CN111966884B - Information pushing method and device - Google Patents
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- CN111966884B CN111966884B CN202011128142.8A CN202011128142A CN111966884B CN 111966884 B CN111966884 B CN 111966884B CN 202011128142 A CN202011128142 A CN 202011128142A CN 111966884 B CN111966884 B CN 111966884B
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/95—Retrieval from the web
- G06F16/953—Querying, e.g. by the use of web search engines
- G06F16/9532—Query formulation
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/40—Information retrieval; Database structures therefor; File system structures therefor of multimedia data, e.g. slideshows comprising image and additional audio data
- G06F16/43—Querying
- G06F16/435—Filtering based on additional data, e.g. user or group profiles
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/95—Retrieval from the web
- G06F16/953—Querying, e.g. by the use of web search engines
- G06F16/9535—Search customisation based on user profiles and personalisation
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/50—Network services
- H04L67/55—Push-based network services
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Abstract
After a target patient is detected to input a key sentence in a search box displayed by target equipment, if the key sentence contains a word related to a disease suffered by the target patient, and the number of times that the target patient opens a link corresponding to content fed back based on the key sentence is less than a preset number of times; after the link is opened every time, when the target patient browses the content corresponding to the opened link, the total first browsing time is shorter than the preset time, the first search content is obtained by searching from the specified medical platform through the first search statement, and the obtained first search content is displayed to the target patient.
Description
Technical Field
The application relates to the technical field of health big data, in particular to an information pushing method and device.
Background
After suffering from a disease, people can inquire about the related contents of the disease, such as: whether the development condition of the suffered disease, specific symptoms or certain current symptoms are caused by the suffered disease or not, when the patient inquires related content, the patient can search related videos on an application program of certain video classes or search related content on a search website, but the related content cannot be found due to personal reasons (such as relatively poor search skills), or the patient cannot obtain an accurate answer due to the fact that the content recalled by the application program of the video classes or the search website is some advertising content, which is a problem to be solved urgently.
Disclosure of Invention
In view of this, the embodiment of the present application provides an information pushing method and apparatus to provide relatively accurate content for a patient.
In a first aspect, an embodiment of the present application provides an information pushing method, including:
after detecting that a target patient inputs a key sentence in a search box displayed by target equipment, judging whether the key sentence contains a word related to the disease of the target patient, wherein the search box comprises a search box of a search website and a search box of a video website;
if the key sentence contains words related to the disease of the target patient, judging whether the first operation instruction of the target patient meets the following conditions: the number of times that the target patient opens the link corresponding to the content fed back based on the key sentence is less than the preset number of times; after the link is opened every time, when the target patient browses the content corresponding to the opened link, the first total browsing time length is less than the preset time length;
if all conditions are met, inputting the words related to the disease of the target patient in the key sentences and the disease information of the disease of the target patient into a word prediction model to obtain a first search sentence;
displaying a prompt box for indicating whether a specified medical platform is searched or not on the current interface;
and responding to the confirmation operation of the prompt box, jumping to a content display interface of the specified medical platform, wherein first search content obtained based on the first search statement is displayed on the content display interface, and the first search content comprises text content, video content and/or audio content.
Optionally, the method further comprises:
judging whether the second operation instruction of the target patient meets the following conditions: the number of times that the target patient opens the link corresponding to the first search content is smaller than the preset number of times; after the link is opened every time, when the target patient browses the content corresponding to the opened link, the second total browsing time length is less than the preset time length;
if all the conditions are met, vector splicing is carried out on the first search content and the disease information of the disease of the target patient to obtain a spliced vector;
searching a question bank related to the disease of the target patient for candidate questions with the similarity higher than a preset threshold value with the splicing vector;
displaying the first candidate question with the highest similarity to the target patient;
after the answer of the target patient to the candidate question with the highest similarity is obtained, selecting a second candidate question with the highest similarity from the remaining candidate questions according to the answer, displaying the second candidate question to the target patient, and so on until a preset number of questions are reached;
inputting all the obtained answers and all the candidate questions into the word prediction model to obtain a second search statement;
searching in the designated medical platform according to the second search statement;
and displaying second search content obtained based on the second search sentence search on the content display interface, wherein the second search content comprises text content, video content and/or audio content.
Optionally, the method further comprises:
and training the word prediction model by using all the obtained answers and all the candidate questions.
In a second aspect, an embodiment of the present application provides an information pushing apparatus, including:
the first judgment unit is used for judging whether a key sentence is included in the key sentence after detecting that a target patient inputs the key sentence in a search box displayed by target equipment, wherein the search box comprises a search box of a search website and a search box of a video website;
a second judging unit, configured to, if the key sentence includes a word related to a disease suffered by the target patient, judge whether the first operation instruction of the target patient meets the following condition: the number of times that the target patient opens the link corresponding to the content fed back based on the key sentence is less than the preset number of times; after the link is opened every time, when the target patient browses the content corresponding to the opened link, the first total browsing time length is less than the preset time length;
the model unit is used for inputting the words related to the diseases of the target patient in the key sentences and the disease information of the diseases of the target patient into a word prediction model to obtain first search sentences if all the conditions are met;
the display unit is used for displaying a prompt box used for indicating whether a specified medical platform is searched or not on the current interface;
and the searching unit is used for responding to the confirmation operation of the prompt box and jumping to a content display interface of the specified medical platform, wherein first searching content obtained based on the first searching sentence is displayed on the content display interface, and the first searching content comprises text content, video content and/or audio content.
In the application, after a target patient is detected to input a key sentence in a search box displayed by a target device, whether the key sentence contains a word related to the disease of the target patient is judged, if yes, the word indicates that the target patient is searching for the content related to the disease, and then whether a first operation instruction of the target patient for the returned content meets the following conditions is judged: the number of times that the target patient opens the link corresponding to the content fed back based on the key sentence is less than the preset number of times; after the link is opened every time, when the target patient browses the content corresponding to the opened link, the total first browsing time is shorter than the preset time, if the conditions are met, the returned content basically does not meet the expectation of the target patient, at this time, the terms related to the disease suffered by the target patient in the key terms and the disease information of the disease suffered by the target patient can be input into the term prediction model to obtain a first search term, and as the first search term is not only related to the disease suffered by the target patient, but also related to the search content of the target patient, the content returned by searching on the specified medical platform by using the first search term is relatively more consistent with the expectation of the target patient, and the content fed back by searching on the specified medical platform is relatively high in accuracy.
In order to make the aforementioned objects, features and advantages of the present application more comprehensible, preferred embodiments accompanied with figures are described in detail below.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are required to be used in the embodiments will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present application and therefore should not be considered as limiting the scope, and for those skilled in the art, other related drawings can be obtained from the drawings without inventive effort.
Fig. 1 is a schematic flowchart of an information pushing method according to an embodiment of the present application;
fig. 2 is a schematic flowchart of another information pushing method according to an embodiment of the present application;
fig. 3 is a schematic structural diagram of an information pushing apparatus according to a second embodiment of the present application.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present application clearer, 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 the embodiments. The components of the embodiments of the present application, generally described and illustrated in the figures herein, can be arranged and designed in a wide variety of different configurations. Thus, the following detailed description of the embodiments of the present application, presented in the accompanying drawings, is not intended to limit the scope of the claimed application, but is merely representative of selected embodiments of the application. All other embodiments, which can be derived by a person skilled in the art from the embodiments of the present application without making any creative effort, shall fall within the protection scope of the present application.
The following embodiments can be applied to the aspect of health management of people to assist people in a healthier life.
Example one
Fig. 1 is a schematic flow chart of an information pushing method according to an embodiment of the present application, as shown in fig. 1, the method includes the following steps:
And 104, displaying a prompt box for indicating whether the specified medical platform is searched or not on the current interface.
And 105, responding to the confirmation operation of the prompt box, jumping to a content display interface of the specified medical platform, wherein first search content obtained based on the first search statement is displayed on the content display interface, and the first search content comprises text content, video content and/or audio content.
Specifically, the target patient can be registered on the application program corresponding to the specified medical platform through the target device (such as a mobile phone), and after the registration is completed, the application program can detect the target equipment, when the target patient needs to inquire the content, the application program can search through a search website or a video website, for example, the target patient may enter a key sentence in the search box of a search website, or may enter a key sentence in the search box of a video-like website, after detecting that a target patient inputs a key sentence in a search box displayed by target equipment, judging whether the key sentence contains a word related to the disease of the target patient, if there are words related to the disease of the target patient, indicating that the target patient is currently searching for content related to the disease, then, whether the first operation instruction of the target patient for the returned content meets the following conditions is judged: the number of times that the target patient opens the link corresponding to the content fed back based on the key sentence is less than the preset number of times; after the link is opened each time, when the target patient browses the content corresponding to the opened link, the first total browsing time length is less than the preset time length, and if the conditions are met, for example: the number of times of opening the link by the target patient is less than three, the total browsing time length after each link is opened does not exceed 3 minutes, which indicates that the returned content basically does not meet the expectation of the target patient, at this time, the terms related to the disease suffered by the target patient in the key sentence and the disease information of the disease suffered by the target patient can be input into the term prediction model to obtain the first search sentence, and when the target patient agrees to the specified medical platform for searching, because the first search sentence is not only related to the disease suffered by the target patient, but also related to the search content of the target patient, the content returned by searching on the specified medical platform by using the first search sentence relatively meets the expectation of the target patient, and the accuracy of the fed back content is relatively high.
It should be noted that, the specific word prediction model and the set words related to the disease of the target patient may be set according to actual needs, and are not specifically limited herein, and the specific preset times and the preset duration may also be set according to actual needs, and are not specifically limited herein.
Fig. 2 is a schematic flow chart of another information pushing method according to an embodiment of the present application, and as shown in fig. 2, the method further includes the following steps:
And step 204, displaying the first candidate question with the highest similarity to the target patient.
And step 206, inputting all the obtained answers and all the candidate questions into the word prediction model to obtain a second search statement.
And step 207, searching in the specified medical platform according to the second search statement.
And 208, displaying second search content obtained based on the second search sentence on the content display interface, wherein the second search content comprises text content, video content and/or audio content.
Specifically, after the medical platform is specified to return the first search content including text content, video content and/or audio content, the target patient may open a corresponding link in the first search content to view the corresponding content, and in order to determine whether the content returned in the first search content is accurate, it is necessary to determine whether a second operation instruction of the target patient for the first search content meets the following condition: the number of times that the target patient opens the link corresponding to the first search content is smaller than the preset number of times; after the link is opened every time, when the target patient browses the content corresponding to the opened link, the second total browsing time length is less than the preset time length; if all conditions are met, for example: the number of times of opening the link by the target patient is less than three, the total browsing time length after each link opening is not more than 3 minutes, the returned first search content basically does not meet the expectation of the target patient, in order to provide relatively accurate content for the target patient, vector splicing is carried out on the first search content and the disease information of the disease suffered by the target patient to obtain a spliced vector, then candidate questions with the similarity higher than a preset threshold value are searched from a question bank related to the disease suffered by the target patient, the obtained candidate questions are all the questions related to the target patient, for example, ten questions are taken as an example, a candidate question with the highest similarity is selected as a first question to be provided for the target patient, after a first answer of the first question of the target patient is obtained, a candidate question with the highest similarity is selected from the remaining candidate questions according to the first answer to be provided for the target patient as a second question, in the method, when one candidate question with the highest similarity is selected from the candidate questions, the similarity of the rest candidate questions is reordered according to the answer of the previous candidate question, then the candidate question with the highest similarity is selected, in the way, the candidate question provided each time is closer to the question really wanted to be asked by the target patient, then all the obtained answers and all the candidate questions are input into the word prediction model to obtain a second search statement, then the second search statement is searched in the specified medical platform according to the second search statement, second search content obtained based on the second search statement is displayed on a content display interface, and in the way, the target patient can be searched for the second time, and further, the target patient can be ensured to obtain the desired content, and the content with higher accuracy can be fed back.
In one possible embodiment, the word prediction model is trained with all answers and all candidate questions.
After the word prediction model is trained in the above manner, a more accurate first search statement can be obtained by using the trained word prediction model, so that the searched content is more in line with the expectation of the target user.
EXAMPLE III
Fig. 3 is a schematic structural diagram of an information pushing apparatus according to a second embodiment of the present application, and as shown in fig. 3, the apparatus includes:
a first judging unit 31, configured to, after detecting that a target patient inputs a key sentence in a search box displayed by a target device, judge whether the key sentence includes a word related to a disease suffered by the target patient, where the search box includes a search box of a search website and a search box of a video-type website;
a second judging unit 32, configured to, if the key sentence includes a word related to the disease of the target patient, judge whether the first operation instruction of the target patient meets the following condition: the number of times that the target patient opens the link corresponding to the content fed back based on the key sentence is less than the preset number of times; after the link is opened every time, when the target patient browses the content corresponding to the opened link, the first total browsing time length is less than the preset time length;
the model unit 33 is configured to, if all the conditions are met, input the term related to the disease of the target patient in the key sentence and the disease information of the disease of the target patient into a term prediction model to obtain a first search sentence;
the display unit 34 is used for displaying a prompt box for indicating whether a specified medical platform is searched or not on the current interface;
the search unit 35 is configured to jump to a content display interface of the specified medical platform in response to the confirmation operation of the prompt box, where first search content obtained based on the first search statement is displayed on the content display interface, and the first search content includes text content, video content, and/or audio content.
In one possible embodiment, the apparatus further comprises:
a third judging unit, configured to judge whether the second operation instruction of the target patient meets the following condition: the number of times that the target patient opens the link corresponding to the first search content is smaller than the preset number of times; after the link is opened every time, when the target patient browses the content corresponding to the opened link, the second total browsing time length is less than the preset time length;
the splicing unit is used for carrying out vector splicing on the first search content and the disease information of the disease suffered by the target patient to obtain a spliced vector if all conditions are met;
the selecting unit is used for searching a candidate problem with the similarity higher than a preset threshold value with the splicing vector from a question bank related to the disease of the target patient;
the display unit is further used for displaying the first candidate question with the highest similarity to the target patient;
the display unit is further configured to, after obtaining an answer of the target patient to the candidate question with the highest similarity, select a second candidate question with the highest similarity from the remaining candidate questions according to the answer, display the second candidate question to the target patient, and so on until a preset number of questions is reached;
the model unit is also used for inputting all obtained answers and all candidate questions into the word prediction model to obtain a second search statement;
the searching unit is further used for searching in the specified medical platform according to the second searching statement;
the display unit is further configured to display second search content obtained based on the second search statement search on the content display interface, where the second search content includes text content, video content, and/or audio content.
In a possible embodiment, the search unit is further configured to:
and training the word prediction model by using all the obtained answers and all the candidate questions.
For the principle description of the second embodiment, reference may be made to the related description of the first embodiment, and detailed description thereof is omitted here.
In the embodiments provided in the present application, it should be understood that the disclosed apparatus and method may be implemented in other ways. The above-described embodiments of the apparatus are merely illustrative, and for example, the division of the units is only one logical division, and there may be other divisions when actually implemented, and for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection of devices or units through some communication interfaces, and may be in an electrical, mechanical or other form.
The units described as separate parts may or may not be physically separate, and 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 units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments provided in the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit.
The functions, if implemented in the form of software functional units and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present application or portions thereof that substantially contribute to the prior art may be embodied in the form of a software product stored in a storage medium and including instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
It should be noted that: like reference numbers and letters refer to like items in the following figures, and thus once an item is defined in one figure, it need not be further defined and explained in subsequent figures, and moreover, the terms "first", "second", "third", etc. are used merely to distinguish one description from another and are not to be construed as indicating or implying relative importance.
Finally, it should be noted that: the above-mentioned embodiments are only specific embodiments of the present application, and are used for illustrating the technical solutions of the present application, but not limiting the same, and the scope of the present application is not limited thereto, and although the present application is described in detail with reference to the foregoing embodiments, those skilled in the art should understand that: any person skilled in the art can modify or easily conceive the technical solutions described in the foregoing embodiments or equivalent substitutes for some technical features within the technical scope disclosed in the present application; such modifications, changes or substitutions do not depart from the spirit and scope of the present disclosure, which should be construed in light of the above teachings. Are intended to be covered by the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.
Claims (2)
1. An information pushing method, comprising:
after detecting that a target patient inputs a key sentence in a search box displayed by target equipment, judging whether the key sentence contains a word related to the disease of the target patient, wherein the search box comprises a search box of a search website and a search box of a video website;
if the key sentence contains words related to the disease of the target patient, judging whether the first operation instruction of the target patient meets the following conditions: the number of times that the target patient opens the link corresponding to the content fed back based on the key sentence is less than the preset number of times; after the link is opened every time, when the target patient browses the content corresponding to the opened link, the first total browsing time length is less than the preset time length;
if all conditions are met, inputting the words related to the disease of the target patient in the key sentences and the disease information of the disease of the target patient into a word prediction model to obtain a first search sentence;
displaying a prompt box for indicating whether a specified medical platform is searched or not on the current interface;
responding to the confirmation operation of the prompt box, jumping to a content display interface of the specified medical platform, wherein first search content obtained based on the first search statement is displayed on the content display interface, and the first search content comprises text content, video content and/or audio content;
the method further comprises the following steps:
judging whether the second operation instruction of the target patient meets the following conditions: the number of times that the target patient opens the link corresponding to the first search content is smaller than the preset number of times; after the link is opened every time, when the target patient browses the content corresponding to the opened link, the second total browsing time length is less than the preset time length;
if all the conditions are met, vector splicing is carried out on the first search content and the disease information of the disease of the target patient to obtain a spliced vector;
searching a question bank related to the disease of the target patient for candidate questions with the similarity higher than a preset threshold value with the splicing vector;
displaying the first candidate question with the highest similarity to the target patient;
after the answer of the target patient to the candidate question with the highest similarity is obtained, selecting a second candidate question with the highest similarity from the remaining candidate questions according to the answer, displaying the second candidate question to the target patient, and so on until a preset number of questions are reached;
inputting all the obtained answers and all the candidate questions into the word prediction model to obtain a second search statement;
searching in the designated medical platform according to the second search statement;
displaying second search content obtained based on the second search statement search on the content display interface, wherein the second search content comprises text content, video content and/or audio content;
the method further comprises the following steps:
and training the word prediction model by using all the obtained answers and all the candidate questions.
2. An information pushing apparatus, comprising:
the first judgment unit is used for judging whether a key sentence is included in the key sentence after detecting that a target patient inputs the key sentence in a search box displayed by target equipment, wherein the search box comprises a search box of a search website and a search box of a video website;
a second judging unit, configured to, if the key sentence includes a word related to a disease suffered by the target patient, judge whether the first operation instruction of the target patient meets the following condition: the number of times that the target patient opens the link corresponding to the content fed back based on the key sentence is less than the preset number of times; after the link is opened every time, when the target patient browses the content corresponding to the opened link, the first total browsing time length is less than the preset time length;
the model unit is used for inputting the words related to the diseases of the target patient in the key sentences and the disease information of the diseases of the target patient into a word prediction model to obtain first search sentences if all the conditions are met;
the display unit is used for displaying a prompt box used for indicating whether a specified medical platform is searched or not on the current interface;
the search unit is used for responding to the confirmation operation of the prompt box and jumping to a content display interface of the specified medical platform, wherein first search content obtained based on the first search statement is displayed on the content display interface, and the first search content comprises text content, video content and/or audio content;
the device also includes:
a third judging unit, configured to judge whether the second operation instruction of the target patient meets the following condition: the number of times that the target patient opens the link corresponding to the first search content is smaller than the preset number of times; after the link is opened every time, when the target patient browses the content corresponding to the opened link, the second total browsing time length is less than the preset time length;
the splicing unit is used for carrying out vector splicing on the first search content and the disease information of the disease suffered by the target patient to obtain a spliced vector if all conditions are met;
the selecting unit is used for searching a candidate problem with the similarity higher than a preset threshold value with the splicing vector from a question bank related to the disease of the target patient;
the display unit is further used for displaying the first candidate question with the highest similarity to the target patient;
the display unit is further configured to, after obtaining an answer of the target patient to the candidate question with the highest similarity, select a second candidate question with the highest similarity from the remaining candidate questions according to the answer, display the second candidate question to the target patient, and so on until a preset number of questions is reached;
the model unit is also used for inputting all obtained answers and all candidate questions into the word prediction model to obtain a second search statement;
the searching unit is further used for searching in the specified medical platform according to the second searching statement;
the display unit is further configured to display second search content obtained based on the second search statement search on the content display interface, where the second search content includes text content, video content, and/or audio content;
the search unit is further configured to:
and training the word prediction model by using all the obtained answers and all the candidate questions.
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| CN107766400A (en) * | 2017-05-05 | 2018-03-06 | 平安科技（深圳）有限公司 | Text searching method and system |
| US11113315B2 (en) * | 2018-04-27 | 2021-09-07 | Branch Metrics, Inc. | Search keyword generation |
| CN111768869B (en) * | 2020-09-03 | 2020-12-11 | 成都索贝数码科技股份有限公司 | Medical guide mapping construction search system and method for intelligent question-answering system |
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