user can be obtained, further, the first recommendation information corresponding to the target user can be generated according to the preference information of the target user, and the first recommendation information is sent to the target user terminal. The first recommendation information is generated according to the preference information of the target user obtained through analysis, the preference information of the target user is better met, and the accuracy of information recommendation can be improved.
Taking an e-commerce application scenario as an example, the first recommendation information may include a recommended commodity and/or a recommended coupon.
Further, by sending different types of candidate titles to the target user, different dimensions of preference information of the target user can be collected, and then the purchase category preference, purchase ability preference, purchase brand preference and the like of the target user can be analyzed. Wherein the purchased goods preference is garment, electronic product, food, sports outdoor, etc. Such as low purchasing power, medium purchasing power, high purchasing power, etc. Purchasing brand preferences such as popular brands, upscale brands, luxury brands, and the like.
According to the purchasing category preference, the purchasing ability preference, the purchasing brand preference and other multi-dimension preference information of the target user, the recommended commodity and/or the recommended coupon corresponding to the target user can be generated. Through the embodiment of the disclosure, more accurate and refined commodity information recommendation can be realized, the user experience can be improved, and the coupon resources can be saved.
In an optional embodiment of the present disclosure, after determining that the target user shares the selected target topic in the candidate topics to the target object in step 102, the method may further include:
step S21, receiving a response answer fed back by the target object to the target question;
step S22, generating second recommendation information corresponding to the target user according to the answer of the target object to the response of the target subject to the target question;
and step S23, sending the second recommendation information to the target user terminal.
In the embodiment of the present disclosure, the target object may be a friend, a classmate, a family, or the like of the target user, and has a strong association relationship with the target user, and a reply answer fed back by the target object to the target question may reflect preference information of the target user to a certain extent. Therefore, according to the response answer fed back by the target object to the target topic, the embodiment of the disclosure generates second recommendation information corresponding to the target user, and sends the second recommendation information to the target user terminal.
Taking an e-commerce application scenario as an example, the second recommendation information may include a recommended commodity and/or a recommended coupon.
In one example, target user a will target the topic "chafing dish and barbeque, which i prefer? "share to target object F. If the answer to the response fed back by the target user F in the answering process is "hot pot", second recommendation information related to the hot pot may be generated and sent to the terminal of the target user a. For example, the content of the second recommendation information may be "your friend F recommends xx chafing dish to you, go to the trial bar! ". As another example, the content of the second recommendation information may be a coupon for "send your xx chafing dish, go to the trial bar! ".
It should be noted that, the pushing manner of the first recommendation information and the second recommendation information is not limited in the embodiment of the present disclosure. For example, the first recommendation information and/or the second recommendation information may be sent to the target user through an instant communication message. Or when the target user is determined to enter the user side APP of the e-commerce platform, the first recommendation information and/or the second recommendation information and the like can be sent to the target user.
In an optional embodiment of the present disclosure, after receiving a response answer fed back by the target object to the target topic, the method may further include:
step S31, comparing the answer to the target answer to obtain a comparison result;
step S32, analyzing the association degree between the target object and the target user according to the comparison result;
step S33, recording the answer of the target object to the target question, the comparison result and the correlation degree;
step S34, analyzing the recorded answer, the comparison result, and the degree of association.
After receiving a response answer fed back by a target object to the target question, the embodiment of the present disclosure may compare the response answer with the target answer to obtain a comparison result, where the comparison result may be used to represent a matching degree between the response answer and the target answer. Through the comparison result, the degree of association between the target object and the target user can be analyzed. For example, the higher the matching degree of the answer to the target answer, the higher the association degree between the target object and the target user is.
The embodiment of the disclosure may record the response answer, the comparison result, and the association degree fed back by the target object to the target question, and analyze and process the recorded response answer, the comparison result, and the association degree. Therefore, the information collection of the target user and the social relationship of the target user, and the analysis and collection of the preference information of the target user can be realized.
In an optional embodiment of the present disclosure, after determining that the target user shares the selected target topic in the candidate topics to the target object in step 102, the method may further include: and issuing the reward corresponding to the sharing operation to the target user.
The reward corresponding to the sharing operation issued to the target user may include a material reward and/or a mental reward. Wherein the material reward includes, but is not limited to, at least one of: reward points, coupons, red packs, virtual items, etc. The mental reward includes, but is not limited to, at least one of: medals, leaderboard ranks, etc.
According to the embodiment of the invention, the preference information of the target user is collected in the answering interaction mode, the interest of the user in participation can be improved in the information collection process, the participation degree of the user can be increased, the data quantity of the target user for selecting the target question is improved, and the accuracy of information collection is further improved.
In an optional embodiment of the present disclosure, after obtaining the alignment result in step S31, the method may further include: and issuing a reward corresponding to the comparison result to the target object.
After determining that the target object participates in the answering activity of the target question, the embodiment of the disclosure may issue a corresponding reward to the target object according to a comparison result between the answer feedback by the target object and the target answer. Specifically, the higher the matching degree of the comparison result is, the higher the issued reward is.
Wherein, the reward issued to the target object can comprise a physical reward and/or a mental reward. Wherein the material reward includes, but is not limited to, at least one of: reward points, coupons, red packs, virtual items, etc. The mental reward includes, but is not limited to, at least one of: medals, leaderboard ranks, etc.
By issuing a reward corresponding to the comparison result to the target object, the enthusiasm of the target object for participating in the answering activity can be mobilized. Further, after the target object is determined to share the target title, awards corresponding to the sharing operation can be issued to the target object. Therefore, the enthusiasm of the target object for inviting friends of the target object to participate in answering is mobilized, the sharing and fission of the questions are enhanced, the data volume of information acquisition is increased, and the accuracy of information analysis and processing is further improved.
In an optional embodiment of the present disclosure, the number of the target objects may be greater than or equal to 1, and the issuing of the reward corresponding to the sharing operation to the target user may specifically include: and issuing rewards corresponding to the number of the successfully shared target objects to the target users.
In one example, after it is determined that target user a shares the target title selected by target user a to target object C, a reward of successful first-time sharing may be issued to target user a. After the target user A is determined to share the target topic selected by the target user A to the target object C and then to share the target object D, the reward of successful sharing for the second time can be issued to the target user A. By analogy, the larger the number of target objects successfully shared by the target user is, the more rewards are obtained.
By the embodiment of the disclosure, a question sharing function can be provided for users, candidate questions are dynamically generated for target users according to a preset strategy, corresponding rewards are issued to the target users under the condition that the target users select the target questions from the candidate questions and share the target objects, and the corresponding rewards are issued to the target objects according to the comparison results of the reply answers and the target answers of the target objects under the condition that the reply answers fed back by the target objects to the target questions are received. According to the embodiment of the method and the device, the interestingness of user participation is enhanced, the enthusiasm of user participation is mobilized, meanwhile, participation behavior data of participating users (including target users, target objects and other users shared by the target objects), user information data of the participating users and behavior result data of the participating users can be collected, the collected data are stored and analyzed, and finally, a preference collection system of social group users based on real-time business data of an e-commerce platform can be set up to improve the accuracy of recommendation information under the e-commerce scene.
In summary, the embodiment of the present disclosure may send the candidate titles and the candidate answers corresponding to the candidate titles to the target user terminal, and record the target titles selected by the target user and the target answers corresponding to the selected target titles and analyze the recorded target titles and the target answers corresponding to the target titles under the condition that it is determined that the target user shares the target titles selected by the candidate titles with the target object.
And under the condition that the target user is determined to share the target subject to the target object, the target user is proved to have certain preference on the target subject and is willing to share the target subject to relatives and friends to participate in answer interaction. Therefore, the target topic selected by the target user and the target answer corresponding to the selected target topic can be recorded and analyzed. By analyzing and processing the target item and the target answer selected by the target user, more accurate preference information of the target user can be obtained, and further information services which meet the requirements of the target user can be provided for the target user, such as recommending commodity information which meets the purchasing requirements of the target user better, providing search results which meet the search requirements of the target user better, and the like.
It is noted that, for simplicity of description, the method embodiments are described as a series of acts or combination of acts, but those skilled in the art will recognize that the disclosed embodiments are not limited by the described order of acts, as some steps may occur in other orders or concurrently with other steps in accordance with the disclosed embodiments. Further, those skilled in the art will appreciate that the embodiments described in the specification are presently preferred and that no particular act is required of the disclosed embodiments.
Example two
Referring to fig. 2, a block diagram of a data processing device in one embodiment of the present disclosure is shown, as follows.
A candidate sending module 201, configured to send a candidate topic and a candidate answer corresponding to the candidate topic to a target user terminal;
a target recording module 202, configured to record a target topic selected by a target user and a target answer corresponding to the selected target topic under a condition that it is determined that the target user shares a target topic selected by the candidate topic with a target object;
and the analysis processing module 203 is configured to perform analysis processing on the recorded target topic and the target answer corresponding to the target topic.
Optionally, the apparatus further comprises:
and the candidate generating module is used for generating the candidate questions and the candidate answers corresponding to the candidate questions according to a preset strategy.
Optionally, the candidate generation module includes:
the first generation submodule is used for generating candidate questions related to the service platform information and candidate answers corresponding to the candidate questions based on an association strategy of the service platform information; and/or
And the second generation submodule is used for generating the candidate questions related to the user information and the candidate answers corresponding to the candidate questions based on the association strategy of the user information.
Optionally, the service platform information includes at least one of hot search information, sales information, conversion rate information, and consumption scenario information, and the user information includes at least one of user portrait information, user location information, and user behavior information.
Optionally, the candidate sending module is specifically configured to send the candidate topic and the candidate answer corresponding to the candidate topic to the target user terminal under the condition that it is determined that the target user triggers the preset operation through the target user terminal.
Optionally, the preset operation includes any one of: the operation of generating an order, the operation of browsing a preset page and the operation of inquiring information.
Optionally, the apparatus further comprises:
and the first reward issuing module is used for issuing the reward corresponding to the sharing operation to the target user.
Optionally, the number of the target objects is greater than or equal to 1, and the first reward issuance module is specifically configured to issue rewards corresponding to the number of the target objects successfully shared to the target user.
Optionally, the apparatus further comprises:
the first recommendation information generation module is used for generating first recommendation information corresponding to the target user according to the analysis processing result;
and the first pushing module is used for sending the first recommendation information to the target user terminal.
Optionally, the apparatus further comprises:
the answer receiving module is used for receiving a reply answer fed back by the target object to the target question;
the second recommendation information generation module is used for generating second recommendation information corresponding to the target user according to a response answer fed back to the target question by the target object;
and the second pushing module is used for sending the second recommendation information to the target user terminal.
Optionally, the apparatus further comprises:
the answer comparison module is used for comparing the answer answers with the target answers to obtain comparison results;
the relation analysis module is used for analyzing the association degree between the target object and the target user according to the comparison result;
the data recording module is used for recording the answer response, the comparison result and the association degree of the target object to the target question;
and the data analysis module is used for analyzing and processing the recorded answer to the answer, the comparison result and the correlation degree.
Optionally, the apparatus further comprises:
and the second reward issuing module is used for issuing a reward corresponding to the comparison result to the target object.
Optionally, the apparatus further comprises:
the inquiry module is used for sending an inquiry message for asking whether to ask questions to the target user terminal;
the candidate sending module is specifically configured to send the candidate topic and the candidate answer corresponding to the candidate topic to the target user terminal when receiving the confirmation message returned by the target user for the inquiry message.
And under the condition that the target user is determined to share the target subject to the target object, the target user is proved to have certain preference on the target subject and is willing to share the target subject to relatives and friends to participate in answer interaction. Therefore, the target topic selected by the target user and the target answer corresponding to the selected target topic can be recorded and analyzed. By analyzing and processing the target item and the target answer selected by the target user, more accurate preference information of the target user can be obtained, and further information services which meet the requirements of the target user can be provided for the target user, such as recommending commodity information which meets the purchasing requirements of the target user better, providing search results which meet the search requirements of the target user better, and the like.
For the device embodiment, since it is basically similar to the method embodiment, the description is simple, and for the relevant points, refer to the partial description of the method embodiment.
The embodiments in the present specification are described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same and similar parts among the embodiments are referred to each other.
With regard to the apparatus in the above-described embodiment, the specific manner in which each module performs the operation has been described in detail in the embodiment related to the method, and will not be elaborated here.
An embodiment of the present disclosure also provides an electronic device, referring to fig. 3, including: a processor 301, a memory 302 and a computer program 3021 stored on the memory and executable on the processor, which when executed implements the data processing method of the foregoing embodiments.
Embodiments of the present disclosure also provide a readable storage medium, in which instructions, when executed by a processor of an electronic device, enable the electronic device to perform the data processing method of the foregoing embodiments.
For the device embodiment, since it is basically similar to the method embodiment, the description is simple, and for the relevant points, refer to the partial description of the method embodiment.
The algorithms and displays presented herein are not inherently related to any particular computer, virtual machine, or other apparatus. Various general purpose systems may also be used with the teachings herein. The required structure for constructing such a system will be apparent from the description above. In addition, embodiments of the present disclosure are not directed to any particular programming language. It is appreciated that a variety of programming languages may be used to implement the teachings of the embodiments of the present disclosure as described herein, and any descriptions of specific languages are provided above to disclose the best modes of the embodiments of the present disclosure.
In the description provided herein, numerous specific details are set forth. However, it is understood that embodiments of the present disclosure may be practiced without these specific details. In some instances, well-known methods, structures and techniques have not been shown in detail in order not to obscure an understanding of this description.
Similarly, it should be appreciated that in the foregoing description of exemplary embodiments of the disclosure, various features of the embodiments of the disclosure are sometimes grouped together in a single embodiment, figure, or description thereof for the purpose of streamlining the disclosure and aiding in the understanding of one or more of the various inventive aspects. However, the disclosed method should not be interpreted as reflecting an intention that: that is, claimed embodiments of the disclosure require more features than are expressly recited in each claim. Rather, as the following claims reflect, inventive aspects lie in less than all features of a single foregoing disclosed embodiment. Thus, the claims following the detailed description are hereby expressly incorporated into this detailed description, with each claim standing on its own as a separate embodiment of an embodiment of this disclosure.
Those skilled in the art will appreciate that the modules in the device in an embodiment may be adaptively changed and disposed in one or more devices different from the embodiment. The modules or units or components of the embodiments may be combined into one module or unit or component, and furthermore they may be divided into a plurality of sub-modules or sub-units or sub-components. All of the features disclosed in this specification (including any accompanying claims, abstract and drawings), and all of the processes or elements of any method or apparatus so disclosed, may be combined in any combination, except combinations where at least some of such features and/or processes or elements are mutually exclusive. Each feature disclosed in this specification (including any accompanying claims, abstract and drawings) may be replaced by alternative features serving the same, equivalent or similar purpose, unless expressly stated otherwise.
The various component embodiments of the disclosure may be implemented in hardware, or in software modules running on one or more processors, or in a combination thereof. It will be appreciated by those skilled in the art that a microprocessor or Digital Signal Processor (DSP) may be used in practice to implement some or all of the functions of some or all of the components in a sequencing device according to embodiments of the present disclosure. Embodiments of the present disclosure may also be implemented as an apparatus or device program for performing a portion or all of the methods described herein. Such programs implementing embodiments of the present disclosure may be stored on a computer readable medium or may be in the form of one or more signals. Such a signal may be downloaded from an internet website or provided on a carrier signal or in any other form.
It should be noted that the above-mentioned embodiments illustrate rather than limit embodiments of the disclosure, and that those skilled in the art will be able to design alternative embodiments without departing from the scope of the appended claims. In the claims, any reference signs placed between parentheses shall not be construed as limiting the claim. The word "comprising" does not exclude the presence of elements or steps not listed in a claim. The word "a" or "an" preceding an element does not exclude the presence of a plurality of such elements. Embodiments of the disclosure may be implemented by means of hardware comprising several distinct elements, and by means of a suitably programmed computer. In the unit claims enumerating several means, several of these means may be embodied by one and the same item of hardware. The usage of the words first, second and third, etcetera do not indicate any ordering. These words may be interpreted as names.
It is clear to those skilled in the art that, for convenience and brevity of description, the specific working processes of the above-described systems, apparatuses and units may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
The above description is only for the purpose of illustrating the preferred embodiments of the present disclosure and is not to be construed as limiting the embodiments of the present disclosure, and any modifications, equivalents, improvements and the like that are made within the spirit and principle of the embodiments of the present disclosure are intended to be included within the scope of the embodiments of the present disclosure.
The above description is only a specific implementation of the embodiments of the present disclosure, but the scope of the embodiments of the present disclosure is not limited thereto, and any person skilled in the art can easily conceive of changes or substitutions within the technical scope of the embodiments of the present disclosure, and all the changes or substitutions should be covered by the scope of the embodiments of the present disclosure. Therefore, the protection scope of the embodiments of the present disclosure shall be subject to the protection scope of the claims.
Claims (28)
1. A method of data processing, the method comprising:
sending candidate questions and candidate answers corresponding to the candidate questions to a target user terminal;
under the condition that a target user is determined to share a target topic selected from the candidate topics to a target object, recording the target topic selected by the target user and a target answer corresponding to the selected target topic;
and analyzing the recorded target questions and target answers corresponding to the target questions.
2. The method of claim 1, wherein before sending the candidate topic and the candidate answer corresponding to the candidate topic to the target user terminal, the method further comprises:
and generating the candidate questions and candidate answers corresponding to the candidate questions according to a preset strategy.
3. The method according to claim 2, wherein the generating the candidate topics and the candidate answers corresponding to the candidate topics according to a preset policy comprises:
generating candidate questions related to the service platform information and candidate answers corresponding to the candidate questions based on an association strategy of the service platform information; and/or
And generating the candidate questions related to the user information and the candidate answers corresponding to the candidate questions based on the association strategy of the user information.
4. The method of claim 3, wherein the service platform information comprises at least one of hot search information, sales information, conversion rate information, and consumption scenario information, and wherein the user information comprises at least one of user profile information, user location information, and user behavior information.
5. The method of claim 1, wherein the sending the candidate topic and the candidate answer corresponding to the candidate topic to the target ue comprises:
and under the condition that the target user triggers a preset operation through the target user terminal, sending the candidate questions and the candidate answers corresponding to the candidate questions to the target user terminal.
6. The method of claim 5, wherein the preset operation comprises any one of: the operation of generating an order, the operation of browsing a preset page and the operation of inquiring information.
7. The method according to claim 1, wherein after determining that the target user shares the selected target topic of the candidate topics to the target object, the method further comprises:
and issuing the reward corresponding to the sharing operation to the target user.
8. The method according to claim 7, wherein the number of the target objects is greater than or equal to 1, and the issuing of the reward corresponding to the sharing operation to the target user includes:
and issuing rewards corresponding to the number of the successfully shared target objects to the target users.
9. The method according to claim 1, wherein after analyzing and processing the recorded target topic and the target answer corresponding to the target topic, the method further comprises:
generating first recommendation information corresponding to the target user according to the analysis processing result;
and sending the first recommendation information to the target user terminal.
10. The method according to claim 1, wherein after determining that the target user shares the selected target topic of the candidate topics to the target object, the method further comprises:
receiving a reply answer fed back by the target object to the target topic;
generating second recommendation information corresponding to the target user according to a response answer fed back by the target object to the target question;
and sending the second recommendation information to the target user terminal.
11. The method of claim 10, wherein after receiving a response answer from the target object to the target topic, the method further comprises:
comparing the answer to the target answer to obtain a comparison result;
analyzing the association degree between the target object and the target user according to the comparison result;
recording a response answer, the comparison result and the association degree fed back by the target object to the target question;
and analyzing and processing the recorded answer, the comparison result and the correlation degree.
12. The method of claim 11, wherein after obtaining the alignment result, the method further comprises:
and issuing a reward corresponding to the comparison result to the target object.
13. The method of claim 1, wherein before sending the candidate topic and the candidate answer corresponding to the candidate topic to the target user terminal, the method further comprises:
sending an inquiry message for whether to issue a question to a target user terminal;
the sending of the candidate question and the candidate answer corresponding to the candidate question to the target user terminal includes:
and under the condition of receiving a confirmation message returned by the target user to the inquiry message, sending a candidate topic and a candidate answer corresponding to the candidate topic to the target user terminal.
14. A data processing apparatus, characterized in that the apparatus comprises:
the candidate sending module is used for sending the candidate questions and the candidate answers corresponding to the candidate questions to the target user terminal;
the target recording module is used for recording a target topic selected by a target user and a target answer corresponding to the selected target topic under the condition that the target user is determined to share the target topic selected by the candidate topic to a target object;
and the analysis processing module is used for analyzing and processing the recorded target questions and the target answers corresponding to the target questions.
15. The apparatus of claim 14, further comprising:
and the candidate generating module is used for generating the candidate questions and the candidate answers corresponding to the candidate questions according to a preset strategy.
16. The apparatus of claim 15, wherein the candidate generation module comprises:
the first generation submodule is used for generating candidate questions related to the service platform information and candidate answers corresponding to the candidate questions based on an association strategy of the service platform information; and/or
And the second generation submodule is used for generating the candidate questions related to the user information and the candidate answers corresponding to the candidate questions based on the association strategy of the user information.
17. The apparatus of claim 16, wherein the service platform information comprises at least one of hot search information, sales information, conversion information, and consumption scenario information, and wherein the user information comprises at least one of user profile information, user location information, and user behavior information.
18. The apparatus according to claim 14, wherein the candidate sending module is specifically configured to send a candidate topic and a candidate answer corresponding to the candidate topic to the target user terminal when it is determined that a target user triggers a preset operation through the target user terminal.
19. The apparatus of claim 18, wherein the preset operation comprises any one of: the operation of generating an order, the operation of browsing a preset page and the operation of inquiring information.
20. The apparatus of claim 14, further comprising:
and the first reward issuing module is used for issuing the reward corresponding to the sharing operation to the target user.
21. The apparatus according to claim 20, wherein the number of the target objects is greater than or equal to 1, and the first reward issuance module is specifically configured to issue, to the target user, a reward corresponding to the number of the target objects that are successfully shared.
22. The apparatus of claim 14, further comprising:
the first recommendation information generation module is used for generating first recommendation information corresponding to the target user according to the analysis processing result;
and the first pushing module is used for sending the first recommendation information to the target user terminal.
23. The apparatus of claim 14, further comprising:
the answer receiving module is used for receiving a reply answer fed back by the target object to the target question;
the second recommendation information generation module is used for generating second recommendation information corresponding to the target user according to a response answer fed back to the target question by the target object;
and the second pushing module is used for sending the second recommendation information to the target user terminal.
24. The apparatus of claim 23, further comprising:
the answer comparison module is used for comparing the answer answers with the target answers to obtain comparison results;
the relation analysis module is used for analyzing the association degree between the target object and the target user according to the comparison result;
the data recording module is used for recording the answer response, the comparison result and the association degree of the target object to the target question;
and the data analysis module is used for analyzing and processing the recorded answer to the answer, the comparison result and the correlation degree.
25. The apparatus of claim 24, further comprising:
and the second reward issuing module is used for issuing a reward corresponding to the comparison result to the target object.
26. The apparatus of claim 14, further comprising:
the inquiry module is used for sending an inquiry message for asking whether to ask questions to the target user terminal;
the candidate sending module is specifically configured to send the candidate topic and the candidate answer corresponding to the candidate topic to the target user terminal when receiving the confirmation message returned by the target user for the inquiry message.
27. An electronic device, comprising:
processor, memory and computer program stored on the memory and executable on the processor, characterized in that the processor implements the data processing method according to any of claims 1-13 when executing the program.
28. A readable storage medium, characterized in that instructions in the storage medium, when executed by a processor of an electronic device, enable the electronic device to perform the data processing method according to any of method claims 1-13.
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