CN107436896B

CN107436896B - Input recommendation method and device and electronic equipment

Info

Publication number: CN107436896B
Application number: CN201610363268.0A
Authority: CN
Inventors: 姚波怀; 张扬
Original assignee: Beijing Sogou Technology Development Co Ltd
Current assignee: Beijing Sogou Technology Development Co Ltd
Priority date: 2016-05-26
Filing date: 2016-05-26
Publication date: 2022-03-08
Anticipated expiration: 2036-05-26
Also published as: CN107436896A

Abstract

The invention relates to the field of human-computer interaction, and discloses an input recommendation method, device and electronic equipment, which aim to solve the technical problem that vocabularies which are not input by a user but have requirements cannot be provided to the user as candidate items in the prior art. The method comprises the following steps: after the input operation is detected, a first user group to which the user belongs may be determined, and then at least one keyword input by the first user group in a first preset time period is acquired; and finally, acquiring a recommended keyword from at least one keyword and displaying the recommended keyword as a candidate item. Because the recommended keywords are obtained based on the first user group to which the user belongs, and the behaviors and interests of the user and the first user group to which the user belongs have similarity, the keywords input by the first user group are often the keywords which are required by the user, and the vocabulary which is not input by the user but is required by the user can be provided for the user based on the scheme, so that the input efficiency is improved.

Description

Input recommendation method and device and electronic equipment

Technical Field

The invention relates to the field of human-computer interaction, in particular to an input recommendation method and device and electronic equipment.

Background

With the continuous development of scientific technology, electronic technology has been rapidly developed, and the variety of electronic products is increasing, people can enjoy comfortable life brought by the development of science and technology through various types of electronic devices, such as notebook computers, desktop computers, smart phones, tablet computers, and the like, and electronic devices have become an important part in life of people.

At present, when a user uses an input method application program to input characters, if the user repeatedly screens the same word, the input method application program records the word, and when the user inputs the next time, the previously input word preferentially appears. The strategy for adjusting the candidate sequence ordering based on the historical input data of the user can lead the entry ordering of the user who has been on screen for many times to be in front, meet the personalized requirements of the user and improve the preference rate to a certain extent.

However, users often have a need for new words or hot words when inputting, but since there is often no user history input data related to the new words or hot words in the input method program, the input method program cannot recommend candidate items related to the new words or hot words. For example, recently, a new movie "dragon finding pithy" is just shown, since the user has not input the new word "dragon finding pithy" before, the target candidate "dragon finding pithy" of the user usually does not appear as the first candidate or on the first page candidate when the user inputs the pinyin string, and thus, the technical problem that the vocabulary which is not input by the user but has a demand cannot be provided to the user as the candidate in the prior art is solved.

Disclosure of Invention

The invention provides an input recommendation method, an input recommendation device and electronic equipment, and aims to solve the technical problem that vocabularies which are not input by a user but have requirements cannot be provided to the user as candidate items in the prior art.

In a first aspect, an embodiment of the present invention provides an input recommendation method, including:

after the input operation is detected, determining a first user group to which the user belongs;

acquiring at least one keyword input by the first user group in a first preset time period;

and acquiring a recommended keyword from the at least one keyword and displaying the recommended keyword as a candidate item.

Optionally, the determining the first user group to which the user belongs includes:

determining an input purpose of the electronic equipment when the input operation is generated;

determining a first group of users to which the user belongs under the input purpose.

Optionally, the determining the input purpose of the electronic device when the input operation is generated includes:

detecting an input box type for receiving the input operation, and determining the input purpose based on the input box type; and/or

Detecting and receiving the input operation webpage type, and determining the input purpose based on the webpage type; and/or

And detecting the type of an application program for receiving the input operation, and determining the input purpose based on the type of the application program.

Optionally, the obtaining at least one keyword input by the first user group within a first preset time period includes:

detecting and obtaining a character string input through the input operation; searching for the at least one keyword matched with the character string; and/or

Determining an input purpose of the electronic equipment when the input operation is generated; and searching for the at least one keyword matched with the input purpose.

Optionally, the obtaining of the recommended keyword from the at least one keyword and displaying the recommended keyword as a candidate item includes:

determining a priority parameter for providing each keyword to the user based on at least one parameter of a keyword type, a system word frequency, a user word frequency and personal information of the user of each keyword in the at least one keyword;

extracting the recommended keyword from the at least one keyword based on the priority parameter.

searching and obtaining the at least one keyword corresponding to the first user group from the corresponding relationship between the pre-stored user groups and the keywords, wherein the keywords input by each user group in a first preset time period are searched and obtained at intervals of a second preset time interval, and further the corresponding relationship between the user groups and the keywords is obtained; or

Determining at least one user included in the first user group; acquiring a keyword input by each user in the at least one user within the first preset time period; and synthesizing the keywords input by each user to obtain the at least one keyword.

obtaining keywords outside a specific word bank from the at least one keyword and providing the keywords to the electronic equipment; and/or

And obtaining the keywords of which the increment of the input times in the first preset time period meets the preset condition from the at least one keyword, and providing the keywords to the electronic equipment.

Optionally, the method further includes:

acquiring a plurality of sampling users, wherein each sampling user comprises a keyword input by a corresponding sampling user;

obtaining similarity values among the sampling users based on keywords input by each sampling user;

and dividing the plurality of sampling users into user groups respectively based on the similarity values among the sampling users, thereby obtaining at least one user group and the users contained in each user group.

In a second aspect, an embodiment of the present invention provides an input recommendation apparatus, including:

the determining module is used for determining a first user group to which the user belongs after the input operation is detected;

the first acquisition module is used for acquiring at least one keyword input by the first user group in a first preset time period;

and the second acquisition module is used for acquiring the recommended keyword from the at least one keyword and displaying the recommended keyword as a candidate item.

In a third aspect, an embodiment of the present invention provides an electronic device, 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 one or more processors includes instructions for:

The invention has the following beneficial effects:

in the embodiment of the invention, after the input operation is detected, the first user group to which the user belongs can be determined first, and then at least one keyword input by the first user group in a first preset time period is acquired; and finally, acquiring a recommended keyword from at least one keyword and displaying the recommended keyword as a candidate item. Because the recommended keywords are obtained based on the first user group to which the user belongs, and the behaviors and interests of the user and the first user group to which the user belongs have similarity, the keywords input by the first user group are often the keywords which are required by the user, and the vocabulary which is not input by the user but is required by the user can be provided for the user based on the scheme, so that the input efficiency is improved.

Drawings

FIG. 1 is a flow chart of a method for inputting recommendations in an embodiment of the present invention;

FIG. 2 is a flowchart of dividing users into a plurality of user groups in the input recommendation method according to the embodiment of the present invention;

FIG. 3 is a flowchart of obtaining recommended keywords from the at least one keyword in the input recommendation method according to the embodiment of the present invention;

FIG. 4 is a block diagram of an input recommendation device in an embodiment of the present invention;

FIG. 5 is a block diagram illustrating an electronic device implementing a method for input recommendation, according to an example embodiment;

fig. 6 is a schematic structural diagram of a server in an embodiment of the present invention.

Detailed Description

In order to solve the technical problems, the general idea of the embodiment of the present application is as follows:

after the input operation is detected, a first user group to which the user belongs may be determined, and then at least one keyword input by the first user group in a first preset time period is acquired; and finally, acquiring a recommended keyword from at least one keyword and displaying the recommended keyword as a candidate item. Because the recommended keywords are obtained based on the first user group to which the user belongs, and the behaviors and interests of the user and the first user group to which the user belongs have similarity, the keywords input by the first user group are often the keywords which are required by the user, and the vocabulary which is not input by the user but is required by the user can be provided for the user based on the scheme, so that the input efficiency is improved.

In order to better understand the technical solutions of the present invention, the following detailed descriptions of the technical solutions of the present invention are provided with the accompanying drawings and the specific embodiments, and it should be understood that the specific features in the embodiments and the examples of the present invention are the detailed descriptions of the technical solutions of the present invention, and are not limitations of the technical solutions of the present invention, and the technical features in the embodiments and the examples of the present invention may be combined with each other without conflict.

In a first aspect, an embodiment of the present invention provides an input recommendation method, please refer to fig. 1, including:

step S101: after the input operation is detected, determining a first user group to which the user belongs;

step S102: acquiring at least one keyword input by the first user group in a first preset time period;

step S103: and acquiring a recommended keyword from the at least one keyword and displaying the recommended keyword as a candidate item.

For example, the scheme can be applied to electronic equipment with input function, such as: PC, tablet computer, mobile phone, etc., embodiments of the present invention are not limited.

In a specific implementation process, before determining the first user group to which the user (i.e., the current user) of the electronic device belongs based on step S101, at least one user group needs to be obtained by pre-dividing, please refer to fig. 2, the at least one user group can be obtained by dividing in the following manner:

step S201: acquiring a plurality of sampling users, wherein each sampling user comprises a keyword input by a corresponding sampling user;

step S202: obtaining similarity values among the sampling users based on keywords input by each sampling user;

step S203: and dividing the plurality of sampling users into user groups respectively based on the similarity values among the sampling users, thereby obtaining at least one user group and the users contained in each user group.

In step S201, for example, a plurality of users may be obtained as sampling users, and then keywords corresponding to the input of the sampling users are extracted from the historical input records of the sampling users, where all the contents input by the sampling users may be obtained, and then all the contents input by the sampling users are segmented based on the system lexicon to obtain the keywords input by the sampling users; in addition, after the sampling user inputs the character strings, the sampling user may select characters included in each character string, and further determine a keyword, for example: if the user needs to input the "find dragon formula", he may input pinyin "xunlongjue" first, if the keyword "find dragon formula" does not exist in the system, he may first select the corresponding text "find" based on the pinyin "xun", then select the corresponding text "dragon" based on the pinyin "long", and finally determine the keyword "find dragon formula", then click a confirmation button (for example, a space bar key), and input the keyword "find dragon formula", etc., of course, the keyword input by the user may be determined by other means, which is not listed in detail in the embodiments of the present invention and is not limited.

The multiple users may correspond to different electronic devices, and besides extracting and sampling the keywords input by the users, information such as the number of times, time, location, input environment where the users input the keywords (for example, the type of the currently used application program, the type of the input box, the type of the web page, and the like) may also be extracted, and embodiments of the present invention are not limited. The more the number of the sampling users is, the more accurate the subsequent division of the user group is, and if the number of the sampling users is less, the processing load of the device can be reduced.

The dividing operation for the user group may be executed locally in the electronic device, or each user group and users included in each user group may be divided in advance by the server and then sent to the electronic device.

In step S202, for each sampling user, a corresponding user feature vector may be obtained based on the keyword input by the sampling user, and then a similarity value between the sampling users is calculated through the user feature vectors of the sampling users.

For example, after obtaining keywords input by each sampling user, all included keywords may be extracted, and then the keywords are randomly ordered, where each keyword corresponds to one number (1 to N, N is a positive integer), and further, for each sampling user, a value of an nth dimensional feature of a user feature vector may be determined based on whether the corresponding sampling user inputs an nth (N is an integer from 1 to N) keyword or the number of times of inputting the nth keyword, for example: if the corresponding sampling user inputs the nth keyword, the value of the nth dimensional feature of the user feature vector is 1, and if the corresponding sampling user does not input the nth keyword, the value of the nth dimensional feature of the user feature vector is 0; for another example, if the sampling user inputs the nth keyword for 5 times, the value of the nth dimensional feature of the user feature vector is 5, and if the sampling user inputs the nth keyword for 1 time, the value of the nth dimensional feature of the user feature vector is 1, and so on.

In addition, in a specific implementation process, the normalized frequency of the nth keyword input by the corresponding sampling user may also be used as a value of the nth dimensional feature of the user feature vector, and as to what sampling method to determine the user feature vector of the sampling user, the embodiment of the present invention is not listed in detail and is not limited.

In step S202, the similarity value between two sampling users can be determined in various ways, and two of them are listed below for description, but of course, in the specific implementation process, the similarity value is not limited to the following two cases.

The similarity value of two sampling users is determined: the similarity value between the user feature vectors of two sampling users is directly calculated through a similarity value calculation formula, wherein the similarity value calculation formula is as follows: cosine similarity calculation formula, pearson similarity value calculation formula, adjusted cosine similarity formula, and the like.

Determining the similarity value of two sampling users: calculating a distance value between the user feature vectors of the two sampling users through a distance value calculation formula, and then taking the reciprocal of the distance value to obtain a similarity value of the user feature vectors of the two sampling users, wherein the distance value calculation formula is as follows: euclidean distance calculation formula, minkowski distance calculation formula, manhattan distance calculation formula, and the like.

In step S203, each sampling user may be divided into at least one user group by clustering through the similarity value between each sampling user, where the category of the user group may be preset when each sampling user is clustered, or at least one user group may be divided during the clustering process, which is not limited in the embodiment of the present invention.

In a specific implementation process, different input scenes of the sampling user can be obtained firstly, the input purpose of the sampling user is determined based on the different input scenes, the keywords corresponding to the input of the sampling user are obtained respectively according to the different input purposes, and then the users included in each user group under the different input purposes are obtained finally, wherein the users included in the same user group may not be the same under the different input purposes.

In step S101, the first user group to which the current user belongs may be determined in various ways, and two of them are listed below for description, which is not limited to the following two cases in the specific implementation process.

First, the user identifier (e.g., user ID, MAC address of the electronic device, etc.) of the current user may be matched with the user identifiers included in each user group, so as to determine the first user group to which the current user belongs.

If the current user is one of the sampling users, when at least one user group and users included in each user group are obtained, the user groups of the current user are already divided, so that the first user group to which the current user belongs can be directly searched and obtained in each user group.

Based on the scheme, the rate of determining the first user group to which the current user belongs can be increased, and further the rate of recommending the candidate items meeting the input requirements of the current user is increased.

Secondly, determining the first user group to which the current user belongs based on the similarity value of the user feature vectors of the current user and the users of each user group, in this case, a plurality of ways may be adopted, and some of them are listed below for introduction, of course, in the specific implementation process, the method is not limited to the following cases.

The way of determining the first user group is: firstly, obtaining a user feature vector of a current user, and then calculating a similarity value between the user feature vector and the user feature vectors of all users contained in all user groups; and determining a user group where the user with the highest similarity value with the current user is located as a first user group where the current user is located. Whether the current user is the sampling user or not can be determined through the scheme, and the user group to which the user belongs can be determined.

The mode of determining the first user group is two: firstly, obtaining a user feature vector of a current user; then, average user feature vectors of each user group are obtained, for example, values of the nth (N is an integer from 1 to N) position in the user feature vectors of a certain user group can be added, and then the values are divided by the number of users, so that the average value of the nth position in the average user feature vectors can be obtained; and finally, calculating the similarity value of the user feature vector of the current user and the average feature vector of each user group, and taking the user group with the highest similarity value with the current user as the first user group.

Determining a first user group by: firstly, obtaining a user feature vector of a current user, and then calculating a similarity value between the user feature vector and the user feature vectors of all users contained in all user groups; then, an average value of similarity values between the user feature vectors of the user groups and the current user is calculated, for example: for a certain user group, the similarity values of all the users contained in the user group and the current user can be added, and then the average value of the similarity values can be obtained by dividing the sum by the number of the users; and finally, obtaining a user group with the highest average value of the similarity values with the current user as a first user group.

By the scheme, the user group to which the user belongs can be determined for any user, so that the application range of the user group is wider.

In addition, in the implementation process, the two modes can also be combined for use, for example: firstly, searching in each user group through the user identification of the current user to judge whether the user identification is located in the user identification contained in the specific user group, wherein if the user identification is located in the user identification contained in the specific user group, the specific user group is a first user group; and if the user identification is not located in the user identifications contained in any user group, determining the user group of the current user through the user feature vector of the current user.

In step S101, if there are different input purposes when the users included in each user group are obtained in advance, the determining the first user group includes: determining an input purpose of the electronic equipment when the input operation is generated; determining a first group of users to which the user belongs under the input purpose.

In the specific implementation process, the input purpose of the electronic device can be determined in various ways, and some of them are listed below for description, of course, in the specific implementation process, the following cases are not limited, and in addition, in the case of no conflict, the following cases can be used in combination.

First, the determining an input purpose of the electronic device when the input operation is generated includes: and detecting the type of an input box for receiving the input operation, and determining the input purpose based on the type of the input box.

For example, the input box may include multiple types of input boxes, such as: an input box for receiving a password, an input box for receiving a user name, an input box for receiving a search keyword, etc., which in turn for example comprises: the method comprises the steps of receiving an input box of a keyword of a music search, receiving an input box of a keyword of a video search, receiving an input box of a keyword of a web search, and the like, wherein a web page source code can be obtained firstly, then a name of the corresponding input box can be obtained through the web page source code, and then the type of the corresponding input box can be determined through the name of the corresponding input box. Wherein, if the input box type is an input box for receiving keywords of a music search, the input purpose is, for example: music, if the input box type is an input box for receiving a keyword for a video search, the input purpose is, for example: video, if the input box type is an input box for receiving keywords of a web search, the input purpose is, for example: web pages, etc., although other input box types and input purposes are possible, embodiments of the present invention are not illustrated in detail and are not intended to be limiting.

Secondly, the determining of the input purpose of the electronic device when the input operation is generated comprises: and detecting the webpage type of the received input operation, and determining the input purpose based on the webpage type.

For example, the types of web pages include, for example: shopping types, video types, music types, e-book types, dining types, etc., embodiments of the present invention are not limited. The domain name of the web page receiving the input operation may be obtained, and then the web page type is determined by the domain name, for example: if the domain name contains the key information of "you ku", it is stated that the webpage type may be a video type; for another example, if the domain name includes the key information "5 sing", it indicates that the type of the web page may be a music type, etc., and of course, the determined type of the web page is different based on the difference of the key information, and therefore, the embodiment of the present invention is not illustrated in detail and is not limited.

Third, the determining an input purpose of the electronic device when the input operation is generated includes: and detecting the type of an application program for receiving the input operation, and determining the input purpose based on the type of the application program.

For example, if the current electronic device is a handheld mobile terminal (e.g., a mobile phone, a tablet computer, etc.), various applications are often installed on the handheld mobile terminal, and the current user uses the handheld mobile terminal through the installed various applications, in which case, different applications may be used for different purposes of use, and thus the purpose of input generated by the user is different. Thus, the type of application that receives the input operation may be used to determine the input purpose, such as: if the application type is music type (e.g., cool dog, thousand times listen, etc.), it may be determined that the input purpose is: music; if the application is of a video type (e.g., fox video, hundredth video, etc.), then it may be determined that the input purpose is: video; if the application is of an ebook type (e.g., panda reading, QQ reading, etc.), then it may be determined that the input purpose is: e-books, etc., and of course, the determined input purpose is different according to the type of music program, and thus, the embodiment of the present invention is not illustrated in detail and is not limited thereto.

After the input purpose of the current user is determined, a user group corresponding to the input purpose and users included in the user group can be searched and obtained, and then a first user group to which the current user belongs can be obtained by searching in each user group through the user identification of the current user.

Still alternatively, after the input purpose of the current user is determined, the keyword input by the user at the corresponding input purpose may be determined, the user feature vector of the user is obtained based on the keyword input by the user at the corresponding input purpose, and then the first user group to which the user belongs is obtained through the user feature vector.

In step S102, the first preset time period is, for example: 1 month, half month, 1 week, etc., and the present examples are not intended to be limiting.

In a specific implementation process, at least one keyword input by the first user group in the first preset time period may be obtained in various ways, and two of the keywords are listed below for introduction, but of course, in the specific implementation process, the keyword is not limited to the following two cases.

The first step of acquiring at least one keyword input by the first user group within a first preset time period includes:

For example, the at least one user included in the first user group is, for example: after obtaining keywords input by each user within a first preset time period, the keywords input by each user are integrated, so that all the keywords input by at least one user and the input times of each keyword in the first user group can be used as at least one keyword, and the input times of the keywords in the first N digits (e.g., 100, 200, etc.) can be obtained from all the keywords as at least one keyword.

According to the scheme, at least one keyword input by the first user group is obtained in real time, so that the determined at least one keyword is accurate.

Secondly, the acquiring at least one keyword input by the first user group in a first preset time period includes: and searching and obtaining the at least one keyword corresponding to the first user group from the pre-stored corresponding relationship between the user groups and the keywords, wherein the keywords input by each user group in a first preset time period are searched and obtained at intervals of a second preset time interval, and further the corresponding relationship between the user groups and the keywords is obtained.

For example, the second predetermined time interval is, for example: 1 day, 2 days, etc., and the examples of the present invention are not limited. That is, every second preset time interval, the keyword corresponding to each user group may be obtained for each user group and then stored. And then after determining a first user group to which the user of the electronic device belongs, directly searching in the corresponding relation through the first user group to obtain at least one keyword corresponding to the user.

In step S102, at least one keyword input by the first user group in the first preset time period may be obtained at multiple occasions, and then the principle of determining the at least one keyword is different, two of the keywords are listed below for introduction, but of course, in the specific implementation process, the two cases are not limited to the following two cases, and in addition, under the condition of no conflict, the two cases may be used in combination.

The first step of acquiring at least one keyword input by the first user group within a first preset time period includes: detecting and obtaining a character string input through the input operation; and searching for the at least one keyword matched with the character string.

For example, assuming that user a likes to see american science fiction, recently movie theaters show american science fiction "revenge league 2", user a did not enter the keyword "revenge league 2", but other users who also like to see american science fiction might enter "revenge league 2", in which case "revenge league 2" could be used as at least one keyword if user a entered the string "fczlm" by an input operation.

According to the scheme, after the character string input through the input operation is detected, the at least one keyword corresponding to the character string is searched and obtained, so that the determined at least one keyword is more accurate.

Secondly, the acquiring at least one keyword input by the first user group in a first preset time period includes: determining an input purpose of the electronic equipment when the input operation is generated; and searching for the at least one keyword matched with the input purpose.

For example, assuming that it is detected that the current user opens a movie-related APP and invokes an input method application to generate an input operation, in this case, it may be determined that the corresponding input purpose is: the movie, in this case, does not need to wait for the current user to enter a character string, and directly takes the "revenge alliance 2" as the at least one keyword.

According to the scheme, when the current user does not input the character string, at least one keyword corresponding to the input purpose can be obtained, and then the recommended keyword is determined by the at least one keyword, so that the recommended keyword can be generated more timely.

In step S103, acquiring a recommended keyword from the at least one keyword and displaying the recommended keyword as a candidate item, please refer to fig. 3, which includes:

step S301: determining a priority parameter for providing each keyword to the user based on at least one parameter of a keyword type, a system word frequency, a user word frequency and personal information of the user of each keyword in the at least one keyword;

step S302: extracting the recommended keyword from the at least one keyword based on the priority parameter.

In step S301, the keyword types are, for example: video, music, e-book, etc., embodiments of the present invention are not limited. Wherein, if the keyword type is matched with the input purpose, the priority of the corresponding keyword is higher, and if the keyword type is not matched with the input purpose, the priority of the corresponding keyword is lower.

The system word frequency is, for example: the keyword gives the number of times of input by all users in the whole system, wherein in the case of only referring to the system word frequency, the higher the system word frequency is, the higher the priority thereof is.

The user word frequency is, for example: the number of times of inputting the keyword by the current user, wherein in the case of only referring to the word frequency of the user, the higher the word frequency of the user is, the higher the priority of the word frequency of the user is.

The personal information of the user is, for example: hobbies, gender, age, etc. The interest includes, for example: when the corresponding keywords correspond to the interests and hobbies of the user, the priorities of the corresponding keywords can be improved, otherwise, the priorities of the corresponding keywords can be reduced. For example: if the interest of a certain user is science fiction, the priority level provided for the user by the keyword revenge alliance 2 can be improved; for another example, the interest and hobbies of a certain user are speaking, the priority level provided for the user by the keyword revenge league 2 can be reduced, and the like, and the priority level of other personal information is determined in a similar manner, which is not described herein again.

In step S302, after determining the priority parameter for providing each keyword to the user based on step S301, the keywords may be ranked from high to low according to priority, and then the keywords with the priority parameters located in the first few digits (e.g., 10, 20, etc.) are obtained as the finally determined at least one keyword; keywords with priority levels greater than a preset value (e.g., 5, 7, etc.) may also be obtained as the at least one finally determined keyword, and of course, the at least one keyword may also be determined in other ways.

In step S103, when obtaining the recommended keyword, the recommended keyword may be determined for vocabularies included in all the word libraries, or vocabularies meeting specific requirements may be obtained as the recommended keyword, and two specific requirements are listed below for introduction, which is, of course, not limited to the following two cases in the specific implementation process. In addition, in the case of no conflict, the following two cases may be used in combination.

The first method, acquiring a recommended keyword from the at least one keyword and presenting the recommended keyword as a candidate item, includes: and obtaining keywords which are positioned outside the specific word bank from the at least one keyword and providing the keywords to the electronic equipment.

The specific lexicon is for example: a system thesaurus, a user thesaurus of the current user, etc. When at least one keyword input by the first user group is obtained based on step S102, all keywords input by the first user group may be obtained first, and then keywords outside the specific word bank may be screened from the obtained keywords; then obtaining at least one keyword from the keywords outside the specific word bank; or, when the at least one keyword obtained in step S102 is not screened by the specific thesaurus, but a keyword outside the specific thesaurus is obtained from the at least one keyword as the recommended keyword in step S103 based on the specific thesaurus, and of course, as to how and at what time the keyword is screened by the specific thesaurus, the embodiment of the present invention is not listed in detail and is not limited.

Through the scheme, the new words input recently by the first user group can be provided for the current user.

Secondly, the obtaining of the recommended keyword from the at least one keyword and the displaying of the recommended keyword as a candidate item includes: and obtaining the keywords of which the input times increment in the first preset time period is more than the preset amount from the at least one keyword and providing the keywords to the electronic equipment.

For example, the increment of the input times satisfies the preset condition such as: the increment of the input times is larger than a preset amount (for example, 20, 30, and the like), the sequence of the increment of the input times is positioned at the first few bits (for example, the first 5 bits, the first 10 bits, and the like), and the like, wherein if the increment of the input times meets a preset condition, it is often indicated that the corresponding keyword is a hotword input recently by the first user group, and then the probability that the current user needs to input the corresponding keyword is also high, so that the current user is provided with the corresponding keyword as a recommended keyword.

Through the scheme, the hotword input recently by the first user group can be provided for the current user.

In a second aspect, based on the same inventive concept, an embodiment of the present invention provides an input recommendation apparatus, please refer to fig. 4, including:

a determining module 40, configured to determine, after detecting the input operation, a first user group to which the user belongs;

a first obtaining module 41, configured to obtain at least one keyword input by the first user group within a first preset time period;

and a second obtaining module 42, configured to obtain a recommended keyword from the at least one keyword, and show the recommended keyword as a candidate item.

Optionally, the determining module 40 includes:

a first determination unit for determining an input purpose of the electronic apparatus at the time of generating the input operation;

a second determining unit configured to determine a first user group to which the user belongs under the input purpose.

Optionally, the first determining unit is configured to:

Optionally, the first obtaining module 41 is configured to:

Optionally, the second obtaining module 42 includes:

a third determining unit, configured to determine a priority parameter for providing each keyword to the user based on at least one parameter of a keyword type, a system word frequency, a user word frequency, and personal information of the user of each keyword in the at least one keyword;

an extracting unit, configured to extract the recommended keyword from the at least one keyword based on the priority parameter.

Optionally, the first obtaining module 41 is configured to:

Optionally, the second obtaining module 42 is configured to:

Optionally, the apparatus further comprises:

the third acquisition module is used for acquiring a plurality of sampling users, and each sampling user comprises a keyword input by the corresponding sampling user;

the acquisition module is used for acquiring similarity values among the sampling users based on the keywords input by the sampling users;

and the dividing module is used for dividing the plurality of sampling users into user groups respectively based on the similarity values among the sampling users so as to obtain at least one user group and the users contained in each user group.

Since the apparatus described in the second aspect of the embodiment of the present invention is an apparatus used for implementing the input recommendation method described in the first aspect of the embodiment of the present invention, based on the input recommendation method described in the first aspect of the embodiment of the present invention, a person skilled in the art can understand the specific structure and the modification of the apparatus described in the second aspect of the embodiment of the present invention, and therefore, no further description is given here, and all apparatuses used for implementing the input recommendation method described in the first aspect of the embodiment of the present invention belong to the scope of the embodiments of the present invention to be protected.

In a third aspect, based on the same inventive concept, an embodiment of the present invention provides an electronic device, 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, and the one or more programs include instructions for:

Since the electronic device described in the third aspect of the embodiment of the present invention is an electronic device used for implementing the input recommendation method described in the first aspect of the embodiment of the present invention, based on the input recommendation method described in the first aspect of the embodiment of the present invention, a person skilled in the art can understand a specific structure and a modification of the electronic device described in the third aspect of the embodiment of the present invention, and therefore details are not described here, and all electronic devices used for implementing the input recommendation method described in the first aspect of the embodiment of the present invention belong to the scope to be protected by the embodiment of the present invention.

With regard to the electronic device 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.

FIG. 5 is a block diagram illustrating an electronic device 800 that inputs a recommendation method in accordance with an example embodiment. For example, the electronic device 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. 5, electronic device 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 electronic 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 can 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 the electronic 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 or 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.

The power supply component 806 provides power to the various components of the electronic 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 electronic device 800.

The multimedia component 808 includes a screen that provides an output interface between the electronic 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 camera and/or the rear camera may receive external multimedia data when the electronic device 800 is in an operation 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, the audio component 810 includes a Microphone (MIC) configured to receive external audio signals when the electronic device 800 is in an operational mode, such as a call mode, a recording mode, and a voice recognition 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 electronic device 800. For example, the sensor assembly 814 may detect an open/closed state of the device 800, the relative positioning of components, such as a display and keypad of the electronic device 800, the sensor assembly 814 may also detect a change in the position of the electronic device 800 or a component of the electronic device 800, the presence or absence of user contact with the electronic device 800, orientation or acceleration/deceleration of the electronic device 800, and a change in the temperature of the electronic device 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 wired or wireless communication between the electronic device 800 and other devices. The electronic 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 a broadcast signal or broadcast associated information from an external broadcast management system via a broadcast channel. In an exemplary embodiment, the communications 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 electronic device 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 electronic 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.

A non-transitory computer readable storage medium in which instructions, when executed by a processor of an electronic device, enable the electronic device to perform a method of input recommendation, the method comprising:

Fig. 6 is a schematic structural diagram of a server in an embodiment of the present invention. The server 1900 may vary widely by configuration or performance and 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.

One or more embodiments of the invention have at least the following beneficial effects:

in the embodiment of the invention, after the input operation is detected, the first user group to which the user belongs can be determined first, and then at least one keyword input by the first user group in a first preset time period is acquired; and finally, acquiring a recommended keyword from the at least one keyword and providing the recommended keyword for the user. Because the recommended keywords are obtained based on the first user group to which the user belongs, and the behaviors and interests of the user and the first user group to which the user belongs have similarity, the keywords input by the first user group are often the keywords which are required by the user, and the vocabulary which is not input by the user but is required by the user can be provided for the user based on the scheme, so that the input efficiency is improved.

The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.

These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.

These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.

While preferred embodiments of the present invention have been described, additional variations and modifications in those embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. Therefore, it is intended that the appended claims be interpreted as including preferred embodiments and all such alterations and modifications as fall within the scope of the invention.

It will be apparent to those skilled in the art that various changes and modifications may be made in the present invention without departing from the spirit and scope of the invention. Thus, if such modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include such modifications and variations.

Claims

1. An input recommendation method, comprising:

obtaining a recommended keyword from at least one keyword input by the first user group in a first preset time period, and displaying the recommended keyword as a candidate item, wherein the recommended keyword comprises: acquiring a keyword, the increment of the input times of which in the first preset time period meets a preset condition, from the at least one keyword, and providing the keyword to the electronic equipment;

wherein the determining the first user group to which the user belongs comprises: determining an input purpose of the electronic equipment when the input operation is generated, determining a keyword input by a user under the corresponding input purpose, obtaining a user characteristic vector of the user based on the keyword input by the user under the corresponding input purpose, and determining a first user group to which the user belongs under the input purpose through the user characteristic vector;

wherein the determining an input purpose of the electronic device when the input operation is generated comprises: and determining the input purpose based on the input box type and/or the webpage type and/or the application program type of the input operation.

2. The method of claim 1, wherein the obtaining at least one keyword entered by the first group of users within a first preset time period comprises:

3. The method of claim 1, wherein said obtaining recommended keywords from said at least one keyword and presenting them as candidates comprises:

4. The method of any one of claims 1-3, wherein the obtaining at least one keyword entered by the first group of users within a first preset time period comprises:

5. The method of any one of claims 1 to 3, wherein said obtaining a recommended keyword from said at least one keyword and presenting the recommended keyword as a candidate comprises:

and obtaining keywords which are positioned outside the specific word bank from the at least one keyword and providing the keywords to the electronic equipment.

6. The method of any of claims 1-3, wherein the method further comprises:

7. An input recommendation device, comprising:

the second obtaining module is used for obtaining a recommended keyword from at least one keyword input by the first user group in a first preset time period and displaying the recommended keyword as a candidate item, and comprises: acquiring a keyword, the increment of the input times of which in the first preset time period meets a preset condition, from the at least one keyword, and providing the keyword to the electronic equipment;

wherein the determining module comprises:

the first determining unit is used for determining the input purpose of the electronic equipment when the input operation is generated, and specifically comprises the following steps: determining the input purpose based on the input box type and/or the webpage type and/or the application program type of the input operation;

a second determination unit configured to determine a first user group to which the user belongs under the input purpose, including: determining an input purpose of the electronic equipment when the input operation is generated, determining a keyword input by a user under the corresponding input purpose, obtaining a user characteristic vector of the user based on the keyword input by the user under the corresponding input purpose, and determining a first user group to which the user belongs under the input purpose through the user characteristic vector.

8. The apparatus of claim 7, wherein the first obtaining module is to:

9. The apparatus of claim 7, wherein the second obtaining module comprises:

10. The apparatus of any one of claims 7 to 9, wherein the first obtaining module is configured to:

11. The apparatus of any one of claims 7 to 9, wherein the second obtaining module is configured to:

12. The apparatus of any of claims 7 to 9, further comprising:

13. An electronic device comprising a memory, and one or more programs, wherein the one or more programs are stored in the memory and configured to be executed by one or more processors the one or more programs including instructions for:

14. A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, is adapted to carry out the method steps of any of claims 1 to 6.