CN111538911B - Information pushing method and device - Google Patents
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- CN111538911B CN111538911B CN202010596729.5A CN202010596729A CN111538911B CN 111538911 B CN111538911 B CN 111538911B CN 202010596729 A CN202010596729 A CN 202010596729A CN 111538911 B CN111538911 B CN 111538911B
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Abstract
The application provides an information pushing method and device, which can be used for firstly acquiring target demand information of a user, and then determining a first alternative information set comprising first alternative information according to a demand type in the target demand information, wherein the information type of the first alternative information is matched with the demand type. Then, it may be compared whether the information score of any one of the first set of alternative information is less than the demand score. And if the information score of any one of the first alternative information in the first alternative information set is smaller than the demand score, indicating that no alternative information simultaneously conforming to the demand type and the demand score of the user exists. Then, a second set of alternative information including at least one second alternative information may be continued to be determined according to the demand type, the information score of the second alternative information being greater than the demand score. Therefore, when the standby information meeting the score requirement of the user is lacking in the requirement type, other standby information meeting the score requirement can be pushed to the user, and user experience is improved.
Description
Technical Field
The present disclosure relates to the field of computer technologies, and in particular, to an information pushing method and apparatus.
Background
With the development of computer technology, users can acquire information through a network. But for some specialized knowledge or information, the network acquisition cannot meet the needs of the user. For this reason, many websites promote expert online consultation services, and the websites can provide relevant information of candidate experts in different technical fields. The user can select an expert meeting the requirements from the candidate experts and consult with the expert.
However, some large technical fields can be subdivided into a plurality of small technical fields, each of which can also be subdivided into smaller technical fields. An expert in a certain technical field may not be aware of knowledge in other technical fields. Therefore, in order to better provide services for clients, the experts can be divided into different technical fields according to the knowledge background of the experts. The customer can directly select the corresponding technical field and choose an expert from the technical field.
However, if no expert meeting the needs of the customer exists in the technical field, the customer can only manually select the expert approaching the needs of the customer from other technical fields. Not only is the customer wasting time, but it may not be able to find an expert that meets his own needs.
Disclosure of Invention
In view of this, the embodiments of the present application provide an information pushing method and apparatus, which aim to recommend an expert in an adjacent technical field to a user when the expert in the technical field specified by the user cannot fully meet the user requirement.
An information pushing method, the method comprising:
acquiring target demand information of a user, wherein the target demand information comprises a demand type and a demand score, and the demand type represents the type of the information required by the user;
determining a first alternative information set according to the requirement type, wherein the first alternative information set comprises at least one first alternative information, the first alternative information comprises an information score and an information type, the information score represents the quality of the first alternative information, and the information type of the first alternative information is matched with the requirement type;
comparing whether the information score of any one piece of alternative information in the first alternative information set is smaller than the demand score;
when the information score of any one of the first alternative information sets is smaller than the demand score, determining a second alternative information set according to the information score, wherein the second alternative information set comprises at least one piece of second alternative information, and the information score of the at least one piece of second alternative information is larger than the demand score;
pushing the second alternative information set to a user.
Optionally, the determining the first set of alternative information according to the requirement type includes:
selecting a first alternative information set with the information type matched with the requirement type from an alternative information base;
the alternative information base comprises a plurality of alternative information sets, any one of the plurality of alternative information sets comprises at least one piece of alternative information, and the information types of the at least one piece of alternative information are the same.
Optionally, the determining the second set of candidate information according to the information score includes:
determining a first upper level type according to the demand type, wherein the demand type belongs to the first upper level type;
selecting at least one third alternative information from an alternative information base, wherein the information type of the third alternative information is the first upper-level type;
and selecting third alternative information with information score larger than the requirement score from the at least one third alternative information as the second alternative information.
Optionally, if the information score of any third alternative information in the at least one third alternative information is smaller than the demand score, the method further includes:
determining a second upper level type according to the first upper level type, wherein the first upper level type belongs to the second upper level type;
selecting at least one fourth alternative information from an alternative information base, wherein the information type of the fourth alternative information is the second upper-level type;
and selecting fourth alternative information with information score larger than the requirement score from the at least one fourth alternative information as the second alternative information.
Optionally, the alternative information base is obtained by the following method:
acquiring optional information, wherein the optional information comprises an optional information score;
judging whether the score of the optional information is larger than a score threshold value or not;
and adding the optional information as the optional information into the optional information base when the optional information score of the optional information is greater than or equal to the score threshold value.
An information pushing apparatus, the apparatus comprising:
the demand acquisition module is used for acquiring target demand information of a user, wherein the target demand information comprises a demand type and a demand score, and the demand type represents the type of the information required by the user;
a first determining module, configured to determine a first alternative information set according to the requirement type, where the first alternative information set includes at least one first alternative information, the first alternative information includes an information score and an information type, the information score indicates a quality of the first alternative information, and the information type of the first alternative information matches the requirement type;
the comparison module is used for comparing whether the information score of any one piece of alternative information in the first alternative information set is smaller than the demand score;
the second determining module is used for determining a second alternative information set according to the information score when the information score of any one of the first alternative information sets is smaller than the demand score, wherein the second alternative information set comprises at least one piece of second alternative information, and the information score of the at least one piece of second alternative information is larger than the demand score;
and the information pushing module is used for pushing the second alternative information set to the user.
Optionally, the first determining module is specifically configured to:
selecting a first alternative information set with the information type matched with the requirement type from an alternative information base;
the alternative information base comprises a plurality of alternative information sets, any one of the plurality of alternative information sets comprises at least one piece of alternative information, and the information types of the at least one piece of alternative information are the same.
Optionally, the second determining module includes:
the type determining module is used for determining a first upper level type according to the requirement type, and the requirement type belongs to the first upper level type;
the first selection module is used for selecting at least one piece of third alternative information from an alternative information base, and the information type of the third alternative information is the first upper-level type;
and the second selection module is used for selecting third alternative information with information score larger than the requirement score from the at least one third alternative information as the second alternative information.
Optionally, the apparatus further comprises a third determining module for:
determining a second upper level type according to the first upper level type, wherein the first upper level type belongs to the second upper level type;
selecting at least one fourth alternative information from an alternative information base, wherein the information type of the fourth alternative information is the second upper-level type;
and selecting fourth alternative information with information score larger than the requirement score from the at least one fourth alternative information as the second alternative information.
Optionally, the alternative information base is obtained by the following method:
acquiring optional information, wherein the optional information comprises an optional information score;
judging whether the score of the optional information is larger than a score threshold value or not;
and adding the optional information as the optional information into the optional information base when the optional information score of the optional information is greater than or equal to the score threshold value.
The embodiment of the application provides an information pushing method and device, which can be used for acquiring target demand information of a user, and then determining a first alternative information set comprising at least one first alternative information according to a demand type in the target demand information, wherein the information type of the first alternative information is matched with the demand type. Then, whether the information score of any one of the first alternative information sets is smaller than the demand score can be compared. And if the information score of any one of the first alternative information in the first alternative information set is smaller than the demand score, indicating that no alternative information simultaneously conforming to the demand type and the demand score of the user exists. Then, the determination of the second set of alternative information comprising the at least one second alternative information may continue on the basis of the demand type. Wherein the information score of the second alternative information is greater than the demand score. Therefore, when the standby information meeting the score requirement of the user is lacking in the requirement type, other standby information meeting the score requirement can be pushed to the user, and user experience is improved.
Drawings
In order to more clearly illustrate the present embodiments or the technical solutions in the prior art, the drawings that are required for the embodiments or the description of the prior art 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 that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a method flowchart of an information pushing method provided in an embodiment of the present application;
fig. 2 is a schematic structural diagram of an information pushing device according to an embodiment of the present application;
fig. 3 is a schematic structural diagram of an information pushing device according to an embodiment of the present application;
fig. 4 is a schematic structural diagram of an information pushing device according to an embodiment of the present application.
Detailed Description
In order to provide better services for users, the online consultation website can classify the specialists into different technical fields according to the research directions of the specialists. For example, the medical field may include a plurality of fields such as an internal medicine field, a surgical field, and an anesthesiology field, wherein the internal medicine field may include a plurality of fields such as a respiratory medicine field and a digestive medicine field. Then, when the customer needs to find an expert in a certain technical field, the expert may be selected directly from the corresponding technical field.
In addition, the degree of assistance provided to customers is not the same, considering the different seniorities of the different specialists. The online consultation website may also set an evaluation score for the expert that measures how much help the expert can offer to the customer. Then, when the client's demand for the expert is high, the client may select the expert with a high evaluation score.
However, if a customer has a requirement for both the technical field to which the expert belongs and the evaluation score of the expert, there may not be an expert in the expert information base that meets the customer's requirements. The customer needs to manually screen the expert from the expert information base for the expert approaching his own needs. Thus, not only is time wasted for the customer, but the customer may not find an expert meeting his own needs.
In order to provide a technical solution capable of actively recommending information close to a user requirement to the user when the information in the information base cannot fully meet the user requirement, an embodiment of the present application provides an information pushing method, and a preferred embodiment of the present application will be described from the perspective of computer software running in a server. It should be noted that, in the embodiment of the present application, expert information is pushed to a user as an example for explanation, and the application scenario of the method provided in the present application is not limited. The information pushing method provided by the embodiment of the application can also be applied to other application scenes in which information is needed to be pushed to the user according to the user requirement.
Referring to fig. 1, fig. 1 is a method flowchart of an information pushing method provided in an embodiment of the present application, including:
s101: and acquiring target demand information of the user.
Before pushing information to a user, the server can acquire target demand information of the user. So as to push information meeting the user requirements to the user. The target requirement information represents the requirement of the user on the information, and for example, the specific requirement of the user on the expert can be shown.
In embodiments of the present application, the target demand information may include a demand type and a demand score. Wherein the demand type represents an information type of information required by the user, and the demand score represents a minimum value of information scores of the information required by the user. For example, when a user needs to consult an expert in gastroenterology, and the requirements on the expert are high, then the type of demand may be "gastroenterology" and the score of demand may be relatively high.
S102: and determining a first alternative information set according to the requirement type.
After the target demand information of the user is acquired, the server may determine the first alternative information set according to the demand type in the target demand information. Wherein the first set of candidate information may include at least one first candidate information therein. Any one of the first alternative information includes an information score and an information type. The information type of the first alternative information indicates the type to which the first alternative information belongs, and the information score of the first alternative information indicates the quality of the first alternative information. In the embodiment of the application, the information type of the first alternative information is matched with the requirement type.
In an embodiment of the present application, the server may select the first alternative information set from the alternative information library. In particular, the candidate information base may include a plurality of candidate information sets, each of which may include at least one candidate information, and if two or more candidate information sets are included in the candidate information sets, the information types of the candidate information are the same. Then, when a requirement type indicating a type to which the information required by the user belongs is acquired, the server may directly select an alternative information set corresponding to the requirement type from the alternative information base as the first alternative information set. In this way, the plurality of pieces of alternative information are divided into different alternative information sets in advance according to the information types of the alternative information, and the first alternative information set can be determined only by acquiring the alternative information set corresponding to the requirement type after receiving the target requirement information. Therefore, the time for acquiring the first alternative information set is reduced, and the efficiency is improved.
In the embodiment of the application, the server can screen the alternative information when establishing the alternative information base. Specifically, when adding the optional information into the alternative information base, the server may first obtain the information score of the optional information, and then determine whether the optional information score of the optional information is greater than a score threshold. Wherein the score threshold represents the lowest value of the information score of the candidate information, i.e. the lowest requirement for joining the candidate information base. If the score of the optional information is greater than or equal to the score threshold value, the optional information meets the requirement, and the server can add the optional information as the optional information into an optional information base. If the optional information score of the optional information is less than the score threshold, indicating that the optional information is not satisfactory, the server may discard the optional information. In this way, the quality of the alternative information in the alternative information base can be ensured by primarily screening the alternative information added into the alternative information base. In this way, the recommendation of inferior information to the user can be avoided, thereby improving the quality of service.
S103: and comparing whether the information score of any one piece of alternative information in the first alternative information set is smaller than the demand score.
Since the first alternative information set is confirmed according to the requirement type, the information of the first alternative information in the first alternative information set may not satisfy the requirement score of the user. I.e. the quality of the first alternative information may not meet the needs of the user. The server may compare whether the information score of any of the first set of alternative information is less than the demand score. I.e. judging whether the first alternative information which does not meet the requirements of the user exists in the first alternative information set.
S104: and when the information score of any one of the first alternative information sets is smaller than the demand score, determining a second alternative information set according to the information score.
When the first alternative information with the information score smaller than the demand score does not exist in the first alternative information set, the server can push the first alternative information set to the user. When the first alternative information with the information score smaller than the demand score exists in the first alternative information set, the server can remove the first alternative information with the information score smaller than the demand score from the first alternative information and push the first alternative information with the information score larger than or equal to the demand score to the user. When the first alternative information with the information score greater than or equal to the demand score does not exist in the first alternative information set, the server can determine the second alternative information set according to the demand score. In an embodiment of the present application, the second alternative information set may include at least one second alternative information, and an information score of any one second alternative information in the second alternative information set is greater than the demand score.
In this embodiment of the present application, the server may first determine a first upper level type corresponding to the requirement type, where the first upgrade type is an upper level type of the requirement type, that is, the requirement type belongs to the first upper level type. For example, assuming that the type of demand is "gastroenterology," the first superior type may be "internal medicine. After determining the first upper level type, the server may select at least one third candidate information of which the information type is the first upper level type from the candidate information base, select the third candidate information of which the selection information score is greater than the demand score as the second candidate information, and use the second candidate information as the second candidate information set. In this way, when the information meeting the user's requirement is not included in the alternative information base, the server may select, from the alternative information base, third alternative information whose information type is the first upper-level type to which the requirement type belongs, and select, as the second alternative information, third alternative information greater than the user's requirement score. Therefore, other standby information meeting the score requirement can be pushed to the user, and the use experience of the user is improved.
Further, if the information scores of all the third alternative information are smaller than the requirement score, the fact that the alternative information which can meet the requirement of the user on the information score does not exist in the alternative information corresponding to the first upper-level type is indicated. The server may determine a second superior type from the first superior type, the first superior type being subordinate to the second superior type. For example, assuming that the type of demand is "gastroenterology", the first superior type may be "internal medicine", and the second superior type may be "medical". After determining the second upper level type, the server may select fourth alternative information of which at least one information type is the first upper level type from the alternative information base, select fourth alternative information of which the selection information score is greater than the demand score as second alternative information, and use the second alternative information as a second alternative information set. Thus, when the third alternative information cannot meet the requirement score of the user, the server can select fourth alternative information with the information type being the second upper-level type to which the first upper-level type belongs from the alternative information base, and select fourth alternative information with the requirement score larger than the user as the second alternative information. Therefore, other standby information meeting the score requirement can be pushed to the user, and the use experience of the user is improved.
S105: pushing the second alternative information set to a user.
In the embodiment of the application, the server may push the second alternative information set to the user by generating the push information, or may push the second alternative information set to the user by other manners.
The embodiment of the application provides an information pushing method, which can be used for firstly acquiring target demand information of a user, and then determining a first alternative information set comprising at least one first alternative information according to a demand type in the target demand information, wherein the information type of the first alternative information is matched with the demand type. Then, whether the information score of any one of the first alternative information sets is smaller than the demand score can be compared. And if the information score of any one of the first alternative information in the first alternative information set is smaller than the demand score, indicating that no alternative information simultaneously conforming to the demand type and the demand score of the user exists. Then, the determination of the second set of alternative information comprising the at least one second alternative information may continue on the basis of the demand type. Wherein the information score of the second alternative information is greater than the demand score. Therefore, when the standby information meeting the score requirement of the user is lacking in the requirement type, other standby information meeting the score requirement can be pushed to the user, and user experience is improved.
The embodiments of the present application provide some specific implementation manners of the information pushing method, and based on this, the present application further provides a corresponding apparatus. The above-described apparatus provided by the embodiments of the present application will be described below in terms of functional modularization.
Referring to the schematic structural diagram of the information pushing device shown in fig. 2, the device 200 includes:
the requirement obtaining module 210 is configured to obtain target requirement information of a user, where the target requirement information includes a requirement type and a requirement score, and the requirement type represents a type to which the information required by the user belongs.
A first determining module 220, configured to determine a first alternative information set according to the requirement type, where the first alternative information set includes at least one first alternative information, and the first alternative information includes an information score and an information type, where the information score indicates a quality of the first alternative information, and the information type of the first alternative information matches the requirement type.
And the comparing module 230 is configured to compare whether the information score of any one of the first alternative information sets is smaller than the requirement score.
And the second determining module is used for determining a second alternative information set according to the information score when the information score of any one of the first alternative information sets is smaller than the demand score, wherein the second alternative information set comprises at least one second alternative information, and the information score of the at least one second alternative information is larger than the demand score.
And the information pushing module 240 is configured to push the second set of candidate information to a user.
The embodiment of the application provides an information pushing device, which can acquire target demand information of a user first, then determine a first alternative information set comprising at least one first alternative information according to a demand type in the target demand information, wherein the information type of the first alternative information is matched with the demand type. Then, whether the information score of any one of the first alternative information sets is smaller than the demand score can be compared. And if the information score of any one of the first alternative information in the first alternative information set is smaller than the demand score, indicating that no alternative information simultaneously conforming to the demand type and the demand score of the user exists. Then, the determination of the second set of alternative information comprising the at least one second alternative information may continue on the basis of the demand type. Wherein the information score of the second alternative information is greater than the demand score. Therefore, when the standby information meeting the score requirement of the user is lacking in the requirement type, other standby information meeting the score requirement can be pushed to the user, and user experience is improved.
Optionally, in some possible implementations, the first determining module 220 is specifically configured to:
and selecting a first alternative information set with the information type matched with the requirement type from an alternative information base.
The alternative information base comprises a plurality of alternative information sets, any one of the plurality of alternative information sets comprises at least one piece of alternative information, and the information types of the at least one piece of alternative information are the same.
In this way, the plurality of pieces of alternative information are divided into different alternative information sets in advance according to the information types of the alternative information, and the first alternative information set can be determined only by acquiring the alternative information set corresponding to the requirement type after receiving the target requirement information. Therefore, the time for acquiring the first alternative information set is reduced, and the efficiency is improved.
Optionally, referring to fig. 3, on the basis of the apparatus shown in fig. 2, the second determining module 240 includes:
a type determining module 241, configured to determine a first upper level type according to the requirement type, where the requirement type belongs to the first upper level type;
a first selection module 242, configured to select at least one third candidate information from a candidate information base, where an information type of the third candidate information is the first upper level type;
a second selection module 243, configured to select, as the second candidate information, third candidate information having an information score greater than the requirement score from the at least one third candidate information.
In this way, when the information meeting the user's requirement is not included in the alternative information base, the server may select, from the alternative information base, third alternative information whose information type is the first upper-level type to which the requirement type belongs, and select, as the second alternative information, third alternative information greater than the user's requirement score. Therefore, other standby information meeting the score requirement can be pushed to the user, and the use experience of the user is improved.
Optionally, referring to fig. 4, on the basis of the apparatus shown in fig. 3, the apparatus 200 further includes a third determining module 260, configured to:
and determining a second upper level type according to the first upper level type, wherein the first upper level type belongs to the second upper level type.
At least one fourth alternative information is selected from the alternative information base, and the information type of the fourth alternative information is the second upper-level type.
And selecting fourth alternative information with information score larger than the requirement score from the at least one fourth alternative information as the second alternative information.
Thus, when the third alternative information cannot meet the requirement score of the user, the server can select fourth alternative information with the information type being the second upper-level type to which the first upper-level type belongs from the alternative information base, and select fourth alternative information with the requirement score larger than the user as the second alternative information. Therefore, other standby information meeting the score requirement can be pushed to the user, and the use experience of the user is improved.
Optionally, in some possible implementations, the alternative information base is obtained by:
optional information is obtained, the optional information including an optional information score.
And judging whether the score of the optional information is larger than a score threshold value.
And adding the optional information as the optional information into the optional information base when the optional information score of the optional information is greater than or equal to the score threshold value.
In this way, the quality of the alternative information in the alternative information base can be ensured by primarily screening the alternative information added into the alternative information base. In this way, the recommendation of inferior information to the user can be avoided, thereby improving the quality of service.
The "first" and "second" in the names of the "first alternative information", "second alternative information" and the like in the embodiments of the present application are only used for making name identifiers, and do not represent the first and second in sequence.
From the above description of embodiments, it will be apparent to those skilled in the art that all or part of the steps of the above described example methods may be implemented in software plus general hardware platforms. Based on such understanding, the technical solutions of the present application may be embodied in the form of a software product, which may be stored in a storage medium, such as a read-only memory (ROM)/RAM, a magnetic disk, an optical disk, or the like, including several instructions for causing a computer device (which may be a personal computer, a server, or a network communication device such as a router) to perform the methods described in the embodiments or some portions of the embodiments of the present application.
In this specification, each embodiment is described in a progressive manner, and identical and similar parts of each embodiment are all referred to each other, and each embodiment mainly describes differences from other embodiments. In particular, for the device embodiments, since they are substantially similar to the method embodiments, the description is relatively simple, and reference is made to the description of the method embodiments for relevant points. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment. Those of ordinary skill in the art will understand and implement the present invention without undue burden.
The foregoing is merely exemplary embodiments of the present application and is not intended to limit the scope of the present application.
Claims (8)
1. An information pushing method, which is applied to an expert online consultation service, the method comprising:
acquiring target demand information of a user, wherein the target demand information comprises a demand type and a demand score, and the demand type represents the type of the information required by the user;
determining a first alternative information set according to the requirement type, wherein the first alternative information set comprises at least one first alternative information, the first alternative information comprises an information score and an information type, the information score represents the quality of the first alternative information, and the information type of the first alternative information is matched with the requirement type;
comparing whether the information score of any one piece of alternative information in the first alternative information set is smaller than the demand score;
when the information score of any one first alternative information in the first alternative information set is smaller than the demand score, determining a first upper-level type according to the demand type, wherein the demand type belongs to the first upper-level type; selecting at least one third alternative information from an alternative information base, wherein the information type of the third alternative information is the first upper-level type; selecting third alternative information with information score larger than the demand score as the second alternative information;
pushing the second alternative information set to a user.
2. The method of claim 1, wherein the determining a first set of alternative information based on the demand type comprises:
selecting a first alternative information set with the information type matched with the requirement type from an alternative information base;
the alternative information base comprises a plurality of alternative information sets, any one of the plurality of alternative information sets comprises at least one piece of alternative information, and the information types of the at least one piece of alternative information are the same.
3. The method of claim 1, wherein if the information score of any one of the at least one third alternative information is less than the demand score, the method further comprises:
determining a second upper level type according to the first upper level type, wherein the first upper level type belongs to the second upper level type;
selecting at least one fourth alternative information from an alternative information base, wherein the information type of the fourth alternative information is the second upper-level type;
and selecting fourth alternative information with information score larger than the demand score as the second alternative information.
4. The method according to claim 2, characterized in that the alternative information base is obtained by:
acquiring optional information, wherein the optional information comprises an optional information score;
judging whether the score of the optional information is larger than a score threshold value or not;
and adding the optional information as the optional information into the optional information base when the optional information score of the optional information is greater than or equal to the score threshold value.
5. An information pushing apparatus, characterized in that the apparatus comprises:
the demand acquisition module is used for acquiring target demand information of a user, wherein the target demand information comprises a demand type and a demand score, and the demand type represents the type of the information required by the user;
a first determining module, configured to determine a first alternative information set according to the requirement type, where the first alternative information set includes at least one first alternative information, the first alternative information includes an information score and an information type, the information score indicates a quality of the first alternative information, and the information type of the first alternative information matches the requirement type;
the comparison module is used for comparing whether the information score of any one piece of alternative information in the first alternative information set is smaller than the demand score;
the second determining module is used for determining a first upper-level type according to the requirement type when the information score of any one of the first alternative information in the first alternative information set is smaller than the requirement score, and the requirement type belongs to the first upper-level type; selecting at least one third alternative information from an alternative information base, wherein the information type of the third alternative information is the first upper-level type; selecting third alternative information with information score larger than the demand score as the second alternative information;
and the information pushing module is used for pushing the second alternative information set to the user.
6. The apparatus of claim 5, wherein the first determining module is specifically configured to:
selecting a first alternative information set with the information type matched with the requirement type from an alternative information base;
the alternative information base comprises a plurality of alternative information sets, any one of the plurality of alternative information sets comprises at least one piece of alternative information, and the information types of the at least one piece of alternative information are the same.
7. The apparatus of claim 5, further comprising a third determination module configured to:
determining a second upper level type according to the first upper level type, wherein the first upper level type belongs to the second upper level type;
selecting at least one fourth alternative information from an alternative information base, wherein the information type of the fourth alternative information is the second upper-level type;
and selecting fourth alternative information with information score larger than the demand score as the second alternative information.
8. The apparatus of claim 6, wherein the candidate information repository is obtained by:
acquiring optional information, wherein the optional information comprises an optional information score;
judging whether the score of the optional information is larger than a score threshold value or not;
and adding the optional information as the optional information into the optional information base when the optional information score of the optional information is greater than or equal to the score threshold value.
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| WO2019184111A1 (en) * | 2018-03-30 | 2019-10-03 | 平安科技（深圳）有限公司 | Push message processing method and apparatus, readable storage medium, and terminal device |
| CN110399550A (en) * | 2019-03-14 | 2019-11-01 | 腾讯科技（深圳）有限公司 | A kind of information recommendation method and device |
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| WO2019184111A1 (en) * | 2018-03-30 | 2019-10-03 | 平安科技（深圳）有限公司 | Push message processing method and apparatus, readable storage medium, and terminal device |
| CN110399550A (en) * | 2019-03-14 | 2019-11-01 | 腾讯科技（深圳）有限公司 | A kind of information recommendation method and device |
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