CN110989847A - Information recommendation method and device, terminal equipment and storage medium - Google Patents
Information recommendation method and device, terminal equipment and storage medium Download PDFInfo
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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, target information input from an input method interface is acquired; receiving a first input operation on an input method interface; and displaying a recommendation interface in response to the first input operation, wherein the recommendation interface comprises at least one candidate information related to the target information acquired in the user behavior database. The problem that in the prior art, the candidate words recommended by an input method are single and influence user experience is solved.
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 indispensable communication tools in people's lives. Most operations and functions of the terminal device are built on the input method, and thus, the input method gradually becomes a necessary language for the user to communicate with the terminal device.
At present, the input method has a wide variety of applications and tends to be diversified in function. In some scenarios, the input method interface may provide candidate words for selection by the user, such that the user may reduce the user's input by selecting the candidate words. However, a user may use the terminal device in different scenes, and the candidate words recommended by the input method are generally words input by the user in history or words in a current hot spot, so that the recommended candidate words are basically fixed, the candidate words recommended by the terminal device are single, and user experience is affected.
Disclosure of Invention
The embodiment of the invention provides an information recommendation method, an information recommendation device, terminal equipment and a storage medium, and aims to solve the problem that in the prior art, the candidate vocabulary recommended by an input method is single and influences user experience.
In order to solve the technical problem, 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, target information input from an input method interface is acquired;
receiving a first input operation on an input method interface;
and displaying a recommendation interface in response to the first input operation, wherein the recommendation interface comprises 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, where the apparatus includes:
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 sending 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 which is acquired from the user behavior database and is related to the target information.
In a third aspect, an embodiment of the present invention provides a terminal device, which includes a processor, a memory, and a computer program stored on the memory and operable on the processor, where the computer program, when executed by the processor, implements the steps in the information recommendation method according to the first aspect.
In a fourth aspect, a computer-readable storage medium is provided, on which a computer program is stored, which, when being executed by a processor, implements the steps in the information recommendation method according to the first aspect.
In the embodiment of the invention, when an input method is called for information input, target information input from an input method interface can be acquired, an information recommendation function is started after a first input operation on the input method interface is received, and a recommendation interface is displayed, wherein the recommendation interface comprises at least one candidate information which is acquired from a user behavior database and is related to the target information, and the user behavior database comprises 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 quote the target recommendation information quickly; on the other hand, the input method can perform information recommendation according to user behavior data besides performing information recommendation based on words input by the user history, so that recommendation information can be closer to the habit of the user, and the user experience is improved.
Drawings
The present 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 a schematic view of an application scenario of an information recommendation method according to 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 of 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 provided by embodiments 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 apparatus according to an embodiment of the present invention;
fig. 8 is a schematic diagram of a hardware structure of a terminal device according to an embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, not all, embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Aiming at the 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 problem that the user experience is influenced by a single candidate word recommended by an input method in the prior art.
The information recommendation method provided by the embodiment of the invention can be applied to various application scenarios, and is described below with reference to fig. 1.
Fig. 1 is a schematic view of an application scenario of an information recommendation method according to 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, and study) browsed and/or downloaded by the user, system information, and historical target recommendation information. When a user wants to refer to a reading content which is in life, work and study once and/or a certain content which is seen in history and is wanted to be referred by the user, information (such as keywords) input from the input method interface 10 is acquired, furthermore, a first input operation (such as a certain gesture, a key or an input symbol # and the like) of inputting target information by the user on the input method interface is received, a function of referring to a context environment is started according to the first input operation, a recommendation interface 20 is displayed, the user can acquire at least one candidate information related to the target information based on the recommendation interface, and the user can search the candidate information through the keywords according to the prompting content in the recommendation interface; then, a second input operation of the user for determining the target recommendation information in the at least one candidate information is received, and the target recommendation information is displayed on the input method interface in response to the second input operation.
Therefore, the target information input from the input method interface can be acquired when the input method is called for information input, the information recommendation function is started by receiving the first input operation on the input method interface, and the recommendation interface is displayed and comprises at least one candidate information which is acquired from the user behavior database and is related to the target information. Therefore, on one hand, the efficiency of information input is greatly improved while the user is ensured to quote the target recommendation information quickly; on the other hand, the input method can perform information recommendation according to user behavior data besides performing information recommendation based on words input by the user history, so that recommendation information can be closer to the habit of the user, and the user experience is improved.
In addition, the method can generate a user behavior database by automatically recording the communication information of the user, the multimedia information (such as the reading content of the user in life, work and study), the system information and the historical target recommendation information browsed and/or downloaded by the user, and then perform input method information recommendation based on the user behavior database, so that the method can also be used for arranging scenes of related knowledge points and similar content points in the user behavior data, thereby facilitating the user to comprehensively analyze the historical behavior data of the user, enabling the user to quickly summarize the knowledge points and automatically cluster to form a knowledge graph of the user, and solving the problem that people forget to read the knowledge and find data for a long time when wanting to use the knowledge graph.
Based on the application scenario, in addition to the application scenario that the user wants to refer to the reading content once in life, work, and study and/or a certain content that the user wants to refer to in history, the method can be used in at least one of the following application scenarios:
(1) when a user wants to refer to a book or a sentence in the course of a story that has been browsed once;
(2) when a user reads an article and wants to quote one or a plurality of sentences in the article;
(3) when the user views the picture and wants to refer to the content in the picture;
(4) when a user wants to refer to a section of bullet screen information or lines while watching bullet screen information or lines in a video or a television play.
Based on at least one of the application scenarios, 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, which are specifically as follows:
and step 210, acquiring target information input from the input method interface when the input method is called for information input.
Step 220, a first input operation on the input method interface is received.
Here, the first input operation may include at least one of: a gesture operation of a user, triggering a physical or virtual key, inputting a preset character (e.g.: symbol).
And step 230, responding to the first input operation, and displaying a recommendation interface, wherein the recommendation interface comprises at least one candidate information related to the target information acquired in the user behavior database.
Wherein the recommendation interface includes at least one of:
the system comprises a keyword input area, a limited condition input area, a label information display area and a candidate information display area; wherein the content of the first and second substances,
a keyword input area for displaying target information;
a definition condition input area for displaying additional condition information defining target information; wherein the additional condition information comprises accessory condition information input by a user 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 for matching at least one candidate information from the user behavior database;
and the candidate information display area is used for displaying at least one candidate information, and the candidate information comprises information matched in the user behavior database according to at least one of the target information, the additional condition information and the label information.
Based on this, at least one candidate message provided by the embodiment of the present invention may be sequentially displayed in the candidate message display area according to the order of the matching degree and/or the priority from high to low, which is described below:
(1) and sequentially displaying in the candidate information display area according to the sequence of the matching degree from high to low.
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 label information in a user behavior database;
sequentially displaying at least one candidate message related to the target message according to the sequence 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 recommendation interface includes a keyword input area, a constraint input area, a tag information display area, and a candidate information display area.
(2) And displaying in the candidate information display area in sequence according to the order of the priority from high to low.
Acquiring at least one candidate message related to the target message from a user behavior database, wherein each candidate message in the at least one candidate message carries at least one tag message, and a weight value corresponding to the tag message is related to the priority;
respectively calculating the total weight value of each candidate message;
and sequentially displaying at least one candidate message related to the target message according to the sequence of the total weight value from high to low.
Additionally, in a possible embodiment, before step 230, the method may further include:
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 the 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 for 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.
In a further 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 an input method is called for information input, the target information input from the input method interface can be acquired, the information recommendation function is started after the first input operation on the input method interface is received, and the recommendation interface is displayed and comprises at least one candidate information which is acquired from a user behavior database and is related to the target information, wherein the user behavior database comprises 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 quote the target recommendation information quickly; on the other hand, the input method can perform information recommendation according to user behavior data besides performing information recommendation based on words input by the user history, so that recommendation information can be closer 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 above contents, the following takes a scene in which a user wants to refer to the reading contents once in life, work, and study as an example, and the information recommendation method provided by the embodiment of the present invention is exemplified.
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 the user, multimedia information browsed and/or downloaded by the user, system information and historical target recommendation information.
Here, taking each of the user behavior data described above as an example, the following is exemplified to acquire the user behavior data and generate the user behavior database:
(1) obtaining communication information of user
When a user uses an instant chat tool to chat with different characters by voice (or chat by video), the voice contents of different characters in different scenes are recorded, the audio contents are converted into Chinese contents, and the Chinese contents of different characters are distinguished for recording.
(2) Obtaining multimedia information browsed and/or downloaded by user
Recording the contents watched by a user when the user reads text contents such as news and electronic books; or, when the user watches the video, the subtitle is automatically identified, the page can be captured into a picture, characters and contents (including the picture) in the picture are identified, and the information of the text and the picture is recorded; or acquiring the content of the current user browsing page.
(3) Obtaining system information
The geographical location, time of occurrence, weather, etc. at the time the user communicates information and/or browses multimedia information are recorded.
(4) Historical target recommendation information
Storing the previous historical target recommendation information.
Based on the information, each piece of information can be marked to generate label information, and the weight value of the label information is set so as to facilitate later searching and be displayed on a recommendation interface according to the weight value.
In the following, a specific marking process is shown as follows, taking as an example the marking of the communication information base of the user:
for a piece of speech, it can be labeled from different angle attribute features, and its attribute features can include at least one of the following:
(1) the time tag is used for recording the complete time of the voice generation, including morning, noon, afternoon, evening and the like;
(2) a voice time label and a voice keyword label;
(3) the character tag records the names or voice head portraits of the user and the voice objects, wherein the names of the voice objects can be obtained by semantic analysis in the initial call of the conversation;
(4) and exchanging environment tags, and recording weather and geographical position conditions when voice occurs. The geographical position can be obtained through a positioning system, and the weather condition can be obtained according to the system time and the geographical position;
(5) the emotion tag analyzes whether moods of two parties are low, happy, calm or other according to the current moods of the two parties when voice occurs;
(6) and the frequency tag records the frequency of the voice use and determines whether the voice content is the idiom of the user or the current network popular language.
And respectively setting initial weight values for the label information so as to display in a recommendation interface according to the weight values. Here, the user behavior database may be generated from the user behavior data described above.
And step 320, acquiring target information input from the input method interface when the input method is called for information input.
As shown in fig. 4, target information "keyword 1, keyword 2" from the input method interface is acquired.
Step 330, receiving a first input operation on the input method interface.
As shown in fig. 5, the refer function of the first input operation is triggered when the input method interface receives a specific character (e.g., # symbol) input by the user. Here, the back button may be directly clicked when the user does not want to activate the refer function (e.g., sometimes wants to input a # symbol). Alternatively, a virtual button may be provided on the input method interface, and when a trigger operation of the virtual button is received, the reference function is triggered.
Step 340, responding to the first input operation, and 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 areas:
the system comprises a keyword input area, a limited condition input area, a label information display area and a candidate information display area; wherein the content of the first and second substances,
a keyword input area for displaying target information (for example, following the example "keyword 1, keyword 2" in fig. 4);
a definition condition input area for displaying additional condition information defining target information; wherein the additional condition information comprises the accessory condition information input by the user and/or the optional accessory condition information generated based on the user behavior database (for example, time limitation 'this year'; or emotion limitation 'talking when good mood').
Here, the restriction conditions in the embodiment of the present invention may be flexible, for example, when the user only remembers a piece of content of a certain book, but the name of the book is not clear, in this case, only the content related to the book may be searched by inputting "book" in the restriction condition input area; for example, the user may enter or select a time limit simply remembering that the content was viewed in the last year or period of time; for example, if the user remembers that a section of the video subtitle has been spoken by the actress, the "video", "subtitle" and "actress" may be input or selected in the limited condition input area; for example, a user only wants to search the content of a currently browsed article, or manually specifies to search only in the context of the currently browsed article, records the tag information of the content in the limited condition input area, and displays the content in the tag information display area to optimize options of a recommendation interface; for example, the user may manually specify a contextual search for a currently viewed article, and after a plurality of times, the user may default to the contextual search until the user manually deletes the default contextual search.
A tag information display area for displaying at least one tag information related to the target information, wherein the tag information is used for matching at least one candidate information (for example, tag information of candidate information related to keywords "keyword 1", "keyword 2", time limit "this year" and emotion limit "good mood", for example, character name, book name and publication time of "keyword 1" related to "keyword 1") from the user behavior database;
and the candidate information display area is used for displaying at least one candidate information, and the candidate information comprises information matched in the user behavior database according to at least one of the target information, the additional condition information and the label information. Here, the candidate information presentation area may specifically include a thumbnail display area and a search content presentation area.
For example: there are 3 candidate information related to "keyword 1", 5 candidate information related to "keyword 2", and 3 candidate information related to "keyword 1, keyword 2" displayed in the thumbnail display area, where if there are more candidate information, part of the 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 display area. Here, in another possible example, the candidate information presentation area may display target recommendation information.
Therefore, based on the above areas, the recommendation interface provided by the embodiment of the present invention may receive the keyword 1 and the keyword 2 input by the user through the keyword input area, perform semantic analysis on the keyword 1 and the keyword 2, identify information that the user wants to recommend, receive the content input by the user in the limited condition input area and/or the tag information display area, quickly locate a sentence or a segment that the user wants to refer to in the user behavior database, and recommend the sentence or the segment to the user based on the input method.
Thus, based on the plurality of regions, 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 message is sequentially displayed in the candidate message display area according to the sequence of the matching degree and/or the priority from high to low, and the matching degree and the priority are respectively explained.
(1) And sequentially displaying in the candidate information display area according to the sequence of the matching degree from high to low.
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 label information in a user behavior database; sequentially displaying at least one candidate message related to the target message according to the sequence 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, there are 3 pieces of candidate information related to "keyword 1", 5 pieces of candidate information related to "keyword 1, additional condition 2", and 3 pieces of candidate information related to "keyword 1, additional condition 2, and tag information 3" 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 the "keyword 1", a second matching degree of 5 pieces of candidate information related to the "keyword 1, additional condition 2", and a third matching degree of 3 pieces of candidate information related to the "keyword 1, additional condition 2, and 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 sequentially displayed in the 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 recommendation interface should include a keyword input area, a limited condition input area, a tag information display area, and a candidate information display area, and information such as the keyword 1, the additional condition 2, and the tag information 3 input by the user needs to be acquired in the corresponding area.
(2) And displaying in the candidate information display area in sequence according to the order of the priority from high to low.
Acquiring at least one candidate message related to the target message from a user behavior database, wherein each candidate message in the at least one candidate message carries at least one tag message, and a weight value corresponding to the tag message is related to the priority; respectively calculating the total weight value of each candidate message; and sequentially displaying at least one candidate message related to the target message according to the sequence of the total weight value from high to low.
Based on the classification of the user behavior data in step 310, and when the corresponding tag information is marked, a weight value of each tag information is obtained.
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 a user determines target recommendation information from at least one candidate information, a weight value corresponding to tag information in the target recommendation information may change, an embodiment of the present invention provides a method for adjusting a weight value of tag information according to the target recommendation information, which may specifically include that, when the determined target recommendation information includes tag information 1 (weight value 10), tag information 2 (weight value 16), and tag information 3 (weight value 5), before calculating a total weight value next time, the weight values of tag information 1, tag information 2, and tag information 3, such as tag information 1 (weight value 15), tag information 2 (weight value 21), and tag information 3 (weight value 10), need to be increased. 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, another way of sequentially displaying in the candidate information display area according to the order of priority from high to low is further provided in the embodiments of the present invention, which specifically includes:
according to the user behavior data, the user behavior data which is experienced most recently is higher than other user behavior data in priority, the user can select the user behavior data which is the longest to display preferentially on the recommendation interface, the priority can also be the input operation received in the input area of the limited condition, semantic recognition is carried out according to the input content related to the input operation, the effect of sequencing based on priority is achieved, and therefore the user can quickly locate the 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.
Receiving a second input operation for determining target recommendation information in at least one candidate information; and responding to the second input operation, and displaying the target recommendation information on the input method interface.
Here, as the second input operation of the user is received for multiple times, the recommendation interface continuously and dynamically adjusts at least one piece of candidate information, and in order to avoid the situation that the content in a single piece of candidate information is too much and cannot be displayed, some label information which is related to the candidate information and accounts for a high ratio to the current search according to the preset information can be displayed in the recommendation interface so as to facilitate the quick selection of the user; simultaneously, a pop-up button is also displayed beside the list item of each candidate information so as to check all contents of the candidate information according to the pop-up button for confirmation of a user, after the user confirms target recommendation information in at least one candidate information, one part or a plurality of parts in 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, the user clicks a confirmation button after selecting (or copying) the target recommendation information, and the selected (or copied) target recommendation information is displayed on an input method interface.
In a possible embodiment, there is error content or content that the user wants to modify in the target recommendation information, at this time, the target recommendation information may be modified (or custom-edited content) in the input method interface, at this time, in the case that the modified (or custom-edited) content is too much, a pull-down function is displayed, and the modified (or custom-edited) content is displayed in the following input method interface in a comprehensive manner.
In another possible embodiment, based on the above possibility, after the user customizes the edited content, the customized edited content is stored in the user behavior database to be used for recommending information later.
In summary, in the embodiments of the present invention, when an input method is invoked for information input, target information input from an input method interface may be acquired, a first input operation on the input method interface is received, that is, an information recommendation function is started, and a recommendation interface is displayed, where the recommendation interface includes at least one candidate information related to the target information acquired from 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 quote the target recommendation information quickly; on the other hand, the input method can perform information recommendation according to user behavior data besides performing information recommendation based on words input by the user history, so that recommendation information can be closer to the habit of the user, and the user experience is improved.
In addition, the method can generate a user behavior database by automatically recording the communication information of the user, the multimedia information (such as the reading content of the user in life, work and study), the system information and the historical target recommendation information browsed and/or downloaded by the user, and then perform input method information recommendation based on the user behavior database, so that the method can also be used for arranging scenes of related knowledge points and similar content points in the user behavior data, thereby facilitating the user to comprehensively analyze the historical behavior data of the user, enabling the user to quickly summarize the knowledge points and automatically cluster to form a knowledge graph of the user, and solving the problem that people forget to read the knowledge and find data for a long time when wanting to use the knowledge graph.
Fig. 7 is a schematic structural diagram of an information recommendation apparatus according to an embodiment of the present invention.
As shown in fig. 7, the information recommendation device 70 may specifically include:
an obtaining module 701, configured to obtain target information input from an input method interface when an input method is called to perform information input;
a transceiver module 702, configured to receive a first input operation on an input method interface;
the first display module 703 is configured to display, in response to the first input operation, a recommendation interface, where the recommendation interface includes at least one candidate information related to the target information, which is acquired in the user behavior database.
In a possible embodiment, the information recommendation device 70 may further include a second display module 704. Based on this, the transceiver module 702 may be further configured to receive a second input operation of determining the target recommendation information in the at least one candidate information; and a second display module 704, configured to display the target recommendation information on the input method interface in response to the second input operation.
In another possible embodiment, the information recommendation apparatus 70 may further include a processing module 705, configured to save the target recommendation information in the user behavior database.
The recommendation interface in the embodiment of the present invention may include at least one of the following areas: the system comprises a keyword input area, a limited condition input area, a label information display area and a candidate information display area; wherein the content of the first and second substances,
displaying target information in a keyword input area;
displaying additional condition information defining target information in a 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 a user behavior database;
displaying at least one piece of label information related to the target information in a label information display area, wherein the label information is used for matching at least one piece of candidate information from a user behavior database;
and displaying at least one candidate message in the candidate message display area, wherein the candidate message comprises a message matched in the user behavior database according to at least one of the target message, the additional condition message and the label message.
Based on the information display area, at least one candidate information is displayed in the candidate information display area in sequence from high to low according to the matching degree and/or the priority.
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 message related to the target message according to the sequence 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 acquiring at least one candidate message related to the target message from a user behavior database, wherein each candidate message in the at least one candidate message carries at least one tag message, and the weight value corresponding to the tag message is related to the priority;
respectively calculating the total weight value of each candidate message;
and sequentially displaying at least one candidate message related to the target message according to the sequence of the total weight value from high to low.
In yet another possible embodiment, the information recommendation apparatus 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 the 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 an input method is called for information input, the target information input from the input method interface can be acquired, the information recommendation function is started after the first input operation on the input method interface is received, and the recommendation interface is displayed and comprises at least one candidate information which is acquired from a user behavior database and is related to the target information, wherein the user behavior database comprises 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 quote the target recommendation information quickly; on the other hand, the input method can perform information recommendation according to user behavior data besides performing information recommendation based on words input by the user history, so that recommendation information can be closer to the habit of the user, and the user experience is improved.
Fig. 8 is a schematic diagram of a hardware structure of an electronic device according to an embodiment of the present invention.
The electronic device 800 includes, but is not limited to: a radio frequency unit 801, a network module 802, an audio output unit 803, an input unit 804, a sensor 805, a display unit 806, a user input unit 807, an interface unit 808, a memory 809, a processor 810, and a power supply 811. Those skilled in the art will appreciate that the electronic device configuration shown in fig. 8 does not constitute a limitation of the electronic device, and that the electronic device may include more or fewer components than shown, or some components may be combined, or a different arrangement of components. In the embodiment of the present invention, the electronic device includes, 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 an input method is called for information input; also for controlling the user input unit 807 to receive a first input operation on the input method interface; and is further configured to control the display unit 806 to display, in response to the first input operation, 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 an input method is called for information input, target information input from an input method interface can be acquired, an information recommendation function is started after a first input operation on the input method interface is received, and a recommendation interface is displayed, wherein the recommendation interface comprises at least one candidate information which is acquired from a user behavior database and is related to the target information, and the user behavior database comprises 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 quote the target recommendation information quickly; on the other hand, the input method can perform information recommendation according to user behavior data besides performing information recommendation based on words input by the user history, so that recommendation information can be closer 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 rf unit 801 may be used for receiving and transmitting signals during a message transmission or a call. In general, 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. Further, the radio frequency unit 801 can also communicate with a network and other devices through a wireless communication system.
The electronic device provides wireless broadband internet access to the user via the network module 802, such as to assist the user in sending and receiving e-mails, browsing web pages, and accessing streaming media.
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 related to a specific function performed by the electronic apparatus 800 (e.g., a call signal reception sound, a message reception sound, etc.). 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 Processing Unit (GPU) 8041 and a microphone 8042, and the Graphics processor 8041 processes 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 frames 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. The microphone 8042 can receive sound and can process such sound into an audio asset. The processed audio resources may be converted into a format output transmittable to a mobile communication base station via the radio frequency unit 801 in case of a phone call mode.
The electronic device 800 also includes at least one sensor 805, such as light sensors, motion sensors, and other sensors. Specifically, the light sensor includes an ambient light sensor that can adjust the brightness of the display panel 8081 according to the brightness of ambient light and a proximity sensor that can turn off the display panel 8081 and/or the backlight when the electronic device 800 is moved to the ear. As one type of motion sensor, an accelerometer sensor can detect the magnitude of acceleration in each direction (generally three axes), detect the magnitude and direction of gravity when stationary, and can be used to identify the posture of an electronic device (such as horizontal and vertical screen switching, related games, magnetometer posture calibration), and vibration identification related functions (such as pedometer, tapping); the sensors 805 may also include fingerprint sensors, pressure sensors, iris sensors, molecular sensors, gyroscopes, barometers, hygrometers, thermometers, infrared sensors, etc., which are not described in detail herein.
The display unit 806 is used to display information input by the 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 (LCD), an Organic Light-Emitting Diode (OLED), or the like.
The user input unit 807 may be used to receive input numeric or character information and generate key signal inputs related to user settings and function control of the electronic apparatus. Specifically, the user input unit 807 includes a touch panel 8071 and other input devices 8072. The touch panel 8071, also referred to as a touch screen, may collect touch operations by a user on or near the touch panel 8071 (e.g., operations by a user on or near the touch panel 8071 using a finger, a stylus, or any other suitable object or accessory). The touch panel 8071 may include two portions of a touch detection device and a touch controller. The touch detection device detects the touch direction 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 sensing device, converts the touch information into touch point coordinates, sends the touch point coordinates to the processor 810, receives a command from the processor 810, and executes the command. In addition, the touch panel 8071 can be implemented by various types such as a resistive type, a capacitive type, an infrared ray, and a 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, a physical keyboard, function keys (e.g., volume control keys, switch keys, etc.), a trackball, a mouse, and a joystick, which are not described in detail herein.
Further, the touch panel 8071 can be overlaid on the display panel 8061, and when the touch panel 8071 detects a touch operation on or near the touch panel 8071, the touch operation is transmitted to the processor 810 to determine the type of the touch event, and then the processor 810 provides a corresponding visual output on the display panel 8061 according to the type of the touch event. Although in fig. 8, the touch panel 8071 and the display panel 8061 are two independent components to implement 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, and the implementation is not limited herein.
The interface unit 808 is an interface for connecting an external device to the electronic apparatus 800. For example, the external device may include a wired or wireless headset port, an external power supply (or battery charger) port, a wired or wireless resource port, a memory card port, a port for connecting a device having an identification module, an audio input/output (I/O) port, a video I/O port, an earphone port, and the like. The interface unit 808 may be used to receive input from an external device (e.g., resource information, power, etc.) 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 the external device.
The processor 810 is a control center of the electronic device, connects various parts of the whole electronic device by 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 calling resources stored in the memory 809, thereby performing overall monitoring of the electronic device. Processor 810 may include one or more processing units; preferably, the processor 810 may integrate an application processor, which mainly handles operating systems, user interfaces, application programs, etc., and a modem processor, which mainly handles wireless communications. It will be appreciated that the modem processor described above may not be integrated into processor 810.
The electronic device 800 may further include a power supply 811 (e.g., a battery) for powering the various components, and preferably, the power supply 811 may be logically coupled to the processor 810 via a power management system to manage charging, discharging, and power consumption management functions via the power management system.
In addition, the electronic device 800 includes some functional modules that are not shown, and are not described in detail herein.
Embodiments of the present invention also provide a computer-readable storage medium, on which a computer program is stored, and when the computer program is executed in a computer, the computer is caused to execute the steps of the information recommendation method according to the embodiments 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 an … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
Through the above description of the embodiments, those skilled in the art will clearly understand that the method of the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but in many cases, the former is a better implementation manner. Based on such understanding, the technical solutions of the present invention may be embodied in the form of a software product, which is stored in a storage medium (such as ROM/RAM, magnetic disk, optical disk) and includes instructions for enabling an electronic device (such as a mobile phone, a computer, a server, an air conditioner, or a network device) to execute the method according to the embodiments of the present invention.
While the present invention has been described with reference to the embodiments shown in the drawings, the present invention is not limited to the embodiments, which are illustrative and not restrictive, and it will be apparent to those skilled in the art that various changes and modifications can be made therein without departing from the spirit and scope of the invention as defined in the appended claims.
Claims (10)
1. An information recommendation method, comprising:
when an input method is called for information input, target information input from an input method interface is acquired;
receiving a first input operation on the input method interface;
and displaying a recommendation interface in response to the first input operation, wherein the recommendation interface comprises at least one candidate information related to the target information acquired in a user behavior database.
2. The method of claim 1, further comprising, after the step of displaying a recommendation interface:
receiving a second input operation for 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 or 2, wherein the recommendation interface comprises at least one of the following:
the system comprises a keyword input area, a limited condition input area, a label information display area and a candidate information display area; wherein the display recommendation interface includes at least one of:
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 user-input additional condition information and/or selectable additional 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, wherein the candidate information comprises information matched in the user behavior database according to at least one of the target information, the additional condition information and the tag information.
4. The method of claim 3,
and the at least one candidate message is sequentially displayed in the candidate message display area according to the sequence of the matching degree and/or the priority from high to low.
5. The method of claim 4, wherein 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 in the user behavior database;
sequentially displaying at least one candidate message related to the target message according to the sequence from the third matching degree, the second matching degree to the first matching degree;
wherein the first matching degree is smaller than the second matching degree, and the second matching degree is smaller than the third matching degree.
6. The method of claim 4 or 5, wherein displaying a recommendation interface in response to the first input operation comprises:
acquiring at least one candidate message related to the target message from the user behavior database, wherein each candidate message in the at least one candidate message carries at least one tag message, and a weight value corresponding to the tag message is related to the priority;
respectively calculating the total weight value of each candidate message;
and sequentially displaying at least one candidate message related to the target message according to the sequence from high to low of the total weight value.
7. The method of claim 1, further comprising:
acquiring user behavior data;
generating the user behavior database according to the user behavior data;
wherein the user behavior data comprises at least one of: 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.
8. An information recommendation apparatus, 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 sending module is used for receiving a first input operation on the 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 which is acquired from a user behavior database and is related to the target information.
9. A terminal device comprising a processor, a memory and a computer program stored on the memory and executable on the processor, the computer program, when executed by the processor, implementing the steps in the information recommendation method according to any one of claims 1-7.
10. A computer-readable storage medium, characterized in that the computer-readable storage medium has stored thereon a computer program which, when being executed by a processor, carries out the steps in the information recommendation method according to any one of claims 1-7.
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