CN113190740A - Search processing method, search processing device, electronic device, storage medium, and program product - Google Patents
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Abstract
The application discloses a search processing method, a search processing device, electronic equipment, a storage medium and a program product, and relates to intelligent search in data processing. The specific implementation scheme is as follows: after the client is started, responding to the search operation triggered by the user at the client, wherein the search operation is used for searching the search keyword; acquiring user behavior information generated by searching and/or browsing at a client by a user within a preset time period; the preset time period refers to the time period from the starting of the client to the triggering of the search operation; generating a search request according to the user behavior information and the search keyword; and receiving and displaying the search result returned by the search server at the client. Therefore, the search keywords can be searched based on the user behavior information generated by the user at the client, the problem that the user searches and confirms the search keywords for multiple times when searching is carried out is solved, the search precision is improved, and the search flow is optimized.
Description
Technical Field
The present application relates to intelligent search in data processing, and in particular, to a search processing method, apparatus, electronic device, storage medium, and program product.
Background
With the development of internet technology, more and more users can learn about information of a specific target through search engines.
The user inputs the keywords to be searched, so that the search server utilizes the search engine to search the keywords, and the search result is displayed to the user through the client.
However, there is a phenomenon of ambiguous words in linguistic expressions, that is, there is a phenomenon that different linguistic meanings exist for the same word in different contexts or in different fields. However, the existing search processing method performs a special search process for such a phenomenon.
Disclosure of Invention
The application provides a search processing method, a search processing device, an electronic device, a storage medium and a program product for improving search precision and optimizing a search flow.
According to a first aspect of the present application, there is provided a search processing method including:
after the client is started, responding to the search operation triggered by the user at the client, wherein the search operation is used for searching for search keywords;
acquiring user behavior information generated by searching and/or browsing at a client by a user within a preset time period; the preset time period refers to a time period from the starting of the client to the triggering of the search operation;
generating a search request according to the user behavior information and the search keyword; the search request is used for searching the search keyword based on the user behavior information;
and receiving and displaying the search result returned by the search server at the client.
According to a second aspect of the present application, there is provided a search processing apparatus comprising:
the interactive display unit is used for responding to the search operation triggered by the user at the client after the client is started, and the search operation is used for searching the search keywords;
the user behavior information acquisition unit is used for acquiring user behavior information generated by searching and/or browsing a client by a user within a preset time period; the preset time period refers to a time period from the starting of the client to the triggering of the search operation;
the request generating unit is used for generating a search request according to the user behavior information and the search keyword; the search request is used for searching the search keyword based on the user behavior information;
and the interactive display unit is also used for receiving and displaying the search result returned by the search server at the client.
According to a third aspect of the present application, there is provided an electronic device comprising:
at least one processor; and
a memory communicatively coupled to the at least one processor; wherein the content of the first and second substances,
the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the method of the first aspect.
According to a fourth aspect of the present application, there is provided a non-transitory computer readable storage medium having stored thereon computer instructions for causing the computer to perform the method of the first aspect.
According to a fifth aspect of the present application, there is provided a computer program product comprising: a computer program, stored in a readable storage medium, from which at least one processor of an electronic device can read the computer program, execution of the computer program by the at least one processor causing the electronic device to perform the method of the first aspect.
According to the technology of the application, the technical problem that an accurate search result cannot be provided for a user in the existing process of searching the keywords with a plurality of semantics is solved.
It should be understood that the statements in this section do not necessarily identify key or critical features of the embodiments of the present application, nor do they limit the scope of the present application. Other features of the present application will become apparent from the following description.
Drawings
The drawings are included to provide a better understanding of the present solution and are not intended to limit the present application. Wherein:
FIG. 1 is a schematic diagram of a system architecture on which the present application is based;
FIG. 2 is a schematic flow chart diagram of a search processing method provided herein;
FIG. 3 is a schematic diagram of a first interface of a search processing method provided herein;
FIG. 4 is a second interface diagram of a search processing method provided herein;
fig. 5 is a schematic structural diagram of a search processing apparatus provided in the present application;
fig. 6 is a schematic structural diagram of an electronic device provided in the present application.
Detailed Description
The following description of the exemplary embodiments of the present application, taken in conjunction with the accompanying drawings, includes various details of the embodiments of the application for the understanding of the same, which are to be considered exemplary only. Accordingly, those of ordinary skill in the art will recognize that various changes and modifications of the embodiments described herein can be made without departing from the scope and spirit of the present application. Also, descriptions of well-known functions and constructions are omitted in the following description for clarity and conciseness.
In order to solve the problems that in the existing search processing process, accurate search cannot be performed on keywords with various meanings, so that the search process is complicated, and the search precision is low, the application discloses a search processing method, a search processing device, electronic equipment, a storage medium and a program product, and relates to intelligent search in data processing.
In the prior art, search processing generally includes acquiring a keyword to be searched input by a user through a client, then sending the keyword carried in a search request to a search server by the client, carrying out search processing on the keyword by the search server by using a search engine, and returning an obtained search result to the client, wherein at this time, the search result is displayed on the client for the user to check.
However, for some keywords with various semantics, the search results that can be returned to the user by the existing search processing are often not desired by the user.
For example:
for the keyword to be searched, which is "cloud", when a user inputs "cloud" as a keyword to a client for searching, the result presented by the client is generally "cloud", a natural phenomenon … … ", and web page information and picture information related to" cloud (natural phenomenon) ".
It is known that, in the field of computers, the "cloud" is also called cloud technology, which refers to a hosting technology for unifying a series of resources such as hardware, software, network, etc. in a wide area network or a local area network to realize the calculation, storage, processing and sharing of data. That is, when a user wishes to search for information related to "cloud (cloud technology)", the search result thereof often reflects information related to "cloud (natural phenomenon)".
In the face of such a situation, the user generally selects to re-input the search term, such as re-input "cloud, computer technology" or "cloud technology, computer" or the like, so as to re-perform the search until obtaining the search result required by the user;
in some other prior arts, the client terminal also initiates prompt information for confirming search appeal to the user in the case that the user is found to continuously input similar keywords, such as "ask for whether the search is cloud technology in the computer field? In case that the user selects 'yes', the client re-sends the search request to the search server to obtain the search result required by the user.
In any of the above search processing methods, there are problems of poor search accuracy and complicated search flow:
for a user, the user can not obtain the required information through one search operation;
for the search server, it needs to perform multiple search processes for the search request of the same user, and the effective utilization rate of the search resources is not high.
In view of the above-mentioned technical problems in the prior art, the inventor of the present application has found through research that a user often has a behavior of browsing or searching for some information before searching for a specific keyword by using a client, and through analysis of the user behaviors, the search intention of the user during the current search can be predicted to a certain extent, and a search result obtained based on the search performed based on the prediction is a search result that meets the search intention of the user, that is, the present application avoids a situation that a search server performs a search based on a keyword ambiguity when performing a search for the search keyword by searching for the search keyword based on user behavior information generated by the user at the client, and also solves a problem that the user performs a search confirmation many times when performing a search for the search keyword, the search precision is improved, and the search process is optimized.
Fig. 1 is a schematic diagram of a system architecture based on the present application, as shown in fig. 1, the system architecture based on the present application at least includes: a terminal device 1, a search server 2;
the terminal device 1 may specifically be a hardware device having a user interaction function and a network communication function, which includes but is not limited to a smart phone, a tablet computer, a desktop computer, and the like. The terminal device 1 may be installed with a client, and the client may be different types of clients, such as a web browser, an APP, and the like. In the client of the terminal device 1, the search processing device described in the present application is loaded, and the search processing device may be written in languages such as C/C + +, Java, Shell, Python, and the like.
The search server 2 may be a hardware server or a hardware carrier carrying a cloud server. Of course, due to the different product forms of the search processing devices on the terminal device 1, the search server 2 may be a hardware server integrated in other function servers or a hardware carrier carrying a cloud server, or may be an independent hardware server or a hardware carrier carrying a cloud server.
Through the network link, the terminal device 1 can get a communication link with the search server 2 and send a search request triggered by the user to the search server 2. The search server 2 will invoke a search engine or search processing logic hosted therein to process the search request. After obtaining the search result, the search server 2 returns the search result to the terminal device 1 through the network link for the user to view.
It should be noted that the search processing method, apparatus, electronic device, storage medium, and program product provided in the present application may be applied to various search scenarios:
the method can be applied to a webpage searching scene of a mobile phone or a computer, wherein a client in the processing method can be a webpage browser of the terminal equipment, the webpage browser can be integrated with the searching processing device provided by the method, and the keyword input by a user in a searching box of the network browser is searched and processed based on the searching processing method provided by the method.
The application can also be applied to an application APP with a search function, wherein a client in the processing method of the application can be the application APP installed on the terminal device, and the search processing device provided by the application can be integrated in the application APP:
in a scenario based on the application APP, the application APP may be a search service type APP with a search function as a main function of the application APP; but also other service class APPs with the search function as a secondary function of the application APP.
When the application APP is a search service type APP, the search processing device provided by the application executes the search processing method when the search service type APP is started and starts to provide search service for the user.
When the APP is another service APP, it may be specifically an online shopping platform APP, a video playing APP, a novel reading APP, or the like. The search processing device provided by the application starts when other service APP calls the search function of the search processing device and starts to execute the search processing method when the search processing device provides the search service for the user, and if the user searches a certain product on the online shopping platform APP, the search processing device provides the search processing service for the user based on the search processing method provided by the application.
For convenience of explaining the scheme, the client is taken as an example of a search service type APP in the present application, and for other scenarios, the processing method is similar, and the embodiments of the present application are not described again.
Embodiments of the present application will be described in detail below with reference to the accompanying drawings:
example one
Fig. 2 is a schematic flowchart of a search processing method provided in the present application, and as shown in fig. 2, the search processing method provided in this embodiment includes the following steps:
The execution subject of the embodiment of the present application is a search processing device, and the search processing device is to be carried in the terminal device.
Firstly, a user can start a client of a search service type APP by triggering an application identifier of the search service type APP on a terminal device. After the client is started, the client provides a search interface of the search service application for the user to operate and use.
Then, the user can trigger the search operation for the search keyword on the search interface of the client, and the search processing device monitors the current search operation triggered by the user on the client and executes the subsequent process.
Fig. 3 is a schematic view of a first interface of the search processing method provided by the present application, and as shown in fig. 3, a search box 301 is provided on the main application interface 300, so that a user can trigger the search box 301 to edit a search keyword. At this time, the user may input a search keyword in the search key box 301 and trigger the execution operation of the search 302 after completing the input, and by triggering the search box 301, editing of the search keyword and triggering of the search 302 constitute a search operation on the search keyword.
Of course, in other embodiments, the search operation may also adopt other operation combination modes, and the specific operation mode and operation configuration of the search operation are not limited in any way in the present application.
After the search processing device monitors that the user triggers the search operation at the client, the relevant records of the client are read to obtain the user behavior information. In the embodiment of the present application, the user behavior information specifically refers to information generated when a user performs a user behavior by using a client, where the user behavior specifically may be browsing, and/or searching, and the like.
In the present application, it is considered that a search is a very time-efficient behavior, and a user generally has behaviors of browsing information or searching for other information before triggering a search operation, so in the present embodiment, in order to improve search accuracy and ensure search timeliness, the user behavior information in the present embodiment is specifically generated within a preset time period by the user, that is, generated within a specific time period from the start of the client to the trigger of the search operation this time.
And the generation time of the user behavior is limited, so that the obtained retrieval result is a result related to the user behavior information generated by the user within the preset time period during the subsequent retrieval processing, and the result is more matched with the current search intention of the user.
After the user behavior information is obtained, in order to implement the search, a search request corresponding to the search operation of this time is generated based on the user behavior information and the search keyword in the search operation of this time. The search request is sent to the search server through a communication link between the client and the search server, so that the search server calls a search engine or search processing logic to process the search request.
It is known that the request composition of the search request is pre-negotiated by the search server and the client, i.e., the request composition of the search request will be able to be accurately read and processed by the search server. The negotiation process may adopt the prior art, which is not described in detail herein.
And step 204, receiving and displaying the search result returned by the search server at the client.
And finally, after the search server processes according to the search request and returns the processed search result to the client, the client displays the corresponding search result. The search result at this time is a result obtained by searching the search keyword based on the user behavior information, and meets the search intention of the user when the user triggers the search operation, namely, the search result of disambiguating the search keyword.
And the search result displayed by the client is a result obtained by searching the search keyword in the search range after the search server determines the search range according to the user behavior information.
Specifically, after receiving the search request, the search server may determine a search range based on the user behavior information in the search request, and if the user behavior information indicates that the user browses a large amount of knowledge in the computer domain before the search, the search server may determine that the search range of the search is the "computer domain", at this time, the search server searches for the search keyword based on the search range of the "computer domain", that is, the search result of this time shows information about the search keyword in the "computer domain".
By the method, the search result displayed by the client can be generated after the search server disambiguates the search keyword by using the user behavior information, waste of search resources caused by invalid search of the search server based on ambiguity of the search keyword is effectively avoided, the accuracy of the search result is improved, and the search experience of the user is improved.
For further explanation, fig. 4 is a second interface schematic diagram of a search processing method provided in the present application, and as shown in fig. 4, a search box 401, a search trigger 402 and a corresponding search result display area 403 are provided on the application main interface 400.
The search result display area 403 displays a search result obtained by the search server performing search processing based on a search request composed of the search keyword and the user behavior information in the search box 401, where the search result includes, but is not limited to, web page information, picture information, and the like. Different from the prior art, the search result is not only highly related to the search keyword, but also has a certain relevance to the user behavior information.
Referring to the left side of fig. 4, after the user inputs "cloud" in a search box 401 on the application main interface 400 and clicks a search trigger 402 for "start search", since the user browses a large number of web pages related to computer technology before triggering search, the search processing means generates a corresponding search request and transmits the search request to the search server.
Then, the search processing means will receive the search result, and as shown in the right side of fig. 4, on the basis of the search box 401 and the search trigger 402 displayed on the application main interface 400, will also display the search result 403. In fig. 4, the search result 403 includes "cloud technology-encyclopedia", "cloud technology-picture", "cloud technology-technical case" and "related search: such as cloud computing, cloud security, meaning of cloud technology, etc. It can be known that, due to the adoption of the search processing method provided by the application, the search result is related to the cloud in the computer technology, but not related to the cloud in the natural phenomenon.
Obviously, the search result provided by the search processing method provided by the application can better accord with the search intention of the user, the problem that the user inputs keywords for searching for many times due to the fact that the user cannot obtain the search result according with the intention of the user is solved, the utilization rate of search resources and the search accuracy are improved, and the search process is simplified.
According to the search processing method provided by the embodiment of the application, by utilizing the characteristic that the user behavior information of behaviors that a user often has to browse or search certain information before searching the specific keyword by the client is obtained, the corresponding search request is generated based on the user behavior information and the search keyword, so that the search result meeting the search intention of the user during the search is obtained, and compared with the processing flow that the user needs to search and confirm the search keyword for multiple times in the prior art, the search processing method provided by the embodiment of the application has the advantages that the search precision is higher, the search flow is simple, the search server can perform disambiguation search aiming at the search keyword during the search, and the search resource utilization rate of the server is improved.
On the basis of the first embodiment, in order to further improve the accuracy of the search result, the user behavior information includes at least one behavior content and a corresponding behavior time. Correspondingly, step 203 specifically includes:
step 2031, ranking the at least one behavior content based on the behavior time to obtain a behavior content sequence and a corresponding behavior time sequence;
step 2032, obtaining request header data of the search request according to the behavior content sequence, the corresponding behavior time sequence, and the search keyword;
step 2033, generating a search request according to the request header data.
In this embodiment, the user behavior information includes at least one behavior content and a corresponding behavior time. Specifically, in a preset time period and at different behavior times, a user triggers different behaviors at a client, and each behavior generates a behavior content. That is, when the processing device is acquiring the user behavior information, the user behavior information is composed of at least one behavior content and a corresponding behavior time.
For example, the user browses page a at time a, and at this time, the user behavior information includes behavior content as page a and time a; for another example, when the user has searched for the keyword B at time B, the user behavior information includes the search keyword B and time B.
Particularly, after at least one behavior content and corresponding behavior time are obtained, the behavior content needs to be sorted based on the behavior implementation, and the sorting mode may specifically be a countdown based on the behavior time, so as to obtain a behavior content sequence and a behavior time sequence. Still by way of example, if time B is earlier than time a, then the row content sequence is [ page a; search key B ], and the row time sequence is [ time a; time B ].
In addition, the two sequences will be put into the request header data, i.e. the header, of the search request, so that the search server needs to perform a corresponding search based on the two sequences in the header while performing a search on the search keyword.
Further, in the embodiment, especially when the user triggers a search operation on a certain search keyword, the user behavior close to the current trigger time of the search operation is considered, and the search intention of the user can be reflected better. That is, before triggering the search operation of this time, the user first searches for the keyword B, then browses the page a, and then triggers the search operation of this time for the keyword C. At this time, it is known that the search intention of the user for the keyword C may be related to both the page a and the keyword B, and the degree of the relation with the page a is much higher than that with the keyword B.
Based on the consideration, in the embodiment, by adopting a time-based reverse ordering manner, the user behavior information is carried into the request header of the search request in a sequential manner, so as to generate the corresponding search request based on the request header, when the search server executes the search processing, the search result is also correspondingly related to both the page a and the keyword B, and the degree of correlation between the search result and the page a is far higher than that between the search result and the keyword B, so that the accuracy of the search result is further improved, and the search result is more consistent with the real search intention of the user.
On the basis of the above embodiment, the user behavior information may be extracted from various records or information generated by the client, and in an alternative embodiment, the user behavior information may be obtained by searching records of the client.
Specifically, when the user behavior is obtained, the processing device may first obtain a search record generated when the user searches at the client within a preset time period, and then obtain the user behavior information according to the search record.
The search record refers to a record of a search keyword input by a user in a search box, and the search record includes search time and a corresponding search keyword. For example, "20210203-. By extracting the corresponding information in the search record, the searching device can obtain the user behavior information in the preset time period to form a behavior content sequence and a behavior time sequence.
In another optional implementation, the user behavior information may also be obtained based on a browsing page generated by the client, that is, when the processing device obtains the user behavior information generated by the user at the client within a preset time period, first, a browsing page generated by the user browsing the page at the client within the preset time period is obtained; and then, semantic extraction is carried out on the page content on the browsing page to obtain user behavior information.
For example, a user generates a browsing page related to "cloud storage encyclopedia" within a preset time period, semantic information such as "cloud, server, computer technology, distributed storage" and the like can be obtained by performing semantic extraction on the browsing page, and the semantic information and the browsing time of the browsing page constitute user behavior information and subsequently constitute a corresponding behavior content sequence and behavior time sequence.
In the embodiment, the mode of acquiring the search record and/or browsing the page from the client is adopted to obtain the user behavior information, so that the basis in prediction can be enriched, and the accuracy in prediction of the user search intention is improved.
In addition to the above embodiments, as described above, in the embodiments of the present application, the user behavior information refers to information generated in a time period from the start of the client to the trigger of the current search operation, but there is a possibility that the user does not generate any user behavior between the start of the client and the trigger of the current search operation, that is, the user performs the current search operation directly after the start of the client.
In this case, in order to avoid making a wrong prediction on the search intention of the user, in the present embodiment, the client receives and displays the general search result returned by the search server at the client; and the general search result is obtained by directly searching the search keyword by the search server.
Still taking the foregoing "cloud" as an example, when the user does not perform any browsing behavior or/and user behaviors such as a search behavior after the client is started, the search request is directly generated according to the search keyword "cloud", and at this time, the search server returns a search result related to "cloud (natural phenomenon)", so that the search result is provided for the user to view.
Through the implementation mode, the wrong prediction of the search intention of the user can be effectively avoided, and the search result is ensured to have higher accuracy under different conditions.
In addition to the above embodiments, in the present embodiment, the processing device may further acquire the basic information of the client start after the client starts, considering that the basic information of different clients may be associated with the search intention of the user to some extent. Then, when a search request is generated, the basic information may be carried in the search request.
Specifically, the basic information of the client includes at least one of the following information: location parameters, network parameters, device parameters, client parameters.
The location parameter refers to location-related information of the client based on the terminal device, such as a GPS coordinate, a longitude and latitude coordinate, map POI information, and the like. When the keyword search is carried out, when a user inputs similar contents such as 'culture center entrance position' and the like related to network parameters, the position parameters, such as 'a certain street in a certain district of a certain city', can be carried to a request field of the search request in the search request, so that the search server can carry out search processing based on the field contents, and accordingly, related search results such as 'the entrance position of the culture center near the certain street in the certain district of the certain city' and the like are obtained.
The network parameters refer to which network signals the client connects to the internet, such as 4G signals, local area networks, 5G signals, and the like. When keyword search is performed, when a user inputs similar contents related to network parameters, such as 'network signal is not good', and the like, basic information of '5G signal' currently used by a user client can be carried to a request content field of the search request in the search request, so that a search server can perform search processing based on the field content, and accordingly, a search result related to 'how to solve the problem of 5G signal is not good' or 'operation and maintenance telephone information of a 5G signal operator' and the like is obtained.
Similarly, the device parameters refer to information such as device type, device brand, device production time and the like of the terminal device based on which the client is based, and when the user inputs "mobile phone maintenance" equal to a keyword related to the device itself or the copy parameter during actual search, the processing device carries the related parameters of the device to a request content field of a search request, so that the search server performs search processing based on the content of the field and returns related search results such as "official maintenance telephone of a certain brand" and the like.
The client parameter refers to parameter information of the client itself, such as client version, client installation time, client type, and the like. In actual searching, when a user inputs keywords related to the client, such as "client card pause", and the like, the processing device carries related parameters of the equipment to a request content field of a search request, so that a search server performs search processing based on the field content, and returns related search results of "client update patch download address", and the like.
In the embodiment, the basic information started by the client is carried into the search request, so that the search intention of the user can be further effectively predicted, the condition that invalid search is carried out based on ambiguity of search keywords is avoided, and the accuracy of the search result is effectively improved.
Based on the above embodiments, in order to avoid that the search processing device occupies too many computing resources and storage resources of the terminal device, in the embodiments of the present application, for each time the user behavior information generated by the user at the client within the preset time period is obtained, the client only stores the user behavior information in the cache for use in processing.
Specifically, after the search request corresponding to the search request is generated each time, the user behavior information corresponding to the search operation of the time is no longer valid, that is, the timeliness is lost. Therefore, after the processing device determines that the search request corresponding to the current search operation has obtained the corresponding search result, the user behavior information cached in the cache region is released, so as to release the operation and storage resources of the terminal device for subsequent use.
According to the search processing method provided by the embodiment of the application, by utilizing the characteristic that the user behavior information of a behavior that a user often has browsing or searching certain information before searching the specific keyword at the client is obtained, the corresponding search request is generated based on the user behavior information and the search keyword, so that the search result meeting the search intention of the user during the search is obtained, and compared with the processing flow that the user needs to search and confirm the search keyword for multiple times in the prior art, the search processing method provided by the embodiment of the application has the advantages that the search precision is higher, the search flow is simple, and the utilization rate of search resources of a search server is improved.
Example two
Fig. 5 is a schematic structural diagram of a search processing apparatus provided in the present application. As shown in fig. 5, the search processing device 500 includes: an interactive display unit 510, a user behavior information acquisition unit 520, and a request generation unit 530;
the interactive display unit 510 is configured to respond to a search operation triggered by a user at a client after the client is started, where the search operation is used to search for a search keyword;
a user behavior information obtaining unit 520, configured to obtain user behavior information generated by a user searching and/or browsing at a client within a preset time period; the preset time period refers to a time period from the starting of the client to the triggering of the search operation;
a request generating unit 530, configured to generate a search request according to the user behavior information and the search keyword; the search request is used for searching the search keyword based on the user behavior information;
and the interactive display unit 510 is further configured to receive and display the search result returned by the search server at the client.
In an optional embodiment, the user behavior information includes at least one behavior content and a corresponding behavior time;
the request generating unit 530 includes:
the sequencing module is used for sequencing the at least one behavior content based on the behavior time to obtain a behavior content sequence and a corresponding behavior time sequence;
the first generation module is used for obtaining request header data of the search request according to the behavior content sequence, the corresponding behavior time sequence and the search keyword;
and the second generation module is used for generating a search request according to the request header data.
In an alternative embodiment, the user behavior information obtaining unit 520 includes:
the search record acquisition module is used for acquiring search records generated when a user performs search operation on the client within a preset time period;
and the third generation module is used for obtaining user behavior information according to the search record.
In an optional embodiment, the user behavior information obtaining unit 520 further includes:
the browsing page acquisition module is used for acquiring a browsing page generated by browsing a page at the client by a user within a preset time period;
and the fourth generation module is used for performing semantic extraction on the page content on the browsed page to obtain user behavior information.
In an alternative embodiment, if the user does not generate the user behavior information at the client within the preset time period, the interactive display unit 510 is further configured to: receiving and displaying a communication search result returned by the search server at the client; and the general search result is obtained by directly searching the search keyword by the search server.
In an optional embodiment, the apparatus further comprises: a basic information acquisition unit;
the basic information acquisition unit is used for acquiring basic information started by the client after the client is started;
the generating of the search request further comprises:
and the fifth generating module is used for carrying the basic information in the search request.
In an optional embodiment, the basic information includes at least one of the following information: location parameters, network parameters, device parameters, client parameters.
In an optional embodiment, the user behavior information obtaining unit 520 is further configured to empty the user behavior information within the preset time period after the interactive display unit 510 displays the search result returned by the search server.
In an optional embodiment, the search result displayed by the client is a result obtained by searching the search keyword in the search range after the search server determines the search range according to the user behavior information.
The search processing device provided by the embodiment of the application utilizes the characteristic that the user behavior information of a behavior that a user often has browsing or searching certain information before searching the specific keyword at the client side is obtained, generates a corresponding search request based on the user behavior information and the search keyword, and further obtains a search result meeting the search intention of the user during the search.
EXAMPLE III
According to an embodiment of the present application, an electronic device and a readable storage medium are also provided.
There is also provided, in accordance with an embodiment of the present application, a computer program product, including: a computer program, stored in a readable storage medium, from which at least one processor of the electronic device can read the computer program, the at least one processor executing the computer program causing the electronic device to perform the solution provided by any of the embodiments described above.
FIG. 6 is a schematic diagram of an electronic device provided herein, which is intended to represent various forms of digital computers, such as laptops, desktops, workstations, personal digital assistants, servers, blade servers, mainframes, and other suitable computers. The electronic device may also represent various forms of mobile devices, such as personal digital processing, cellular phones, smart phones, wearable devices, and other similar computing devices. The components shown herein, their connections and relationships, and their functions, are meant to be examples only, and are not meant to limit implementations of the present application that are described and/or claimed herein.
As shown in fig. 6, the electronic device 600 includes a computing unit 601, which can perform various appropriate actions and processes according to a computer program stored in a Read Only Memory (ROM)602 or a computer program loaded from a storage unit 608 into a Random Access Memory (RAM) 603. In the RAM 603, various programs and data required for the operation of the device 600 can also be stored. The calculation unit 601, the ROM 602, and the RAM 603 are connected to each other via a bus 604. An input/output (I/O) interface 605 is also connected to bus 604.
A number of components in the device 600 are connected to the I/O interface 605, including: an input unit 606 such as a keyboard, a mouse, or the like; an output unit 607 such as various types of displays, speakers, and the like; a storage unit 608, such as a magnetic disk, optical disk, or the like; and a communication unit 609 such as a network card, modem, wireless communication transceiver, etc. The communication unit 609 allows the device 600 to exchange information/data with other devices via a computer network such as the internet and/or various telecommunication networks.
The computing unit 601 may be a variety of general and/or special purpose processing components having processing and computing capabilities. Some examples of the computing unit 601 include, but are not limited to, a Central Processing Unit (CPU), a Graphics Processing Unit (GPU), various dedicated Artificial Intelligence (AI) computing chips, various computing units running machine learning model algorithms, a Digital Signal Processor (DSP), and any suitable processor, controller, microcontroller, and so forth. The calculation unit 601 executes the respective methods and processes described above, such as the search processing method. For example, in some embodiments, the search processing method may be implemented as a computer software program tangibly embodied in a machine-readable medium, such as storage unit 608. In some embodiments, part or all of the computer program may be loaded and/or installed onto the device 600 via the ROM 602 and/or the communication unit 609. When the computer program is loaded into the RAM 603 and executed by the computing unit 601, one or more steps of the search processing method described above may be performed. Alternatively, in other embodiments, the computing unit 601 may be configured to perform the search processing method in any other suitable manner (e.g., by means of firmware).
Various implementations of the systems and techniques described here above may be implemented in digital electronic circuitry, integrated circuitry, Field Programmable Gate Arrays (FPGAs), Application Specific Integrated Circuits (ASICs), Application Specific Standard Products (ASSPs), system on a chip (SOCs), load programmable logic devices (CPLDs), computer hardware, firmware, software, and/or combinations thereof. These various embodiments may include: implemented in one or more computer programs that are executable and/or interpretable on a programmable system including at least one programmable processor, which may be special or general purpose, receiving data and instructions from, and transmitting data and instructions to, a storage system, at least one input device, and at least one output device.
Program code for implementing the methods of the present application may be written in any combination of one or more programming languages. These program codes may be provided to a processor or controller of a general purpose computer, special purpose computer, or other programmable data processing apparatus, such that the program codes, when executed by the processor or controller, cause the functions/operations specified in the flowchart and/or block diagram to be performed. The program code may execute entirely on the machine, partly on the machine, as a stand-alone software package partly on the machine and partly on a remote machine or entirely on the remote machine or server.
In the context of this application, 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.
To provide for interaction with a user, the systems and techniques described here can be implemented on a computer having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to a user; and a keyboard and a pointing device (e.g., a mouse or a trackball) by which a user can provide input to the computer. Other kinds of devices may also be used to provide for interaction with a user; for example, feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form, including acoustic, speech, or tactile input.
The systems and techniques described here can be implemented in a computing system that includes a back-end component (e.g., as a data server), or that includes a middleware component (e.g., an application server), or that includes a front-end component (e.g., a user computer having a graphical user interface or a web browser through which a user can interact with an implementation of the systems and techniques described here), or any combination of such back-end, middleware, or front-end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: local Area Networks (LANs), Wide Area Networks (WANs), and the Internet.
The computer system may include clients and servers. A client and server are generally remote from each other and typically interact through a communication network. The relationship of client and server arises by virtue of computer programs running on the respective computers and having a client-server relationship to each other. The Server can be a cloud Server, also called a cloud computing Server or a cloud host, and is a host product in a cloud computing service system, so as to solve the defects of high management difficulty and weak service expansibility in the traditional physical host and VPS service ("Virtual Private Server", or simply "VPS"). The server may also be a server of a distributed system, or a server incorporating a blockchain.
It should be understood that various forms of the flows shown above may be used, with steps reordered, added, or deleted. For example, the steps described in the present application may be executed in parallel, sequentially, or in different orders, and the present invention is not limited thereto as long as the desired results of the technical solutions disclosed in the present application can be achieved.
The above-described embodiments should not be construed as limiting the scope of the present application. It should be understood by those skilled in the art that various modifications, combinations, sub-combinations and substitutions may be made in accordance with design requirements and other factors. Any modification, equivalent replacement, and improvement made within the spirit and principle of the present application shall be included in the protection scope of the present application.
Claims (19)
1. A search processing method, comprising:
after the client is started, responding to the search operation triggered by the user at the client, wherein the search operation is used for searching for search keywords;
acquiring user behavior information generated by searching and/or browsing at a client by a user within a preset time period; the preset time period refers to a time period from the starting of the client to the triggering of the search operation;
generating a search request according to the user behavior information and the search keyword; the search request is used for searching the search keyword based on the user behavior information;
and receiving and displaying the search result returned by the search server at the client.
2. The method of claim 1, wherein the user behavior information includes at least one behavior content and a corresponding behavior time;
generating a search request according to the user behavior information and the search keyword, wherein the search request comprises:
arranging the at least one behavior content based on the behavior time to obtain a behavior content sequence and a corresponding behavior time sequence;
obtaining request header data of the search request according to the behavior content sequence, the corresponding behavior time sequence and the search keyword;
and generating a search request according to the request header data.
3. The method according to claim 1 or 2, wherein the obtaining of the user behavior information generated by the user at the client within the preset time period comprises:
acquiring a search record generated when a user searches at the client within a preset time period;
and obtaining user behavior information according to the search record.
4. The method according to any one of claims 1 to 3, wherein the obtaining of the user behavior information generated by the user at the client within the preset time period further comprises:
acquiring a browsing page generated by browsing a page at the client by a user within a preset time period;
and performing semantic extraction on the page content on the browsing page to obtain user behavior information.
5. The method according to any one of claims 1-4, wherein if the user does not generate user behavior information at the client within a preset time period, the method further comprises:
receiving and displaying a communication search result returned by the search server at the client;
and the general search result is obtained by directly searching the search keyword by the search server.
6. The method according to any one of claims 1-5, wherein after the client is started, further comprising:
acquiring basic information started by a client;
correspondingly, the generating a search request further includes:
and carrying the basic information in the search request.
7. The method of claim 6, wherein the base information comprises at least one of: location parameters, network parameters, device parameters, client parameters.
8. The method according to any one of claims 1 to 7, wherein the search result presented by the client is a result obtained by searching the search keyword in the search scope after the search server determines the search scope according to the user behavior information.
9. A search processing apparatus comprising:
the interactive display unit is used for responding to the search operation triggered by the user at the client after the client is started, and the search operation is used for searching the search keywords;
the user behavior information acquisition unit is used for acquiring user behavior information generated by searching and/or browsing a client by a user within a preset time period; the preset time period refers to a time period from the starting of the client to the triggering of the search operation;
the request generating unit is used for generating a search request according to the user behavior information and the search keyword; the search request is used for searching the search keyword based on the user behavior information;
and the interactive display unit is also used for receiving and displaying the search result returned by the search server at the client.
10. The apparatus of claim 9, wherein the user behavior information comprises at least one behavior content and a corresponding behavior time;
the request generation unit includes:
the sequencing module is used for sequencing the at least one behavior content based on the behavior time to obtain a behavior content sequence and a corresponding behavior time sequence;
the first generation module is used for obtaining request header data of the search request according to the behavior content sequence, the corresponding behavior time sequence and the search keyword;
and the second generation module is used for generating a search request according to the request header data.
11. The apparatus according to claim 9 or 10, wherein the user behavior information acquiring unit includes:
the search record acquisition module is used for acquiring search records generated when a user searches at the client within a preset time period;
and the third generation module is used for obtaining user behavior information according to the search record.
12. The apparatus according to any one of claims 9 to 11, wherein the user behavior information acquiring unit further includes:
the browsing page acquisition module is used for acquiring a browsing page generated by browsing a page at the client by a user within a preset time period;
and the fourth generation module is used for performing semantic extraction on the page content on the browsed page to obtain user behavior information.
13. The apparatus according to any one of claims 9-12, wherein if the user does not generate user behavior information at the client within a preset time period, the interactive display unit is further configured to: receiving and displaying a communication search result returned by the search server at the client; and the general search result is obtained by directly searching the search keyword by the search server.
14. The apparatus of any of claims 9-13, further comprising: a basic information acquisition unit;
the basic information acquisition unit is used for acquiring basic information started by the client after the client is started;
the generating of the search request further comprises:
and the fifth generating module is used for carrying the basic information in the search request.
15. The apparatus of claim 14, wherein the base information comprises at least one of: location parameters, network parameters, device parameters, client parameters.
16. The apparatus according to any one of claims 9 to 15, wherein the search result presented by the client is a result obtained by searching the search keyword in the search scope after the search server determines the search scope according to the user behavior information.
17. An electronic device, comprising:
at least one processor; and
a memory communicatively coupled to the at least one processor; wherein the content of the first and second substances,
the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the method of any one of claims 1-8.
18. A non-transitory computer readable storage medium having stored thereon computer instructions for causing the computer to perform the method of any one of claims 1-8.
19. A computer program product comprising a computer program which, when executed by a processor, implements the method according to any one of claims 1-8.
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