CN115079836A

CN115079836A - Request processing method, device and medium

Info

Publication number: CN115079836A
Application number: CN202110261239.4A
Authority: CN
Inventors: 韩秦; 余天照; 王玉; 盛越; 卓兴中
Original assignee: Beijing Sogou Technology Development Co Ltd
Current assignee: Beijing Sogou Technology Development Co Ltd
Priority date: 2021-03-10
Filing date: 2021-03-10
Publication date: 2022-09-20
Also published as: WO2022188297A1

Abstract

The embodiment of the invention provides a request processing method, a request processing device and a request processing medium. The method specifically comprises the following steps: displaying the candidate items, and timing the display time; in the case that the timing value is within the time range, sending a request; the request is for a cloud candidate; the time range is obtained according to historical behavior data corresponding to the candidate items, and the historical behavior data comprises: the method comprises the steps of displaying screen behavior data under the condition of displaying candidate items, and/or triggering behavior data aiming at a preset control under the condition of displaying the candidate items; the preset control is used for triggering the display of more candidate items. According to the embodiment of the invention, the presenting speed of the cloud candidates can be improved under the condition of reducing the load of the server.

Description

Request processing method, device and medium

Technical Field

The present invention relates to the field of communications technologies, and in particular, to a request processing method, apparatus, and medium.

Background

The traditional input method is limited by the memory capacity and the CPU capacity of a local computer, uses a word stock and a language model with smaller scale and has limited input accuracy. The cloud input method is an input method based on a cloud computing technology, and has incomparable advantages compared with the traditional input method by virtue of strong storage and operation capabilities of a server cluster: the advantages of a larger and updated word bank and a more advanced language model are that the input accuracy is obviously improved. The client can send a request to the cloud end, the request can include an input string, the cloud end determines the cloud candidate corresponding to the request, and then the cloud candidate is returned to the client for the user to select. The goal pursued in the field of input methods is to provide cloud candidates quickly and reduce the load of a server.

In order to improve the providing speed of cloud candidates, a request processing method frequently sends requests. For example, the request is sent immediately after an update of the input string is detected. The method can increase the burden of the server and even cause the fault of the server.

In order to reduce the burden of a server, a request processing method sends a request after receiving triggering operation of a user for more candidate controls. As a certain time is consumed from the sending of the request to the returning of the cloud candidate, the client displays more candidate items after receiving the triggering operation; thus, the return of cloud candidates has some hysteresis with respect to the presentation of more candidates, which will not provide the cloud candidates to the user in a timely manner.

Disclosure of Invention

Embodiments of the present invention provide a request processing method, apparatus, and medium, which can improve the presentation speed of cloud candidates under the condition of reducing the load of a server.

In order to solve the above problem, an embodiment of the present invention discloses a request processing method, including:

displaying the candidate items, and timing the display time;

sending a request in case the timing value is within the time range; the request is for a cloud candidate; the time range is obtained according to historical behavior data corresponding to the candidate items, and the historical behavior data comprises: the method comprises the steps of displaying screen behavior data under the condition of displaying candidate items, and/or triggering behavior data aiming at a preset control under the condition of displaying the candidate items; the preset control is used for triggering the display of more candidate items.

On the other hand, the embodiment of the invention discloses a request processing device, which comprises:

the display timing module is used for displaying the candidate items and timing display time; and

the request sending module is used for sending a request under the condition that the timing value is in a time range; the request is for a cloud candidate; the time range is obtained according to historical behavior data corresponding to the candidate items, and the historical behavior data comprises: the method comprises the steps of displaying behavior data on a screen under the condition of displaying candidate items, and/or triggering behavior data aiming at a preset control under the condition of displaying the candidate items; the preset control is used for triggering the display of more candidate items.

In yet another aspect, an embodiment of the present invention discloses an apparatus for processing a request, including a memory, and one or more programs, where the one or more programs are stored in the memory, and configured to be executed by the one or more processors includes instructions for:

displaying the candidate items, and timing the display time;

In yet another aspect, an embodiment of the invention discloses a machine-readable medium having stored thereon instructions, which, when executed by one or more processors, cause an apparatus to perform a request processing method as described in one or more of the preceding.

The embodiment of the invention has the following advantages:

the embodiment of the invention sends a request under the condition that the timing value of the showing time is in a time range; the sending time of the request can be controlled according to the triggering behavior rule reflected by the time range, so that the problem of frequently sending the request can be solved, and the presenting speed of the cloud candidate can be increased; therefore, the cloud candidate presenting speed can be increased under the condition of reducing the load of the server.

Drawings

In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings needed to be used in the description of the embodiments of the present invention will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained according to these drawings without inventive labor.

FIG. 1 is a schematic illustration of an application environment for a request processing method according to an embodiment of the invention;

FIG. 2 is a flow chart of the steps of one embodiment of a request processing method of the present invention;

FIG. 3 is a block diagram of an input device according to an embodiment of the present invention;

FIG. 4 is a block diagram of an apparatus 800 for processing requests of the present invention; and

fig. 5 is a schematic structural diagram of a server in some embodiments of the invention.

Detailed Description

The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, not all, embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.

Aiming at the technical problem of contradiction between rapid cloud candidate provision and server load reduction, the embodiment of the invention provides a request processing scheme, which can comprise the following steps: displaying the candidate items, and timing the display time; sending a request in case the timing value is within the time range; the request is for a cloud candidate; the time range may be obtained according to historical behavior data corresponding to the candidate, where the historical behavior data may specifically include: the method comprises the steps of displaying screen behavior data under the condition of displaying candidate items, and/or triggering behavior data aiming at a preset control under the condition of displaying the candidate items; the preset control is used for triggering the display of more candidate items.

The inventor of the patent finds that through collection, accumulation and analysis of historical behavior data corresponding to candidate items, a user can regularly cycle the triggering behavior of a preset control under the condition of showing the candidate items; therefore, a time range can be obtained according to the historical behavior data corresponding to the candidate item, and the time range can reflect the rule of the user for the trigger behavior of the preset control (hereinafter referred to as trigger behavior rule) under the condition of showing the candidate item.

The request processing method provided by the embodiment of the present invention can be applied to the application environment shown in fig. 1, as shown in fig. 1, the client 100 and the server 200 are located in a wired or wireless network, and the client 100 and the server 200 perform data interaction through the wired or wireless network.

Optionally, the client 100 may run on a terminal, which specifically includes but is not limited to: smart phones, tablet computers, electronic book readers, MP3 (Moving Picture Experts Group Audio Layer III) players, MP4 (Moving Picture Experts Group Audio Layer IV) players, laptop portable computers, car-mounted computers, desktop computers, set-top boxes, smart televisions, wearable devices, and the like. The client 100 may correspond to a website, or APP (Application). The client 100 may correspond to an application program such as an input method APP.

The server in the embodiment of the invention can be a cloud server (cloud). The cloud is a computing service which is simple, efficient, safe, reliable and elastic in processing capacity. The resource information of the cloud end has dynamic property, so that the processing capacity of the cloud end can be elastically stretched.

The embodiment of the invention can be applied to input method programs of various input modes such as keyboard symbols, handwriting, voice and the like. Taking a keyboard symbol input mode as an example, a user can input characters through a code character string, and the input string can refer to the code character string input by the user. In the field of input methods, for input method programs in, for example, chinese, japanese, korean, or other languages, an input string input by a user may be generally converted into a candidate for a corresponding language. Hereinafter, the description will be mainly given by taking chinese as an example, and other languages such as japanese and korean may be referred to each other. It is to be understood that the above-mentioned chinese input methods may include, but are not limited to, full pinyin, simple pinyin, strokes, five strokes, etc., and the embodiment of the present invention is not limited to a specific input method program corresponding to a certain language.

Taking the input of chinese as an example, the types of the encoding character string may include: pinyin strings, character strings (such as pencils, etc.). Taking english input as an example, the types of the encoding strings may include: alphabetic strings, and the like.

In practical applications, for the input mode of keyboard symbols, a user may input the input string through a physical keyboard or a virtual keyboard. For example, for a terminal with a touch screen, a virtual keyboard may be set in the input interface to use input of an input string by triggering virtual keys included in the virtual keyboard. Optionally, examples of the virtual keyboard may include: a 9-key keyboard, a 26-key keyboard, etc. Moreover, it can be understood that, in addition to the virtual keys corresponding to the letters, the input interface may also be provided with symbol keys, numeric keys, and function keys such as a chinese-english switching key, or may also be provided with toolbar keys, and it can be understood that the specific keys included in the input interface are not limited in the embodiments of the present invention.

According to some embodiments, the input string may include, but is not limited to: a key symbol or a combination of a plurality of key symbols input by a user through a key. The key symbol may specifically include: pinyin, strokes, kana, etc.

In an embodiment of the present invention, the candidate may be used to represent one or more characters provided by the input method program to be selected by the user. The candidates may be characters of languages such as chinese characters, english characters, japanese characters, and the like, and the candidates may also be symbol combinations in the form of characters, pictures, and the like. The above mentioned characters include but are not limited to lines, symbols, and drawings composed of characters, for example, the examples of the above mentioned characters may include: ": p ",": o ",": etc.

The cloud candidate may be a candidate provided by the server. The cloud candidate may be an associative candidate or a non-associative candidate that matches the input string. For example, if the input string is "meilijianh", its corresponding non-associative candidate may include "plum blossom", etc. As another example, if the input string is "meilijianh", its corresponding association candidate may include "united states of america" or the like. It is to be understood that the embodiment of the present invention does not limit the specific cloud candidates and the specific determination manner of the cloud candidates.

Method embodiment one

This embodiment explains a process of analyzing and obtaining a time range according to historical behavior data corresponding to a candidate.

The analysis of the historical behavior data corresponding to the candidate may be performed by the client or the server, and it can be understood that the specific execution subject of the analysis of the historical behavior data corresponding to the candidate is not limited in the embodiment of the present invention.

The historical behavior data corresponding to the candidate item may be the historical behavior data of the user in the case of presenting the candidate item. The historical behavior data may specifically include: the display behavior data in the case of showing the candidate item, and/or the trigger behavior data for the preset control in the case of showing the candidate item.

In the embodiment of the present invention, the screen-up refers to an operation of displaying the content in the preview window to the application window. Specifically to the input method program, the screen-up may refer to an operation of displaying the candidate items in the candidate window to the application window.

In the input process, the input method program usually displays a first preset number of candidate items in the candidate window for the user to select. If one of the candidate items A meets the requirements of the user, the candidate item A can be displayed on the screen in response to the screen displaying operation of the user.

Preset controls can also be displayed in the candidate window. Under the condition that the candidate items of the first preset number do not meet the requirements of the user, the user can generate a trigger action aiming at the preset control, and the input method program can respond to the trigger action and display the candidate items of the second preset number in the candidate window, wherein the second preset number is usually larger than the first preset number; thus, the preset control can be used to trigger more candidates.

The screen-up behavior data may specifically refer to screen-up behavior data for the candidate item. The trigger behavior data may specifically refer to trigger behavior data for a preset control in the case of presenting the candidate items. The on-screen behavior data and/or the trigger behavior data may originate from at least some of the users in the internet. Accordingly, the client of the input method program can collect the screen-on behavior data and/or the trigger behavior data, and periodically report the collected screen-on behavior data and/or the trigger behavior data to the server.

The embodiment of the invention can analyze the screen-on behavior data or the trigger behavior data individually to obtain the time range, or can analyze the screen-on behavior data or the trigger behavior data in a combined manner to obtain the time range.

In an optional embodiment of the present invention, the process of analyzing the historical behavior data may comprise: determining a mapping relation between the display time and the behavior frequency according to the historical behavior data; and determining the time range according to the mapping relation.

For historical behavior data corresponding to a historical behavior, the historical behavior data may include: time information of the historical behavior.

The time information may be a presentation time corresponding to the historical behavior, and the presentation time may represent that the historical behavior is executed under a condition that a duration corresponding to the presentation time of the candidate item is presented. Alternatively, the time information may be execution time information; in this case, the presentation time corresponding to the historical behavior may be determined according to the execution time information and the starting presentation time of the candidate.

The embodiment of the invention can analyze the historical behavior data corresponding to a plurality of times of historical behaviors to obtain the mapping relation between the display time and the behavior frequency. The frequency of actions may include: the frequency of occurrence or the number of occurrences corresponding to the historical behavior. The mapping relationship may represent the frequency of occurrence or the number of occurrences of the historical behavior in the case where the candidate is presented for a duration corresponding to the presentation time.

In a specific implementation, the mapping relationship may include:

displaying a first mapping relation between time and screen-on frequency; and/or

And displaying a second mapping relation between the time and the triggering frequency.

Referring to table 1, a schematic diagram showing a mapping relationship between time and behavior frequency according to an embodiment of the present invention is shown. Wherein, T1 and T2 … Tn represent the showing time, F11 and F12 … Fn1 represent the screen-up frequency, and F12 and F22 … Fn2 represent the triggering frequency.

TABLE 1

Showing time	Frequency of going to screen	Frequency of triggering
			T1	F11	F12
T2	F21	F22
			T3	F31	F32
…	…	…
			Tn	Fn1	Fn2

The embodiment of the invention can analyze the mapping relation, determine the rule between the behavior frequency and the display time, and further determine the time range according to the rule.

The embodiment of the invention can provide the mapping relation and determine the following technical scheme of the time range:

technical scheme 1,

In technical solution 1, the determining the time range according to the mapping relationship may specifically include: determining a first display time corresponding to the highest screen-on frequency according to the first mapping relation; and determining a time range according to the first display time.

Analyzing the first mapping relation shows that the screen-on frequency increases with the increase of the display time, and decreases with the increase of the display time after the screen-on frequency increases to the highest screen-on frequency. According to the rule of the first mapping relation, the screen-on frequency after the first display time is in a descending trend; thus, the reason for not having been on-screen after the first presentation time may be that the candidates do not meet the user requirements. Therefore, the cloud candidate can be requested from the server after the first presentation time, so that the cloud candidate can be presented in time under the condition that the preset control is triggered.

In a specific implementation, the first presentation time or a time after the first presentation time may be used as a lower limit of the time range; and determining the upper limit of the time range according to the preset duration. The preset time length may represent the length of the time range, and a person skilled in the art may determine the preset time length according to the actual application requirement.

Technical scheme 2,

In technical solution 2, the determining the time range according to the mapping relationship may specifically include: determining a second display time corresponding to the highest triggering frequency according to a second mapping relation; determining a time range according to the second display time and the request processing time length; the request processing time length is used for representing the time length from the request to the cloud candidate return.

And analyzing the second mapping relation to find that the triggering frequency increases with the increase of the presentation time, and decreases with the increase of the presentation time after the triggering frequency increases to the highest triggering frequency.

According to the rule of the second mapping relation, the second display time corresponds to the triggering behavior with the highest frequency, so that the cloud candidate can be prepared before the second display time, and the cloud candidate can be presented in time under the condition of triggering the preset control.

In a specific implementation, the upper limit of the time range may be determined according to the second presentation time and the request processing time length. For example, the upper limit of the time range may be determined according to the difference between the second presentation time and the request processing time period. After the upper limit of the time range is determined, the lower limit of the time range may be determined according to a preset duration.

Technical scheme 3,

In technical scheme 3, the determining the time range according to the mapping relationship may specifically include: determining corresponding third display time under the condition that the upper screen frequency is matched with the trigger frequency according to the first mapping relation and the second mapping relation; determining a time range according to the third display time and the request processing time length; the request processing time length is used for representing the time length from the request to the cloud candidate return.

After presenting the candidate items, the user typically browses the candidate items first. And if the candidate item meeting the requirement is found in the browsing process, the candidate item is displayed on the screen. If the candidate item meeting the requirement is not found after all the candidate items are browsed, the preset control is triggered. Therefore, the trigger behavior usually lags behind the screen-on behavior, i.e., the presentation time corresponding to the trigger behavior is usually later than the presentation time corresponding to the screen-on behavior.

The inventor of the present invention found through research that the increasing trend corresponding to the triggering frequency generally corresponds to the decreasing trend corresponding to the on-screen frequency. Therefore, the third presentation time corresponding to the case where the screen-on frequency and the trigger frequency are matched can be determined according to the technical scheme 3. The matching of the screen-on frequency and the trigger frequency may include: the difference between the screen-on frequency and the trigger frequency is smaller than a threshold value, and the like, and can correspond to the conditions that the screen-on frequency and the trigger frequency are the same or similar, and the like.

According to the rule of the first mapping relation and the second mapping relation, after the third display time, the probability of the triggering behavior is generally higher than that of the screen-up behavior, so that the cloud candidate can be prepared before the third display time, and the cloud candidate can be presented in time under the condition that the preset control is triggered.

In a specific implementation, the upper limit of the time range may be determined according to the third presentation time and the request processing time length. For example, the upper limit of the time range may be determined according to the difference between the third presentation time and the request processing time period. After determining the upper limit of the time range, the lower limit of the time range may be determined according to a preset duration.

The above detailed description is given on the process of determining the time range according to the mapping relationship through technical solutions 1 to 3, and it can be understood that a person skilled in the art can adopt any one or a combination of technical solutions 1 to 3 according to the actual application requirements.

In a specific implementation, any one of technical solutions 1 to 3 may be executed according to historical behavior data of a plurality of users or historical behavior data of current users to determine the time range.

In an optional embodiment of the present invention, the method may further include: determining a time range according to historical behavior data of a plurality of users; and adjusting the time range according to the historical behavior data of the current user. The time range is adjusted, so that the adjusted time range can accord with the operation habit of the current user.

For example, the current user's historical behavior data includes: the display time corresponding to the trigger behavior may be analyzed from the historical behavior data of the current user to obtain a fourth display time corresponding to the highest trigger frequency of the current user, and if the fourth display time is less than the sum of the upper limit of the time range and the request processing duration, the upper limit of the time range may be reduced.

As another example, the current user's historical behavior data includes: the display time corresponding to the screen-up behavior may be analyzed from historical behavior data of the current user to obtain a fifth display time corresponding to the highest screen-up frequency of the current user, and if the fifth display time is greater than the sum of the lower limit of the time range and the request processing duration, the lower limit of the time range may be increased.

It is understood that, a person skilled in the art may adjust the time range according to the actual application requirement, and the embodiment of the present invention does not limit the specific adjustment process.

In summary, the request processing method according to the embodiment of the present invention obtains the time range according to the historical behavior data corresponding to the candidate item, where the time range can reflect the behavior triggering rule of the user in the case of showing the candidate item.

Method embodiment two

Referring to fig. 2, a flowchart illustrating steps of an embodiment of a request processing method according to the present invention is shown, which may specifically include the following steps:

step 201, displaying the candidate items, and timing the displaying time;

step 202, sending a request when the timing value is in the time range; the request is for requesting a cloud candidate; the time range can be obtained according to historical behavior data corresponding to the candidate items;

the historical behavior data may include: the method comprises the steps of displaying screen behavior data under the condition of displaying candidate items, and/or triggering behavior data aiming at a preset control under the condition of displaying the candidate items; the preset control is used for triggering the display of more candidate items.

The embodiment of the method shown in fig. 2 may be executed by a client, and it is understood that the embodiment of the present invention does not limit the specific execution subject of the embodiment of the method.

In step 201, in the input process, a candidate item corresponding to the input string may be displayed, and the candidate item may be updated according to the update of the input string.

The candidate presented in step 201 may refer to a candidate in the case that the preset control is not triggered. The candidate in step 201 may be displayed in a first candidate window, which may be located above the input keyboard to update the candidate during the input process.

In case of triggering the preset control, a second candidate window may be presented and more candidates presented in the second candidate window.

The size of the second candidate window may be larger than the size of the first candidate window, such that the number of candidates presented by the second candidate window may be larger than the number of candidates presented by the first candidate window.

For example, the first candidate window is a rectangular window with a length and a width of L1 and W1, respectively, and the second candidate window is a rectangular window with a length and a width of L2 and W2, respectively, alternatively, L1 is equal to L2, and W1 is smaller than W2. It is understood that the specific sizes of the first candidate window and the second candidate window are not limited by the embodiments of the present invention.

In step 202, a request is sent if the timer value is within the time range. The time range can be obtained according to the historical behavior data corresponding to the candidate items, so that the time range can reflect the triggering behavior rule of the user under the condition of showing the candidate items; therefore, the presentation speed of the cloud candidate can be increased while reducing the load on the server.

Under the condition that the historical behavior data comprises the screen-on behavior data, the screen-on behavior rule can be obtained according to the screen-on behavior data, the trigger behavior rule is determined according to the rule that the trigger behavior usually lags behind the screen-on behavior, and then the time range conforming to the trigger behavior rule can be obtained.

Under the condition that the historical behavior data comprises the trigger behavior data, the trigger behavior rule can be obtained according to the trigger behavior data, and then the time range which accords with the trigger behavior rule can be obtained.

Under the condition that the historical behavior data comprises the screen-on behavior data and the trigger behavior data, the screen-on behavior rule can be obtained according to the screen-on behavior data, the trigger behavior rule can be obtained according to the trigger behavior data, and then the time range which accords with the trigger behavior rule can be obtained according to the screen-on behavior rule, the trigger behavior rule and the association between the screen-on behavior rule and the trigger behavior rule.

Optionally, the time range may be obtained according to a mapping relationship between the presentation time and the behavior frequency, where the mapping relationship may be obtained according to historical behavior data.

In a specific implementation, the mapping relationship may include:

In a specific implementation, the time range may be obtained according to a first presentation time corresponding to a highest screen-loading frequency, where the first presentation time may be obtained according to a first mapping relationship.

In a specific implementation, the time range may be obtained according to a second presentation time corresponding to the highest trigger frequency and a request processing duration, the second presentation time may be obtained according to a second mapping relationship, and the request processing duration is used to represent a duration that passes from the request sending to the cloud candidate returning.

In a specific implementation, the time range may be obtained according to a third presentation time and a request processing time length, where the third presentation time is obtained according to the first mapping relationship and the second mapping relationship, and the request processing time length is used to represent a time length from sending the request to returning the cloud candidate.

In a specific implementation, the time range may be obtained according to historical behavior data of multiple users or current users.

In a specific implementation, the time range may be obtained by adjusting a time range obtained based on historical behavior data of a plurality of users according to historical behavior data of a current user.

The request of the embodiment of the present invention may include: the input string, or the request of the embodiment of the present invention may include: the string and its corresponding context are input.

After the request is sent, cloud candidates corresponding to the request can also be received. Further, after receiving the trigger operation for the preset control, the cloud candidate may also be presented, for example, the cloud candidate is presented in the second candidate window.

In a specific implementation, the request may correspond to a plurality of cloud candidates, and the specific number of cloud candidates corresponding to the request is not limited in the embodiment of the present invention.

In specific implementation, a temporary word bank may be locally set at the client, and the temporary word bank may be used to store temporary cloud entries corresponding to cloud candidates returned by the server. Therefore, the cloud candidate can be searched in the temporary word bank according to the input string and provided in real time in the input process, the providing speed of the cloud candidate can be increased, and the sending times of the request and the burden of a server side can be reduced.

The temporary word stock may have recorded therein: temporary cloud entries, input strings, word frequency, update time, and the like. The term frequency may represent the frequency of input of the temporary cloud term by the current user. The update time may be an update time of the word frequency. A capacity upper limit may be set for the temporary thesaurus, and the temporary cloud entry may be deleted from the temporary thesaurus according to word frequency and/or update time when the capacity of the temporary thesaurus reaches the capacity upper limit. For example, temporary cloud entries with a low word frequency may be deleted, or temporary cloud entries with an earlier update time may be deleted.

To sum up, the request processing method of the embodiment of the present invention sends the request when the timing value of the presentation time is within the time range; the sending time of the request can be controlled according to the triggering behavior rule reflected by the time range, so that the problem of frequently sending the request can be solved, and the presenting speed of the cloud candidate can be increased; therefore, the cloud candidate presenting speed can be increased under the condition of reducing the load of the server.

In an example of the present invention, the user a inputs with a nine-grid keyboard, and presses the keys of "6", "3", "4", "5", "4", "2", "6" and "4", respectively, so that the input method may display a syllable string of "mei 'li' liang" in the syllable region, and display a corresponding non-cloud candidate in the first candidate window, where the non-cloud candidate displayed in the first candidate window specifically includes: "no strength", "no few vehicles", "united states of america", etc. When the timing value of the display time is within the time range, a request can be sent, a cloud candidate 'no-talk' can be obtained from the server, the cloud candidate 'no-talk' can be displayed in the upper right corner of the first candidate window, cloud identification corresponding to the cloud candidate 'no-talk' can also be displayed, and the cloud association candidate 'no-talk' can be identified as a cloud candidate.

In this example, the time range may be derived for historical behavior data for a plurality of users, which may or may not include user a; alternatively, the time range may be obtained for the historical behavior data of the user a; alternatively, the time range may be obtained according to the historical behavior data of a plurality of users, and then the time range may be adjusted according to the historical behavior data of the user a. The time range can reflect the rule of the triggering behavior; therefore, the embodiment of the invention can obtain the cloud candidate 'no-word' from the server side before the user A triggers the preset control, thereby not only overcoming the problem of frequently sending the request, but also improving the presenting speed of the cloud candidate.

It should be noted that, for simplicity of description, the method embodiments are described as a series of movement combinations, but those skilled in the art should understand that the present invention is not limited by the described movement sequence, because some steps can be performed in other sequences or simultaneously according to the present invention. Further, those skilled in the art will appreciate that the embodiments described in the specification are presently preferred and that no moving act is required as an embodiment of the invention.

Device embodiment

Referring to fig. 3, a block diagram of an embodiment of an input device according to the present invention is shown, which may specifically include:

a presentation timing module 301, configured to present the candidate items and time presentation time; and

a request sending module 302, configured to send a request if the timing value is within the time range; the request is used for requesting a cloud candidate; the time range is obtained according to historical behavior data corresponding to the candidate item, and the historical behavior data may include: the method comprises the steps of displaying screen behavior data under the condition of displaying candidate items, and/or triggering behavior data aiming at a preset control under the condition of displaying the candidate items; the preset control is used for triggering the display of more candidate items.

Optionally, the apparatus may further include:

the mapping determining module is used for determining the mapping relation between the display time and the behavior frequency according to the historical behavior data;

and the time range determining module is used for determining the time range according to the mapping relation.

Optionally, the mapping relationship may include:

Optionally, the time range determining module may include:

the first display time determining module is used for determining first display time corresponding to the highest screen-loading frequency according to the first mapping relation;

and the first time range determining module is used for determining a time range according to the first showing time.

Optionally, the time range determining module may include:

the second display time determining module is used for determining second display time corresponding to the highest triggering frequency according to a second mapping relation;

a second time range determining module, configured to determine a time range according to the second presentation time and the request processing duration; the request processing time length is used for representing the time length from the request to the cloud candidate return.

Optionally, the time range determining module may include:

the third display time determining module is used for determining corresponding third display time under the condition that the upper screen frequency is matched with the trigger frequency according to the first mapping relation and the second mapping relation;

a third time range determining module, configured to determine a time range according to the third presentation time and the request processing duration; the request processing time length is used for representing the time length from the request to the cloud candidate return.

Optionally, the apparatus may further include:

the fourth time range determining module is used for determining a time range according to historical behavior data of a plurality of users;

and the adjusting module is used for adjusting the time range according to the historical behavior data of the current user.

For the device embodiment, since it is basically similar to the method embodiment, the description is simple, and for the relevant points, refer to the partial description of the method embodiment.

The embodiments in the present specification are described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same and similar parts among the embodiments are referred to each other.

With regard to the apparatus in the above-described embodiment, the specific manner in which each module performs the operation has been described in detail in the embodiment related to the method, and will not be elaborated here.

An embodiment of the present invention provides an apparatus for processing a request, comprising a memory, and one or more programs, wherein the one or more programs are stored in the memory, and the one or more programs configured to be executed by the one or more processors include instructions for: displaying the candidate items, and timing the display time; sending a request in case the timing value is within the time range; the request is for a cloud candidate; the time range is obtained according to historical behavior data corresponding to the candidate items, and the historical behavior data comprises: the method comprises the steps of displaying screen behavior data under the condition of displaying candidate items, and/or triggering behavior data aiming at a preset control under the condition of displaying the candidate items; the preset control is used for triggering the display of more candidate items.

Fig. 4 is a block diagram illustrating an apparatus 800 for processing a request in accordance with an example embodiment. For example, the apparatus 800 may be a mobile phone, a computer, a digital broadcast terminal, a messaging device, a game console, a tablet device, a medical device, an exercise device, a personal digital assistant, and the like.

Referring to fig. 4, the apparatus 800 may include one or more of the following components: processing component 802, memory 804, power component 806, multimedia component 808, audio component 810, input/output (I/O) interface 812, sensor component 814, and communication component 816.

The processing component 802 generally controls overall operation of the device 800, such as operations associated with display, telephone calls, data communications, camera operations, and recording operations. The processing elements 802 may include one or more processors 820 to execute instructions to perform all or a portion of the steps of the methods described above. Further, the processing component 802 can include one or more modules that facilitate interaction between the processing component 802 and other components. For example, the processing component 802 may include a multimedia module to facilitate interaction between the multimedia component 808 and the processing component 802.

The memory 804 is configured to store various types of data to support operation at the device 800. Examples of such data include instructions for any application or method operating on device 800, contact data, phonebook data, messages, pictures, videos, and so forth. The memory 804 may be implemented by any type or combination of volatile and non-volatile memory devices such as Static Random Access Memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic or optical disks.

Power components 806 provide power to the various components of device 800. The power components 806 may include a power management system, one or more power supplies, and other components associated with generating, managing, and distributing power for the apparatus 800.

The multimedia component 808 includes a screen that provides an output interface between the device 800 and a user. In some embodiments, the screen may include a Liquid Crystal Display (LCD) and a Touch Panel (TP). If the screen includes a touch panel, the screen may be implemented as a touch screen to receive an input signal from a user. The touch panel includes one or more touch sensors to sense touch, slide, and gestures on the touch panel. The touch sensor may not only sense the boundary of a touch or slide action, but also detect the duration and pressure associated with the touch or slide operation. In some embodiments, the multimedia component 808 includes a front facing camera and/or a rear facing camera. The front-facing camera and/or the rear-facing camera may receive external multimedia data when the device 800 is in an operating mode, such as a shooting mode or a video mode. Each front camera and rear camera may be a fixed optical lens system or have a focal length and optical zoom capability.

The audio component 810 is configured to output and/or input audio signals. For example, audio component 810 includes a Microphone (MIC) configured to receive external audio signals when apparatus 800 is in an operational mode, such as a call mode, a recording mode, and a voice input mode. The received audio signals may further be stored in the memory 804 or transmitted via the communication component 816. In some embodiments, audio component 810 also includes a speaker for outputting audio signals.

The I/O interface 812 provides an interface between the processing component 802 and peripheral interface modules, which may be keyboards, click wheels, buttons, etc. These buttons may include, but are not limited to: a home button, a volume button, a start button, and a lock button.

The sensor assembly 814 includes one or more sensors for providing various aspects of state assessment for the device 800. For example, the sensor assembly 814 may detect the open/closed state of the device 800, the relative positioning of the components, such as a display and keypad of the apparatus 800, the sensor assembly 814 may also detect a change in position of the apparatus 800 or a component of the apparatus 800, the presence or absence of user contact with the apparatus 800, orientation or acceleration/deceleration of the apparatus 800, and a change in temperature of the apparatus 800. Sensor assembly 814 may include a proximity sensor configured to detect the presence of a nearby object without any physical contact. The sensor assembly 814 may also include a light sensor, such as a CMOS or CCD image sensor, for use in imaging applications. In some embodiments, the sensor assembly 814 may also include an acceleration sensor, a gyroscope sensor, a magnetic sensor, a pressure sensor, or a temperature sensor.

The communication component 816 is configured to facilitate communications between the apparatus 800 and other devices in a wired or wireless manner. The device 800 may access a wireless network based on a communication standard, such as WiFi, 2G or 3G, or a combination thereof. In an exemplary embodiment, the communication component 816 receives broadcast signals or broadcast related information from an external broadcast management system via a broadcast channel. In an exemplary embodiment, the communication component 816 further includes a Near Field Communication (NFC) module to facilitate short-range communications. For example, the NFC module may be implemented based on Radio Frequency Identification (RFID) technology, infrared data association (IrDA) technology, Ultra Wideband (UWB) technology, Bluetooth (BT) technology, and other technologies.

In an exemplary embodiment, the apparatus 800 may be implemented by one or more Application Specific Integrated Circuits (ASICs), Digital Signal Processors (DSPs), Digital Signal Processing Devices (DSPDs), Programmable Logic Devices (PLDs), Field Programmable Gate Arrays (FPGAs), controllers, micro-controllers, microprocessors or other electronic components for performing the above-described methods.

In an exemplary embodiment, a non-transitory computer-readable storage medium comprising instructions, such as the memory 804 comprising instructions, executable by the processor 820 of the device 800 to perform the above-described method is also provided. For example, the non-transitory computer readable storage medium may be a ROM, a Random Access Memory (RAM), a CD-ROM, a magnetic tape, a floppy disk, an optical data storage device, and the like.

Fig. 5 is a schematic diagram of a server in some embodiments of the invention. The server 1900, which may vary considerably in configuration or performance, may include one or more Central Processing Units (CPUs) 1922 (e.g., one or more processors) and memory 1932, one or more storage media 1930 (e.g., one or more mass storage devices) storing applications 1942 or data 1944. Memory 1932 and storage medium 1930 can be, among other things, transient or persistent storage. The program stored in the storage medium 1930 may include one or more modules (not shown), each of which may include a series of instructions operating on a server. Still further, a central processor 1922 may be provided in communication with the storage medium 1930 to execute a series of instruction operations in the storage medium 1930 on the server 1900.

The server 1900 may also include one or more power supplies 1926, one or more wired or wireless network interfaces 1950, one or more input-output interfaces 1958, one or more keyboards 1956, and/or one or more operating systems 1941, such as Windows Server, Mac OS XTM, UnixTM, LinuxTM, FreeBSDTM, etc.

A non-transitory computer-readable storage medium in which instructions, when executed by a processor of an apparatus (server or terminal), enable the apparatus to perform the request processing method shown in fig. 2.

A non-transitory computer readable storage medium in which instructions, when executed by a processor of an apparatus (server or terminal), enable the apparatus to perform a request processing method, the method comprising: displaying the candidate items, and timing the display time; sending a request in case the timing value is within the time range; the request is for a cloud candidate; the time range is obtained according to historical behavior data corresponding to the candidate items, and the historical behavior data comprises: the method comprises the steps of displaying behavior data on a screen under the condition of displaying candidate items, and/or triggering behavior data aiming at a preset control under the condition of displaying the candidate items; the preset control is used for triggering the display of more candidate items.

The embodiment of the invention discloses A1 and a request processing method, which comprises the following steps:

displaying the candidate items, and timing the display time;

A2, the method of A1, the method further comprising:

determining a mapping relation between the display time and the behavior frequency according to the historical behavior data;

and determining a time range according to the mapping relation.

A3, the method according to A2, wherein the mapping relationship comprises:

A4, according to the method of A3, the determining a time range according to the mapping relationship includes:

determining a first display time corresponding to the highest screen-on frequency according to the first mapping relation;

and determining a time range according to the first display time.

A5, according to the method of A3, the determining the time range according to the mapping relation includes:

determining a second display time corresponding to the highest triggering frequency according to a second mapping relation;

determining a time range according to the second display time and the request processing duration; the request processing duration is used for representing the duration of time from the sending of the request to the return of the cloud candidate.

A6, according to the method of A3, the determining a time range according to the mapping relationship includes:

determining corresponding third display time under the condition that the upper screen frequency is matched with the trigger frequency according to the first mapping relation and the second mapping relation;

determining a time range according to the third presentation time and the request processing duration; the request processing time length is used for representing the time length from the request to the cloud candidate return.

A7, the method of A1, the method further comprising:

determining a time range according to historical behavior data of a plurality of users;

and adjusting the time range according to the historical behavior data of the current user.

The embodiment of the invention discloses B8 and an input device, which comprises:

B9, the apparatus according to B8, the apparatus further comprising:

B10, the apparatus according to B9, the mapping relation includes:

B11, the apparatus of B10, the time range determination module comprising:

and the first time range determining module is used for determining a time range according to the first display time.

B12, the apparatus of B10, the time range determination module comprising:

the second time range determining module is used for determining a time range according to the second display time and the request processing duration; the request processing time length is used for representing the time length from the request to the cloud candidate return.

B13, the apparatus of B10, the time range determination module comprising:

B14, the apparatus according to B8, the apparatus further comprising:

The embodiment of the invention discloses C15, an apparatus for processing a request, comprising a memory, and one or more programs, wherein the one or more programs are stored in the memory, and the one or more programs configured to be executed by the one or more processors comprise instructions for:

displaying the candidate items, and timing the display time;

sending a request in case the timing value is within the time range; the request is for a cloud candidate; the time range is obtained according to historical behavior data corresponding to the candidate items, and the historical behavior data comprises: the method comprises the steps of displaying behavior data on a screen under the condition of displaying candidate items, and/or triggering behavior data aiming at a preset control under the condition of displaying the candidate items; the preset control is used for triggering the display of more candidate items.

C16, the device of C15, the device also configured to execute the one or more programs by one or more processors including instructions for:

and determining a time range according to the mapping relation.

C17, the apparatus of C16, the mapping comprising:

C18, the apparatus of C17, wherein the determining a time range according to the mapping comprises:

and determining a time range according to the first display time.

C19, the apparatus of C17, wherein the determining a time range according to the mapping comprises:

determining a time range according to the second display time and the request processing time length; the request processing duration is used for representing the duration of time from the sending of the request to the return of the cloud candidate.

C20, the apparatus of C17, wherein the determining a time range according to the mapping comprises:

C21, the device of C15, the device also configured to execute the one or more programs by one or more processors including instructions for:

Embodiments of the present invention disclose D22, a machine-readable medium having instructions stored thereon, which when executed by one or more processors, cause an apparatus to perform a request processing method as described in one or more of a 1-a 7.

Other embodiments of the invention will be apparent to those skilled in the art from consideration of the specification and practice of the invention disclosed herein. The invention is intended to cover any variations, uses, or adaptations of the invention following, in general, the principles of the invention and including such departures from the present disclosure as come within known or customary practice within the art to which the invention pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the invention being indicated by the following claims.

It will be understood that the invention is not limited to the precise arrangements described above and shown in the drawings and that various modifications and changes may be made without departing from the scope thereof. The scope of the invention is limited only by the appended claims.

The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents, improvements and the like that fall within the spirit and principle of the present invention are intended to be included therein.

The request processing method, the input device, the device for processing the request, and the machine-readable medium provided by the present invention are described in detail above, and the present invention is described in the principle and the implementation manner by applying specific examples, and the description of the above embodiments is only used to help understand the method of the present invention and the core idea thereof; meanwhile, for a person skilled in the art, according to the idea of the present invention, there may be variations in the specific embodiments and the application scope, and in summary, the content of the present specification should not be construed as a limitation to the present invention.

Claims

1. A method for processing a request, the method comprising:

displaying the candidate items, and timing the display time;

2. The method of claim 1, further comprising:

and determining a time range according to the mapping relation.

3. The method of claim 2, wherein the mapping comprises:

And displaying a second mapping relation between the time and the trigger frequency.

4. The method of claim 3, wherein said determining a time range from said mapping comprises:

and determining a time range according to the first display time.

5. The method of claim 3, wherein determining a time range according to the mapping comprises:

determining a time range according to the second display time and the request processing duration; the request processing time length is used for representing the time length from the request to the cloud candidate return.

6. The method of claim 3, wherein said determining a time range from said mapping comprises:

7. The method of claim 1, further comprising:

8. An input device, comprising:

9. An apparatus for processing a request, comprising a memory, and one or more programs, wherein the one or more programs are stored in the memory, and wherein execution of the one or more programs by one or more processors comprises instructions for:

displaying the candidate items, and timing the display time;

in the case that the timing value is within the time range, sending a request; the request is for a cloud candidate; the time range is obtained according to historical behavior data corresponding to the candidate item, and the historical behavior data comprises: the method comprises the steps of displaying screen behavior data under the condition of displaying candidate items, and/or triggering behavior data aiming at a preset control under the condition of displaying the candidate items; the preset control is used for triggering the display of more candidate items.

10. A machine-readable medium having stored thereon instructions, which when executed by one or more processors, cause an apparatus to perform a request processing method as recited in one or more of claims 1-7.