CN113282830A - Display method and display device - Google Patents
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Abstract
The application discloses a display method and a display device, which belong to the technical field of computers, and the method comprises the following steps: performing global retrieval according to the query words, wherein the global retrieval comprises local retrieval and networking retrieval; acquiring a first retrieval result, wherein the first retrieval result is the retrieval result of the local retrieval; and displaying the first retrieval result or a second retrieval result based on the query word and the first retrieval result, wherein the second retrieval result is the retrieval result of the networked retrieval.
Description
Technical Field
The application belongs to the technical field of computers, and particularly relates to a display method and a display device.
Background
With the development of computer technology, users have higher and higher requirements for convenience of data retrieval. Currently, when a user performs global retrieval at a mobile terminal, the mobile terminal returns local retrieval results (short messages, contacts, files, etc.) and networking retrieval results (encyclopedias, videos, novels, etc.). However, when the retrieval result is displayed on the screen at present, it is not clear whether the user clicks the intention locally or is networked, which greatly affects the user experience, and the networked retrieval result is influenced by the data volume and the network to return data slower than the local result, which also affects the user experience that the retrieval intention is the local result.
For the phenomenon, a processing scheme is given by part of applications, but the given processing scheme still cannot meet the requirement that when the retrieval intention is a networking or local result, a corresponding networking or local retrieval related result is preferentially displayed, so that the user needs to switch or take extra time to wait for the result after clicking a query word each time, or complicated operations such as displaying failure to meet expectations and the like are performed.
Disclosure of Invention
The embodiment of the application aims to provide a display method and a display device, which can solve the problem that a mobile terminal cannot preferentially display a local search result or a network search result according to a user search intention when a user carries out global search.
In a first aspect, an embodiment of the present application provides a display method, where the method includes: performing global retrieval according to the query words, wherein the global retrieval comprises local retrieval and networking retrieval; acquiring a first retrieval result, wherein the first retrieval result is the retrieval result of the local retrieval; and displaying the first retrieval result or a second retrieval result based on the query word and the first retrieval result, wherein the second retrieval result is the retrieval result of the networked retrieval.
In a second aspect, an embodiment of the present application provides a device for displaying search results, where the device includes a search module, configured to perform global search according to a query term, where the global search includes local search and networked search; the acquisition module is used for acquiring a first retrieval result, wherein the first retrieval result is the retrieval result of the local retrieval; and the display module is used for displaying the first retrieval result or the second retrieval result based on the query word and the first retrieval result, wherein the second retrieval result is the retrieval result of the networked retrieval.
In a third aspect, an embodiment of the present application provides a terminal device, where the electronic device includes a processor, a memory, and a program or instructions stored on the memory and executable on the processor, and the program or instructions, when executed by the processor, implement the steps of the method according to the first aspect.
In a fourth aspect, embodiments of the present application provide a readable storage medium, on which a program or instructions are stored, which when executed by a processor implement the steps of the method according to the first aspect.
In a fifth aspect, an embodiment of the present application provides a chip, where the chip includes a processor and a communication interface, where the communication interface is coupled to the processor, and the processor is configured to execute a program or instructions to implement the method according to the first aspect.
In the embodiment of the application, global retrieval is carried out according to the query word, a first retrieval result, namely a retrieval result of local retrieval, is obtained, and then the first retrieval result or a second retrieval result is displayed based on the query word and the first retrieval result, wherein the second retrieval result is the retrieval result of networked retrieval, so that when a user carries out global retrieval, the retrieval result of local retrieval or networked retrieval can be preferentially displayed, the operation is more convenient, and the user experience is improved.
Drawings
Fig. 1 is a schematic flow chart of a display method provided in an embodiment of the present application;
FIG. 2 is another schematic flow chart diagram of a display method provided in an embodiment of the present application;
FIG. 3 is a schematic structural diagram of a display device provided in an embodiment of the present application;
fig. 4 is a schematic structural diagram of a terminal device provided in an embodiment of the present application;
fig. 5 is a schematic diagram of a hardware structure of a terminal device according to an embodiment of the present application.
Detailed Description
The technical solutions in the embodiments of the present application will be described clearly below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are some, but not all, embodiments of the present application. All other embodiments that can be derived by one of ordinary skill in the art from the embodiments given herein are intended to be within the scope of the present disclosure.
The terms first, second and the like in the description and in the claims of the present application are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It will be appreciated that the data so used may be interchanged under appropriate circumstances such that embodiments of the application may be practiced in sequences other than those illustrated or described herein, and that the terms "first," "second," and the like are generally used herein in a generic sense and do not limit the number of terms, e.g., the first term can be one or more than one. In addition, "and/or" in the specification and claims means at least one of connected objects, a character "/" generally means that a preceding and succeeding related objects are in an "or" relationship.
The display method provided by the embodiment of the present application is described in detail below with reference to the accompanying drawings through specific embodiments and application scenarios thereof.
Fig. 1 shows a flowchart of a presentation method provided in an embodiment of the present application, where the method 100 may be executed by a terminal device. In other words, the method may be performed by software or hardware installed in the terminal device, as shown in fig. 1, and may include the following steps.
S110: and carrying out global retrieval according to the query words.
Wherein the global retrieval comprises local retrieval and networked retrieval. In specific application, when global retrieval is carried out, a user inputs a query word in a retrieval frame of the terminal device, and after a retrieval button is clicked, the terminal device simultaneously executes local retrieval and networked retrieval according to the query word.
In one possible implementation, performing global search according to the query term may include: under the condition that the character length of the query word is larger than a first threshold value, segmenting the query word according to characters; and performing the global retrieval based on each word after segmentation. For example, the query word is 'mobile phone panning', the character length of which is greater than a first threshold value, the 'mobile phone panning' is segmented to obtain two words of 'mobile phone' and 'panning', and then global retrieval is performed according to the 'mobile phone' and the 'panning'.
S120: and acquiring a first retrieval result.
The first retrieval result is the retrieval result of the local retrieval. In a specific application, since the local retrieval is to obtain the result in the local vertical category (such as a file, a contact, a short message, an application, and the like), the terminal device can preferentially obtain the first retrieval result which is the retrieval result of the local retrieval. In this step, when the terminal device performs global retrieval and returns a retrieval result in local retrieval, the terminal device preferentially obtains the retrieval result of the local retrieval without waiting for the networked retrieval to return the retrieval result.
S130: and displaying the first retrieval result or the second retrieval result based on the query word and the first retrieval result.
And the second retrieval result is the retrieval result of the networking retrieval. In the method and the device, whether the first retrieval result or the second retrieval result is displayed to the user can be determined according to the query word input by the user and the retrieval result returned by the local retrieval, namely the first retrieval result.
In one possible implementation, presenting the first search result or the second search result based on the query term and the first search result may include: predicting a user retrieval intention based on the query word and the first retrieval result; and displaying the first retrieval result under the condition that the user retrieval intention is the local retrieval, and acquiring the second retrieval result and displaying the second retrieval result under the condition that the user retrieval intention is the networked retrieval.
Specifically, when the user retrieval intention is predicted to be local retrieval, the networking retrieval which is still carried out is ended, the retrieval result of the local retrieval is displayed to the user, and the user screens data information required by the user according to the returned result; when the user search intention is predicted, the on-line search is continued, the search result of the on-line search is displayed to the user, and then the user screens the information according to the returned result to screen out the required information. When the user retrieval intention is local retrieval, unnecessary networking retrieval can be reduced through the implementation mode, so that the retrieval time is reduced, and the efficiency of displaying the retrieval result is improved.
In one possible implementation, predicting the user retrieval intention based on the query term and the first retrieval result may include: determining a first feature vector for characterizing the query term; determining a second feature vector for characterizing the first retrieval result; and predicting the user retrieval intention according to the first feature vector and the second feature vector.
In a specific application, a Term Frequency-Inverse Document Frequency (TF-IDF) algorithm may be used to characterize a first feature vector of a query Term, for example: [0.1,0,0.2,0,0].
Since the character length of the query term may be greater than the first threshold, in a specific implementation, determining the first feature vector for characterizing the query term may include: and under the condition that the character length of the query word is greater than a first threshold value, determining a first feature vector for characterizing each segmented word. For example, the query word is "pan by mobile phone", and after segmentation, the query word is "mobile phone" and "pan by mobile phone", and a first feature vector for characterizing the two words of "mobile phone" and "pan by mobile phone" is determined.
In one possible implementation manner, determining a second feature vector for characterizing the first retrieval result may include: and determining the second feature vector according to whether the query word appears in the local vertical class. Wherein the local verticals may include: files, contacts, short messages, applications, etc. For example, the second feature vector of the first search result may be [0,1,0,1], where a first value 0 may indicate that no query word appears in the file, a second value 1 may indicate that a query word appears in the contact, a third value 0 may indicate that no query word appears in the short message, and a fourth value 1 may indicate that a query word appears in the application.
In one possible implementation, predicting the user retrieval intention according to the first feature vector and the second feature vector may include: acquiring a retrieval intention probability value based on the first feature vector and the second feature vector; and predicting the user retrieval intention as the local retrieval if the retrieval intention probability value is larger than a second threshold, and predicting the user retrieval intention as the networking retrieval if the retrieval intention probability value is smaller than a second threshold.
In a specific application, the first feature vector and the second feature vector can be used as input information to be input into an algorithm model, and a retrieval intention probability value is obtained. The algorithm model can be a Logistic Regression (LR) algorithm model, a first feature vector and a second feature vector are input into a trained LR algorithm model as input information, the LR algorithm model processes the first feature vector and the second feature vector, a Sigmoid activation function outputs a retrieval intention probability value, and the formula is as follows:
the calculation result range of the probability value P is (0-1), and when the probability value P is larger than a second threshold value, the user retrieval intention is predicted to be local retrieval; predicting the user retrieval intent as a networked retrieval when the probability value P is less than or equal to a second threshold. In the embodiment of the application, the closer the probability value P is to 1, the higher the possibility that the user intends to perform local retrieval is indicated, and the closer the probability value P is to 0, the higher the possibility that the user intends to perform networked retrieval is indicated.
In a specific application, the algorithm model is a trained algorithm model, and before the algorithm model is used, the algorithm model may be trained by using sample data, where the sample data may include a feature vector corresponding to a sample query word, a feature vector corresponding to a local retrieval result of the sample query word, and a probability value of a user retrieval intention corresponding to the sample query word, the feature vector corresponding to the sample query word and the feature vector corresponding to the local retrieval result of the sample query word are used as inputs of the algorithm model, and the probability value of the user retrieval intention corresponding to the sample query word is used as an output of the algorithm model, so as to train the algorithm model.
Fig. 2 is another schematic flow chart of the presentation method according to the embodiment of the present application, and as shown in fig. 2, first, in response to an input of a user, a global search is started, a query word input by the user is obtained, in response to the input of the user, a local search and a networked search are started at the same time, the local search preferentially returns a search result, then it is predicted whether a user search intention is the local search, if the user search is the local search, the search is ended, the search result of the local search is presented to the user, if the user search is not the local search but the networked search, the search result of the local search is temporarily stored, the networked search is waited to return the search result, finally, all the returned results are presented together, and the search result of the networked search is presented in front.
According to the method provided by the embodiment of the application, when the global retrieval is carried out, the user retrieval intention is predicted in advance according to the query word and the first retrieval result, so that when the user retrieval intention is local retrieval, the retrieval result of the local retrieval is preferentially displayed, the retrieval result does not need to be returned after the networking retrieval is finished, and the retrieval time is saved. And when the user retrieval intention is predicted to be the online retrieval, continuing the ongoing online retrieval, and displaying the retrieval result of the online retrieval after the retrieval is finished. Therefore, compared with the prior art, the display method of the retrieval result is more convenient to operate and better in user experience.
It should be noted that, in the method for displaying a search result provided in the embodiment of the present application, the execution subject may be a display device of a search result, or a control module in the display device of the search result, which is used for executing the method for displaying a search result. In the embodiment of the present application, a method for displaying search results performed by a display device of search results is taken as an example, and the display device of search results provided in the embodiment of the present application is described.
Fig. 3 is a schematic structural diagram of a display device according to an embodiment of the present disclosure. As shown in fig. 3, display apparatus 300 includes: a retrieval module 310, an acquisition module 320, and a presentation module 330.
The retrieval module 310 is configured to perform global retrieval according to the query term, where the global retrieval includes local retrieval and networked retrieval;
an obtaining module 320, configured to obtain a first retrieval result, where the first retrieval result is a retrieval result of the local retrieval;
a display module 330, configured to display the first search result or the second search result based on the query term and the first search result, where the second search result is a search result of the networked search.
In one implementation, the presenting module 330 presents the first search result or the second search result based on the query term and the first search result, including: predicting a user retrieval intention based on the query word and the first retrieval result; and displaying the first retrieval result under the condition that the user retrieval intention is the local retrieval, and acquiring the second retrieval result and displaying the second retrieval result under the condition that the user retrieval intention is the networked retrieval.
In one implementation, the global search by the search module 310 according to the query term includes: under the condition that the character length of the query word is larger than a first threshold value, segmenting the query word according to characters; and performing the global retrieval based on each word after segmentation.
In one implementation, the presentation module 330 predicting the user retrieval intention based on the query term and the first retrieval result includes: determining a first feature vector for characterizing the query term; determining a second feature vector for characterizing the first retrieval result; and predicting the user retrieval intention according to the first feature vector and the second feature vector.
In one implementation, the presentation module 330 determining a second feature vector for characterizing the first search result includes: and determining the second feature vector according to whether the query word appears in a local vertical class, wherein the local vertical class comprises files, contacts, short messages and applications.
In one implementation, the presentation module 330 predicting the user retrieval intent from the first feature vector and the second feature vector comprises: acquiring a retrieval intention probability value based on the first feature vector and the second feature vector; and predicting the user retrieval intention as the local retrieval if the obtained retrieval intention probability value is larger than a second threshold, and predicting the user retrieval intention as the networking retrieval if the obtained retrieval intention probability value is smaller than the second threshold.
In the display apparatus 300 provided in this embodiment of the application, the retrieval module 310 performs global retrieval according to the query term, the obtaining module 320 obtains a first retrieval result, and the display module 330 displays the first retrieval result or the second retrieval result based on the query term and the first retrieval result. Therefore, when the user carries out global retrieval, the operation is more convenient and faster, and the experience is better.
The display device in the embodiment of the present application may be a device, or may be a component, an integrated circuit, or a chip in a terminal. The device can be mobile terminal equipment or non-mobile terminal equipment. By way of example, the mobile electronic device may be a mobile phone, a tablet computer, a notebook computer, a palm top computer, a vehicle-mounted electronic device, a wearable device, an ultra-mobile personal computer (UMPC), a netbook or a Personal Digital Assistant (PDA), and the like, and the non-mobile electronic device may be a server, a Network Attached Storage (NAS), a Personal Computer (PC), a Television (TV), a teller machine or a self-service machine, and the like, and the embodiments of the present application are not particularly limited.
The presentation device in the embodiment of the present application may be a device having an operating system. The operating system may be an Android (Android) operating system, an ios operating system, or other possible operating systems, and embodiments of the present application are not limited specifically.
The display device provided in the embodiment of the present application can implement each process implemented by the method embodiments of fig. 1 to fig. 2, and is not described here again to avoid repetition.
Optionally, as shown in fig. 4, an embodiment of the present application further provides a terminal device 400, which includes a processor 401, a memory 402, and a program or an instruction stored in the memory 402 and executable on the processor 401, where the program or the instruction is executed by the processor 401 to implement each process of the foregoing embodiment of the display method, and can achieve the same technical effect, and no further description is provided here to avoid repetition.
It should be noted that the terminal device in the embodiment of the present application includes the mobile terminal device and the non-mobile terminal device described above.
Fig. 5 is a schematic diagram of a hardware structure of a terminal device for implementing the embodiment of the present application.
The terminal device 500 includes but is not limited to: a radio frequency unit 501, a network module 502, an audio output unit 503, an input unit 504, a sensor 505, a display unit 506, a user input unit 507, an interface unit 508, a memory 509, a processor 510, and the like.
Those skilled in the art will appreciate that the terminal device 500 may further include a power supply (e.g., a battery) for supplying power to various components, and the power supply may be logically connected to the processor 510 via a power management system, so as to implement functions of managing charging, discharging, and power consumption via the power management system. The terminal device structure shown in fig. 5 does not constitute a limitation of the terminal device, and the terminal device may include more or less components than those shown, or combine some components, or arrange different components, and thus, the description is omitted here.
It should be understood that in the embodiment of the present application, the input Unit 504 may include a Graphics Processing Unit (GPU) 5041 and a microphone 5042, and the Graphics processor 5041 processes image data of still pictures or videos obtained by an image capturing device (such as a camera) in a video capturing mode or an image capturing mode. The display unit 506 may include a display panel 5061, and the display panel 5061 may be configured in the form of a liquid crystal display, an organic light emitting diode, or the like. The user input unit 507 includes a touch panel 5071 and other input devices 5072. A touch panel 5071, also referred to as a touch screen. The touch panel 5071 may include two parts of a touch detection device and a touch controller. Other input devices 5072 may include, but are not limited to, a physical keyboard, function keys (e.g., volume control keys, switch keys, etc.), a trackball, a mouse, and a joystick, which are not described in further detail herein. The memory 509 may be used to store software programs as well as various data including, but not limited to, application programs and operating systems. Processor 510 may integrate an application processor, which primarily handles operating systems, user interfaces, applications, etc., and a modem processor, which primarily handles wireless communications. It will be appreciated that the modem processor described above may not be integrated into processor 510.
The embodiment of the present application further provides a readable storage medium, where a program or an instruction is stored on the readable storage medium, and when the program or the instruction is executed by a processor, the program or the instruction implements the processes of the above-mentioned embodiment of the display method, and can achieve the same technical effect, and in order to avoid repetition, details are not repeated here.
The processor is the processor in the terminal device described in the above embodiment. The readable storage medium includes a computer readable storage medium, such as a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and so on.
The embodiment of the present application further provides a chip, where the chip includes a processor and a communication interface, the communication interface is coupled to the processor, and the processor is configured to run a program or an instruction to implement each process of the above-mentioned display method embodiment, and can achieve the same technical effect, and is not described here again to avoid repetition.
It should be understood that the chips mentioned in the embodiments of the present application may also be referred to as system-on-chip, system-on-chip or system-on-chip, etc.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element. Further, it should be noted that the scope of the methods and apparatus of the embodiments of the present application is not limited to performing the functions in the order illustrated or discussed, but may include performing the functions in a substantially simultaneous manner or in a reverse order based on the functions involved, e.g., the methods described may be performed in an order different than that described, and various steps may be added, omitted, or combined. In addition, features described with reference to certain examples may be combined in other examples.
Through the above description of the embodiments, those skilled in the art will clearly understand that the method of the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but in many cases, the former is a better implementation manner. Based on such understanding, the technical solutions of the present application may be embodied in the form of a computer software product, which is stored in a storage medium (such as ROM/RAM, magnetic disk, optical disk) and includes instructions for enabling a terminal (such as a mobile phone, a computer, a server, or a network device) to execute the method according to the embodiments of the present application.
While the present embodiments have been described with reference to the accompanying drawings, it is to be understood that the invention is not limited to the precise embodiments described above, which are meant to be illustrative and not restrictive, and that various changes may be made therein by those skilled in the art without departing from the spirit and scope of the invention as defined by the appended claims.
Claims (14)
1. A method of displaying, comprising:
performing global retrieval according to the query words, wherein the global retrieval comprises local retrieval and networking retrieval;
acquiring a first retrieval result, wherein the first retrieval result is the retrieval result of the local retrieval;
and displaying the first retrieval result or a second retrieval result based on the query word and the first retrieval result, wherein the second retrieval result is the retrieval result of the networked retrieval.
2. The method of claim 1, wherein the presenting the first search result or the second search result based on the query term and the first search result comprises:
predicting a user retrieval intention based on the query word and the first retrieval result;
and displaying the first retrieval result under the condition that the user retrieval intention is the local retrieval, and acquiring the second retrieval result and displaying the second retrieval result under the condition that the user retrieval intention is the networked retrieval.
3. The method of claim 1, wherein the global search according to the query term comprises:
under the condition that the character length of the query word is larger than a first threshold value, segmenting the query word according to characters;
and performing the global retrieval based on each word after segmentation.
4. The method of claim 2, wherein predicting a user search intent based on the query term and the first search result comprises:
determining a first feature vector for characterizing the query term;
determining a second feature vector for characterizing the first retrieval result;
and predicting the user retrieval intention according to the first feature vector and the second feature vector.
5. The method of claim 4, wherein the determining a second feature vector for characterizing the first search result comprises:
and determining the second feature vector according to whether the query word appears in a local vertical class, wherein the local vertical class comprises files, contacts, short messages and applications.
6. The method of claim 4, wherein predicting the user retrieval intent based on the first feature vector and the second feature vector comprises:
acquiring a retrieval intention probability value based on the first feature vector and the second feature vector;
and predicting the user retrieval intention as the local retrieval if the retrieval intention probability value is larger than a second threshold, and predicting the user retrieval intention as the networking retrieval if the retrieval intention probability value is smaller than a second threshold.
7. A display device, comprising:
the retrieval module is used for carrying out global retrieval according to the query words, wherein the global retrieval comprises local retrieval and networking retrieval;
the acquisition module is used for acquiring a first retrieval result, wherein the first retrieval result is the retrieval result of the local retrieval;
and the display module is used for displaying the first retrieval result or the second retrieval result based on the query word and the first retrieval result, wherein the second retrieval result is the retrieval result of the networked retrieval.
8. The apparatus of claim 7, wherein the display module is configured to present the first search result or the second search result based on the query term and the first search result comprises:
predicting a user retrieval intention based on the query word and the first retrieval result;
and displaying the first retrieval result under the condition that the user retrieval intention is the local retrieval, and acquiring the second retrieval result and displaying the second retrieval result under the condition that the user retrieval intention is the networked retrieval.
9. The apparatus of claim 7, wherein the search module performs global search according to the query term, comprising:
under the condition that the character length of the query word is larger than a first threshold value, segmenting the query word according to characters;
and performing the global retrieval based on each word after segmentation.
10. The apparatus of claim 8, wherein the presentation module predicts a user search intention based on the query term and the first search result comprises:
determining a first feature vector for characterizing the query term;
determining a second feature vector for characterizing the first retrieval result;
and predicting the user retrieval intention according to the first feature vector and the second feature vector.
11. The apparatus of claim 10, wherein the presentation module determines a second feature vector for characterizing the first search result comprises: and determining the second feature vector according to whether the query word appears in a local vertical class, wherein the local vertical class comprises files, contacts, short messages and applications.
12. The apparatus of claim 10, wherein the presentation module predicts the user retrieval intent based on the first feature vector and the second feature vector comprises:
acquiring a retrieval intention probability value based on the first feature vector and the second feature vector;
and predicting the user retrieval intention as the local retrieval if the retrieval intention probability value is larger than a second threshold, and predicting the user retrieval intention as the networking retrieval if the retrieval intention probability value is smaller than a second threshold.
13. A terminal device comprising a processor, a memory and a program or instructions stored on the memory and executable on the processor, the program or instructions when executed by the processor implementing the steps of the presentation method as claimed in any one of claims 1 to 6.
14. A readable storage medium, on which a program or instructions are stored, which when executed by a processor, carry out the steps of the presentation method according to any one of claims 1 to 6.
Priority Applications (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110644685.3A CN113282830A (en) | 2021-06-09 | 2021-06-09 | Display method and display device |
| PCT/CN2022/097134 WO2022257883A1 (en) | 2021-06-09 | 2022-06-06 | Presentation method and presentation apparatus |
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110644685.3A CN113282830A (en) | 2021-06-09 | 2021-06-09 | Display method and display device |
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| CN113282830A true CN113282830A (en) | 2021-08-20 |
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| CN202110644685.3A Pending CN113282830A (en) | 2021-06-09 | 2021-06-09 | Display method and display device |
Country Status (2)
| Country | Link |
|---|---|
| CN (1) | CN113282830A (en) |
| WO (1) | WO2022257883A1 (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2022257883A1 (en) * | 2021-06-09 | 2022-12-15 | 维沃移动通信有限公司 | Presentation method and presentation apparatus |
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| CN107315841A (en) * | 2017-07-20 | 2017-11-03 | 北京三快在线科技有限公司 | A kind of information search method, apparatus and system |
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| CN104331465B (en) * | 2014-10-30 | 2017-09-29 | 广东欧珀移动通信有限公司 | The searching method and device of mobile terminal |
| CN107396432A (en) * | 2017-07-20 | 2017-11-24 | 深圳市沃特沃德股份有限公司 | Position control method and device |
| CN113282830A (en) * | 2021-06-09 | 2021-08-20 | 维沃移动通信有限公司 | Display method and display device |
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- 2021-06-09 CN CN202110644685.3A patent/CN113282830A/en active Pending
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- 2022-06-06 WO PCT/CN2022/097134 patent/WO2022257883A1/en unknown
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| US20110320440A1 (en) * | 2010-06-23 | 2011-12-29 | Microsoft Corporation | Placement of search results using user intent |
| CN105264528A (en) * | 2014-03-26 | 2016-01-20 | 微软技术许可有限责任公司 | Client intent in integrated search environment |
| CN107315841A (en) * | 2017-07-20 | 2017-11-03 | 北京三快在线科技有限公司 | A kind of information search method, apparatus and system |
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| WO2022257883A1 (en) * | 2021-06-09 | 2022-12-15 | 维沃移动通信有限公司 | Presentation method and presentation apparatus |
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| Publication number | Publication date |
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| WO2022257883A1 (en) | 2022-12-15 |
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