CN110989847B - Information recommendation method, device, terminal equipment and storage medium - Google Patents
Information recommendation method, device, terminal equipment and storage medium Download PDFInfo
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
- G06F3/01—Input arrangements or combined input and output arrangements for interaction between user and computer
- G06F3/02—Input arrangements using manually operated switches, e.g. using keyboards or dials
- G06F3/023—Arrangements for converting discrete items of information into a coded form, e.g. arrangements for interpreting keyboard generated codes as alphanumeric codes, operand codes or instruction codes
- G06F3/0233—Character input methods
- G06F3/0237—Character input methods using prediction or retrieval techniques
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- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/95—Retrieval from the web
- G06F16/953—Querying, e.g. by the use of web search engines
- G06F16/9535—Search customisation based on user profiles and personalisation
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
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- G06F3/01—Input arrangements or combined input and output arrangements for interaction between user and computer
- G06F3/02—Input arrangements using manually operated switches, e.g. using keyboards or dials
- G06F3/023—Arrangements for converting discrete items of information into a coded form, e.g. arrangements for interpreting keyboard generated codes as alphanumeric codes, operand codes or instruction codes
- G06F3/0233—Character input methods
- G06F3/0236—Character input methods using selection techniques to select from displayed items
Abstract
The embodiment of the invention discloses an information recommendation method, an information recommendation device, terminal equipment and a storage medium, wherein the method comprises the following steps: when an input method is called for information input, acquiring target information input from an input method interface; receiving a first input operation on an input method interface; in response to the first input operation, a recommendation interface is displayed, the recommendation interface including at least one candidate information related to the target information acquired in the user behavior database. The method and the device solve the problem that in the prior art, candidate words recommended by an input method are single, and user experience is affected.
Description
Technical Field
The embodiment of the invention relates to the technical field of terminals, in particular to an information recommendation method, an information recommendation device, terminal equipment and a storage medium.
Background
With the development and popularization of terminal technology, more and more terminal devices have become an indispensable communication tool in life. Most of the operations and functions of the terminal device are built on the input method, so that the input method gradually becomes a language necessary for the user to communicate with the terminal device.
At present, input methods are various in application types and tend to be diversified in functions. In some scenarios, the input method interface may provide some candidate words for selection by the user, such that the user may reduce the user's input by selecting these candidate words. However, the user may use the terminal device in different scenarios, and the candidate words recommended by the input method are generally words historically input by the user or current hot words, so that the recommended candidate words are basically fixed, resulting in single candidate words recommended by the terminal device and affecting the user experience.
Disclosure of Invention
The embodiment of the invention provides an information recommendation method, an information recommendation device, terminal equipment and a storage medium, which are used for solving the problem that user experience is affected due to single candidate vocabulary recommended by an input method in the prior art.
In order to solve the technical problems, the invention is realized as follows:
in a first aspect, an embodiment of the present invention provides an information recommendation method, where the method includes:
when an input method is called for information input, acquiring target information input from an input method interface;
receiving a first input operation on an input method interface;
in response to the first input operation, a recommendation interface is displayed, the recommendation interface including at least one candidate information related to the target information acquired in the user behavior database.
In a second aspect, an embodiment of the present invention provides an information recommendation apparatus, including:
the acquisition module is used for acquiring target information input from an input method interface when the input method is called for information input;
the receiving and transmitting module is used for receiving a first input operation on an input method interface;
and the first display module is used for responding to the first input operation and displaying a recommendation interface, and the recommendation interface comprises at least one candidate information related to the target information, which is acquired in the user behavior database.
In a third aspect, an embodiment of the present invention provides a terminal device, including a processor, a memory, and a computer program stored on the memory and executable on the processor, the computer program implementing the steps in the information recommendation method as shown in the first aspect when executed by the processor.
In a fourth aspect, there is provided a computer readable storage medium having stored thereon a computer program which, when executed by a processor, implements the steps of the information recommendation method as shown in the first aspect.
In the embodiment of the invention, when the input method is called to input information, the target information input from the input method interface can be acquired, the first input operation on the input method interface is received, namely, the information recommending function is started, the recommending interface is displayed, and the recommending interface comprises at least one candidate information related to the target information, which is acquired in a user behavior database, wherein the user behavior database comprises information such as communication information, multimedia information browsed and/or downloaded by a user, system information, historical target recommending information and the like. Therefore, on one hand, the efficiency of information input is greatly improved while the user is ensured to quickly quote the target recommendation information; on the other hand, the input method can be used for recommending information according to user behavior data besides recommending information based on words input by the user history, so that recommended information is more close to the habit of the user, and the user experience is improved.
Drawings
The invention will be better understood from the following description of specific embodiments thereof taken in conjunction with the accompanying drawings in which like or similar reference characters designate like or similar features.
Fig. 1 is an application scenario schematic diagram of an information recommendation method provided in an embodiment of the present invention;
FIG. 2 is a flowchart of an information recommendation method according to an embodiment of the present invention;
FIG. 3 is a flowchart illustrating an implementation process of an information recommendation method according to an embodiment of the present invention;
FIG. 4 is a schematic diagram of an input method interface according to an embodiment of the present invention;
FIG. 5 is a schematic diagram of another input method interface according to an embodiment of the present invention;
FIG. 6 is a schematic diagram of a recommendation interface according to an embodiment of the present invention;
fig. 7 is a schematic structural diagram of an information recommendation device according to an embodiment of the present invention;
fig. 8 is a schematic hardware structure of a terminal device according to an embodiment of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and fully with reference to the accompanying drawings, in which it is evident that the embodiments described are some, but not all embodiments of the invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Aiming at the problems in the related art, the embodiment of the invention provides an information recommendation method, an information recommendation device, terminal equipment and a storage medium, so as to solve the problems that candidate vocabulary recommended by an input method in the prior art is single and user experience is affected.
The information recommendation method provided by the embodiment of the invention can be applied to various application scenes, and is described below with reference to fig. 1.
Fig. 1 is an application scenario schematic diagram of an information recommendation method provided in an embodiment of the present invention.
As shown in fig. 1, the user behavior database may be generated by automatically recording communication information of the user, multimedia information (e.g., reading content of the user in life, work, study), system information, and historical target recommendation information, which are browsed and/or downloaded by the user. When the user wants to refer to the reading content in life, work and study and/or the content which is watched in the history of the user want to refer to, acquiring information (such as keywords) input from the input method interface 10, further, receiving a first input operation (such as a gesture, a key or an input symbol # operation) of inputting target information by the user on the input method interface, starting a function of referring to a context environment according to the first input operation, displaying a recommendation interface 20, and searching candidate information by the user through the prompt content in the recommendation interface based on at least one candidate information related to the target information; and then, receiving a second input operation of determining target recommendation information in at least one candidate information by the user, and responding to the second input operation, and displaying the target recommendation information on an input method interface.
Therefore, when the input method is called to input information, target information input from the input method interface is acquired, a first input operation on the input method interface, namely, an information recommendation function is started, the recommendation interface is displayed, and the recommendation interface comprises at least one candidate information related to the target information, which is acquired in the user behavior database. Therefore, on one hand, the efficiency of information input is greatly improved while the user is ensured to quickly quote the target recommendation information; on the other hand, the input method can be used for recommending information according to user behavior data besides recommending information based on words input by the user history, so that recommended information is more close to the habit of the user, and the user experience is improved.
In addition, the method can automatically record communication information of the user, multimedia information (such as reading content of the user in life, work and study), system information and historical target recommendation information of the user, generate a user behavior database, and then recommend information by an input method based on the user behavior database, so that the method can be used for arranging scenes of relevant knowledge points and similar content points in user behavior data, is convenient for the user to comprehensively analyze own historical behavior data, enables the user to more quickly summarize the knowledge points and automatically cluster to form own knowledge patterns, and solves the problems that people forget after reading and want to use the information for a long time.
Based on the application scenario, that is, the application scenario that the user wants to reference the reading content in life, work and study and/or the content that the user wants to reference in history, the method can be applied to at least one of the following application scenarios:
(1) When a user wants to reference a certain book or sentence in the experience process which is browsed once;
(2) When a user reads an article, the user wants to quote one or more sentences in the article;
(3) When a user views a picture and wants to refer to the content in the picture;
(4) When a user wants to refer to a segment of bullet screen information or a line in a video or a television play while watching the bullet screen information or the line.
Based on the above at least one application scenario, the information recommendation method provided by the embodiment of the present invention is further described below with reference to fig. 2.
Fig. 2 is a flowchart of an information recommendation method according to an embodiment of the present invention.
As shown in fig. 2, the information pushing method may specifically include steps 210 to 230, where the specific contents are as follows:
step 210, when the input method is called to input information, acquiring target information input from an input method interface.
Step 220, receiving a first input operation on an input method interface.
Here, the first input operation may include at least one of: gesture operation of a user, triggering of an entity or virtual key, and input of preset characters (e.g., # symbols).
In response to the first input operation, a recommendation interface is displayed, the recommendation interface including at least one candidate information related to the target information obtained in the user behavior database, step 230.
Wherein the recommendation interface includes at least one of the following:
a keyword input area, a limiting condition input area, a tag information display area and a candidate information display area; wherein,
a keyword input area for displaying target information;
a limiting condition input area for displaying additional condition information limiting the target information; wherein the additional condition information comprises user-entered accessory condition information and/or selectable accessory condition information generated based on a user behavior database;
a tag information display area for displaying at least one tag information related to the target information, the tag information being for matching at least one candidate information from the user behavior database;
and a candidate information display area for displaying at least one candidate information including information matched according to at least one of the target information, the additional condition information, and the tag information in the user behavior database.
Based on this, at least one candidate information provided by the embodiment of the present invention may be sequentially displayed in the candidate information display area according to the order of the matching degree and/or the priority from high to low, and the following descriptions are respectively given below:
(1) And sequentially displaying the candidate information display areas in the order from high to low in the matching degree.
Acquiring a first matching degree of candidate information related to the target information, a second matching degree of candidate information related to the target information and the additional condition information and a third matching degree of candidate information related to the target information, the additional condition information and the tag information from a user behavior database;
sequentially displaying at least one candidate information related to the target information in the order from the third matching degree, the second matching degree to the first matching degree;
the first matching degree is smaller than the second matching degree, and the second matching degree is smaller than the third matching degree.
It should be noted that, based on this possibility, the above-mentioned recommendation interface includes a keyword input area, a limitation condition input area, a tag information display area, and a candidate information display area.
(2) And sequentially displaying the candidate information display areas in the order of the priority from high to low.
Acquiring at least one piece of candidate information related to the target information from a user behavior database, wherein each piece of candidate information in the at least one piece of candidate information carries at least one piece of tag information, and a weight value corresponding to the tag information is related to the priority;
respectively calculating the total weight value of each piece of candidate information;
and sequentially displaying at least one candidate information related to the target information in the order of the total weight value from high to low.
Additionally, in one possible embodiment, prior to step 230, the method may further comprise:
acquiring user behavior data; generating a user behavior database according to the user behavior data; wherein the user behavior data comprises at least one of: communication information of a user, multimedia information browsed and/or downloaded by the user, system information and historical target recommendation information.
In another possible embodiment, after the above steps, the information recommendation method may further include:
receiving a second input operation of determining target recommendation information in the at least one candidate information;
and responding to the second input operation, and displaying target recommendation information on an input method interface.
In yet another possible embodiment, after the above steps, the information recommendation method may further include: and storing the target recommendation information into a user behavior database.
Therefore, in the embodiment of the invention, when the input method is called to input information, the target information input from the input method interface can be acquired, the first input operation on the input method interface, namely, the information recommendation function is started, is received, the recommendation interface is displayed, the recommendation interface comprises at least one candidate information related to the target information, which is acquired in the user behavior database, wherein the user behavior database comprises information such as communication information, multimedia information browsed and/or downloaded by a user, system information, historical target recommendation information and the like. Therefore, on one hand, the efficiency of information input is greatly improved while the user is ensured to quickly quote the target recommendation information; on the other hand, the input method can be used for recommending information according to user behavior data besides recommending information based on words input by the user history, so that recommended information is more close to the habit of the user, and the user experience is improved.
In order to facilitate understanding of the method provided by the embodiment of the present invention, based on the foregoing, a scenario in which a user wants to refer to a reading content in life, work, and study is taken as an example, and an information recommendation method provided by the embodiment of the present invention is illustrated below.
Fig. 3 is a flowchart of an implementation process of an information recommendation method according to an embodiment of the present invention.
As shown in fig. 3, the method may include steps 310-350, as follows:
step 310: and generating a user behavior database according to the user behavior data.
Acquiring user behavior data; and generating a user behavior database according to the user behavior data.
The user behavior data in the embodiment of the invention comprises at least one of the following: communication information of a user, multimedia information browsed and/or downloaded by the user, system information and historical target recommendation information.
Here, taking each of the above-described user behavior data as an example, the acquisition of the user behavior data and the generation of the user behavior database are exemplified:
(1) Acquiring communication information of user
When a user uses an instant chat tool to chat with different characters (or video chat), the voice contents of the different characters in different scenes are recorded, the audio contents are converted into Chinese contents, and the Chinese contents of the different characters are distinguished for recording.
(2) Acquiring multimedia information browsed and/or downloaded by a user
Recording the content seen by a user when the user reads text content such as news, electronic books and the like; or, when the user watches the video, the subtitle is automatically identified, the page can be captured into a picture, the characters and the contents (including the picture) in the picture are identified, and the text and the picture information are recorded; or, acquiring the content of the page browsed by the current user.
(3) Acquiring system information
The geographical location, time of occurrence, weather, etc. at the time of communication and/or browsing of multimedia information by the user are recorded.
(4) Historical target recommendation information
The previous historical target recommendation information is stored.
Based on the above information, each piece of information can be marked, tag information can be generated, and the weight value of the tag information can be set so as to facilitate later search, and the tag information can be displayed on the recommendation interface according to the weight value.
The following takes the labeling of the communication information base of the user as an example, and the specific labeling process is as follows:
a piece of speech may be tagged from a different perspective with respect to its attribute characteristics, which may include at least one of:
(1) A time tag for recording the complete time of speech occurrence, including morning, noon, afternoon, evening, etc.;
(2) A voice duration tag and a voice keyword tag;
(3) A character tag for recording names of users and voice objects or voice titles, wherein the names of the voice objects can be obtained through semantic analysis from initial call of a conversation;
(4) And exchanging environment labels, and recording weather and geographical position conditions when the voice occurs. The geographic position can be acquired through a positioning system, and the weather condition can be acquired according to the system time and the geographic position;
(5) The emotion label is used for analyzing whether the moods of the two parties fall down, happy, calm or other according to the mood of the two parties when the voice occurs and the current mood of the two parties is exchanged;
(6) The frequency tag records the frequency of voice usage and determines whether the voice content is idioms of the user or is current web popularity.
And setting initial weight values of the label information respectively so as to display the label information in a recommendation interface according to the weight values. Here, the user behavior database may be generated from the above-described user behavior data.
Step 320, when the input method is called to input information, the target information input from the input method interface is obtained.
As shown in fig. 4, target information "keyword 1, keyword 2" from the input method interface is acquired.
Step 330, a first input operation on the input method interface is received.
As shown in fig. 5, the reference function of the first input operation is triggered when the input method interface receives a specific character (e.g., a # symbol) input by the user. Here, the return button may be clicked directly when the user does not want to activate the reference function (e.g., sometimes wants to input a # symbol). Or, a virtual button can be set on the input method interface, and when the triggering operation of the virtual button is received, the reference function is triggered.
Step 340, in response to the first input operation, displaying a recommendation interface.
Here, the recommendation interface includes at least one candidate information related to the target information acquired in the user behavior database.
The recommendation interface is described in detail below in conjunction with fig. 6.
As shown in fig. 6, the recommendation interface may include at least one of the following:
a keyword input area, a limiting condition input area, a tag information display area and a candidate information display area; wherein,
a keyword input area for displaying target information (e.g., the example "keyword 1, keyword 2" in fig. 4);
a limiting condition input area for displaying additional condition information limiting the target information; wherein the additional condition information includes user entered attachment condition information and/or alternative attachment condition information generated based on a user behavior database (e.g., time limit "within this year; or emotion limit" heart condition ").
Here, the limiting conditions in the embodiment of the invention can be flexible and changeable, for example, when a user only remembers a piece of content of a certain book but the name of the book is unclear, only the content related to the book can be searched when a 'book' is input in the limiting condition input area; for example, the user may input or select a time limit simply remembering that it was last year or period of time that the user browsed; for example, the user remembers that a section of video subtitle which is spoken by the main character of the woman appears, and then 'video', 'subtitle' and 'main character of the woman' can be input or selected in the limited condition input area; for example, the user only wants to search the content of the current browsing article, or can manually designate to search the context of the current browsing article only, and record the tag information of the content in the limited condition input area, and display the tag information in the tag information display area for optimizing the options of the recommendation interface; for example, the user always manually designates a context search for a currently browsed article, and defaults the context search after a plurality of times until the user manually deletes the default context search.
A tag information display area for displaying at least one tag information related to the target information, the tag information being used for matching at least one candidate information (for example, tag information of candidate information related to keywords "keyword 1", "keyword 2", time limit "within the present year", and emotion limit "mood" such as name of person, title of book, and publishing time of "keyword 1" related to "keyword 1") from the user behavior database;
and a candidate information display area for displaying at least one candidate information including information matched according to at least one of the target information, the additional condition information, and the tag information in the user behavior database. Here, the candidate information presentation area may specifically include a thumbnail display area and a search content presentation area.
For example: in the thumbnail display area, 3 pieces of candidate information related to "keyword 1", 5 pieces of candidate information related to "keyword 2", and 3 pieces of candidate information related to "keyword 1, keyword 2" are displayed, and here, if there are more pieces of candidate information, some pieces of candidate information may be displayed. If all the candidate information is desired to be displayed, the pop-up button may be clicked, so that all the candidate information may be displayed by searching the content presentation area. Here, in another possible example, the candidate information presentation area may display the target recommendation information.
Based on the above-mentioned regions, the recommendation interface provided in the embodiment of the present invention may receive, through the keyword input region, the keyword 1 and the keyword 2 input by the user, perform semantic analysis on the keyword 1 and the keyword 2, identify information that the user wants to be recommended, and receive the content input by the user in the limiting condition input region and/or the tag information display region, quickly locate a sentence or a section of speech that the user wants to refer in the user behavior database, and recommend the sentence or section of speech to the user based on the input.
Thus, based on the above-mentioned multiple areas, how to display at least one candidate information according to the target information in the embodiment of the present invention is further described.
At least one candidate information is sequentially displayed in the candidate information display area according to the order of the matching degree and/or the priority from high to low, and the matching degree and the priority are respectively described.
(1) And sequentially displaying the candidate information display areas in the order from high to low in the matching degree.
Acquiring a first matching degree of candidate information related to the target information, a second matching degree of candidate information related to the target information and the additional condition information and a third matching degree of candidate information related to the target information, the additional condition information and the tag information from a user behavior database; sequentially displaying at least one candidate information related to the target information in the order from the third matching degree, the second matching degree to the first matching degree; the first matching degree is smaller than the second matching degree, and the second matching degree is smaller than the third matching degree.
For example: when "keyword 1, additional condition 2, and tag information 3" are input in the keyword input area, 3 candidate information related to "keyword 1", 5 candidate information related to "keyword 1, additional condition 2", and 3 candidate information related to "keyword 1, additional condition 2, and tag information 3" are acquired in the user behavior database generated in step 310. At this time, a first matching degree of 3 pieces of candidate information related to "keyword 1", a second matching degree of 5 pieces of candidate information related to "keyword 1, additional condition 2", and a third matching degree of 3 pieces of candidate information related to "keyword 1, additional condition 2", tag information 3", are obtained, respectively, where the first matching degree is smaller than the second matching degree, and the second matching degree is smaller than the third matching degree. Thereby, at least one candidate information related to the target information is displayed in order from the third matching degree, the second matching degree to the first matching degree.
It should be noted that, based on this possibility, the above-mentioned recommendation interface should include a keyword input area, a constraint condition input area, a tag information display area, and a candidate information display area, and information such as a keyword 1, an additional condition 2, and tag information 3 input by the user should be acquired in the corresponding areas.
(2) And sequentially displaying the candidate information display areas in the order of the priority from high to low.
Acquiring at least one piece of candidate information related to the target information from a user behavior database, wherein each piece of candidate information in the at least one piece of candidate information carries at least one piece of tag information, and a weight value corresponding to the tag information is related to the priority; respectively calculating the total weight value of each piece of candidate information; and sequentially displaying at least one candidate information related to the target information in the order of the total weight value from high to low.
And classifying the user behavior data based on the step 310, and acquiring the weight value of each piece of label information when the corresponding piece of label information is marked.
Here, each candidate information may be analyzed, it is determined that at least one tag information is included in the candidate information, a total weight value corresponding to each candidate information is calculated, and at least one candidate information related to the target information is sequentially displayed in order of the total weight value from high to low.
It should be noted that, when the user determines the target recommended information from at least one candidate information, the weight value corresponding to the tag information in the target recommended information may be changed, and the embodiment of the present invention provides a method for adjusting the weight value of the tag information according to the target recommended information, which specifically may include, when the determined target recommended information includes the tag information 1 (weight value 10), the tag information 2 (weight value 16) and the tag information 3 (weight value 5), adding the weight values of the tag information 1, the tag information 2 and the tag information 3, such as the tag information 1 (weight value 15), the tag information 2 (weight value 21) and the tag information 3 (weight value 10), before the next calculation of the total weight value. In this way, the weight value corresponding to the tag information in the target recommendation information is repeatedly revised and determined, and the optimal weight setting is achieved.
In addition, the embodiment of the invention also provides another mode for sequentially displaying the candidate information display areas according to the order of the priority from high to low, which specifically comprises the following steps:
the user behavior data of the latest experience can be defaulted to be higher than other user behavior data according to the user behavior data, the user can select the user behavior data to be displayed with the most distant priority on the recommendation interface, the priority order can be input operation received in a limited condition input area, and the effect based on priority order is achieved according to semantic recognition of input content related to the input operation, so that the user can quickly position target recommendation information.
And step 350, determining target recommendation information in the at least one candidate information, and displaying the target recommendation information on the input method interface.
Wherein a second input operation of determining target recommendation information among the at least one candidate information is received; and responding to the second input operation, and displaying target recommendation information on an input method interface.
Here, with the repeated receiving of the second input operation of the user, the recommendation interface continuously and dynamically adjusts at least one candidate information, so as to avoid the situation that the content in the single candidate information is too much to be displayed, some label information with high current search occupation ratio about the candidate information can be displayed in the recommendation interface according to the preset condition, so that the user can conveniently and quickly select the label information; meanwhile, a pop-up button is displayed beside the list item of each candidate information, so that the whole content of the candidate information is checked according to the pop-up button for a user to confirm, when the user confirms the target recommendation information in at least one candidate information, a part or a plurality of parts of the target recommendation information can be selected for copying (if the target recommendation information is a picture, the picture can be subjected to screenshot to obtain a plurality of sub-pictures); and finally, clicking a confirmation button after the user selects (or copies) the target recommendation information, and displaying the selected (or copied) target recommendation information on an input method interface.
In one possible embodiment, there is an error content or a content that the user wants to modify in the target recommendation information, where the target recommendation information may be modified (or the content is edited by self) in the input method interface, where the drop-down function is displayed when the modified (or the content is edited by self) is too much, and the modified (or the content is edited by self) is displayed in the input method interface.
In another possible embodiment, based on the foregoing, after the user has customized the edited content, the customized edited content is stored in the user behavior database for later recommendation information.
In summary, in the embodiment of the present invention, when an input method is invoked to input information, target information input from an input method interface may be acquired, and a first input operation on the input method interface, that is, an information recommendation function is started, is received, and a recommendation interface is displayed, where the recommendation interface includes at least one candidate information related to the target information, which is acquired in a user behavior database, where the user behavior database includes information such as communication information, multimedia information browsed and/or downloaded by a user, system information, and historical target recommendation information. Therefore, on one hand, the efficiency of information input is greatly improved while the user is ensured to quickly quote the target recommendation information; on the other hand, the input method can be used for recommending information according to user behavior data besides recommending information based on words input by the user history, so that recommended information is more close to the habit of the user, and the user experience is improved.
In addition, the method can automatically record communication information of the user, multimedia information (such as reading content of the user in life, work and study), system information and historical target recommendation information of the user, generate a user behavior database, and then recommend information by an input method based on the user behavior database, so that the method can be used for arranging scenes of relevant knowledge points and similar content points in user behavior data, is convenient for the user to comprehensively analyze own historical behavior data, enables the user to more quickly summarize the knowledge points and automatically cluster to form own knowledge patterns, and solves the problems that people forget after reading and want to use the information for a long time.
Fig. 7 is a schematic structural diagram of an information recommendation device according to an embodiment of the present invention.
As shown in fig. 7, the information recommendation device 70 may specifically include:
the acquiring module 701 is configured to acquire target information input from an input method interface when an input method is called for information input;
the transceiver module 702 is configured to receive a first input operation on the input method interface;
the first display module 703 is configured to display, in response to a first input operation, a recommendation interface, where the recommendation interface includes at least one candidate information related to the target information acquired in the user behavior database.
In a possible embodiment, the information recommendation device 70 may further include a second display module 704. Based thereon, the transceiver module 702 may be further configured to receive a second input operation for determining target recommendation information among the at least one candidate information; and the second display module 704 is used for responding to the second input operation and displaying the target recommendation information on the input method interface.
In another possible embodiment, the information recommendation device 70 may further include a processing module 705, configured to save the target recommendation information to the user behavior database.
The recommended interface in the embodiment of the invention can comprise at least one area of the following: a keyword input area, a limiting condition input area, a tag information display area and a candidate information display area; wherein,
displaying target information in the keyword input area;
displaying additional condition information defining the target information in the defined condition input area; wherein the additional condition information comprises user-entered accessory condition information and/or selectable accessory condition information generated based on a user behavior database;
displaying at least one piece of tag information related to the target information in a tag information display area, the tag information being used for matching at least one piece of candidate information from a user behavior database;
At least one candidate information including information matched according to at least one of the target information, the additional condition information, and the tag information in the user behavior database is displayed in the candidate information display area.
Based on this, at least one candidate information is sequentially displayed in the candidate information presentation area in order of the matching degree and/or the priority from high to low.
The first display module 703 is specifically configured to obtain, in the user behavior database, a first matching degree of candidate information related to the target information, a second matching degree of candidate information related to the target information and the additional condition information, and a third matching degree of candidate information related to the target information, the additional condition information, and the tag information;
sequentially displaying at least one candidate information related to the target information in the order from the third matching degree, the second matching degree to the first matching degree;
the first matching degree is smaller than the second matching degree, and the second matching degree is smaller than the third matching degree.
And/or at least one piece of candidate information related to the target information is obtained from the user behavior database, wherein each piece of candidate information in the at least one piece of candidate information carries at least one piece of label information, and a weight value corresponding to the label information is related to the priority;
Respectively calculating the total weight value of each piece of candidate information;
and sequentially displaying at least one candidate information related to the target information in the order of the total weight value from high to low.
In yet another possible embodiment, the information recommendation device 70 may further include a generating module 706, configured to obtain user behavior data; generating a user behavior database according to the user behavior data; wherein the user behavior data comprises at least one of: communication information of a user, multimedia information browsed and/or downloaded by the user, system information and historical target recommendation information.
Therefore, in the embodiment of the invention, when the input method is called to input information, the target information input from the input method interface can be acquired, the first input operation on the input method interface, namely, the information recommendation function is started, is received, the recommendation interface is displayed, the recommendation interface comprises at least one candidate information related to the target information, which is acquired in the user behavior database, wherein the user behavior database comprises information such as communication information, multimedia information browsed and/or downloaded by a user, system information, historical target recommendation information and the like. Therefore, on one hand, the efficiency of information input is greatly improved while the user is ensured to quickly quote the target recommendation information; on the other hand, the input method can be used for recommending information according to user behavior data besides recommending information based on words input by the user history, so that recommended information is more close to the habit of the user, and the user experience is improved.
Fig. 8 is a schematic hardware structure of an electronic device according to an embodiment of the present invention.
The electronic device 800 includes, but is not limited to: radio frequency unit 801, network module 802, audio output unit 803, input unit 804, sensor 805, display unit 806, user input unit 807, interface unit 808, memory 809, processor 810, and power supply 811. It will be appreciated by those skilled in the art that the electronic device structure shown in fig. 8 is not limiting of the electronic device and that the electronic device may include more or fewer components than shown, or may combine certain components, or a different arrangement of components. In the embodiment of the invention, the electronic equipment comprises, but is not limited to, a mobile phone, a tablet computer, a notebook computer, a palm computer, a vehicle-mounted terminal, a wearable device, a pedometer and the like.
The processor 810 is configured to obtain target information input from an input method interface when the input method is called for information input; and is further configured to control the user input unit 807 to receive a first input operation on the input method interface; also, in response to the first input operation, the control display unit 806 displays a recommendation interface including at least one candidate information related to the target information acquired in the user behavior database.
In the embodiment of the invention, when the input method is called to input information, the target information input from the input method interface can be acquired, the first input operation on the input method interface is received, namely, the information recommending function is started, the recommending interface is displayed, and the recommending interface comprises at least one candidate information related to the target information, which is acquired in a user behavior database, wherein the user behavior database comprises information such as communication information, multimedia information browsed and/or downloaded by a user, system information, historical target recommending information and the like. Therefore, on one hand, the efficiency of information input is greatly improved while the user is ensured to quickly quote the target recommendation information; on the other hand, the input method can be used for recommending information according to user behavior data besides recommending information based on words input by the user history, so that recommended information is more close to the habit of the user, and the user experience is improved.
It should be understood that, in the embodiment of the present invention, the radio frequency unit 801 may be used for receiving and transmitting information or receiving and transmitting signals during a call. In general, the radio frequency unit 801 includes, but is not limited to, an antenna, at least one amplifier, a transceiver, a coupler, a low noise amplifier, a duplexer, and the like. In addition, the radio frequency unit 801 may also communicate with networks and other devices through a wireless communication system.
The electronic device provides wireless broadband internet access to the user through the network module 802, such as helping the user to send and receive e-mail, browse web pages, access streaming media, and the like.
The audio output unit 803 may convert an audio resource received by the radio frequency unit 801 or the network module 802 or stored in the memory 809 into an audio signal and output as sound. Also, the audio output unit 803 may also provide audio output (e.g., a call signal reception sound, a message reception sound, etc.) related to a specific function performed by the electronic device 800. The audio output unit 803 includes a speaker, a buzzer, a receiver, and the like.
The input unit 804 is used for receiving an audio or video signal. The input unit 804 may include a graphics processor (Graphics Processing Unit, GPU) 8041 and a microphone 8042, the graphics processor 8041 processing image resources of still pictures or video obtained by an image capturing device (e.g., a camera) in a video capturing mode or an image capturing mode. The processed image frame may be displayed on the display unit 807. The image frames processed by the graphics processor 8041 may be stored in the memory 809 (or other storage medium) or transmitted via the radio frequency unit 801 or the network module 802. Microphone 8042 can receive sound and can process such sound as an audio resource. The processed audio resources may be converted in case of a phone call mode into a format output that may be transmitted to the mobile communication base station via the radio frequency unit 801.
The electronic device 800 also includes at least one sensor 805 such as a light sensor, a motion sensor, and other sensors. Specifically, the light sensor includes an ambient light sensor and a proximity sensor, wherein the ambient light sensor can adjust the brightness of the display panel 8081 according to the brightness of ambient light, and the proximity sensor can turn off the display panel 8081 and/or the backlight when the electronic device 800 moves to the ear. As one of the motion sensors, the accelerometer sensor can detect the acceleration in all directions (generally three axes), and can detect the gravity and direction when stationary, and can be used for recognizing the gesture of the electronic equipment (such as horizontal and vertical screen switching, related games, magnetometer gesture calibration), vibration recognition related functions (such as pedometer and knocking), and the like; the sensor 805 may also include a fingerprint sensor, a pressure sensor, an iris sensor, a molecular sensor, a gyroscope, a barometer, a hygrometer, a thermometer, an infrared sensor, etc., which are not described herein.
The display unit 806 is used to display information input by a user or information provided to the user. The display unit 806 may include a display panel 8061, and the display panel 8061 may be configured in the form of a liquid crystal display (Liquid Crystal Display, LCD), an Organic Light-Emitting Diode (OLED), or the like.
The user input unit 807 is operable to receive input numeric or character information and to generate key signal inputs related to user settings and function controls of the electronic device. In particular, the user input unit 807 includes a touch panel 8071 and other input devices 8072. Touch panel 8071, also referred to as a touch screen, may collect touch operations thereon or thereabout by a user (e.g., operations of the user on touch panel 8071 or thereabout using any suitable object or accessory such as a finger, stylus, etc.). The touch panel 8071 may include two parts, a touch detection device and a touch controller. The touch detection device detects the touch azimuth of a user, detects a signal brought by touch operation and transmits the signal to the touch controller; the touch controller receives touch information from the touch detection device, converts it into touch point coordinates, sends the touch point coordinates to the processor 810, and receives and executes commands sent from the processor 810. In addition, the touch panel 8071 may be implemented in various types such as resistive, capacitive, infrared, and surface acoustic wave. In addition to the touch panel 8071, the user input unit 807 can include other input devices 8072. In particular, other input devices 8072 may include, but are not limited to, physical keyboards, function keys (e.g., volume control keys, switch keys, etc.), trackballs, mice, joysticks, and so forth, which are not described in detail herein.
Further, the touch panel 8071 may be overlaid on the display panel 8061, and when the touch panel 8071 detects a touch operation thereon or thereabout, the touch operation is transmitted to the processor 810 to determine a type of touch event, and then the processor 810 provides a corresponding visual output on the display panel 8061 according to the type of touch event. Although in fig. 8, the touch panel 8071 and the display panel 8061 are two independent components for implementing the input and output functions of the electronic device, in some embodiments, the touch panel 8071 and the display panel 8061 may be integrated to implement the input and output functions of the electronic device, which is not limited herein.
The interface unit 808 is an interface to which an external device is connected to the electronic apparatus 800. For example, the external devices may include wired or wireless headset ports, external power (or battery charger) ports, wired or wireless resource ports, memory card ports, ports for connecting devices having identification modules, audio input/output (I/O) ports, video I/O ports, earphone ports, and the like. The interface unit 808 may be used to receive input (e.g., resource information, power, etc.) from an external device and transmit the received input to one or more elements within the electronic apparatus 800 or may be used to transmit resources between the electronic apparatus 800 and an external device.
The memory 809 may be used to store software programs as well as various resources. The memory 809 may mainly include a storage program area and a storage resource area, wherein the storage program area may store an operating system, application programs (such as a sound playing function, an image playing function, etc.) required for at least one function, and the like; the storage resource area may store resources (such as audio resources, phonebooks, etc.) created according to the use of the handset, etc. In addition, the memory 809 may include high speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other volatile solid state storage device.
The processor 810 is a control center of the electronic device, connects various parts of the entire electronic device using various interfaces and lines, and performs various functions and processing resources of the electronic device by running or executing software programs and/or modules stored in the memory 809, and invoking resources stored in the memory 809, thereby performing overall monitoring of the electronic device. The processor 810 may include one or more processing units; preferably, the processor 810 may integrate an application processor that primarily handles operating systems, user interfaces, applications, etc., with a modem processor that primarily handles wireless communications. It will be appreciated that the modem processor described above may not be integrated into the processor 810.
The electronic device 800 may also include a power supply 811 (e.g., a battery) for powering the various components, and the power supply 811 may preferably be logically coupled to the processor 810 through a power management system that provides for managing charge, discharge, and power consumption.
In addition, the electronic device 800 includes some functional modules, which are not shown, and will not be described herein.
The embodiment of the present invention also provides a computer-readable storage medium having stored thereon a computer program which, when executed in a computer, causes the computer to perform the steps of the information recommendation method of the embodiment of the present invention.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
From the above description of the embodiments, it will be clear to those skilled in the art that the above-described embodiment method may be implemented by means of software plus a necessary general hardware platform, but of course may also be implemented by means of hardware, but in many cases the former is a preferred embodiment. Based on such understanding, the technical solution of the present invention may be embodied essentially or in a part contributing to the prior art in the form of a software product stored in a storage medium (e.g. ROM/RAM, magnetic disk, optical disk) comprising several instructions for causing an electronic device (which may be a mobile phone, a computer, a server, an air conditioner, or a network device, etc.) to perform the method of the embodiments of the present invention.
The embodiments of the present invention have been described above with reference to the accompanying drawings, but the present invention is not limited to the above-described embodiments, which are merely illustrative and not restrictive, and many forms may be made by those having ordinary skill in the art without departing from the spirit of the present invention and the scope of the claims, which are to be protected by the present invention.
Claims (9)
1. An information recommendation method, comprising:
when an input method is called for information input, acquiring target information input from an input method interface;
receiving a first input operation on the input method interface;
in response to the first input operation, displaying a recommendation interface, wherein the recommendation interface comprises at least one candidate information related to the target information, which is acquired in a user behavior database, wherein the user behavior database is determined by the user behavior data, and the user behavior data comprises at least one of the following: the communication information of the user, the multimedia information browsed and/or downloaded by the user, the system information and the historical target recommendation information; the recommendation interface includes at least one of the following: a keyword input area, a limiting condition input area, a tag information display area and a candidate information display area; the display recommendation interface comprises at least one of the following:
displaying the target information in the keyword input area;
displaying additional condition information defining the target information in the defined condition input area; wherein the additional condition information comprises accessory condition information input by a user and/or selectable accessory condition information generated based on the user behavior database;
Displaying at least one tag information related to the target information in the tag information display area, the tag information being used for matching the at least one candidate information from the user behavior database;
displaying the at least one candidate information in the candidate information display area, the candidate information including information matched to at least one of the target information, the additional condition information, and the tag information in the user behavior database.
2. The method of claim 1, further comprising, after the step of displaying a recommendation interface:
receiving a second input operation of determining target recommendation information in the at least one candidate information;
and responding to the second input operation, and displaying the target recommendation information on the input method interface.
3. The method of claim 1, wherein the step of determining the position of the substrate comprises,
and the at least one candidate information is sequentially displayed in the candidate information display area according to the order of the matching degree and/or the priority from high to low.
4. The method of claim 3, wherein the displaying a recommendation interface in response to the first input operation comprises:
Acquiring a first matching degree of candidate information related to the target information, a second matching degree of candidate information related to the target information and the additional condition information, and a third matching degree of candidate information related to the target information, the additional condition information and the tag information from the user behavior database;
sequentially displaying at least one candidate information related to the target information in an order from the third matching degree, the second matching degree to the first matching degree;
the first matching degree is smaller than the second matching degree, and the second matching degree is smaller than the third matching degree.
5. The method of claim 1 or 4, wherein displaying a recommendation interface in response to the first input operation comprises:
acquiring at least one piece of candidate information related to the target information from the user behavior database, wherein each piece of candidate information in the at least one piece of candidate information carries at least one piece of tag information, and a weight value corresponding to the tag information is related to the priority;
respectively calculating the total weight value of each piece of candidate information;
and sequentially displaying at least one candidate information related to the target information according to the sequence from high to low of the total weight value.
6. The method as recited in claim 1, further comprising:
acquiring user behavior data;
and generating the user behavior database according to the user behavior data.
7. An information recommendation device, characterized by comprising:
the acquisition module is used for acquiring target information input from an input method interface when the input method is called for information input;
the receiving and transmitting module is used for receiving a first input operation on the input method interface;
a first display module, configured to respond to the first input operation, and display a recommendation interface, where the recommendation interface includes at least one candidate information related to the target information acquired in a user behavior database, where the user behavior database is determined by the user behavior data, and the user behavior data includes at least one of the following: the communication information of the user, the multimedia information browsed and/or downloaded by the user, the system information and the historical target recommendation information; the recommendation interface includes at least one of the following: a keyword input area, a limiting condition input area, a tag information display area and a candidate information display area; the display recommendation interface comprises at least one of the following:
Displaying the target information in the keyword input area;
displaying additional condition information defining the target information in the defined condition input area; wherein the additional condition information comprises accessory condition information input by a user and/or selectable accessory condition information generated based on the user behavior database;
displaying at least one tag information related to the target information in the tag information display area, the tag information being used for matching the at least one candidate information from the user behavior database;
displaying the at least one candidate information in the candidate information display area, the candidate information including information matched to at least one of the target information, the additional condition information, and the tag information in the user behavior database.
8. A terminal device comprising a processor, a memory and a computer program stored on the memory and executable on the processor, which when executed by the processor implements the steps of the information recommendation method according to any of claims 1-6.
9. A computer readable storage medium, characterized in that the computer readable storage medium has stored thereon a computer program which, when executed by a processor, implements the steps in the information recommendation method according to any of claims 1-6.
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| CN112199035A (en) * | 2020-09-30 | 2021-01-08 | 北京搜狗科技发展有限公司 | Information recommendation method and device and electronic equipment |
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