CN111198984A

CN111198984A - User group screening method and device and electronic equipment

Info

Publication number: CN111198984A
Application number: CN201811368678.XA
Authority: CN
Inventors: 崔莲莲
Original assignee: Alibaba Group Holding Ltd
Current assignee: Hema China Co Ltd
Priority date: 2018-11-16
Filing date: 2018-11-16
Publication date: 2020-05-26

Abstract

The embodiment of the application discloses a user group screening method, a user group screening device and electronic equipment, wherein the method comprises the following steps: establishing a condition meta-information base, wherein the condition meta-information base comprises a plurality of condition elements, and the condition elements comprise configuration items on a plurality of dimensions connected by at least one connecting word in series so as to express corresponding retrieval conditions in a natural statement manner; after receiving a user group screening request, providing selectable condition elements and receiving configuration information of configuration items in the selected condition elements; determining a logical relationship between a plurality of configured different condition elements; and combining the condition elements which are configured and the logic relation into a user group retrieval condition. By the embodiment of the application, the user selection by circles under the conditions of high order of magnitude and highly complex data relation can be met, and the accurate effect of selection by circles is guaranteed.

Description

User group screening method and device and electronic equipment

Technical Field

The present application relates to the field of user group screening technologies, and in particular, to a user group screening method and apparatus, and an electronic device.

Background

In a user object oriented platform system, a user sub-group often needs to be selected based on some user characteristic or characteristics, and this process may be called user selection or user grouping. After the user selection is completed, the selected user can be further taken as a target user to implement a specific activity, for example, activity information is pushed to the selected user, and a specific interest (such as issuing a coupon) is given, so as to realize various personalized interactions and services. On the other hand, for the operation of the platform system, the behavior of the circled specific group of users can be tracked and analyzed, so as to achieve the purposes of evaluating the market reaction after the product is put in, or evaluating the final effect after a certain activity is initiated, and the like. Therefore, in the big data analysis work of the Internet platform system, accurate user selection is the basis, and the method has very important significance for user statistical analysis and data mining, development of services and products, marketing strategy formulation and the like.

In the prior art, the user selection tool can only provide some simple condition settings. For example, some selectable user feature dimensions are provided, including age, gender, occupation, hobbies, behaviors, and the like, and then, by setting attribute values on the feature dimensions, the user is selected. However, as the running time of the platform system increases, the data involved in data analysis often shows an accelerated increase, the magnitude of the user data and the complexity of the data relationship both increase sharply, and this also brings new challenges to the user selection application of big data. This phenomenon is particularly prominent in some systems with very large data volume and complex services. For example, in an enterprise of a new retail service, the user group includes not only online users but also offline users consuming to a physical store, so that the user behavior data in the system is more complex, and the existing user selection tool often cannot meet the setting of complex selection conditions. For example, in a scenario, it is necessary to find customers who purchase seafood products of 99 dollars at Bima Beijing stores from 4 months 18 to 4 months 24 days in order to issue coupons valid for 7 days to such customers. It may be even more complicated, for example, to find 4 months 18 to 4 months 24, to purchase seafood products up to 99 dollars at box-horse beijing stores, and to purchase customers with seafood products up to 199 dollars at box-horse kayak stores, to issue coupons to them, and so forth. When the conventional user selection tool is used for selection, complicated condition setting is required, and even the complicated condition setting is difficult to accurately express because corresponding dimensions and the like are not provided in advance.

Therefore, how to satisfy the user selection by circles under the conditions of high order of magnitude and highly complex data relationship and ensure the accurate effect of selection by circles is a technical problem to be solved by the technical personnel in the field.

Disclosure of Invention

The application provides a user group screening method, a user group screening device and electronic equipment, user selection in circle under the conditions of high order of magnitude and highly complex data relation is met, and the accurate effect of selection in circle is guaranteed.

The application provides the following scheme:

a user group screening method comprises the following steps:

establishing a condition meta-information base, wherein the condition meta-information base comprises a plurality of condition elements, and the condition elements comprise configuration items on a plurality of dimensions connected by at least one connecting word in series so as to express corresponding retrieval conditions in a natural statement manner;

after receiving a user group screening request, providing selectable condition elements and receiving configuration information of configuration items in the selected condition elements;

determining a logical relationship between a plurality of configured different condition elements;

and combining the condition elements which are configured and the logic relation into a user group retrieval condition.

An information delivery method, comprising:

determining user group screening condition information corresponding to information to be delivered, wherein the screening condition is formed by combining a plurality of condition elements which are configured and logic relation information between the condition elements, and the condition elements comprise configuration items on a plurality of dimensions which are formed by connecting at least one connecting word in series so as to be used for expressing corresponding retrieval conditions in a natural statement mode;

screening out a user group meeting the conditions from a user information database by using the screening conditions;

and delivering information to the qualified user groups.

A user information acquisition method comprises the following steps:

determining screening condition information of a user group, wherein the screening condition is formed by combining a plurality of condition elements which are configured and logic relation information among the condition elements, the condition elements comprise configuration items on a plurality of dimensions which are formed by connecting at least one connecting word in series, and the condition elements are used for expressing corresponding retrieval conditions in a natural sentence mode;

and collecting the characteristics of the user group on a target dimension so as to design the push information according with the preference of the user group.

An information push method, comprising:

obtaining information of a user related to the geographical position of the target entity shop;

and judging whether the user meets the screening condition, and if so, pushing information related to the target entity shop to a client associated with the user.

A user population screening apparatus comprising:

the system comprises a condition meta-information base establishing unit, a condition meta-information base establishing unit and a retrieval unit, wherein the condition meta-information base comprises a plurality of condition elements, the condition elements comprise configuration items on a plurality of dimensions, and the configuration items are formed by connecting at least one connecting word in series and are used for expressing corresponding retrieval conditions in a natural statement mode;

the configuration information receiving unit is used for providing selectable condition elements after receiving the user group screening request and receiving configuration information of configuration items in the selected condition elements;

the logic relation determining unit is used for determining the logic relation among the configured different condition elements;

and the retrieval condition determining unit is used for combining the condition elements which are configured and completed and the logic relation into a user group retrieval condition.

An information delivery apparatus, comprising:

the system comprises a condition determining unit, a searching unit and a searching unit, wherein the condition determining unit is used for determining user group screening condition information corresponding to information to be launched, the screening condition is formed by combining a plurality of condition elements which are configured and logic relation information between the condition elements, the condition elements comprise configuration items on a plurality of dimensions which are formed by connecting at least one connecting word in series, and the condition elements are used for expressing corresponding searching conditions in a natural statement mode;

the user group determining unit is used for screening out the user groups meeting the conditions from the user information database by utilizing the screening conditions;

and the information releasing unit is used for releasing information to the qualified user groups.

A user information collecting apparatus comprising:

the condition determining unit is used for determining screening condition information of a user group, wherein the screening condition is formed by combining a plurality of condition elements which are configured and logic relation information between the condition elements, the condition elements comprise configuration items on a plurality of dimensions which are formed by connecting at least one connecting word in series, and the condition elements are used for expressing corresponding retrieval conditions in a natural statement mode;

and the characteristic acquisition unit is used for acquiring the characteristics of the user group on a target dimension so as to design the push information conforming to the preference of the user group.

An information pushing apparatus comprising:

the system comprises a user information obtaining unit, a user information obtaining unit and a user information obtaining unit, wherein the user information obtaining unit is used for obtaining information of a user related to the geographical position of a target entity shop;

and the information pushing unit is used for judging whether the user meets the screening condition or not, and if so, pushing information related to the target entity shop to a client associated with the user.

An electronic device, comprising:

one or more processors; and

a memory associated with the one or more processors for storing program instructions that, when read and executed by the one or more processors, perform operations comprising:

According to the specific embodiments provided herein, the present application discloses the following technical effects:

through the embodiment of the application, the condition meta-information base can be established in advance, wherein the condition meta-information base comprises a plurality of condition elements, and the condition elements comprise configuration items in a plurality of dimensions, which are formed by connecting at least one connecting word in series, so that the condition elements are used for expressing corresponding retrieval conditions in a natural sentence mode. Therefore, when user group screening is carried out, the user group can be decomposed into a plurality of condition elements according to the certainty target, and logic relations can be set among different condition elements. That is to say, for complex screening conditions, the system can combine the completed screening conditions by only disassembling the complex screening conditions into a plurality of condition elements expressed in a natural sentence form and setting the logic relationship between the condition elements, so that the screening conditions can be conveniently and accurately set for the user group screening in the complex scene by the method, and the efficiency and the accuracy are improved.

Of course, it is not necessary for any product to achieve all of the above-described advantages at the same time for the practice of the present application.

Drawings

In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings needed to be used in the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and it is obvious for those skilled in the art to obtain other drawings without creative efforts.

FIG. 1 is a schematic diagram of a system architecture provided by an embodiment of the present application;

FIG. 2 is a flow chart of a first method provided by an embodiment of the present application;

3-1 through 3-8 are schematic diagrams of configuration interfaces provided by embodiments of the present application;

FIG. 4 is a flow chart of a second method provided by embodiments of the present application;

FIG. 5 is a flow chart of a third method provided by embodiments of the present application;

FIG. 6 is a flow chart of a fourth method provided by embodiments of the present application;

FIG. 7 is a schematic diagram of a first apparatus provided by an embodiment of the present application;

FIG. 8 is a schematic diagram of a second apparatus provided by an embodiment of the present application;

FIG. 9 is a schematic diagram of a third apparatus provided by an embodiment of the present application;

FIG. 10 is a schematic diagram of a fourth apparatus provided by an embodiment of the present application;

fig. 11 is a schematic diagram of an electronic device provided in an embodiment of the present application.

Detailed Description

The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. All other embodiments that can be derived from the embodiments given herein by a person of ordinary skill in the art are intended to be within the scope of the present disclosure.

In the embodiment of the present application, in order to support more complicated filtering condition settings, the filtering condition may be broken down into a plurality of condition elements, and the condition elements in the embodiment of the present application may express the corresponding search condition in a natural sentence manner, instead of a simple key-value pair manner. That is to say, in the embodiment of the present application, the condition elements may include configuration items in multiple dimensions formed by connecting at least one connection word in series, so that each condition element is a natural sentence convenient for a user to understand, and when configuring a complex filtering condition, only the condition elements expressed in a natural language need to be disassembled, and a logical relationship between the condition elements is set, so that the system can finally combine into a complete retrieval condition.

In a specific implementation, the number of selectable condition elements may be large, and therefore, for convenience of selection, the condition elements may be further classified to obtain a plurality of condition element categories. In this way, when configuring the condition elements, a first operation option for adding a condition group may be provided first, and a selectable condition element category may be provided, so that the condition elements of the same category may be selected and configured in each condition group. Moreover, the logic relations among different condition groups can be set, including intersection, union, difference and the like, and various complex conditions can be combined through a plurality of condition elements in the same condition group and the logic relations among a plurality of different condition groups, so that the user screening requirement of the user in a complex scene is met. The conditional element category may be divided according to the service provided by the target application system for the user and the user-related data recorded in the process of using the service provided in the target application system by the user. For example, in an application system providing a commodity object sales service, a user performs a purchasing behavior of a commodity object through the system, and accordingly, the condition element categories can be divided into: behavior compliance, attribute satisfaction, tag preferences, etc. In this way, the characteristics of the user population can be characterized from a plurality of different angles, respectively. When adding a condition group, the user may first select a condition element category, and then set a condition element in the specific condition element category. In addition, under the condition of adding a plurality of condition groups, operation options for setting logical relations among different condition groups can be provided, so that the condition groups can be set under a plurality of condition element categories, each condition group can comprise a plurality of condition elements, and different condition groups can have definite logical relations, so that various complex screening conditions can be combined, and user group selection under complex scenes is supported. Further, by presenting the condition element category information, the user can easily understand the meaning of each condition element, and the specific screening condition can be expressed more accurately.

In specific implementation, from the perspective of specific system architecture, as shown in fig. 1, a server may be deployed, and the server may be dedicated to a specific application system, or may provide a user selection service for multiple application systems. The server may provide a plurality of optional condition elements in advance according to the service provided for the user in the target application system, the user-related data recorded in the process of using the service provided in the target application system by the user, and the like. In addition, the server can also provide a related configuration interface, the configuration interface can exist in the form of a webpage and the like, and staff and the like in the application system can access through an application program such as a browser of the terminal device so as to realize the coil selection of the user group. Of course, in another mode, the relevant client may be provided for the user in the form of an application program, and so on.

The following describes in detail specific implementations in the embodiments of the present application.

Example one

The first embodiment provides a user group screening method, specifically, referring to fig. 2, the method may specifically include:

s201: establishing a condition meta-information base, wherein the condition meta-information base comprises a plurality of condition elements, and the condition elements comprise configuration items on a plurality of dimensions connected by at least one connecting word in series so as to express corresponding retrieval conditions in a natural statement manner;

in the embodiment of the present application, a condition element information base may be established in advance, where each condition element may be used to describe a specific search condition by way of a natural statement. Specifically, each condition element may include configuration items in multiple dimensions connected in series by at least one connection word. That is to say, in the embodiment of the present application, each condition element may correspond to a natural statement, instead of attribute value information corresponding to a single dimension, such as a key value, and therefore, the condition element may be easily understood by a human, thereby conveniently implementing setting of a screening condition and achieving the purpose of accurate screening.

That is to say, in a specific implementation, a dimension that can be co-occurring in the natural language expression process may not be simply configured in a specific condition element, and a corresponding connection word and a corresponding configuration item may be provided to enable the same condition element to be expressed in a manner that configuration results of configuration items in multiple dimensions are connected into a natural language. Whether specific dimensions can be co-represented in the same condition element or not can be determined according to expression modes of user groups in daily life, for example, the shopping times are frequently co-represented with dimensions such as shopping time, shopping places and the like, and the expression is expressed by how many times the shopping times are reached in a certain time period in a certain place, and the like. Therefore, after the user selects the dimension of "purchase times", configuration items in the dimensions of time, store, and the like can be provided so as to be configured in the same condition element. This allows, on the one hand, to reduce the number of conditional elements and, on the other hand, to make it possible to express a conditional element as a statement described in natural language instead of as a word. That is, in the embodiment of the present application, each condition element may correspond to a sentence expressed in natural language understandable by human, which may make it more convenient for a user to perform condition configuration, without taking much time to understand the meaning of a specific configuration item and the combined specific condition expression result. For example, in a condition element, the first item is selected as "action number", that is, the screening is performed in the dimension of action number. Other configuration items and corresponding conjunctions, including "at …", "of", etc., may also be subsequently presented. The other configuration items may be configuration items in other dimensions such as a specific time dimension and a store dimension, and may be used to configure specific date interval values, days of the week, and which store, and the like, and the specific configuration manner may include inputting (for example, date information) or selecting from preset options (for example, information of the day of the week). Or may assist in completing the configuration by automatically matching some common information, such as common fridays to sundays, etc. After the configuration items are configured, the generated condition element can correspond to a natural sentence formed by information such as time, place, people and the like. For example, one condition element for completing configuration may be: on friday, saturday, and sunday between 2018-05-01 to 2018-05-30, the number of behavior of purchasing goods in a certain physical store > -1.

S202: after receiving a user group screening request, providing selectable condition elements and receiving configuration information of configuration items in the selected condition elements;

under the condition that the condition element is provided, after a user group screening request is received, a selectable condition element can be provided, and then configuration items in the selected condition element can be configured. For example, in the foregoing example, information in dimensions of a date interval, a day of the week, a name of an entity store, a number of purchases, and the like in a certain condition element may be configured and connected into one natural sentence.

S203: determining a logical relationship between a plurality of configured different condition elements;

after the configuration of each condition element is completed, the logical relationship between a plurality of different condition elements may also be determined, and for example, the logical relationship may specifically include a logical and, a logical or, and the like.

S204: and combining the condition elements which are configured and the logic relation into a user group retrieval condition.

After a plurality of condition elements expressed by natural sentences and the logical relationship among the condition elements are determined, specific user group search conditions can be combined, and then the conditions are utilized for searching.

In a specific implementation, the number of selectable condition elements may be large, and therefore, for convenience of selection, the condition elements may be further classified to obtain a plurality of condition element categories. In this way, when configuring the condition elements, a first operation option for adding a condition group may be provided first, and a selectable condition element category may be provided, so that the condition elements of the same category may be selected and configured in each condition group. Specifically, when the user population screening condition needs to be set, the operation option for the newly added condition group may be provided first, and then the setting of the specific condition element may be performed in the group. That is, a condition element is a specific condition in a condition group, and each condition group may generally include one or more condition elements. For each condition element in the same condition group, a default may be set to "and", that is, a logical and relationship, and for the logical relationship between different condition groups, the default may be set as required. Thus, in addition to providing operational options for the newly added condition group, operational options for setting a logical relationship with the previous condition group may also be provided. Of course, in a specific implementation, the two options may be combined into one, and when the first condition group is added, since the "previous condition group" does not exist yet, the logical relationship with the previous condition group does not need to be set, and the operation option may be displayed as the "new condition group". Through the operation option, an interface for setting a specific condition element for the condition group can be entered. After the addition of the first condition group is completed, and then other condition groups are added, the operation option can be shown as "or", "and", etc. for words representing logical relationships. At this time, the user may select an operation option corresponding to the specific logical relationship according to actual requirements, at this time, a new condition group may be triggered, and the logical relationship with the previous condition group may be determined at the same time. When a new condition group is added later, the same method is adopted, so that a plurality of condition groups can be added, and the logical relationship among the condition groups can be determined simultaneously.

In specific implementation, after receiving a user group screening request, first providing a first operation option for adding a condition group, providing a selectable condition element category, and after receiving the selected condition element category, providing a condition group configuration interface, and providing a second operation option for adding at least one condition element in the configuration interface. After receiving the operation request through the second operation option, the user may provide the selectable condition meta information in the selected condition meta category, so that the user selects from the condition meta and performs configuration of the corresponding configuration item. Of course, a plurality of condition elements may be set in the set of conditions.

After the configuration of the condition elements in one condition group is completed, a new condition group can be added, in this case, a third operation option for adding the new condition group and configuring the logical relationship between the condition groups can be provided in the condition group configuration interface, and after an operation request is received through the third operation option, an optional condition element category is provided, so that the condition elements under the selected condition element category are added in the newly added condition group, and the logical relationship between the condition groups is determined.

Each condition group corresponds to a condition meta-category, and the condition meta-categories between different condition groups may be the same or different. If the "or" relationship between a certain condition group and the last condition group, the condition meta category corresponding to the last condition group may be the same by default, and if the "and" relationship is the "or" relationship, the selection of the condition meta category may be further continued by the user.

The specific condition element category may be divided according to the service provided by the target application system for the user and the user-related data recorded in the process of using the service provided in the target application system by the user. That is, during the process of using the service provided by a specific application system, the application system usually deposits rich user data, which includes what behaviors the user has performed in the system, behavior attributes, and basic attributes of the user, such as gender, age, academic calendar, occupation, and the like, and may further include user preference information recorded after processing or analyzing the data, tag information added to the user, and the like. However, since different application systems provide different services, the corresponding user data to be deposited are different. In the embodiment of the application, conditions which may occur in a user screening process can be divided into a plurality of categories according to characteristics of user data in a specific service system, so that when user screening conditions are specifically set, a user can more clearly configure the conditions through selection of the condition meta-categories, and in addition, screening conditions in a more complex scene can be more conveniently combined according to logical relations such as 'cross-over and difference' among condition groups through condition classification.

For example, in a specific application scenario, the services provided by a specific application system for a user include: an online and offline combined merchandise object sales service; accordingly, the user-related data recorded during the use of the service provided in the target application system by the user may be user-related data recorded during the purchase of the commodity object by the user using the commodity object sales service. More specifically, the data may be user-related data recorded in a process of purchasing a commodity object in a user-off physical store, the user-related data may be multiple pieces, and each piece of data may include data in multiple fields, for example, specifically, one or more of the following combinations may be included: the occurrence time, the place, the physical shop identification, the commodity object list, the amount information, the purchasing times, the shopping preference information and the personal attribute information of the user.

For the application scenario, the specific condition element categories may be classified into conditions that the behavior meets the category, conditions that the attribute meets the category, and conditions that the tag prefers the category. For example, as shown in FIG. 3-1, the various conditional meta-categories that are optional as described above may be exposed first, when a request for a new set of conditions is first received. Each condition element category may also have a respective condition dimension, for example, the dimension of a behavior compliance category may include one or more of the following: a number of times to purchase the commodity object dimension, a total amount dimension, a time dimension, an entity store dimension, and a commodity object category dimension. The dimensions under which the attributes satisfy the classes may include: radius of life dimension, basic information dimension (e.g., basic age, school calendar, gender, etc.). The dimensions under the tag preference class may include: shopping preference dimensions, existing crowd dimensions (such as numerical controls, beauty controls, and the like) to which the shopping preference dimensions belong, and the like.

After one of the target conditional meta categories is selected, a specific conditional meta-configuration option may be exhibited, as shown in fig. 3-2, and assuming that the selected target conditional meta-category is "behavior-compliant", the conditional meta-configuration options that are subsequently exhibited may be as shown in fig. 3-3. It can be seen that a plurality of condition elements may be added in each condition group, wherein after receiving a request for configuring a condition element in a group, a selectable condition dimension in the target condition element category is provided, and a corresponding configuration item is provided according to the selected condition dimension. In addition, prompt information may also be provided, including prompt keywords and controls for filling in or selecting condition data.

Conditional meta category

After the configuration of one condition element is completed, the condition element of the information may also be added within the current condition group, for example, the request may be initiated through the "add condition" option shown in fig. 3-3, after which the configuration of the next condition element may be performed. For example, the conditional element is selected to be screened in the dimension of "sum total", and accordingly, configuration items for configuring the conditional element in the dimension may be subsequently displayed, and some suggestive keywords may also be included. For example, as shown in fig. 3-4, the condition elements added on the basis of fig. 3-3 are: the sum > is 100 yuan. That is, the actual screening conditions of the first set of conditions are: on friday, saturday, and sunday between 2018-05-01 to 2018-05-30, the number of actions to purchase goods in a certain physical store a > is 1, and the amount is totaled > is 100 dollars.

It should be noted that, for a condition group, after a specific condition element category is selected, the first configured condition element may be generally used as a fixed condition element, and the subsequently added condition elements belong to newly added condition elements. In general, the newly added condition elements can be reconfigured after being deleted, and the fixed condition elements can be set to be in a non-deletable state.

After one or several condition elements are configured, new condition elements can be added continuously, or if the configuration of the condition group is completed, the operation of the newly added condition group can be triggered through the first operation option, and the logic relationship with the last condition group is set. For example, the words "or" and "like buttons in fig. 3-4 may be used to trigger the new condition set, and the above-mentioned logical relationship information may be set. For example, if "or" is clicked, it is equivalent to adding a condition group having an "or" relationship with the previous condition group; if "and" is clicked, it is equivalent to adding a condition group having "and" relationship with the previous condition group. Of course, in practical applications, other options may be provided, such as "remove" or other options representing a "bad" relationship, to express the removal of certain groups from the group selected from the last condition set, and so on.

After clicking a specific operation option for adding a condition group and setting a logical relationship, similar to when creating a condition group for the first time, optional condition element category information can be provided as well. For example, as shown in fig. 3-5, after the "or" option is clicked, selectable conditional meta category information may be presented at the location where the option is located. After selecting a condition meta category, the process of configuring the next condition group can be entered. As shown in fig. 3-6, assuming the selected conditional element category is "behavior-met," then the configuration of the conditional elements within the condition group can be performed. For example, assume that the specifically configured condition elements may be: on fridays, saturdays and sundays during 2018-05-01 to 2018-05-30, the number of times of behavior > of purchasing a commodity in the physical store B under a certain line is 1.

If the yes option is triggered, similarly, as shown in fig. 3-7, optional condition element category information is also displayed, and after one of the condition element categories is selected, the process of configuring the condition elements in the group can be entered. For example, as shown in fig. 3-8, assuming the selected behavior category is attribute satisfaction, configuration items related to attribute satisfaction may be provided, whereby the condition elements within the condition group may be configured. For example, the condition elements of a specific configuration may be: the living radius is in the range of 0km to 3km around Cao's shop, Yanghuan shop, Huiyang square shop.

After completing the configuration of the condition elements in the plurality of condition groups and the configuration of the logical relationship between the condition groups, the server may combine the condition groups according to the logical relationship information, thereby obtaining a complete screening condition expression result. For example, assuming that the states as shown in fig. 3-8 are states in which the configuration of all condition groups and condition elements has been completed, the complete screening condition expression result is: "the number of times of actions of purchasing commodities in a certain physical store a on friday, saturday, and sunday between 2018-05-01 to 2018-05-30 > is 1 and the sum of money > is 100", or "the number of times of actions of purchasing commodities in a physical store B under a certain line on friday, saturday, and sunday during 2018-05-01 to 2018-05-30 > is 1", and "the radius of life is in the range of 0km to 3km around a cafo shop, a yangguan road shop, a franchise square shop". That is, for the complicated user screening requirement as described above, it is also possible to perform accurate expression by the embodiment of the present application, and each condition element may be expressed in the form of a natural sentence, rather than a word one by one, so that it is more convenient for a user to understand.

In specific implementation, because the target population is usually predetermined before submitting the screening requirement, the system can synthesize the condition elements into the final screening condition expression result only by dividing the deterministic target person selection condition into a plurality of condition elements according to the condition element categories and the like defined in the embodiment of the present application and configuring the condition elements and the logical relationship among the condition groups through the platform provided in the embodiment of the present application. Further, the system can use the expression result to perform specific population screening processing.

In summary, according to the embodiment of the present application, a condition meta information base may be established in advance, where the condition meta information base includes a plurality of condition elements, and the condition elements include configuration items in a plurality of dimensions, which are formed by connecting at least one connection word in series, so as to express corresponding search conditions in a natural language manner. Therefore, when user group screening is carried out, the user group can be decomposed into a plurality of condition elements according to the certainty target, and logic relations can be set among different condition elements. That is to say, for complex screening conditions, the system can combine the completed screening conditions by only disassembling the complex screening conditions into a plurality of condition elements expressed in a natural sentence form and setting the logic relationship between the condition elements, so that the screening conditions can be conveniently and accurately set for the user group screening in the complex scene by the method, and the efficiency and the accuracy are improved.

Example two

The second embodiment provides an information delivery method from the perspective of a specific application scenario, and the method mainly aims to screen out some user groups so as to issue related information such as user rights and interests to the user groups. For example, find customers who purchase seafood and aquatic products to 99 yuan in Beijing shop of a certain brand merchant from 4 months 18 to 4 months 24, issue coupons valid for 7 days, and so on. Specifically, referring to fig. 4, the method may specifically include:

s401: determining user group screening condition information corresponding to information to be delivered, wherein the screening condition is formed by combining a plurality of condition elements which are configured and logic relation information between the condition elements, and the condition elements comprise configuration items on a plurality of dimensions which are formed by connecting at least one connecting word in series so as to be used for expressing corresponding retrieval conditions in a natural statement mode;

s402: screening out a user group meeting the conditions from a user information database by using the screening conditions;

s403: and delivering information to the qualified user groups.

EXAMPLE III

The third embodiment is similar to the second embodiment, and from the perspective of another application scenario, a user information acquisition method is provided, in which the purpose of user screening is mainly to know another part of characteristics of a group through part of characteristics of the known group so as to develop marketing planning, delivery reach, effect tracking and the like. For example, find customers who purchased SOS category goods from morning to morning in the last sea area of 4 months and 9 days, observe their shopping preferences and consumption capabilities in other categories to design marketing campaigns that meet their preferences, push offers, observe the consumption of the group of people during the campaign's lifecycle, and so on. Specifically, referring to fig. 5, the method may specifically include:

s501: determining screening condition information of a user group, wherein the screening condition is formed by combining a plurality of condition elements which are configured and logic relation information among the condition elements, the condition elements comprise configuration items on a plurality of dimensions which are formed by connecting at least one connecting word in series, and the condition elements are used for expressing corresponding retrieval conditions in a natural sentence mode;

s502: screening out a user group meeting the conditions from a user information database by using the screening conditions;

s503: and collecting the characteristics of the user group on a target dimension so as to design the push information according with the preference of the user group.

Example four

The fourth embodiment is also similar to the second embodiment, and from the perspective of another application scenario, an information push method is provided, in which a target crowd can be found for a specific offline entity store and relevant information can be pushed to the target crowd based on an online-offline service mode and an offline-offline service mode. For example, if a certain condition is satisfied, a certain entity shop may think of issuing some coupons or pushing some information about information introduction of merchandise objects, introduction of promotion activities, etc. for users who enter a certain range of the location where the certain entity shop is located or users who enter the entity shop. At this time, the user group screening condition may be set in advance, then a specific target user may be selected in combination with the geographical location information of the user, and then related information is pushed, and so on. Specifically, referring to fig. 6, the method may specifically include:

s601: determining screening condition information of a user group, wherein the screening condition is formed by combining a plurality of condition elements which are configured and logic relation information among the condition elements, the condition elements comprise configuration items on a plurality of dimensions which are formed by connecting at least one connecting word in series, and the condition elements are used for expressing corresponding retrieval conditions in a natural sentence mode;

s602: obtaining information of a user related to the geographical position of the target entity shop;

s603: and judging whether the user meets the screening condition, and if so, pushing information related to the target entity shop to a client associated with the user.

Corresponding to the first embodiment, an embodiment of the present application further provides a user group screening apparatus, referring to fig. 7, where the apparatus may specifically include:

a condition meta-information base establishing unit 701, configured to establish a condition meta-information base, where the condition meta-information base includes multiple condition elements, and each condition element includes configuration items in multiple dimensions, where the configuration items are formed by connecting at least one connection word in series, and are used to express a corresponding search condition in a natural sentence manner;

a configuration information receiving unit 702, configured to provide optional condition elements after receiving the user group screening request, and receive configuration information of configuration items in the selected condition elements;

a logical relationship determining unit 703, configured to determine a logical relationship between multiple configured different condition elements;

and a retrieval condition determining unit 704, configured to combine the configured condition elements and the logical relationship into a user group retrieval condition.

When the concrete implementation is carried out, the method can further comprise the following steps:

a condition element category providing unit, configured to divide the condition elements into a plurality of condition element categories according to dimension information of configuration items included in the condition elements;

the configuration information receiving unit may specifically include:

the first operation option providing subunit is used for providing the first operation option of the added condition group and providing selectable condition element categories after receiving the user group screening request;

the second operation option providing subunit is used for providing a condition group configuration interface after receiving the selected condition element category, and providing a second operation option for adding at least one condition element in the configuration interface;

and the conditional element providing subunit is used for providing the selectable conditional element information under the selected conditional element category after receiving the operation request through the second operation option.

The logical relationship determining unit may be specifically configured to determine, by default, a logical relationship between multiple condition elements configured in the same condition group as a logical and relationship.

In addition, the configuration information receiving unit may further include:

a third operation option providing subunit, configured to provide, in the condition group configuration interface, a third operation option for adding a new condition group and configuring a logical relationship between the condition groups;

and the condition inter-group relation determining subunit is used for providing the selectable condition element categories after receiving the operation request through the third operation option, so as to add the condition elements in the selected condition element categories in the newly added condition groups and determine the logical relation among the condition groups.

And dividing the relevant dimension in the condition element with the service provided by the target application system for the user and the user-related data recorded in the process of using the service provided in the target application system by the user.

The service provided by the target application system for the user comprises the following steps: a commodity object sales service;

the user-related data recorded during the user's use of the service provided in the target application system includes: user-related data recorded during a purchase of a commodity object by a user using the commodity object sales service.

Specifically, the user-related data recorded in the process of purchasing the commodity object by the user using the commodity object sales service includes: user-related data recorded during a purchase of a merchandise object in a subscriber physical store, the user-related data comprising a combination of one or more of: the occurrence time, the place, the physical shop identification, the commodity object list, the amount information, the purchasing times, the shopping preference information and the personal attribute information of the user.

Wherein the condition element categories include: behavior conforming classes, attributes satisfying classes, and tag preference classes.

Wherein the behavior conforms to dimensions under a class including one or more of: a number of times to purchase the commodity object dimension, a total amount dimension, a time dimension, an entity store dimension, and a commodity object category dimension.

The dimension under which the attribute satisfies the class includes: radius of life dimension, basic information dimension.

The dimensions under the tag preference class include: shopping preference dimension, existing crowd dimension to which the shopping preference dimension belongs.

Corresponding to the second embodiment, an embodiment of the present application further provides an information delivery apparatus, and referring to fig. 8, the apparatus may include:

a condition determining unit 801, configured to determine user group screening condition information corresponding to information to be delivered, where the screening condition is formed by combining multiple condition elements that are configured and logic relationship information between the condition elements, and the condition elements include configuration items in multiple dimensions that are formed by connecting at least one connection word in series, so as to express corresponding retrieval conditions in a natural statement manner;

a user group determining unit 802, configured to screen a user group meeting the condition from the user information database by using the screening condition;

and an information delivery unit 803, configured to deliver information to the qualified user group.

Corresponding to the three phases of the embodiment, the embodiment of the present application further provides a user information collecting device, referring to fig. 9, the device may include:

a condition determining unit 901, configured to determine screening condition information of a user group, where the screening condition is formed by combining a plurality of configured condition elements and logic relationship information therebetween, where the condition elements include configuration items in a plurality of dimensions that are formed by connecting at least one connection word in series, and are used to express corresponding search conditions in a natural sentence manner;

a user group determining unit 902, configured to screen a user group meeting the condition from the user information database by using the screening condition;

a feature collecting unit 903, configured to collect features of the user group in a target dimension, so as to design push information according with preferences of the user group.

Corresponding to the fourth embodiment, an embodiment of the present application further provides an information pushing apparatus, and referring to fig. 10, the apparatus may include:

a condition determining unit 1001 configured to determine information of a user group screening condition, where the screening condition is formed by combining a plurality of condition elements that are configured and logical relationship information therebetween, and the condition elements include configuration items in a plurality of dimensions that are formed by connecting at least one connection word in series, so as to express corresponding search conditions in a natural sentence manner;

a user information obtaining unit 1002, configured to obtain information of a user related to a geographic location where the target entity store is located;

an information pushing unit 1003, configured to determine whether the user meets the screening condition, and if so, perform information pushing related to the target entity store to a client associated with the user.

In addition, an embodiment of the present application further provides an electronic device, including:

one or more processors; and

Where fig. 11 illustrates an architecture of an electronic device, for example, device 1100 can be a mobile phone, a computer, a digital broadcast terminal, a messaging device, a game console, a tablet device, a medical device, a fitness device, a personal digital assistant, an aircraft, and the like.

Referring to fig. 11, device 1100 may include one or more of the following components: processing component 1102, memory 1104, power component 1106, multimedia component 1108, audio component 1110, input/output (I/O) interface 1112, sensor component 1114, and communications component 1116.

The processing component 1102 generally controls the overall operation of the device 1100, such as operations associated with display, telephone calls, data communications, camera operations, and recording operations. The processing element 1102 may include one or more processors 1120 to execute instructions, so as to complete generating a traffic compression request when a preset condition is met in the video playing method provided in the technical solution of the present disclosure, and sending the traffic compression request to the server, where the traffic compression request records information for triggering the server to acquire a target attention area, and the traffic compression request is used to request the server to preferentially ensure a bitrate of video content in the target attention area; and playing the video content corresponding to the code stream file according to the code stream file returned by the server, wherein the code stream file is all or part of the video file obtained by carrying out code rate compression processing on the video content outside the target attention area by the server according to the flow compression request. Further, the processing component 1102 may include one or more modules that facilitate interaction between the processing component 1102 and other components. For example, the processing component 1102 may include a multimedia module to facilitate interaction between the multimedia component 1108 and the processing component 1102.

The memory 1104 is configured to store various types of data to support operation at the device 1100. Examples of such data include instructions for any application or method operating on device 1100, contact data, phonebook data, messages, pictures, videos, and so forth. The memory 1104 may be implemented by any type or combination of volatile or non-volatile memory devices such as Static Random Access Memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic or optical disks.

A power component 1106 provides power to the various components of the device 1100. The power components 1106 may include a power management system, one or more power supplies, and other components associated with generating, managing, and distributing power for the device 1100.

The multimedia component 1108 includes a screen that provides an output interface between the device 1100 and a user. In some embodiments, the screen may include a Liquid Crystal Display (LCD) and a Touch Panel (TP). If the screen includes a touch panel, the screen may be implemented as a touch screen to receive an input signal from a user. The touch panel includes one or more touch sensors to sense touch, slide, and gestures on the touch panel. The touch sensor may not only sense the boundary of a touch or slide action, but also detect the duration and pressure associated with the touch or slide operation. In some embodiments, the multimedia component 1108 includes a front facing camera and/or a rear facing camera. The front-facing camera and/or the rear-facing camera may receive external multimedia data when the device 1100 is in an operating mode, such as a shooting mode or a video mode. Each front camera and rear camera may be a fixed optical lens system or have a focal length and optical zoom capability.

The audio component 1110 is configured to output and/or input audio signals. For example, the audio component 1110 includes a Microphone (MIC) configured to receive external audio signals when the device 1100 is in operating modes, such as a call mode, a recording mode, and a voice recognition mode. The received audio signals may further be stored in the memory 1104 or transmitted via the communication component 1116. In some embodiments, the audio assembly 1110 further includes a speaker for outputting audio signals.

The I/O interface 1112 provides an interface between the processing component 1102 and peripheral interface modules, which may be keyboards, click wheels, buttons, etc. These buttons may include, but are not limited to: a home button, a volume button, a start button, and a lock button.

The sensor assembly 1114 includes one or more sensors for providing various aspects of state assessment for the device 1100. For example, the sensor assembly 1114 may detect the open/closed state of the device 1100, the relative positioning of components, such as a display and keypad of the device 1100, the sensor assembly 1114 may also detect a change in the position of the device 1100 or a component of the device 1100, the presence or absence of user contact with the device 1100, orientation or acceleration/deceleration of the device 1100, and a change in the temperature of the device 1100. The sensor assembly 1114 may include a proximity sensor configured to detect the presence of a nearby object without any physical contact. The sensor assembly 1114 may also include a light sensor, such as a CMOS or CCD image sensor, for use in imaging applications. In some embodiments, the sensor assembly 1114 may also include an acceleration sensor, a gyroscope sensor, a magnetic sensor, a pressure sensor, or a temperature sensor.

The communication component 1116 is configured to facilitate wired or wireless communication between the device 1100 and other devices. The device 1100 may access a wireless network based on a communication standard, such as WiFi, 2G or 3G, or a combination thereof. In an exemplary embodiment, the communication component 1116 receives a broadcast signal or broadcast associated information from an external broadcast management system via a broadcast channel. In an exemplary embodiment, the communications component 1116 also includes a Near Field Communication (NFC) module to facilitate short-range communications. For example, the NFC module may be implemented based on Radio Frequency Identification (RFID) technology, infrared data association (IrDA) technology, Ultra Wideband (UWB) technology, Bluetooth (BT) technology, and other technologies.

In an exemplary embodiment, the device 1100 may be implemented by one or more Application Specific Integrated Circuits (ASICs), Digital Signal Processors (DSPs), Digital Signal Processing Devices (DSPDs), Programmable Logic Devices (PLDs), Field Programmable Gate Arrays (FPGAs), controllers, micro-controllers, microprocessors or other electronic components for performing the above-described methods.

In an exemplary embodiment, a non-transitory computer-readable storage medium including instructions, for example, the memory 1104 including instructions, where the instructions are executable by the processor 1120 of the device 1100 to complete that when a preset condition is met in a video playing method provided in the technical solution of the present disclosure, a traffic compression request is generated and sent to a server, where the traffic compression request records information for triggering the server to obtain a target attention area, and the traffic compression request is used to request the server to preferentially guarantee a bitrate of video content in the target attention area; and playing the video content corresponding to the code stream file according to the code stream file returned by the server, wherein the code stream file is obtained by performing code rate compression processing on the video content outside the target attention area by the server according to the flow compression request. For example, the non-transitory computer readable storage medium may be a ROM, a Random Access Memory (RAM), a CD-ROM, a magnetic tape, a floppy disk, an optical data storage device, and the like.

From the above description of the embodiments, it is clear to those skilled in the art that the present application can be implemented by software plus necessary general hardware platform. Based on such understanding, the technical solutions of the present application may be essentially or partially implemented in the form of a software product, which may be stored in a storage medium, such as a ROM/RAM, a magnetic disk, an optical disk, etc., and includes several instructions for enabling a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the method according to the embodiments or some parts of the embodiments of the present application.

The embodiments in the present specification are described in a progressive manner, and the same and similar parts among the embodiments are referred to each other, and each embodiment focuses on the differences from the other embodiments. In particular, the system or system embodiments are substantially similar to the method embodiments and therefore are described in a relatively simple manner, and reference may be made to some of the descriptions of the method embodiments for related points. The above-described system and system embodiments are only illustrative, wherein the units described as separate parts may or may not be physically separate, and the parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment. One of ordinary skill in the art can understand and implement it without inventive effort.

The user group screening method, the user group screening device and the electronic device provided by the application are introduced in detail, specific examples are applied in the text to explain the principle and the implementation mode of the application, and the description of the embodiments is only used for helping to understand the method and the core idea of the application; meanwhile, for a person skilled in the art, according to the idea of the present application, the specific embodiments and the application range may be changed. In view of the above, the description should not be taken as limiting the application.

Claims

1. A user group screening method is characterized by comprising the following steps:

2. The method of claim 1, further comprising:

dividing the condition elements into a plurality of condition element categories according to dimension information of configuration items included in the condition elements;

the providing of the optional condition element comprises:

after receiving a user group screening request, providing a first operation option of an adding condition group and providing selectable condition element categories;

after receiving the selected condition element category, providing a condition group configuration interface, and providing a second operation option for adding at least one condition element in the configuration interface;

and after receiving an operation request through the second operation option, providing selectable condition meta information under the selected condition meta category.

3. The method of claim 2,

the determining the logical relationship between the configured multiple different condition elements comprises:

and determining the logic relation among the plurality of condition elements configured in the same condition group as a logic AND relation by default.

4. The method of claim 2, further comprising:

providing a third operation option for adding a new condition group and configuring a logic relation between the condition groups in the condition group configuration interface;

and after receiving an operation request through the third operation option, providing a selectable condition element category so as to add condition elements in the selected condition element category to the newly added condition group and determine the logical relationship between the condition groups.

5. The method of claim 2,

and the related dimension in the condition element is divided with the service provided by the target application system for the user and the user related data recorded in the process of using the service provided in the target application system by the user.

6. The method of claim 5,

7. The method of claim 6,

the user-related data recorded during the process of the user purchasing the commodity object by using the commodity object sales service comprises the following steps:

user-related data recorded by a user during a purchase of a merchandise object in a physical store, the user-related data comprising a combination of one or more of: the occurrence time, the place, the physical shop identification, the commodity object list, the amount information, the purchasing times, the shopping preference information and the personal attribute information of the user.

8. The method of claim 7,

the condition element categories include: behavior conforming classes, attributes satisfying classes, and tag preference classes.

9. The method of claim 8,

the dimensions under which the behavior conforms to the class include one or more of: a number of times to purchase the commodity object dimension, a total amount dimension, a time dimension, an entity store dimension, and a commodity object category dimension.

10. The method of claim 8,

11. The method of claim 8,

12. The method according to claims 1 to 11,

the receiving configuration information of configuration items in the selected condition elements comprises:

and receiving configuration information input for the configuration items in the selected condition elements.

13. The method according to claims 1 to 11,

and providing candidate configuration information for the configuration items in the condition elements so as to receive the configuration information by receiving a selection result.

14. The method according to claims 1 to 11,

and providing automatically matched configuration information for the configuration items in the condition elements so as to receive the configuration information by means of a confirmation result of the automatically matched information.

15. An information delivery method, comprising:

and delivering information to the qualified user groups.

16. A user information acquisition method is characterized by comprising the following steps:

17. An information pushing method, comprising:

18. A user population screening apparatus, comprising:

19. An information delivery apparatus, comprising:

20. A user information acquisition apparatus, comprising:

21. An information pushing apparatus, comprising:

22. An electronic device, comprising:

one or more processors; and