CN114065057A - Search result determining method, display method, device, equipment and medium - Google Patents

Search result determining method, display method, device, equipment and medium Download PDF

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CN114065057A
CN114065057A CN202111434349.2A CN202111434349A CN114065057A CN 114065057 A CN114065057 A CN 114065057A CN 202111434349 A CN202111434349 A CN 202111434349A CN 114065057 A CN114065057 A CN 114065057A
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search result
content
target
medical
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韩小红
王金豪
杨国花
任阳
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Beijing ByteDance Network Technology Co Ltd
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Beijing ByteDance Network Technology Co Ltd
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90Details of database functions independent of the retrieved data types
    • G06F16/95Retrieval from the web
    • G06F16/953Querying, e.g. by the use of web search engines
    • G06F16/9535Search customisation based on user profiles and personalisation
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90Details of database functions independent of the retrieved data types
    • G06F16/904Browsing; Visualisation therefor
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90Details of database functions independent of the retrieved data types
    • G06F16/95Retrieval from the web
    • G06F16/953Querying, e.g. by the use of web search engines
    • G06F16/9538Presentation of query results
    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H50/00ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
    • G16H50/20ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems

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Abstract

The disclosure relates to a search result determination method, a display method, a device, equipment and a medium. The searching result determining method comprises the following steps: responding to medical search content, and determining a first target search intention type corresponding to the medical search content; determining an initial search result item matching the first target search intention type from search results corresponding to the medical search content; generating a target search result item based on the initial search result item; and the target search result item comprises type adaptation content corresponding to the first target search intention type. According to the embodiment of the disclosure, the target search result item can contain the type matching content required by the user, the secondary screening of the user on the search result is reduced, the consumption efficiency of the user on the search result is improved, and the satisfaction degree of the user on the search result in a medical search scene is improved.

Description

Search result determining method, display method, device, equipment and medium
Technical Field
The present disclosure relates to the field of search technologies, and in particular, to a search result determination method, a display method, an apparatus, a device, and a medium.
Background
The current comprehensive search engine generally performs comprehensive ranking on each search result item which is in accordance with the search condition in the whole network according to the comprehensive measurement of the correlation between the search result and the search word, the content quality of the search result and other factors, and then presents the ranked comprehensive search result to the user.
However, the search results presented by the above-described scheme may not well meet the user's requirements for search results. Particularly, in a medical search scenario, the search result includes a large number of text-type search result items, and a user may find a desired search result item only by reading a large number of texts, which undoubtedly increases the difficulty of obtaining the desired search result by the user and reduces the efficiency of consuming the search result by the user.
Disclosure of Invention
In order to solve the technical problems described above or at least partially solve the technical problems, the present disclosure provides a search result determination method, a presentation method, an apparatus, a device, and a medium.
In a first aspect, the present disclosure provides a method for determining search results, the method including:
responding to medical search content, and determining a first target search intention type corresponding to the medical search content;
determining an initial search result item matching the first target search intention type from search results corresponding to the medical search content;
generating a target search result item based on the initial search result item; and the target search result item comprises type adaptation content corresponding to the first target search intention type.
In a second aspect, the present disclosure provides a search result display method, including:
receiving medical search content;
displaying the target search result item within the search result page;
the target search result item comprises type adaptive content corresponding to a first target search intention type, the first target search intention type is a search intention type corresponding to the medical search content, the type adaptive content is obtained based on an initial search result item, and the initial search result item is a search result item which is matched with the first target search intention type in a search result corresponding to the medical search content.
In a third aspect, the present disclosure provides a search result determination apparatus, comprising:
the first target search intention type determining module is used for responding to medical search contents and determining a first target search intention type corresponding to the medical search contents;
an initial search result item determining module, configured to determine an initial search result item matching the first target search intention type from search results corresponding to the medical search content;
a target search result item generation module for generating a target search result item based on the initial search result item; and the target search result item comprises type adaptation content corresponding to the first target search intention type.
In a fourth aspect, the present disclosure provides a search result presentation apparatus, comprising:
the medical search content receiving module is used for receiving medical search content;
a target search result item display module for displaying a target search result item within the search result page;
the target search result item comprises type adaptive content corresponding to a first target search intention type, the first target search intention type is a search intention type corresponding to the medical search content, the type adaptive content is obtained based on an initial search result item, and the initial search result item is a search result item which is matched with the first target search intention type in a search result corresponding to the medical search content.
In a fifth aspect, the present disclosure provides an electronic device comprising:
a processor;
a memory for storing executable instructions;
the processor is configured to read the executable instructions from the memory and execute the executable instructions to implement the search result determination method provided by any embodiment of the present disclosure, or to implement the search result presentation method provided by any embodiment of the present disclosure.
In a sixth aspect, the present disclosure provides a computer-readable storage medium storing a computer program, which, when executed by a processor, causes the processor to implement the search result determination method provided in any embodiment of the present disclosure, or implement the search result presentation method provided in any embodiment of the present disclosure.
The search result determining method can respond to medical search content, determine a first target search intention type corresponding to the medical search content, determine an initial search result item matched with the first target search intention type from search results corresponding to the medical search content, and generate a target search result item based on the initial search result item, so that the target search result item contains type matching content required by a user, secondary screening of the search result by the user is reduced, difficulty of the user in obtaining the search result desired by the user is reduced, consumption efficiency of the user on the search result is improved, and satisfaction degree of the user on the search result under a medical search scene is improved.
According to the search result display method, after medical search content is received, the target search result item can be displayed in the search result page, the target search result item comprises type adaptive content corresponding to the first target search intention type corresponding to the medical search content, the type adaptive content is obtained based on the initial search result item matched with the first target search intention type in the search result corresponding to the medical search content, the target search result item comprising the type matched content required by the user is directly displayed to the user, secondary screening of the user on the search result is reduced, and therefore the consumption efficiency of the user on the search result and the satisfaction degree of the user on the search result are improved.
Drawings
The above and other features, advantages and aspects of various embodiments of the present disclosure will become more apparent by referring to the following detailed description when taken in conjunction with the accompanying drawings. Throughout the drawings, the same or similar reference numbers refer to the same or similar elements. It should be understood that the drawings are schematic and that elements and features are not necessarily drawn to scale.
Fig. 1 is a schematic flowchart of a search result determination method according to an embodiment of the present disclosure;
fig. 2 is a schematic flowchart of a search result displaying method according to an embodiment of the present disclosure;
FIG. 3 is a schematic diagram of a display of a search results page provided by an embodiment of the present disclosure;
FIG. 4 is a schematic diagram of a display of another search results page provided by an embodiment of the present disclosure;
FIG. 5 is a schematic diagram illustrating a display of yet another search results page provided by an embodiment of the present disclosure;
fig. 6 is a schematic structural diagram of a search result determining apparatus according to an embodiment of the present disclosure;
fig. 7 is a schematic structural diagram of a search result display apparatus according to an embodiment of the present disclosure;
fig. 8 is a schematic structural diagram of an electronic device according to an embodiment of the present disclosure.
Detailed Description
Embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. While certain embodiments of the present disclosure are shown in the drawings, it is to be understood that the present disclosure may be embodied in various forms and should not be construed as limited to the embodiments set forth herein, but rather are provided for a more thorough and complete understanding of the present disclosure. It should be understood that the drawings and embodiments of the disclosure are for illustration purposes only and are not intended to limit the scope of the disclosure.
It should be understood that the various steps recited in the method embodiments of the present disclosure may be performed in a different order, and/or performed in parallel. Moreover, method embodiments may include additional steps and/or omit performing the illustrated steps. The scope of the present disclosure is not limited in this respect.
The term "include" and variations thereof as used herein are open-ended, i.e., "including but not limited to". The term "based on" is "based, at least in part, on". The term "one embodiment" means "at least one embodiment"; the term "another embodiment" means "at least one additional embodiment"; the term "some embodiments" means "at least some embodiments". Relevant definitions for other terms will be given in the following description.
It should be noted that the terms "first", "second", and the like in the present disclosure are only used for distinguishing different devices, modules or units, and are not used for limiting the order or interdependence relationship of the functions performed by the devices, modules or units.
It is noted that references to "a", "an", and "the" modifications in this disclosure are intended to be illustrative rather than limiting, and that those skilled in the art will recognize that "one or more" may be used unless the context clearly dictates otherwise.
The names of messages or information exchanged between devices in the embodiments of the present disclosure are for illustrative purposes only, and are not intended to limit the scope of the messages or information.
In the related art, search engines can provide comprehensive search results for users, and some search engines can provide a highlighted search result item for users even on the basis of providing the comprehensive search results, wherein the highlighted search result item is a summary and summary of one search result item in the comprehensive search results, so that the users can more conveniently know main answer content aiming at search contents. However, the search result items ranked in the top or the highlighted search result items in the integrated search result provided by the above technical solution may not include the answer content of the type/genre required by the user. Particularly, in a medical scene, most of search result items in the comprehensive search result are text-type, and text-type content is presented in the highlighted search result items with higher probability. Therefore, the requirements of users on various types of search answers such as picture types or video types cannot be met, and the users are required to automatically integrate the search results and continuously select the required search result items, so that the difficulty of obtaining the desired search results by the users is improved, and the efficiency of consuming the search results by the users is reduced.
Based on the above situation, the embodiments of the present disclosure provide a search result determining and displaying scheme, so as to identify a first target search intention type of a user through medical search content input by the user in a search scene in the medical field, and further determine and display a target search result item matched with the first target search intention type, so that the user can directly view answer content required by the user, and secondary screening of the user on the search result is reduced, thereby improving consumption efficiency of the user on the search result and satisfaction degree of the user on the search result in the medical search scene.
The following describes a search result determination method provided by the embodiment of the present disclosure with reference to fig. 1.
In the embodiment of the present disclosure, the search result determining method may be performed by a search result determining apparatus, which may be implemented in a software and/or hardware manner, and the apparatus may be integrated in an electronic device where a server performing a search engine function is located. The electronic device may include, but is not limited to, a laptop computer, a desktop computer, a server, or a server cluster.
Fig. 1 shows a flowchart of a search result determination method provided by an embodiment of the present disclosure. As shown in fig. 1, the search result determination method may include the steps of:
and S110, responding to the medical search content, and determining a first target search intention type corresponding to the medical search content.
The medical search content refers to search content of a medical field input by a user. The search content refers to content that requires a search engine to perform a search operation and feed back a search result, and may be a keyword or a complete long sentence or a short sentence. The first target search intention type refers to a search intention type corresponding to medical search content, which is screened from a plurality of candidate search intention types. The candidate search intention type refers to alternative search intention types provided by the server side. The search intention type refers to a type or genre of an answer that a user wants to get when performing a search. Illustratively, the search intention type may include a text type, a picture type, or a video type.
In particular, in the medical field of search engines, since the medical answers provided by the parties are mostly of the plain text type, the combined search results returned by the search engine and the highlighted search result items are also mostly of the plain text type. However, the type of search intention of the user for the medical field is not just a text type. For example, when the user inputs search contents such as "cause of formation of xx", "symptom of xx", and the like, the text may inform the user of the pathology of xx more clearly, and then the type of search intention thereof is the text type; when a user inputs 'xx position', 'where xx' and the like to search contents, pictures can more intuitively inform the user of the position of xx, and then the type of the search intention is a picture type; when the user inputs search contents such as "xx how to do", "xx flow", and the like, the video can inform the user of the operation process of xx more quickly and clearly, and then the type of the search intention is the type of the video. Based on the method, after receiving the medical search content sent by the client, the electronic device identifies the search intention type of the medical search content, namely, one search intention type which is suitable for the medical search content is selected from all the search intention types to serve as a first target search intention type, so that a search answer of the type required by the user can be provided for the user according to the first target search intention type.
In some embodiments, S110 may be implemented as: medical search content is input into the intent type recognition model, and a first target search intent type is determined based on output results of the intent type recognition model.
Wherein the intention type recognition model is a model for recognizing a search intention type of the user. The intention type recognition model is obtained by pre-training a machine learning model by using search samples corresponding to the historical search contents. The history search content is search content input by each user searching before the current time. The search sample is sample data of model training, which at least includes search content and its corresponding search intention type.
Specifically, in order to more accurately identify the type of the search intention, in the present embodiment, a large number of search samples are utilized in advance, and a machine learning model capable of capturing more implicit information of the search samples is trained to obtain an intention type identification model. In addition, in the application process of the model, the intention type recognition model can be continuously optimized in a self-learning enhancement mode, so that the accuracy of the intention type recognition model is continuously improved.
When the medical search system is specifically implemented, the electronic equipment inputs medical search content into the intention type recognition model, and an output result of the model can be obtained through model operation. The output result may be an intent search type identification, and the electronic device may then determine the first target search intent type directly from the intent search type identification. The output result may also be a probability that the medical search content belongs to each search intention type, and the electronic device may determine the search intention type corresponding to the maximum probability as the first target search intention type.
In some embodiments, the search sample is constructed in advance by:
and step A, determining a second target search intention type corresponding to each historical search content based on the historical behavior data corresponding to the search result of each historical search content.
The historical behavior data refers to consumption behavior data of a user on search results of historical search content, which is obtained through user authorization, and may be, for example, interactive behavior data of which search result items in the search results are clicked, praised, commented, shared, and the like by the user. The second target search intention type refers to a search intention type corresponding to a certain historical search content, which is screened from the candidate search intention types.
Specifically, the electronic device obtains historical search contents, search results corresponding to each historical search content, and historical behavior data authorized by a user corresponding to each search result. And then, the electronic equipment performs data summarization, classification and analysis on the acquired various information to determine a second target search intention type corresponding to each historical search content.
In some embodiments, step a may be implemented as: and aiming at each historical search content, determining the interaction times of the search result item corresponding to each candidate search intention type in the historical behavior data obtained by authorization of the user and the total interaction times of the search result items corresponding to the candidate search intention types, determining the proportion of the interaction times in the total interaction times, and determining a second target search intention type corresponding to the historical search content based on the proportion.
The number of interactions refers to the number of interactions such as clicking, praise, comment and share performed on a certain search result item by each user.
Specifically, for a certain historical search content and a certain candidate search intention type, the electronic equipment screens out a search result item containing answer content of the candidate search intention type from a search result corresponding to the historical search content; and then, extracting the interaction times corresponding to each screened search result item from the historical behavior data corresponding to the historical search content, and summing up the interaction times to obtain the interaction times corresponding to the candidate search intention type. According to the process, the electronic equipment can obtain the number of interactions corresponding to each candidate search intention type under the historical search content.
And then, the electronic equipment sums up the interaction times corresponding to each candidate search intention type, so that the total interaction times corresponding to each candidate search intention type in the historical search content can be obtained. And finally, the electronic equipment calculates the ratio of the interaction times corresponding to each candidate search intention type to the total interaction times, and determines the candidate search intention type corresponding to the maximum ratio as a second target search intention type corresponding to the historical search content.
According to the above process, the electronic device may determine a second target search intention type corresponding to each of the historical search contents. In this way, the second target search intention types of the historical search contents can be labeled according to behavior data authorized by the user, and a search sample which meets the requirements of the user better is provided for model training, so that the accuracy of the intention type identification model is further improved.
For example, the search result of a certain historical search content includes search result item 1, search result item 2, and search result item 3, and the number of interactions corresponding to the three search result items is 5, 7, and 2, respectively; if the electronic device is provided with a candidate search intention type 1 and a candidate search intention type 2, and the search result item 1 is attributed to the candidate search intention type 1, and the search result item 2 and the search result item 3 are attributed to the candidate search intention type 2, then the information shown in the following table is available:
Figure BDA0003381297900000091
according to the above description, the number of interactions corresponding to the candidate search intention type 1 is 5, the number of interactions corresponding to the candidate search intention type 2 is 9, and the total number of interactions corresponding to the history search content is 14. Then, the ratio corresponding to the candidate search intention type 1 is 5/14, and the ratio corresponding to the candidate search intention type 2 is 9/14. Based on this, the electronic device may determine that the second target search intention type corresponding to the historical search content is the candidate search intention type 2.
And B, determining the search content characteristics corresponding to each second target search intention type based on the historical search contents corresponding to each second target search intention type.
Wherein, the search content feature refers to a common feature of a certain type of search content. In the embodiment of the present disclosure, the search content feature refers to a common feature of each historical search content corresponding to a certain second target search intention type, and at least includes at least one of a question asking manner, a keyword, and a search field. The questioning mode is used for characterizing the sentence structure of the historical search content. The search domain refers to a segment domain in the medical domain.
Specifically, after step a, the electronic device may classify all the historical search contents according to their corresponding second target search intention types, so as to obtain a plurality of historical search contents corresponding to each second target search intention type. Then, the electronic device performs feature extraction on each historical search content corresponding to each second target search intention type according to the question method, the keyword and the dimension of the search field to obtain a search content feature corresponding to each second target search intention type, and exemplary data of the search content feature can be seen in the following table (which is only an example and is not exhaustive):
Figure BDA0003381297900000092
and C, constructing each search sample based on each historical search content, the second target search intention type corresponding to the search content and the search content characteristics corresponding to the second target search intention type.
Specifically, the electronic device takes a certain historical search content, a second target search intention type corresponding to the historical search content, and a search content characteristic corresponding to the second target search intention type as a search sample. Based on this, a search sample corresponding to each historical search content may be obtained.
By the method for constructing the search sample provided by the steps A to C, the search sample containing the search content, the second target search intention type and the search content characteristics can be obtained, manual participation is not needed in the construction process, the human error of the search sample can be reduced, and the accuracy of automatic labeling is improved because the labeling of the second target search intention type is carried out by means of user behavior data.
And S120, determining an initial search result item matched with the first target search intention type from the search results corresponding to the medical search contents.
Specifically, after acquiring the medical search content, the electronic device searches the medical search content to obtain a search result including a plurality of search result items. Then, the electronic device screens the search result items contained in the search result according to the determined first target search intention type, and determines a search result item matched with the first target search intention type, namely an initial search result item.
In an example, the electronic device may employ a related ranking algorithm of the integrated search to rank the search result items in the search result, resulting in the search result items of the integrated ranking. Then, the search result items in the comprehensive ordering are screened for the first time, namely, the search result items which are matched with the first target search intention type and keep the original ordering order are screened from the search result items in the comprehensive ordering to be used as a primary screening result. And then, the electronic equipment performs secondary screening on the primary screening results, namely selects a search result item which is ranked most at the top from the primary screening results to serve as an initial search result item.
In another example, the electronic device may first filter each of the search result items according to the first target search intention type, i.e., select at least one of the search result items that matches the first target search intention type from the search result items. Then, the electronic device ranks the screened at least one search result item by using a search ranking algorithm in the related technology, and selects a search result item ranked most forward in the ranking results as an initial search result item.
And S130, generating a target search result item based on the initial search result item.
Wherein the target search result item is a highlighted search result item, which is a result of inductive sorting of the content in the initial search result item. Illustratively, the target search result item contains type adapted content corresponding to the first target search intention type. The type adapted content refers to content matched with the first target search intention type, for example, the first target search intention type is a picture type, and then the type adapted content is a picture in the initial search result item.
Specifically, the electronic device extracts, summarizes and arranges information of the initial search result item according to the first target search intention type and the generation rule of the highlighted search result item, and then the target search result item can be obtained.
In some embodiments, in the case that the first target search intention type is a text type, S130 may be implemented as: generating summary information based on the text content in the initial search result item; and generating the target search result item based on the summary information and other contents except the text contents in the initial search result item.
Specifically, the electronic device performs abstract extraction on the text content in the initial search result item by using an abstract extraction algorithm in the related art to obtain a summarized description of the text content in the initial search result item, that is, abstract information, as the type adaptation content. Then, the electronic device extracts the relevant information (such as title, web address, doctor information including name, hospital and department, etc.) of the initial search result item from other contents in the initial search result item according to the information to be shown in the highlighted search result item. And finally, the electronic equipment generates a target search result item according to the summary information and the related information.
In other embodiments, in the case that the first target search intention type is a picture type or a video type, S130 may be implemented as: extracting type adaptation content corresponding to the first target search intention type from the initial search result item; generating summary information based on the text content in the initial search result item; and generating a target search result item based on the type adaptation content and the abstract information.
Specifically, when the first target search intention type is a picture type or a video type, the electronic device needs to extract the picture content or the video content from the initial search result item as type adapted content according to the first target search intention type. Meanwhile, the electronic equipment extracts the abstract information and the related information from the initial search result item. Then, the electronic equipment generates a target search result item according to the type adaptation content, the abstract information and the related information. Therefore, the target search result item obtained by searching in the medical field contains the picture or the video, the answer type of the medical search result is expanded, the matching degree of the target search result item and the user requirement is further improved, and therefore the consumption efficiency and the search experience of the user are improved.
The search result determining method provided by the disclosure can respond to medical search content, determine a first target search intention type corresponding to the medical search content, determine an initial search result item matched with the first target search intention type from search results corresponding to the medical search content, and generate a target search result item based on the initial search result item, so that the target search result item contains type matching content required by a user, secondary screening of the search result by the user is reduced, the difficulty of the user in obtaining the desired search result is reduced, the consumption efficiency of the user on the search result is improved, and the satisfaction degree of the user on the search result in a medical search scene is improved.
In some embodiments, before S130, the search result determination method further includes: responding to the medical search content, and determining whether a medical event corresponding to the medical search content has a medical need; if the medical seeking requirement exists, determining a medical seeking result based on the medical seeking content.
The medical event is an event of medical nature that has already occurred and corresponds to the medical search content. For example, it can be known that the corresponding medical event is "stroke occurred" from the medical search content of the operation type "what should be done when stroke occurred". The medical requirement refers to the requirement that a hospital requires a professional doctor to handle. The medical search result refers to a result obtained by searching for information required for medical care, such as which department should go to, which hospitals are recommended, which doctors in the hospitals are recommended, whether and how to register, and the like.
Specifically, after receiving the medical search content, the electronic device may further determine whether the medical search content belongs to the search content of the operation class according to the search content feature of the medical search content. If the medical search content belongs to the search content of the operation class, the electronic device may further determine a medical event based on the medical search content, and determine whether the user needs to seek medical advice according to the medical event, i.e., determine whether there is a medical advice requirement. If the judgment result shows that the medical treatment needs exist, the electronic equipment can search the medical treatment related information according to the medical treatment search content or the medical treatment event to obtain the medical treatment search result. Therefore, more search result information can be provided for the user, the user can conveniently perform subsequent consumption of the search result, the process that the user re-inputs the search content and searches is saved, and the search efficiency of the user and the consumption efficiency of the search result are further improved.
On the basis of the above embodiment, S130 may be implemented as: based on the initial search result item and the hospitality search results, a target search result item is generated.
Specifically, the electronic device extracts, summarizes and arranges the information of the obtained initial search result and the obtained hospitalizing search result according to the generation rule of the highlighted search result item, so as to obtain a target search result item containing more search result information. Therefore, the type adaptation content and the medical information (namely the medical information) can be highlighted, so that the user can more conveniently and quickly acquire the required information, and the search efficiency of the user and the consumption efficiency of the search result are further improved.
In some embodiments, the generating the target search result item based on the initial search result item and the hospitality search result comprises: determining operation guidance information based on the initial search result item; determining hospitalization information based on the hospitalization search results; and generating a target search result item based on the operation guide information and the hospitalizing information.
The operation guidance information is information for guiding the user to perform emergency processing of the medical event. The operation guide information comprises type adaptation content and summary information corresponding to the initial search result item. The hospitalizing information comprises at least one target hospital, at least one target doctor in the target hospital, at least one registration hospital and a registration mode corresponding to the registration hospital. The target hospital is a hospital which is authorized and is good at handling medical events corresponding to medical search contents. The target doctor is a doctor who specializes in the above medical events and has a good public praise in the target hospital. The registration hospital is a normal hospital that can handle the medical event and can be currently registered, and may be a target hospital or a hospital other than the target hospital. The registration mode refers to a way of registration provided by a registration hospital. For example, in the case of telephone registration, the registration mode is a registered telephone number; under the condition of network registration, the registration mode is a registration identifier or a registration application program name embedded into a registration website link; under the condition of on-site registration, the registration mode is related prompt of on-site registration to a hospital and the like.
Specifically, the electronic device extracts information of the initial search result item to obtain type adaptation content contained in the initial search result item and abstract information corresponding to text content of the type adaptation content. And the electronic equipment filters each search result item in the hospitalizing search results to obtain at least one search result item related to the target hospital, the target doctor, the registration hospital and the registration mode. Then, the electronic device extracts and summarizes the obtained at least one search result item to obtain the hospitalizing information, namely at least one target hospital, at least one target doctor in the target hospital, at least one registration hospital and a registration mode corresponding to the registration hospital. Finally, the electronic equipment generates a target search result item according to the obtained operation guide information and the hospitalizing information. Therefore, the user can quickly see the operation guide information required by the user to directly search, emergency treatment is convenient to carry out on medical events, and the medical information related to the search can be quickly seen, so that quick medical treatment is realized according to the medical information.
The following describes a search result display method provided by the embodiment of the present disclosure with reference to fig. 2 to 5.
In the embodiment of the present disclosure, the search result presentation method may be performed by a search result presentation apparatus, which may be implemented by software and/or hardware, and may be integrated in an electronic device with a display function. The electronic device may include, but is not limited to, a smart phone, a PDA (personal digital assistant), a PAD (tablet computer), a PMP (portable multimedia player), a notebook computer, a vehicle-mounted terminal (e.g., a car navigation terminal), a mobile terminal of a wearable device, etc., and a stationary terminal such as a digital TV, a desktop computer, a smart home device, etc.
Fig. 2 shows a flowchart of a search result presentation method provided by an embodiment of the present disclosure. As shown in fig. 2, the search result presentation method may include the steps of:
and S210, receiving medical search content.
In particular, the electronic device may receive medical search content entered by a user within a content search page of a particular application or a particular website.
In one example, the user may input information in any form of text, voice, image, and the like in a search box within the content search page, so that the electronic device uses text corresponding to the information input by the user as medical search content input by the user.
In another example, a plurality of candidate search contents may be further displayed in the content search page, and the user may select among the displayed candidate search contents, so that the electronic device uses the candidate search contents selected by the user as the medical search contents.
In the embodiment of the disclosure, after the electronic device receives the medical search content input by the user, the medical search content can be sent to the server. The server can execute the search result determination method described in any embodiment of the present disclosure to obtain the target search result item, and feed it back to the electronic device.
And S220, displaying the target search result item in the search result page.
The target search result item comprises type adaptive content corresponding to the first target search intention type, the first target search intention type is a search intention type corresponding to the medical search content, the type adaptive content is obtained based on the initial search result item, and the initial search result item is a search result item matched with the first target search intention type in a search result corresponding to the medical search content.
Specifically, after receiving the target search result item fed back by the server, the electronic device displays a search result page, and displays the target search result item in the search result page.
In some embodiments, in the case that the first target search intention type is a picture type or a video type, S220 may be implemented as: and sequentially displaying the type adaptation content and the abstract information in the target search result item in a set area of the search result page.
The set area is a preset display area in the search result page. For example, the set area may be a top area of a search results page to highlight the target search result item. For another example, the set region may be a middle region in the search results page when there is more important information to display than the target search results item in the search results page.
Specifically, in order to enable the user to more intuitively know the content of the search result when the first target search intention type is a picture type or a video type, the electronic device may display logic in the order of the search result page, and display the type-adapted content in the set area of the search result page first, and then display the summary information. For example, if the sequential display logic of the search result page is from left to right, the type adaptation content is displayed on the leftmost side of the set area, and the summary information is displayed on the right side of the type adaptation content.
For example, referring to FIG. 3, the sequential display logic of electronic device 300 is from top to bottom, and then electronic device 300 displays the target search result item of the medical search content "Wash face Correct method" in the top area 302 of search results page 301 after obtaining the target search result item. Specifically, type adaptation content, namely a video 303 of "how to wash face correctly", is displayed on the upper portion of the top area 302, and summary information 304 of "three things need to be done for correct face washing" is displayed below the video 303 of "how to wash face correctly". Further, in the case where doctor information is also contained in the target search result item, the doctor information 305 may also be continuously displayed below the summary information 304 in the top area 302. Also, the bottom-most region 302 may also display a "view more" control 306 that embeds the textual link of the initial search result item corresponding to the target search result item. After the user clicks the "view more" control 306, the electronic device may jump to display the page corresponding to the initial search result item.
As another example, referring to fig. 4, the electronic device 400 displays a search results page 401 of medical search content "where knee joint is". The title 403 of the initial search result item and the doctor information 404 are displayed above the top area 402 of the search results page 401, and type-adapted content, i.e. a picture 405 about the knee joint, is displayed below these information. When there are a plurality of the pictures 405 regarding the knee joint in the initial search result item, the plurality of pictures 405 may be displayed in the search result page 401, which may be displayed in the form of a slide card that is slide-switched in the left-right direction, a picture set that displays only the cover picture, or a stack-type picture card that is slide-switched in the left-right direction. Also, summary information 406 and a "view more" control 407 are displayed below the picture 405.
According to the search result display method provided by the disclosure, after medical search content is received, the target search result item can be displayed in the search result page, the target search result item comprises type adaptation content corresponding to the first target search intention type corresponding to the medical search content, the type adaptation content is obtained based on the initial search result item matched with the first target search intention type in the search result corresponding to the medical search content, the target search result item comprising the type matching content required by the user is directly displayed for the user, secondary screening of the user on the search result is reduced, and therefore the consumption efficiency of the user on the search result and the satisfaction degree of the user on the search result are improved.
In some embodiments, in the case that there is a medical event for which the medical search content corresponds to a medical event, S220 may be implemented as: and displaying the operation guide information and the hospitalizing information in the target search result item in the search result page.
The operation guide information comprises type adaptation content and abstract information corresponding to the initial search result item. The hospitalizing information comprises at least one target hospital, at least one target doctor in the target hospital, at least one registration hospital and a registration mode corresponding to the registration hospital.
Specifically, according to the above description, when the medical search content is the search content of the operation class and the medical event corresponding to the medical search content has a medical requirement, the target search result item fed back by the server includes the operation guidance information and the medical information. Then, the electronic device displays the operation guidance information and the medical information in the search result page at the same time.
As shown in fig. 5, the electronic device 500 displays a search result page 501 of medical search content "how a stroke occurred". A video 503 of "what should be done when a stroke occurs" is displayed first in a top area 502 of the search result page 501, summary information 504 is continuously displayed below the video 503, doctor information 505 and a control 506 of "view more" are continuously displayed below the summary information 504, and hospitalization information 507 is displayed below the control 506 of "view more". The display order and the display style of each item of content in the hospitalization information 507 are not limited.
In some embodiments, before displaying the operation guidance information and the hospitalization information in the target search result item in the search result page, the search result display method further comprises: and determining the display sequence of the operation guide information and the hospitalizing information based on the treatment mode of the medical event corresponding to the medical search content.
The treatment method is a treatment method for a medical event, and may be, for example, emergency treatment by first aid on site or medical delivery treatment by immediate medical delivery.
Specifically, when the target search result item contains the operation guide information and the medical information, the electronic device may display the operation guide information corresponding to the medical search content input by the user at the first position and display the medical information at the rear position when displaying, so as to directly respond to the search operation of the user. However, in order to display a search result more suitable for the actual needs of the user and strive to process the medical event within the optimal time, the electronic device may adjust the display order of the two pieces of information according to the treatment manner of the medical event corresponding to the medical search content, and display the operation guidance information and the hospitalization information in the adjusted order.
On the basis of the above embodiment, the above displaying of the operation guidance information and the hospitalization information in the target search result item in the search result page may be implemented as: if the treatment mode is emergency treatment, sequentially displaying operation guide information and hospitalizing information in a set area of a search result page; and if the treatment mode is medical treatment delivery, sequentially displaying the hospitalizing information and the operation guide information in a set area of the search result page.
Specifically, the electronic device identifies the manner of treatment it is adapted to based on the medical event. If the treatment mode is emergency treatment, the electronic equipment firstly displays operation guide information in a set area of a search result page so that a user can see the information preferentially and perform corresponding emergency treatment measures, and then displays medical information so that the user can see medical information quickly after emergency treatment.
If the treatment mode is medical service delivery treatment, the electronic equipment firstly displays the medical information and related prompts for suggesting direct medical treatment in the set area of the search result page so that the user can conveniently and quickly seek medical treatment according to the medical information, and then can display operation guide information to inform the user of the treatment process of a professional doctor.
With continued reference to fig. 5, when the treatment modality is emergency treatment, the electronic device may display the operation guidance information (i.e., the video 503, the summary information 504, the doctor information 505, and the "view more" control 506) and the hospitalization information 507 in the order shown in fig. 5. When the treatment method is medical treatment, the electronic device may display the medical information 507 at the top of the top area 502, and display the operation guidance information (i.e., the video 503, the summary information 504, the doctor information 505, and the "view more" control 506) below the medical information 507.
Fig. 6 shows a schematic structural diagram of a search result determination apparatus according to an embodiment of the present disclosure. As shown in fig. 6, the search result determining apparatus 600 may include:
a first target search intention type determining module 610, configured to determine, in response to the medical search content, a first target search intention type corresponding to the medical search content;
an initial search result item determination module 620, configured to determine an initial search result item matching the first target search intention type from search results corresponding to the medical search content;
a target search result item generation module 630 for generating a target search result item based on the initial search result item; and the target search result item comprises type adaptation content corresponding to the first target search intention type.
By the search result determining device, the first target search intention type corresponding to the medical search content can be determined in response to the medical search content, the initial search result item matched with the first target search intention type is determined from the search result corresponding to the medical search content, the target search result item is generated based on the initial search result item, the type matching content required by the user is contained in the target search result item, secondary screening of the search result by the user is reduced, the difficulty of obtaining the search result desired by the user is reduced, the consumption efficiency of the search result by the user is improved, and the satisfaction degree of the user on the search result in the medical search scene is improved.
In some embodiments, the first target search intent type determination module 610 is specifically configured to:
inputting medical search content into an intention type recognition model, and determining a first target search intention type based on an output result of the intention type recognition model;
the intention type recognition model is obtained by pre-training search samples corresponding to historical search contents.
In some embodiments, the search result determining apparatus 600 further comprises a search sample construction module for constructing each search sample in advance by:
determining a second target search intention type corresponding to each historical search content based on historical behavior data corresponding to the search result of each historical search content;
determining the search content characteristics corresponding to each second target search intention type based on the historical search contents corresponding to each second target search intention type; wherein, the search content characteristics comprise at least one item of a questioning mode, keywords and a search field;
and constructing each search sample based on each historical search content, the second target search intention type corresponding to the search content and the search content characteristics corresponding to the second target search intention type.
In some embodiments, the search sample construction module is specifically configured to:
determining the interaction times of the search result items corresponding to each candidate search intention type and the total interaction times of the search result items corresponding to each candidate search intention type in the historical behavior data aiming at each historical search content;
and determining the proportion of the interaction times in the total interaction times for each historical search content, and determining a second target search intention type corresponding to the historical search content based on the proportion.
In some embodiments, the target search result item generation module 630 is specifically configured to:
under the condition that the first target search intention type is a picture type or a video type, extracting type adaptation content corresponding to the first target search intention type from the initial search result item;
generating summary information based on the text content in the initial search result item;
and generating a target search result item based on the type adaptation content and the abstract information.
In some embodiments, the search result determination apparatus 600 further comprises a hospitalization search result determination module for:
determining whether a medical event corresponding to the medical search content has a medical need in response to the medical search content before generating the target search result item based on the initial search result item;
if so, determining a medical search result based on the medical search content.
Further, the target search result item generation module 630 is further configured to:
based on the initial search result item and the hospitality search results, a target search result item is generated.
Further, the target search result item generating module 630 is specifically configured to:
determining operation guidance information based on the initial search result item; the operation guide information comprises type adaptation content and abstract information corresponding to the initial search result item;
determining hospitalization information based on the hospitalization search results; the medical information comprises at least one target hospital, at least one target doctor in the target hospital, at least one registration hospital and a registration mode corresponding to the registration hospital;
and generating a target search result item based on the operation guide information and the hospitalizing information.
It should be noted that the search result determining apparatus 600 shown in fig. 6 may perform each step in the search result determining method described in any embodiment of the present disclosure, and implement each process and effect in the search result determining method described in any embodiment of the present disclosure, which are not described herein again.
Fig. 7 shows a schematic structural diagram of a search result presentation apparatus according to an embodiment of the present disclosure. As shown in fig. 7, the search result presentation apparatus 700 may include:
a medical search content receiving module 710 for receiving medical search content;
a target search result item display module 720 for displaying the target search result item within the search result page;
the target search result item comprises type adaptive content corresponding to the first target search intention type, the first target search intention type is a search intention type corresponding to the medical search content, the type adaptive content is obtained based on the initial search result item, and the initial search result item is a search result item matched with the first target search intention type in a search result corresponding to the medical search content.
By the search result display device, after medical search content is received, the target search result item can be displayed in the search result page, the target search result item comprises type adaptive content corresponding to the first target search intention type corresponding to the medical search content, the type adaptive content is obtained based on the initial search result item matched with the first target search intention type in the search result corresponding to the medical search content, the target search result item comprising the type matched content required by the user is directly displayed to the user, secondary screening of the user on the search result is reduced, and therefore the consumption efficiency of the user on the search result and the satisfaction degree of the user on the search result are improved.
In some embodiments, target search result item display module 720 is specifically configured to:
under the condition that the first target search intention type is a picture type or a video type, sequentially displaying type adaptation content and summary information in a target search result item in a set area of a search result page; wherein the summary information is generated based on the textual content in the initial search result item.
In some embodiments, target search result item display module 720 is further configured to:
under the condition that a medical event corresponding to the medical search content has a medical seeking requirement, displaying operation guide information and medical seeking information in the target search result item in a search result page;
the operation guide information comprises type adaptation content and abstract information corresponding to the initial search result item; the hospitalizing information comprises at least one target hospital, at least one target doctor in the target hospital, at least one registration hospital and a registration mode corresponding to the registration hospital.
In some embodiments, the search result presentation apparatus 700 further comprises a display order determination module for:
before the operation guide information and the hospitalizing information in the target search result item are displayed in the search result page, the display sequence of the operation guide information and the hospitalizing information is determined based on the treatment mode of the medical event corresponding to the medical search content.
Further, the target search result item display module 720 is specifically configured to:
if the treatment mode is emergency treatment, sequentially displaying operation guide information and hospitalizing information in a set area of a search result page;
and if the treatment mode is medical treatment delivery, sequentially displaying the hospitalizing information and the operation guide information in a set area of the search result page.
It should be noted that the search result presentation apparatus 700 shown in fig. 7 may perform each step of the search result presentation method described in any embodiment of the present disclosure, and implement each process and effect in the search result presentation method described in any embodiment of the present disclosure, which are not described herein again.
Embodiments of the present disclosure also provide an electronic device that may include a processor and a memory, which may be used to store executable instructions. The processor may be configured to read the executable instructions from the memory and execute the executable instructions to implement the search result determining method in any of the embodiments described above, or implement the search result displaying method in any of the embodiments described above.
Fig. 8 shows a schematic structural diagram of an electronic device provided in an embodiment of the present disclosure. It should be noted that the electronic device 800 shown in fig. 8 is only an example, and should not bring any limitation to the functions and the scope of the embodiments of the present disclosure.
As shown in fig. 8, the electronic device 800 may include a processing means (e.g., a central processing unit, a graphics processor, etc.) 801 that may perform various appropriate actions and processes in accordance with a program stored in a Read Only Memory (ROM)802 or a program loaded from a storage means 808 into a Random Access Memory (RAM) 803. In the RAM 803, various programs and data necessary for the operation of the information processing apparatus 800 are also stored. The processing apparatus 801, the ROM 802, and the RAM 803 are connected to each other by a bus 804. An input/output interface (I/O interface) 805 is also connected to the bus 804.
Generally, the following devices may be connected to the I/O interface 805: input devices 806 including, for example, a touch screen, touch pad, keyboard, mouse, camera, microphone, accelerometer, gyroscope, etc.; output devices 807 including, for example, a Liquid Crystal Display (LCD), speakers, vibrators, and the like; storage 808 including, for example, magnetic tape, hard disk, etc.; and a communication device 809. The communication means 809 may allow the electronic device 800 to communicate wirelessly or by wire with other devices to exchange data. While fig. 8 illustrates an electronic device 800 having various means, it is to be understood that not all illustrated means are required to be implemented or provided. More or fewer devices may alternatively be implemented or provided.
The embodiments of the present disclosure also provide a computer-readable storage medium, which stores a computer program, and when the computer program is executed by a processor, the processor is enabled to implement the search result determining method in any embodiment of the present disclosure, or implement the search result displaying method in any embodiment of the present disclosure.
In particular, according to an embodiment of the present disclosure, the processes described above with reference to the flowcharts may be implemented as computer software programs. For example, embodiments of the present disclosure include a computer program product comprising a computer program carried on a non-transitory computer readable medium, the computer program containing program code for performing the method illustrated by the flow chart. In such an embodiment, the computer program may be downloaded and installed from a network through the communication means 809, or installed from the storage means 808, or installed from the ROM 802. The computer program, when executed by the processing apparatus 801, performs the above-described functions defined in the search result determination method in any of the embodiments of the present disclosure, or performs the above-described functions defined in the search result presentation method in any of the embodiments of the present disclosure.
It should be noted that the computer readable medium in the present disclosure can be a computer readable signal medium or a computer readable storage medium or any combination of the two. A computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples of the computer readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the present disclosure, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. In contrast, in the present disclosure, a computer readable signal medium may comprise a propagated data signal with computer readable program code embodied therein, either in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to: electrical wires, optical cables, RF (radio frequency), etc., or any suitable combination of the foregoing.
In some embodiments, the clients, servers may communicate using any currently known or future developed network protocol, such as HTTP, and may be interconnected with any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include a local area network ("LAN"), a wide area network ("WAN"), the Internet (e.g., the Internet), and peer-to-peer networks (e.g., ad hoc peer-to-peer networks), as well as any currently known or future developed network.
The computer readable medium may be embodied in the electronic device; or may exist separately without being assembled into the electronic device.
The computer-readable medium carries one or more programs which, when executed by the electronic device, cause the electronic device to perform the search result determination method described in any of the embodiments of the present disclosure, or perform the search result presentation method described in any of the embodiments of the present disclosure.
In embodiments of the present disclosure, computer program code for carrying out operations of the present disclosure may be written in any combination of one or more programming languages, including but not limited to an object oriented programming language such as Java, Smalltalk, C + +, and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer (for example, through the Internet using an Internet service provider).
The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of apparatus, methods and computer program products according to various embodiments of the present disclosure. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
The units described in the embodiments of the present disclosure may be implemented by software or hardware. Where the name of an element does not in some cases constitute a limitation on the element itself.
The functions described herein above may be performed, at least in part, by one or more hardware logic components. For example, without limitation, exemplary types of hardware logic components that may be used include: field Programmable Gate Arrays (FPGAs), Application Specific Integrated Circuits (ASICs), Application Specific Standard Products (ASSPs), systems on a chip (SOCs), Complex Programmable Logic Devices (CPLDs), and the like.
In the context of this disclosure, a machine-readable medium may be a tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. The machine-readable medium may be a machine-readable signal medium or a machine-readable storage medium. A machine-readable medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. More specific examples of a machine-readable storage medium would include an electrical connection based on one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
The foregoing description is only exemplary of the preferred embodiments of the disclosure and is illustrative of the principles of the technology employed. It will be appreciated by those skilled in the art that the scope of the disclosure herein is not limited to the particular combination of features described above, but also encompasses other embodiments in which any combination of the features described above or their equivalents does not depart from the spirit of the disclosure. For example, the above features and (but not limited to) the features disclosed in this disclosure having similar functions are replaced with each other to form the technical solution.
Further, while operations are depicted in a particular order, this should not be understood as requiring that such operations be performed in the particular order shown or in sequential order. Under certain circumstances, multitasking and parallel processing may be advantageous. Likewise, while several specific implementation details are included in the above discussion, these should not be construed as limitations on the scope of the disclosure. Certain features that are described in the context of separate embodiments can also be implemented in combination in a single embodiment. Conversely, various features that are described in the context of a single embodiment can also be implemented in multiple embodiments separately or in any suitable subcombination. Although the subject matter has been described in language specific to structural features and/or methodological acts, it is to be understood that the subject matter defined in the appended claims is not necessarily limited to the specific features or acts described above. Rather, the specific features and acts described above are disclosed as example forms of implementing the claims.

Claims (17)

1. A method for determining search results, comprising:
responding to medical search content, and determining a first target search intention type corresponding to the medical search content;
determining an initial search result item matching the first target search intention type from search results corresponding to the medical search content;
generating a target search result item based on the initial search result item; and the target search result item comprises type adaptation content corresponding to the first target search intention type.
2. The method of claim 1, wherein the determining, in response to the medical search content, a first target search intent type to which the medical search content corresponds comprises:
inputting the medical search content into an intention type recognition model, and determining the first target search intention type based on an output result of the intention type recognition model;
the intention type recognition model is obtained by pre-training search samples corresponding to historical search contents.
3. The method of claim 2, wherein each of the search samples is constructed in advance by:
determining a second target search intention type corresponding to each historical search content based on historical behavior data corresponding to the search result of each historical search content;
determining search content characteristics corresponding to each second target search intention type based on the historical search content corresponding to each second target search intention type; wherein the search content features comprise at least one of a questioning mode, keywords and a search field;
and constructing each search sample based on each historical search content, the second target search intention type corresponding to the search content and the search content characteristics corresponding to the second target search intention type.
4. The method of claim 3, wherein the determining the second target search intention type corresponding to each of the historical search contents based on the historical behavior data corresponding to the search result of each of the historical search contents comprises:
for each historical search content, determining the interaction times of the search result items corresponding to each candidate search intention type in the historical behavior data and the total interaction times of the search result items corresponding to each candidate search intention type;
and for each historical search content, determining the proportion of the interaction times in the total interaction times, and determining the second target search intention type corresponding to the historical search content based on the proportion.
5. The method of claim 1, wherein, in the case that the first target search intent type is a picture type or a video type, the generating target search result items based on the initial search result items comprises:
extracting the type adaptation content corresponding to the first target search intention type from the initial search result item;
generating summary information based on the text content in the initial search result item;
and generating the target search result item based on the type adaptation content and the summary information.
6. The method of claim 1, wherein prior to said generating a target search result item based on the initial search result item, the method further comprises:
responding to the medical search content, and determining whether a medical event corresponding to the medical search content has a medical need;
and if so, determining a medical search result based on the medical search content.
7. The method of claim 6, wherein generating a target search result item based on the initial search result item comprises:
generating the target search result item based on the initial search result item and the hospitality search results.
8. The method of claim 7, wherein generating the target search result item based on the initial search result item and the hospitalized search results comprises:
determining operation guidance information based on the initial search result item; wherein the operation guide information comprises the type adaptation content and abstract information corresponding to the initial search result item;
determining hospitalization information based on the hospitalization search results; the medical information comprises at least one target hospital, at least one target doctor in the target hospital, at least one registration hospital and a registration mode corresponding to the registration hospital;
generating the target search result item based on the operation guide information and the hospitalization information.
9. A search result display method is characterized by comprising the following steps:
receiving medical search content;
displaying the target search result item within the search result page;
the target search result item comprises type adaptive content corresponding to a first target search intention type, the first target search intention type is a search intention type corresponding to the medical search content, the type adaptive content is obtained based on an initial search result item, and the initial search result item is a search result item which is matched with the first target search intention type in a search result corresponding to the medical search content.
10. The method of claim 9, wherein in the case that the first target search intent type is a picture type or a video type, the displaying a target search result item within a search result page comprises:
sequentially displaying the type adaptation content and the summary information in the target search result item in a set area of the search result page; wherein the summary information is generated based on textual content in the initial search result item.
11. The method of claim 9, wherein displaying the target search result item within the search result page comprises:
under the condition that a medical event corresponding to the medical search content has a medical seeking requirement, displaying operation guide information and medical seeking information in the target search result item in the search result page;
wherein the operation guide information comprises the type adaptation content and abstract information corresponding to the initial search result item; the hospitalizing information comprises at least one target hospital, at least one target doctor in the target hospital, at least one registration hospital and a registration mode corresponding to the registration hospital.
12. The method of claim 11, wherein prior to displaying the operation guidance information and hospitalization information in the target search result item in the search results page, the method further comprises:
and determining the display sequence of the operation guide information and the hospitalizing information based on the treatment mode of the medical event corresponding to the medical search content.
13. The method of claim 12, wherein displaying the operation guidance information and hospitalization information in the target search result item in the search results page comprises:
if the treatment mode is emergency treatment, sequentially displaying the operation guide information and the hospitalizing information in a set area of the search result page;
and if the treatment mode is medical treatment delivery, sequentially displaying the hospitalizing information and the operation guide information in the set area of the search result page.
14. A search result determination apparatus, comprising:
the first target search intention type determining module is used for responding to medical search contents and determining a first target search intention type corresponding to the medical search contents;
an initial search result item determining module, configured to determine an initial search result item matching the first target search intention type from search results corresponding to the medical search content;
a target search result item generation module for generating a target search result item based on the initial search result item; and the target search result item comprises type adaptation content corresponding to the first target search intention type.
15. A search result presentation apparatus, comprising:
the medical search content receiving module is used for receiving medical search content;
a target search result item display module for displaying a target search result item within the search result page;
the target search result item comprises type adaptive content corresponding to a first target search intention type, the first target search intention type is a search intention type corresponding to the medical search content, the type adaptive content is obtained based on an initial search result item, and the initial search result item is a search result item which is matched with the first target search intention type in a search result corresponding to the medical search content.
16. An electronic device, comprising:
a processor;
a memory for storing executable instructions;
wherein the processor is configured to read the executable instructions from the memory and execute the executable instructions to implement the search result determination method of any one of the preceding claims 1 to 8 or the search result presentation method of any one of the preceding claims 9 to 13.
17. A computer-readable storage medium, characterized in that the storage medium stores a computer program which, when executed by a processor, causes the processor to implement the search result determination method of any one of the above claims 1-8, or the search result presentation method of any one of the above claims 9-13.
CN202111434349.2A 2021-11-29 2021-11-29 Search result determining method, display method, device, equipment and medium Pending CN114065057A (en)

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