WO2020056772A1

WO2020056772A1 - Information recommendation method and device, terminal, and storage medium

Info

Publication number: WO2020056772A1
Application number: PCT/CN2018/107118
Authority: WO
Inventors: 谢琴
Original assignee: 深圳市欢太科技有限公司; Oppo广东移动通信有限公司
Priority date: 2018-09-21
Filing date: 2018-09-21
Publication date: 2020-03-26
Also published as: CN112639770A

Abstract

The embodiments of the present application provide an information recommendation method and device, a terminal, and a storage medium. Said method comprises: analyzing rapid record information recorded in a rapid record entry, so as to obtain a rapid record feature set; if the rapid record feature set comprises keywords for characterizing a task, determining a task execution location corresponding to the rapid record information; according to the task execution location and the rapid record feature set, acquiring information to be recommended; and recommending the information to be recommended.

Description

Information recommendation method and device, terminal and storage medium

Technical field

The embodiments of the present application relate to electronic technology, and relate to, but are not limited to, an information recommendation method and device, terminal, and storage medium.

Background technique

With the development of terminal technology, in order to meet the needs of people to record some to-do items, notes, inspirations, etc. in daily life and work, various shorthand applications and shorthand tools have appeared on the market for multitasking processors. , Forgetful people, inspiration creators, mobile workers and other groups bring great convenience.

In most shorthand applications, when a user clicks to view the shorthand content in the shorthand application, it is usually recommended for the user when the shorthand content is displayed. However, when recommending information based on shorthand content, redundant and meaningless messages are often recommended.

Summary of the Invention

In view of this, the embodiments of the present application provide an information recommendation method, device, terminal, and storage medium in order to solve at least one problem in the related technology.

The technical solution of the embodiment of the present application is implemented as follows:

In a first aspect, an embodiment of the present application provides an information recommendation method, where the method includes:

Analyze the shorthand information recorded in the shorthand entry to obtain the shorthand feature set;

If the shorthand feature set includes keywords for characterizing a task, determining a task execution location corresponding to the shorthand information;

Acquiring to-be-recommended information according to the task execution place and the shorthand feature set;

Recommend the information to be recommended.

In a second aspect, an embodiment of the present application provides an information recommendation device, where the device includes:

The shorthand analysis module is configured to analyze the shorthand information recorded by the shorthand entry to obtain a shorthand feature set;

A position determining module configured to determine a task execution location corresponding to the shorthand information if the shorthand feature set includes keywords for characterizing a task;

An information acquisition module configured to acquire information to be recommended according to the task execution location and the shorthand feature set;

The information recommendation module is configured to recommend the information to be recommended.

According to a third aspect, an embodiment of the present application provides a terminal including a memory and a processor. The memory stores a computer program that can be run on the processor. When the processor executes the program, the information in the information recommendation method is implemented. step.

In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium on which a computer program is stored. When the computer program is executed by a processor, the steps in the foregoing information recommendation method are implemented.

In the embodiment of the present application, after analyzing the shorthand information recorded in the shorthand entry to obtain a shorthand feature set, if the shorthand feature set includes keywords for characterizing a task, determining a task execution location corresponding to the shorthand information, The information to be recommended is obtained according to the task execution place and the shorthand feature set, and recommendation is performed. In this way, by combining the task execution place, when making information recommendation based on shorthand information, it is possible to avoid recommending some redundant and meaningless messages, and further improve the accuracy and intelligence of the information recommendation.

BRIEF DESCRIPTION OF THE DRAWINGS

1 is a schematic flowchart of an information recommendation method according to an embodiment of the present application;

2A is a schematic flowchart of another information recommendation method according to an embodiment of the present application;

2B is an interface diagram showing multiple shorthand entries according to an embodiment of the present application;

2C is a schematic flowchart of another method for recommending information according to an embodiment of the present application;

FIG. 3 is a schematic flowchart of implementing another information recommendation method according to an embodiment of the present application; FIG.

4 is a schematic structural diagram of an information recommendation device according to an embodiment of the present application;

FIG. 5 is a schematic diagram of a hardware entity of a terminal according to an embodiment of the present application.

detailed description

The technical solution of the present application will be further described in detail below with reference to the accompanying drawings and embodiments.

An embodiment of the present application provides an information recommendation method. The method is applied to a terminal. Generally, the terminal may be various types of electronic devices with information recommendation capabilities during the implementation process. For example, the terminal may include a mobile phone or a tablet. Computers, desktops, personal digital assistants, navigators, digital phones, video phones, televisions, sensing devices, etc. The functions implemented by this method can be implemented by the processor in the terminal calling program code. Of course, the program code can be stored in a computer storage medium. It can be seen that the terminal includes at least a processor and a storage medium.

FIG. 1 is a schematic flowchart of an information recommendation method according to an embodiment of the present application. As shown in FIG. 1, the method includes:

S101. Analyze the shorthand information recorded in the shorthand entry to obtain a shorthand feature set.

Understandably, the shorthand information refers to some information that a user quickly records through a terminal, for example, creative inspiration, to-do items, and the like. Normally, shorthand information is saved as shorthand entries, for example, saving shorthand information on a shorthand card. The shorthand feature set includes at least one shorthand feature. For example, the shorthand feature may be time, a person's name, a place name, a thing name, a keyword used to characterize a task, and the like.

S102. If the shorthand feature set includes keywords for characterizing a task, determine a task execution location corresponding to the shorthand information;

Understandably, if the shorthand feature set includes keywords used to characterize tasks, it indicates that the shorthand information may be recorded by the user to perform the task, for example, the shorthand information is "9.12 go to Shenzhen to participate in an academic seminar" , Where "participate" is a keyword used to characterize the task. Generally, if there is an action word in the shorthand feature set, the verb can be determined as a keyword used to characterize a task. For example, the shorthand feature set includes "meeting", "travel", "medical examination", "watching a movie", "shopping", "dating", "blind date", "interview", "injection", and other verb attributes. Shorthand features. Understandably, the task execution location refers to the task execution location when the user executes the task recorded in the shorthand information. For example, the shorthand information records "9.11 meets in Room 2101 of Xidian", where: "Western Electric's Room 2101" is the place where the task is performed when the task of "meeting" is performed; for another example, the shorthand information records "9.12 went to Shenzhen to participate in the academic seminar", of which "Shenzhen" is to perform "participate in academic seminars" The location at which the mission will be performed.

In other embodiments, if there are no keywords representing tasks in the shorthand feature set, the information to be recommended may be obtained directly according to the shorthand feature set. Generally speaking, if there is no verb in the shorthand feature set, that is, there is no verb in the shorthand information recorded by the shorthand entry, it can be inferred that the user may not record the task to be performed, but to record some information, for example, Only one dish name is recorded in the shorthand information. At this time, information to be recommended can be obtained based on the dish name, for example, recommending a cooking process corresponding to the dish name for the user; for another example, the shorthand information is a photo, and through image analysis, Get the shorthand feature of this photo as "beer of a certain brand". At this time, you can recommend related introduction of beers of this brand to the user according to "beer of a certain brand", or link to the product of the brand of beer for users to choose purchase.

S103. Obtain information to be recommended according to the task execution location and the shorthand feature set.

In other embodiments, according to the task execution place and the shorthand feature set, information associated with the task execution place and the shorthand feature in the shorthand feature set may be retrieved from an information recommendation database, for example, a task The place of execution is Chongqing, and the shorthand feature is the keywords: "9.11" and "travel". Then, at this time, you can retrieve the information about the special airfare from September 11 to Chongqing from the user's current recommendation database, or , Retrieve relevant information of hotels in Chongqing (for example, hotel name, hotel address, prices of different rooms in the hotel, etc.) from the information recommendation database, or retrieve relevant information of hot pot restaurants in Chongqing, etc. from the information recommendation database. It should be noted that the information recommendation database may be a database provided by a third party, for example, a database of a search engine, a database of an online shopping application, a database of news information, etc., or a service provider that implements the method. Database.

S104. Recommend the information to be recommended.

For example, displaying the to-be-recommended information in a notification bar; for another example, when the shorthand entry receives a viewing instruction, while displaying the shorthand information recorded by the shorthand entry, it is displayed below the shorthand entry The information to be recommended.

In the embodiment of the present application, after analyzing the shorthand information recorded in the shorthand entry to obtain a shorthand feature set, if the shorthand feature set includes keywords for characterizing a task, determine a task execution location corresponding to the shorthand information , And obtain to-be-recommended information according to the task execution location and the shorthand feature set, and make a recommendation. In this way, by combining the task execution place, when making information recommendation based on shorthand information, it is possible to avoid recommending some redundant and meaningless messages, and further improve the accuracy and intelligence of the information recommendation.

This embodiment of the present application provides another information recommendation method. FIG. 2A is a schematic flowchart of another information recommendation method according to an embodiment of the present application. As shown in FIG. 2A, the method includes the following steps:

S201. Receive a viewing instruction, where the viewing instruction is used to instruct displaying shorthand information of a shorthand entry record being viewed;

It should be noted that in actual applications, the user may save multiple shorthand entries, that is, record multiple shorthand information. In order to facilitate users to quickly find the shorthand entry that they want to view, as shown in FIG. 2B, in interface 20, The shorthand entries 21 to 2M are displayed in a collapsed state, where M is an integer greater than or equal to 1, that is, when the shorthand entries 21 to 2M are collapsed and displayed, only the shorthand entries 21 to 2M are displayed. Part of the recorded shorthand information, for example, only 10 characters are displayed. Therefore, when a user wants to view the complete shorthand information in a shorthand entry, they need to click the shorthand entry to be viewed.

S202. Determine N shorthand entries associated with the viewed shorthand entry according to the shorthand information recorded by the viewed shorthand entry, where N is an integer greater than or equal to 1.

In other embodiments, at least one shorthand feature is extracted from the shorthand information recorded by the viewed shorthand entry, and then the shorthand information recorded by the shorthand entry (including the viewed shorthand entry) that matches the shorthand feature is detected. Number, if the number of matching shorthand characteristics exceeds a preset number, it is determined that the shorthand entry is associated with the viewed shorthand entry; for example, the shorthand information recorded by the viewed shorthand entry is "can be designed on the bedroom bay window" "Book shelf", which includes shorthand features (ie, keywords) as "bedroom", "bay window", "design", "book shelf", and another shorthand entry recorded by the shorthand entry is "bedroom with a European-style lamp", which The included shorthand features are "bedroom", "equipped", and "light". Then, the shorthand features recorded in the other shorthand entry records and the shorthand features recorded in the shorthand information records of the viewed shorthand entries (ie, keywords) ) Matches: "Bedroom", "Fashion" (similar to the meaning of "Design"), assuming the preset number is 1, then determine that the other shorthand entry and the shorthand being viewed Entry association. It should be noted that the N shorthand entries include the shorthand entries being viewed.

S203: Analyze the shorthand information recorded in the N shorthand entries to obtain a shorthand feature set;

S204. Detect whether the shorthand feature set includes keywords for characterizing a task; if yes, perform step S205; otherwise, perform step S211;

Understandably, if the shorthand feature set includes keywords used to characterize tasks, the shorthand information records may be tasks or events to be performed by the user. For example, the keywords representing tasks are "meeting", "travel" , "Party" and other action words.

S205: Detect whether the shorthand feature set includes a keyword for characterizing a location; if yes, execute step S206; otherwise, execute step S207;

S206. Determine the task execution location according to the keywords representing the location, and then proceed to step S210.

For example, the shorthand information is "Saturday business trip to Chongqing". Through feature extraction, the shorthand feature set obtained includes "Saturday", "Chongqing", and "travel". Then, the keyword used to characterize the location is "Chongqing". At this time, "Chongqing" may be determined as the place where the task is performed.

S207: Detect whether the shorthand feature set includes task execution time; if yes, execute step S208; otherwise, execute step S209;

S208. Determine the position of the terminal at the task execution time as the task execution location, and then proceed to step S210;

Understandably, in order to be able to finally obtain the recommended information more in line with the actual needs of the user, if there is no keyword for characterizing the position in the shorthand feature set, it can be further detected whether the shorthand feature set includes a task The execution time, if any, determines the position of the terminal at the task execution time as the task execution place. For example, the shorthand information is “Saturday business trip”, and the corresponding shorthand feature set includes “Saturday” and “business trip”. Because there is no keyword used to characterize the location, the position of the terminal on Saturday can be determined as The place where the task is performed. In other embodiments, determining the position of the terminal at the task execution time as the task execution location includes: obtaining the terminal's location at a preset time interval within a time period corresponding to the task execution time. The current position, and detecting whether the distance between the current position of the terminal and the position of the terminal at a previous time exceeds a preset distance threshold; if the distance exceeds the distance threshold, the current position of the terminal is Determined as the place where the task is performed.

S209. Determine the current location of the terminal as the task execution location, and then proceed to step S210.

Understandably, if there is neither a keyword used to characterize a location nor the task execution time in the shorthand feature set, the current location of the terminal may be determined as the task execution location at this time, for example, The shorthand information is "watch a movie", and the corresponding shorthand feature set includes the keyword "movie". If the current position of the terminal is determined as the task execution location at this time, then according to the current position of the terminal and The keyword "movie" can be used to obtain a movie theater that is closer to the terminal's current location and recommend it to users.

S210: Acquire to-be-recommended information according to the task execution location and the shorthand feature set, and then proceed to step S212;

S211. Acquire the information to be recommended according to the shorthand feature set, and then proceed to step S212;

S212. Display the to-be-recommended information when displaying the shorthand information recorded by the viewed shorthand entry record.

In the embodiment of the present application, if the shorthand feature set includes a keyword for characterizing a location, the task execution location is determined according to the keyword representing the position; if the shorthand feature set does not include the A keyword to characterize the position, and the shorthand feature set includes task execution time, and the position of the terminal at the task execution time is determined as the task execution location; if the shorthand feature set does not have the for characterization The keyword of the location, and the task execution time is not included in the shorthand feature set, and the current location of the terminal is determined as the task execution location. In this way, the determined task execution location is more consistent with the actual recorded content of the shorthand information, so that more effective to-be-recommended information can be obtained according to the task execution location and shorthand feature set, that is, the to-be-recommended information that is more in line with user needs.

In other embodiments, for step S203, the analyzing the shorthand information recorded in the N shorthand entries to obtain a shorthand feature set includes:

S2031. Determine a shorthand type of one shorthand entry among the N shorthand entries;

It should be noted that in order to meet the needs of users in different application scenarios, to facilitate the user to quickly record some information, current shorthand applications usually have image shorthand functions, voice shorthand functions and text shorthand functions. Correspondingly, the shorthand types of shorthand entries are Video shorthand, voice shorthand, and text shorthand, where shorthand entries obtained through the video shorthand function generally include video or images, shorthand entries obtained through the voice shorthand function generally include voice data, and shorthand entries obtained through the text shorthand function generally include text information . Based on this, in other embodiments, the shorthand type of the one shorthand entry may be determined according to the data type of the shorthand information recorded by the one shorthand entry. For example, if the data type of the shorthand information recorded by the one shorthand entry is JPEG, that is, an image, then it can be determined that the shorthand type of the one shorthand entry is image shorthand. For another example, if the data type of the shorthand information recorded by the one shorthand entry is MP3, that is, a recording, then it can be determined that the shorthand type of the one shorthand entry is a voice shorthand.

S2032A. If the shorthand type is image shorthand, analyze the images in the one shorthand entry to obtain a shorthand feature subset, and determine the shorthand type of the next shorthand entry in the N shorthand entries;

Here, it should be noted that the image includes an image and a video. If the image in the shorthand entry is image data, the image may be analyzed to obtain a shorthand feature subset; if the image in the shorthand entry is video data, in addition to the video data, In addition to analyzing the frame image to obtain a shorthand feature subset, the voice data and text data in the video data can also be analyzed to obtain a shorthand feature subset. In other embodiments, if the one shorthand entry includes an image and a text label corresponding to the image, the shorthand feature extraction may be performed on the text label to obtain a shorthand feature subset. For example, the text label and the Fields that match the preset fields are determined as a shorthand feature subset. It should be noted that, in the embodiment of the present application, the field matching the preset field refers to a field that is the same as or similar in semantics to the preset field.

S2032B. If the shorthand type is a voice shorthand, perform semantic analysis on the voice data in the one shorthand entry to obtain a shorthand feature subset, and determine the shorthand type of the next shorthand entry in the N shorthand entries;

In other embodiments, if the one shorthand entry includes voice data and text content corresponding to the voice data, the text content corresponding to the voice data may be directly extracted from the text content corresponding to the voice data and matches a preset field. Field, and the field matching the preset field is determined as a shorthand feature subset.

S2032C. If the type of the shorthand is text shorthand, determine a field that matches the preset field in the text information of the one shorthand entry record as a shorthand feature subset, and determine the next shorthand among the N shorthand entries The shorthand type of the entry.

In other embodiments, for step S212, the recommending the information to be recommended, as shown in FIG. 2C, may include the following steps:

S2121. Establish a user preference model according to the shorthand information of the historical shorthand entry;

S2122. Determine the matching degree between the information to be recommended and the user according to the user preference model;

S2123: Recommend the information to be recommended whose matching degree exceeds a preset threshold.

Understandably, recommending only the information to be recommended whose matching degree exceeds a preset threshold can avoid recommending some redundant information.

This embodiment of the present application provides yet another information recommendation method, and FIG. 3 is a schematic flowchart of another information recommendation method according to the embodiment of the present application. As shown in FIG. 3, the method may include the following steps:

S301. Acquire current positioning information of a terminal.

It should be noted that the current positioning information is the task execution location described in the foregoing embodiment.

S302. Extract shorthand keywords from the shorthand entries being viewed;

It should be noted that the shorthand keywords are shorthand features in the shorthand feature set described in the foregoing embodiment.

S303. When searching according to the shorthand keywords, combine with the current positioning information to obtain a search result related to the current positioning information.

S304. Output the search result.

It should be noted that the search result is the information to be recommended according to the foregoing embodiment. Understandably, when searching according to the shorthand keywords, it is combined with the current positioning information to obtain search results related to the current positioning information, so that the usability of the search results can be improved. For example, if the current location information is Xi'an and the short-term keywords are hospitals, the search results obtained can be "characteristic departments of various hospitals in Xi'an", "Xi'an Hospital Ranking", and so on.

In the embodiments of the present application, the above information recommendation method can solve the problem of redundant and meaningless search results obtained when searching according to shorthand information in other embodiments, and further improve the accuracy and intelligence of the search results.

Based on the foregoing embodiments, an embodiment of the present application provides an information recommendation device. The device includes each module included, and each unit included in each module can be implemented by a processor in a terminal; of course, it can also be implemented by a specific In the implementation process, the processor may be a central processing unit (CPU), a microprocessor (MPU), a digital signal processor (DSP), or a field programmable gate array (FPGA).

FIG. 4 is a schematic structural diagram of an information recommendation device according to an embodiment of the present application. As shown in FIG. 4, the device 400 includes a shorthand analysis module 401, a location determination module 402, an information acquisition module 403, and an information recommendation module 404;

The shorthand analysis module 401 is configured to analyze the shorthand information recorded by the shorthand entry to obtain a shorthand feature set;

A position determining module 402 configured to determine a task execution location corresponding to the shorthand information if the shorthand feature set includes keywords for characterizing a task;

An information acquisition module 403 configured to acquire information to be recommended according to the task execution location and the shorthand feature set;

The information recommendation module 404 is configured to recommend the information to be recommended.

In other embodiments, the shorthand analysis module 401 includes:

A receiving unit configured to receive a viewing instruction, where the viewing instruction is used to instruct display of shorthand information of a shorthand entry record being viewed;

A determining unit configured to determine N shorthand entries associated with the viewed shorthand entry according to the shorthand information recorded by the viewed shorthand entry, where N is an integer greater than or equal to 1;

The analysis unit is configured to analyze the shorthand information recorded by the N shorthand entries to obtain a shorthand feature set.

In other embodiments, the analysis unit is configured to:

Determining a shorthand type of one shorthand entry among the N shorthand entries;

If the shorthand type is image shorthand, analyze the images in the one shorthand entry to obtain a shorthand feature subset, and determine the shorthand type of the next shorthand entry in the N shorthand entries;

If the shorthand type is a voice shorthand, perform a semantic analysis on the voice data in the one shorthand entry to obtain a shorthand feature subset, and determine the shorthand type of the next shorthand entry in the N shorthand entries;

If the type of shorthand is text shorthand, determine a field in the text information of the shorthand entry record that matches a preset field as a subset of shorthand features, and determine the next shorthand entry in the N shorthand entries. Shorthand type.

In other embodiments, the location determining module 402 is configured to:

If the shorthand feature set includes keywords for characterizing a location, determining the task execution location according to the keywords for characterizing the location;

If the keyword for characterizing the position is not included in the shorthand feature set and the task execution time is included in the shorthand feature set, determining the position of the device 400 at the task execution time as the task execution Ground

If the keyword for characterizing the position is not included in the shorthand feature set, and the task execution time is not included in the shorthand feature set, the current position of the device 400 is determined as the task execution place.

In other embodiments, the information recommendation module 404 includes:

A model establishing unit configured to establish a user preference model based on the shorthand information of the historical shorthand entries;

A matching degree determining unit configured to determine a matching degree between the information to be recommended and a user according to the user preference model;

The information recommendation unit is configured to recommend the information to be recommended whose matching degree exceeds a preset threshold.

The description of the above device embodiments is similar to the description of the above method embodiments, and has similar beneficial effects as the method embodiments. For technical details not disclosed in the device embodiments of the present application, please refer to the description of the method embodiments of the present application for understanding.

It should be noted that, in the embodiment of the present application, if the above information recommendation method is implemented in the form of a software function module and sold or used as an independent product, it may also be stored in a computer-readable storage medium. Based on this understanding, the technical solutions of the embodiments of the present application that are essentially or contribute to related technologies can be embodied in the form of software products. The computer software product is stored in a storage medium and includes several instructions to make The terminal (which may be a mobile phone, a tablet computer, a desktop computer, a personal digital assistant, a navigator, a digital phone, a video phone, a television, a sensing device, etc.) executes all or part of the methods described in the embodiments of the present application. The foregoing storage medium includes: a U disk, a mobile hard disk, a read-only memory (Read Only Memory, ROM), a magnetic disk, or an optical disk, which can store program codes. In this way, the embodiments of the present application are not limited to any specific combination of hardware and software.

Correspondingly, an embodiment of the present application provides a terminal. FIG. 5 is a schematic diagram of a hardware entity of the terminal according to the embodiment of the present application. As shown in FIG. 5, the terminal 500 includes a memory 501 and a processor 502. The memory 501 A computer program that can be run on the processor 502 is stored, and when the processor 502 executes the program, the steps in the information recommendation method provided in the foregoing embodiments are implemented.

It should be noted that the memory 501 is configured to store instructions and applications executable by the processor 502, and may also cache data to be processed or processed by each module in the processor 502 and the terminal 500 (for example, image data, audio data, (Voice communication data and video communication data), can be realized by flash memory (FLASH) or random access memory (Random Access Memory, RAM).

Correspondingly, an embodiment of the present application provides a computer-readable storage medium on which a computer program is stored. When the computer program is executed by a processor, the steps in the information recommendation method provided in the foregoing embodiment are implemented.

It should be noted here that the description of the above storage medium and device embodiments is similar to the description of the above method embodiments, and has similar beneficial effects as the method embodiments. For technical details not disclosed in the storage medium and device embodiments of this application, please refer to the description of the method embodiments of this application for understanding.

It should be understood that “an embodiment” or “an embodiment” mentioned throughout the specification means that a particular feature, structure, or characteristic related to the embodiment is included in at least one embodiment of the present application. Thus, the appearances of "in one embodiment" or "in an embodiment" appearing throughout the specification are not necessarily referring to the same embodiment. Furthermore, the particular features, structures, or characteristics may be combined in any suitable manner in one or more embodiments. It should be understood that, in the various embodiments of the present application, the size of the sequence numbers of the above processes does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not deal with the embodiments of the present application. The implementation process constitutes any limitation. The above-mentioned serial numbers of the embodiments of the present application are merely for description, and do not represent the superiority or inferiority of the embodiments.

It should be noted that, in this article, the terms "including", "including" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, It also includes other elements not explicitly listed, or elements inherent to such a process, method, article, or device. Without more restrictions, an element limited by the sentence "including a ..." does not exclude that there are other identical elements in the process, method, article, or device that includes the element.

In the several embodiments provided in this application, it should be understood that the disclosed device and method may be implemented in other ways. The device embodiments described above are only schematic. For example, the division of the unit is only a logical function division. In actual implementation, there may be another division manner, such as multiple units or components may be combined, or Can be integrated into another system, or some features can be ignored or not implemented. In addition, the displayed or discussed components are coupled, or directly coupled, or communicated with each other through some interfaces. The indirect coupling or communication connection of the device or unit may be electrical, mechanical, or other forms. of.

The units described above as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units; they may be located in one place or distributed across multiple network units; Some or all of the units may be selected according to actual needs to achieve the objective of the solution of this embodiment.

In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may be separately used as a unit, or two or more units may be integrated into one unit; the above integration The unit can be implemented in the form of hardware, or in the form of hardware plus software functional units.

A person of ordinary skill in the art may understand that all or part of the steps of the foregoing method embodiments may be implemented by a program instructing related hardware. The foregoing program may be stored in a computer-readable storage medium. When the program is executed, the execution includes Steps of the above method embodiment; and the foregoing storage medium includes: various types of media that can store program codes, such as a mobile storage device, a read-only memory (Read Only Memory, ROM), a magnetic disk, or an optical disc.

Alternatively, if the above-mentioned integrated unit of the present application is implemented in the form of a software functional module and sold or used as an independent product, it may also be stored in a computer-readable storage medium. Based on this understanding, the technical solutions of the embodiments of the present application that are essentially or contribute to related technologies can be embodied in the form of software products. The computer software product is stored in a storage medium and includes several instructions to make A terminal (which may be a mobile phone, a tablet computer, a desktop computer, a personal digital assistant, a navigator, a digital phone, a video phone, a television, a sensing device, etc.) executes all or part of the methods described in the embodiments of the present application. The foregoing storage media include: various types of media that can store program codes, such as a mobile storage device, a ROM, a magnetic disk, or an optical disc.

The above is only an implementation of this application, but the scope of protection of this application is not limited to this. Any person skilled in the art can easily think of changes or replacements within the technical scope disclosed in this application. Covered within the scope of this application. Therefore, the protection scope of this application shall be subject to the protection scope of the claims.

Industrial applicability

Claims

An information recommendation method, characterized in that the method includes:

Analyze the shorthand information recorded in the shorthand entry to obtain the shorthand feature set;

If the shorthand feature set includes keywords for characterizing a task, determining a task execution location corresponding to the shorthand information;

Acquiring to-be-recommended information according to the task execution place and the shorthand feature set;

Recommend the information to be recommended.
The method according to claim 1, wherein the analyzing the shorthand information recorded in the shorthand entry to obtain a shorthand feature set comprises:

Receiving a viewing instruction, the viewing instruction being used to instruct displaying shorthand information of a shorthand entry record being viewed;

Determine, according to the shorthand information recorded by the viewed shorthand entry, N shorthand entries associated with the viewed shorthand entry, where N is an integer greater than or equal to 1;

Analyze the shorthand information recorded by the N shorthand entries to obtain a shorthand feature set.
The method according to claim 2, wherein the analyzing the shorthand information recorded in the N shorthand entries to obtain a shorthand feature set comprises:

Determining a shorthand type of one shorthand entry among the N shorthand entries;

If the shorthand type is image shorthand, analyze the images in the one shorthand entry to obtain a shorthand feature subset, and determine the shorthand type of the next shorthand entry in the N shorthand entries.
The method according to claim 3, further comprising:

If the shorthand type is a voice shorthand, perform semantic analysis on the voice data in the one shorthand entry to obtain a shorthand feature subset, and determine the shorthand type of the next shorthand entry in the N shorthand entries.
The method according to claim 3, further comprising:

If the type of shorthand is text shorthand, determine a field in the text information of the shorthand entry record that matches a preset field as a subset of shorthand features, and determine the next shorthand entry in the N shorthand entries. Shorthand type.
The method according to any one of claims 1 to 3, wherein the determining a task execution location corresponding to the shorthand information comprises:

If the shorthand feature set includes keywords for characterizing a location, determining the task execution location according to the keywords for characterizing the location;

If the keyword for characterizing a position is not included in the shorthand feature set, and the shorthand feature set includes a task execution time, determining the position of the terminal at the task execution time as the task execution place;

If the keyword for characterizing a position is not included in the shorthand feature set, and the task execution time is not included in the shorthand feature set, the current position of the terminal is determined as the task execution place.
The method according to any one of claims 1 to 3, wherein the recommending the information to be recommended comprises:

Establish a user preference model based on the shorthand information of historical shorthand entries;

Determining a matching degree between the information to be recommended and the user according to the user preference model;

Recommending the information to be recommended whose matching degree exceeds a preset threshold.
An information recommendation device, characterized in that the device includes:

The shorthand analysis module is configured to analyze the shorthand information recorded by the shorthand entry to obtain a shorthand feature set;

A position determining module configured to determine a task execution location corresponding to the shorthand information if the shorthand feature set includes keywords for characterizing a task;

An information acquisition module configured to acquire information to be recommended according to the task execution location and the shorthand feature set;

The information recommendation module is configured to recommend the information to be recommended.
A terminal includes a memory and a processor, and the memory stores a computer program operable on the processor, wherein the processor implements the information according to any one of claims 1 to 7 when the processor executes the program. Steps in the recommended method.
A computer-readable storage medium having stored thereon a computer program, characterized in that when the computer program is executed by a processor, the steps in the information recommendation method according to any one of claims 1 to 7 are implemented.