CN109344335B

CN109344335B - Content recommendation method and electronic equipment

Info

Publication number: CN109344335B
Application number: CN201811567453.7A
Authority: CN
Inventors: 崔颖
Original assignee: Guangdong Genius Technology Co Ltd
Current assignee: Guangdong Genius Technology Co Ltd
Priority date: 2018-12-20
Filing date: 2018-12-20
Publication date: 2020-12-25
Anticipated expiration: 2038-12-20
Also published as: CN109344335A

Abstract

The invention relates to the technical field of electronic equipment, and discloses a content recommendation method and electronic equipment, wherein the content recommendation method comprises the following steps: detecting learning content information currently used by a user of the electronic equipment; acquiring target learning content related to the learning content information according to a preset operation relation map; determining a content identifier corresponding to the target learning content; and outputting and displaying a content recommendation interface containing the content identification through a display of the electronic equipment. By implementing the embodiment of the invention, the target learning content which is relatively large in association with the learning content currently used by the user can be obtained according to the preset operation relationship map, so that the electronic equipment recommends the target learning content to the user, the learning content with high user use probability is determined according to the previous operation information of the user, and the use rate of the recommended content of the electronic equipment is improved.

Description

Content recommendation method and electronic equipment

Technical Field

The invention relates to the technical field of electronic equipment, in particular to a content recommendation method and electronic equipment.

Background

With the rapid development of learning electronic equipment such as family education machines and learning tablets, many students choose to learn on the electronic equipment. Currently, in the learning process of students, the electronic device generally recommends functions related to current learning content on the electronic device to the students. In practice, it is found that the current content recommendation method generally recommends a similar function matching the current learning content to the student, however, the student does not generally need to use the similar function again for learning after the completion of the learning. It can be seen that the usage rate of the content recommended to the student based on the above content recommendation method is low.

Disclosure of Invention

The embodiment of the invention discloses a content recommendation method and electronic equipment, which can improve the utilization rate of recommended content.

The first aspect of the embodiments of the present invention discloses a content recommendation method, including:

detecting learning content information currently used by a user of the electronic equipment;

acquiring target learning content related to the learning content information according to a preset operation relation map;

determining a content identifier corresponding to the target learning content;

and outputting and displaying a content recommendation interface containing the content identification through a display of the electronic equipment.

As an optional implementation manner, in the first aspect of the embodiment of the present invention, before the obtaining, according to a preset operation relationship map, target learning content related to the learning content information, the method further includes:

acquiring preset learning content contained in the electronic equipment;

detecting related learning content started after the preset learning content;

calculating operation probability corresponding to each relevant learning content;

and constructing an operation relation map according to the preset learning content, the related learning content and the operation probability corresponding to the related learning content.

As an optional implementation manner, in the first aspect of the embodiment of the present invention, the acquiring, according to a preset operation relationship map, target learning content related to the learning content information includes:

determining the relevant learning content relevant to the learning content information from a preset operation relation map;

acquiring the operation probability that the related learning content is started after the learning content information;

and determining the relevant learning content with the operation probability being greater than the preset probability as the target learning content.

As an optional implementation manner, in the first aspect of the embodiment of the present invention, the detecting learning content information currently used by a user of an electronic device includes:

when the electronic equipment is detected to be in the running state, acquiring a current screen interface currently used by a user of the electronic equipment;

identifying an application interface contained in the current screen interface;

learning content information contained in the application interface is identified.

As an optional implementation manner, in the first aspect of the embodiment of the present invention, after the displaying, by the display of the electronic device, a content recommendation interface including the content identifier, the method further includes:

when the content recommendation interface is clicked, detecting the clicked coordinate in the content recommendation interface;

determining a target content identifier corresponding to the coordinates in the content recommendation interface;

and outputting and displaying the current learning content corresponding to the target content identification, and storing current opening operation information, wherein the opening operation information indicates that the current learning content is opened after the learning content information.

A second aspect of an embodiment of the present invention discloses an electronic device, including:

a first detection unit configured to detect learning content information currently used by a user of the electronic device;

a first obtaining unit, configured to obtain target learning content related to the learning content information according to a preset operation relationship map;

a first determining unit, configured to determine a content identifier corresponding to the target learning content;

and the output unit is used for outputting and displaying a content recommendation interface containing the content identification through a display of the electronic equipment.

As an optional implementation manner, in the second aspect of the embodiment of the present invention, the electronic device further includes:

a second obtaining unit, configured to obtain preset learning content included in the electronic device before the first obtaining unit obtains target learning content related to the learning content information according to a preset operation relationship map;

the second detection unit is used for detecting related learning content started after the preset learning content;

a calculating unit, configured to calculate an operation probability corresponding to each of the related learning contents;

and the construction unit is used for constructing an operation relation map according to the preset learning content, the related learning content and the operation probability corresponding to the related learning content.

As an optional implementation manner, in a second aspect of the embodiment of the present invention, the first obtaining unit includes:

a first determining subunit, configured to determine, from a preset operation relationship map, the relevant learning content relevant to the learning content information;

an obtaining subunit, configured to obtain the operation probability that the relevant learning content is turned on after the learning content information;

and the second determining subunit is used for determining the relevant learning content with the operation probability larger than the preset probability as the target learning content.

As an optional implementation manner, in a second aspect of the embodiment of the present invention, the first detection unit includes:

the detection subunit is used for acquiring a current screen interface currently used by a user of the electronic equipment when the electronic equipment is detected to be in the running state;

the first identification subunit is used for identifying the application interfaces contained in the current screen interface;

and the second identification subunit is used for identifying the learning content information contained in the application interface.

the third detection unit is used for detecting the clicked coordinate in the content recommendation interface after the output unit outputs and displays the content recommendation interface containing the content identification through the display of the electronic equipment and when the content recommendation interface is detected to be clicked;

the second determining unit is used for determining a target content identifier corresponding to the coordinates in the content recommendation interface;

and the storage unit is used for outputting and displaying the current learning content corresponding to the target content identification and storing the current opening operation information, wherein the opening operation information indicates that the current learning content is opened after the learning content information.

A third aspect of the embodiments of the present invention discloses another electronic device, including:

a memory storing executable program code;

a processor coupled with the memory;

the processor calls the executable program code stored in the memory to perform part or all of the steps of any one of the methods of the first aspect.

A fourth aspect of the present embodiments discloses a computer-readable storage medium storing a program code, where the program code includes instructions for performing part or all of the steps of any one of the methods of the first aspect.

A fifth aspect of embodiments of the present invention discloses a computer program product, which, when run on a computer, causes the computer to perform some or all of the steps of any one of the methods of the first aspect.

A sixth aspect of the present embodiment discloses an application publishing platform, where the application publishing platform is configured to publish a computer program product, where the computer program product is configured to, when running on a computer, cause the computer to perform part or all of the steps of any one of the methods in the first aspect.

Compared with the prior art, the embodiment of the invention has the following beneficial effects:

in the embodiment of the invention, the learning content information currently used by a user of the electronic equipment is detected; acquiring target learning content related to the learning content information according to a preset operation relation map; determining a content identifier corresponding to the target learning content; and outputting and displaying a content recommendation interface containing the content identification through a display of the electronic equipment. Therefore, by implementing the embodiment of the invention, the target learning content which is relatively large in association with the learning content currently used by the user can be obtained according to the preset operation relationship map, so that the electronic equipment recommends the target learning content to the user, the learning content with high user use probability is determined according to the past operation information of the user, and the use rate of the recommended content of the electronic equipment is improved.

Drawings

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

FIG. 1 is a flow chart of a content recommendation method according to an embodiment of the present invention;

FIG. 2 is a flow chart illustrating another content recommendation method according to an embodiment of the present invention;

FIG. 3 is a flow chart illustrating another content recommendation method according to an embodiment of the present invention;

fig. 4 is a schematic structural diagram of an electronic device according to an embodiment of the disclosure;

FIG. 5 is a schematic structural diagram of another electronic device disclosed in the embodiments of the present invention;

FIG. 6 is a schematic structural diagram of another electronic device disclosed in the embodiments of the present invention;

fig. 7 is a schematic structural diagram of another electronic device disclosed in the 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 only a part of the embodiments of the present invention, and not all of the embodiments. 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.

It is to be noted that the terms "comprises" and "comprising" and any variations thereof in the embodiments and drawings of the present invention are intended to cover non-exclusive inclusions. For example, a process, method, system, article, or apparatus that comprises a list of steps or elements is not limited to only those steps or elements listed, but may alternatively include other steps or elements not listed, or inherent to such process, method, article, or apparatus.

The embodiment of the invention discloses a content recommendation method and electronic equipment, which can acquire target learning content which is relatively large in association with the learning content currently used by a user according to a preset operation relation map so that the electronic equipment recommends the target learning content to the user, and therefore the learning content with high user use probability is determined according to the past operation information of the user so as to improve the use rate of the recommended content of the electronic equipment. The following are detailed below.

Example one

Referring to fig. 1, fig. 1 is a schematic flow chart illustrating a content recommendation method according to an embodiment of the present invention. As shown in fig. 1, the content recommendation method may include the steps of:

101. the electronic device detects learning content information currently used by a user of the electronic device.

In the embodiment of the present invention, the electronic device may be a family education machine, a learning tablet, a smart phone, or the like, which is not limited in the embodiment of the present invention.

In this embodiment of the present invention, the learning content information may be information of an application program on the electronic device currently used by the user, may also be information of a website that the user currently logs in through a browser of the electronic device, and may also be information of any application module in any application program on the electronic device currently used by the user, which is not limited in this embodiment of the present invention.

102. And the electronic equipment acquires target learning content related to the learning content information according to a preset operation relation map.

In the embodiment of the present invention, the preset operation relationship map may be used to represent a probability that any one of the learning contents in the current electronic device jumps to any one of the learning contents in the electronic device except the learning content, and represents a probability that a user usually performs a jump operation between the learning contents in the electronic device.

103. The electronic equipment determines a content identifier corresponding to the target learning content.

In the embodiment of the invention, the content identifier corresponding to the target learning content can be an icon, and the icon can uniquely represent one learning content, so that the electronic device can uniquely determine one learning content according to the icon.

104. The electronic equipment outputs and displays a content recommendation interface containing the content identification through a display of the electronic equipment.

In the embodiment of the present invention, the content recommendation interface may be displayed at any position of the display screen of the electronic device, for example, the content recommendation interface may be displayed below the display screen of the electronic device in a form of a bar frame, and the like.

In the embodiment of the present invention, the display modes of the content identifiers included in the content recommendation interface may be randomly arranged, or may be ordered according to the operation probability corresponding to the learning content represented by the content identifier and a preset rule, which is not limited in the embodiment of the present invention.

As an alternative implementation, before the electronic device performs step 104, the following steps may also be performed:

the electronic equipment detects whether the content recommendation permission is opened or not;

if the content recommendation interface is started, the electronic equipment outputs and displays the content recommendation interface containing the content identification through a display of the electronic equipment;

if not, the electronic equipment outputs a content recommendation permission start prompt interface, and the content recommendation permission start prompt interface is used for reminding a user of the electronic equipment whether to start the content recommendation permission or not;

when the fact that the user inputs an instruction needing to open the content recommendation permission through the content recommendation permission opening prompt interface is detected, the electronic equipment outputs and displays the content recommendation interface containing the content identification through a display of the electronic equipment.

By the implementation of the implementation mode, the target learning content can be recommended to the user on the premise of determining that the user starts the content recommendation permission, the situation that the electronic equipment recommends the target learning content at any time so as to disturb the normal use of the electronic equipment by the user is avoided, and the permission control of the user on the electronic equipment is improved.

In the method described in fig. 1, the target learning content having a relatively large association with the learning content currently used by the user can be acquired according to the preset operation relationship map, so that the electronic device recommends the target learning content to the user, and therefore, the learning content having a relatively high user usage probability is determined according to the past operation information of the user, so as to improve the usage rate of the recommended content of the electronic device. In addition, the method described in fig. 1 is implemented to improve the authority control of the user on the electronic device.

Example two

Referring to fig. 2, fig. 2 is a flowchart illustrating another content recommendation method according to an embodiment of the present invention. As shown in fig. 2, the content recommendation method may include the steps of:

201. the electronic equipment acquires preset learning content contained in the electronic equipment.

In the embodiment of the present invention, the preset learning content may be an application program pre-installed in the electronic device, a plurality of application modules included in the application program, and the like, and in addition, a new application program added in a subsequent use process of the electronic device or an application module updated in the application program, and the like, may be added to the preset learning content.

202. The electronic equipment detects the related learning content which is started after the preset learning content.

203. The electronic device calculates an operation probability corresponding to each relevant learning content.

In the embodiment of the present invention, the electronic device may obtain the total number of times of the related learning content that is started after any one preset learning content, and obtain the sub-number of times corresponding to each related learning content that is started after the preset learning content, where one related learning content corresponds to one sub-number of times, and the electronic device may calculate a ratio of the sub-number of times corresponding to each related learning content to the total number of times to obtain the operation probability corresponding to each related learning content.

204. The electronic equipment constructs an operation relation map according to preset learning content, the related learning content and the operation probability corresponding to the related learning content.

In the embodiment of the present invention, by implementing the above steps 201 to 204, the probability of the relevant learning content which is started after each learning content is obtained by calculation according to the past operation record, so that the operation relationship map between the learning contents is constructed according to the calculated probability, so that the operation relationship map constructed in advance is more accurate.

205. The electronic device detects learning content information currently used by a user of the electronic device.

206. The electronic equipment determines relevant learning content related to the learning content information from a preset operation relationship map.

In the embodiment of the invention, the learning content started after each current learning content can be associated in the operation relationship map, and is determined as the related learning content related to the current learning content, so that the related learning content related to the learning content information, which is acquired by the electronic equipment according to the operation relationship map, is more comprehensive.

207. The electronic device obtains an operation probability that the relevant learning content is turned on after learning content information.

208. The electronic equipment determines the relevant learning content with the operation probability larger than the preset probability as the target learning content.

In the embodiment of the present invention, by implementing the steps 206 to 208, a plurality of target learning contents with higher operation probability corresponding to the opening operation after the learning content information is determined from the preset operation relationship map, so that the probability that the learning content recommended to the user by the electronic device is opened by the user is increased.

As an optional implementation manner, the manner of determining, by the electronic device, the relevant learning content with the operation probability greater than the preset probability as the target learning content may include the following steps:

the electronic equipment determines the relevant learning content with the operation probability larger than the preset probability as the alternative learning content;

the electronic equipment detects the number of the alternative learning contents;

the electronic equipment judges whether the quantity of the alternative learning contents is greater than a preset maximum quantity or not;

if not, the electronic equipment determines all the alternative learning contents as the related learning contents;

if yes, the electronic equipment sequences the alternative learning contents from large to small according to the operation probabilities corresponding to the alternative learning contents, and the sequence numbers corresponding to the alternative learning contents with larger operation probabilities are smaller; and determining the alternative learning content with the sequence number less than or equal to the preset maximum number as the related learning content.

By implementing the implementation mode, the quantity of the relevant learning content recommended by the electronic equipment can be controlled, so that the quantity of the learning content identifications output by the electronic equipment is not more than the preset maximum quantity, the condition that a user spends a long time to search the learning content identification corresponding to the learning content needing to be started due to the fact that the quantity of the learning content identifications output by the electronic equipment is too large is avoided, and the interactivity of the electronic equipment is optimized.

209. The electronic equipment determines a content identifier corresponding to the target learning content.

210. The electronic equipment outputs and displays a content recommendation interface containing the content identification through a display of the electronic equipment.

In the method described in fig. 2, the target learning content having a relatively large association with the learning content currently used by the user can be acquired according to the preset operation relationship map, so that the electronic device recommends the target learning content to the user, and therefore, the learning content having a relatively high user usage probability is determined according to the past operation information of the user, so as to improve the usage rate of the recommended content of the electronic device. In addition, the method described in fig. 2 can be implemented to make the pre-constructed operational relationship map more accurate. In addition, the method described in fig. 2 can be implemented to increase the probability that the learning content recommended to the user by the electronic device is turned on by the user. In addition, the method described in fig. 2 is implemented to optimize the interactivity of the electronic device.

EXAMPLE III

Referring to fig. 3, fig. 3 is a flowchart illustrating another content recommendation method according to an embodiment of the disclosure. As shown in fig. 3, the content recommendation method may include the steps of:

301. when the electronic equipment detects that the electronic equipment is in the running state, the current screen interface currently used by a user of the electronic equipment is obtained.

In the embodiment of the invention, the running state can be that the display of the electronic equipment is started, and can also be that the electronic equipment runs any operation. The mode of the electronic device for acquiring the current screen interface may be to perform screen capture operation on the current screen to obtain a screen capture of the current screen, so that the screen capture includes all interface information running in the current screen.

302. The electronic device identifies an application interface included in the current screen interface.

In the embodiment of the present invention, the current screen interface may include one or more application interfaces, however, when the user uses the application program of the electronic device, the user can only use one application program in the electronic device at a certain time, and therefore the electronic device may determine the application interface currently being used by the user according to the interaction between the user and the application program in the electronic device.

303. The electronic device identifies learning content information contained in the application interface.

In the embodiment of the present invention, by implementing steps 301 to 303, the application interface included in the current screen interface of the electronic device can be automatically identified, and the learning content information currently used by the user included in the application interface can be automatically identified, so that the intelligent degree of the electronic device is improved.

304. And the electronic equipment acquires target learning content related to the learning content information according to a preset operation relation map.

305. The electronic equipment determines a content identifier corresponding to the target learning content.

306. The electronic equipment outputs and displays a content recommendation interface containing the content identification through a display of the electronic equipment.

307. When the content recommendation interface is detected to be clicked, the electronic equipment detects the clicked coordinate in the content recommendation interface.

In the embodiment of the invention, the electronic equipment can establish the rectangular plane coordinate system based on the content recommendation interface, and the user usually only corresponds to any point in the content recommendation interface when clicking the content recommendation interface, so that the electronic equipment can acquire the coordinates of the point corresponding to the clicking operation in the rectangular plane coordinate system of the content recommendation interface, and in addition, the electronic equipment can determine the coordinate range of each target content identifier according to the position of the target content identifier in the content recommendation interface, so that the electronic equipment determines the target content identifier clicked by the user according to the acquired coordinates corresponding to the clicking operation of the user.

308. And the electronic equipment determines a target content identifier corresponding to the coordinates in the content recommendation interface.

309. The electronic equipment outputs and displays the current learning content corresponding to the target content identification, and stores the current opening operation information, wherein the opening operation information shows that the current learning content is opened after the learning content information.

In this embodiment of the present invention, after the foregoing steps 307 to 309 are implemented, the content identifier in the content recommendation interface clicked by the user may be detected after the content recommendation interface is output, so as to start the corresponding current learning content through the detected target content identifier clicked by the user, and record the current start operation of the user, so that the electronic device updates the operation relationship map according to the current start operation, so that the operation relationship map may be dynamically updated according to the operation of the user.

As an alternative embodiment, after the electronic device performs step 309, the following steps may be further performed:

the electronic equipment calculates the latest operation probability of starting related learning content corresponding to the learning content information according to the starting relation between the learning content information contained in the starting operation information and the current learning content;

the electronic equipment updates the operation relation map according to the latest operation probability;

the method comprises the steps that target related learning content related to current learning content is determined by an operation relation map updated by the electronic equipment;

the electronic device outputs and displays a content recommendation interface containing content identification of the target related learning content.

By implementing the implementation mode, the operation relation map can be updated according to each starting operation of the user, the target related learning content related to the current learning content currently used by the user is determined according to the latest operation relation map, the target related learning content is recommended to the user, and the intelligence of the electronic equipment is improved.

In the method described in fig. 3, the target learning content having a relatively large association with the learning content currently used by the user can be acquired according to the preset operation relationship map, so that the electronic device recommends the target learning content to the user, and therefore, the learning content having a relatively high user usage probability is determined according to the past operation information of the user, so as to improve the usage rate of the recommended content of the electronic device. In addition, the method described in fig. 3 is implemented to improve the intelligence of the electronic device. In addition, the method described in fig. 3 is implemented, so that the operation relationship map can be dynamically updated according to the operation of the user. In addition, the method described in fig. 3 is implemented, and the intelligence of the electronic device is improved.

Example four

Referring to fig. 4, fig. 4 is a schematic structural diagram of an electronic device according to an embodiment of the disclosure. As shown in fig. 4, the electronic device may include:

a first detection unit 401, configured to detect learning content information currently used by a user of an electronic device.

A first obtaining unit 402, configured to obtain target learning content related to the learning content information detected by the first detecting unit 401 according to a preset operation relationship map.

A first determining unit 403, configured to determine a content identifier corresponding to the target learning content acquired by the first acquiring unit 402.

An output unit 404, configured to output and display a content recommendation interface including the content identifier determined by the first determining unit 403 through a display of the electronic device.

As an alternative implementation, the output unit 404 may further be configured to:

detecting whether the content recommendation authority is started;

if the content recommendation interface is started, outputting and displaying a content recommendation interface containing the content identification through a display of the electronic equipment;

if not, outputting a content recommendation permission start prompt interface, wherein the content recommendation permission start prompt interface is used for reminding a user of the electronic equipment whether to start the content recommendation permission;

when the fact that the user inputs an instruction needing to open the content recommendation permission through the content recommendation permission opening prompt interface is detected, the content recommendation interface containing the content identification is output and displayed through a display of the electronic equipment.

Therefore, in the electronic device described in fig. 4, the target learning content having a relatively large association with the learning content currently used by the user can be acquired according to the preset operation relationship map, so that the electronic device recommends the target learning content to the user, and therefore, the learning content having a relatively high user use probability is determined according to the past operation information of the user, so as to improve the use rate of the recommended content of the electronic device. Furthermore, in the electronic device depicted in fig. 4, the user's right control of the electronic device is improved.

EXAMPLE five

Referring to fig. 5, fig. 5 is a schematic structural diagram of another electronic device according to an embodiment of the disclosure. The electronic device shown in fig. 5 is optimized from the electronic device shown in fig. 4. Compared to the electronic device shown in fig. 4, the electronic device shown in fig. 5 may further include:

a second obtaining unit 405, configured to obtain preset learning content included in the electronic device before the first obtaining unit 402 obtains target learning content related to the learning content information according to a preset operation relationship map.

A second detecting unit 406, configured to detect related learning content that is turned on after the preset learning content acquired by the second acquiring unit 405.

A calculating unit 407, configured to calculate an operation probability corresponding to each relevant learning content detected by the second detecting unit 406.

The constructing unit 408 is configured to construct an operation relationship map according to the preset learning content acquired by the second acquiring unit 405, the relevant learning content detected by the second detecting unit 406, and the operation probability corresponding to the relevant learning content obtained by the calculating unit 407.

In the embodiment of the invention, the probability of the related learning content started after each learning content can be calculated according to the previous operation records, so that the operation relation map among the learning contents is constructed according to the calculated probability, and the operation relation map constructed in advance is more accurate.

As an alternative implementation, the first obtaining unit 402 of the electronic device shown in fig. 5 may include:

a first determining subunit 4021, configured to determine, from a preset operation relationship map, relevant learning content related to the learning content information detected by the first detecting unit 401;

an acquisition subunit 4022 configured to acquire an operation probability that the relevant learning content determined by the first determination subunit 4021 is turned on after the learning content information;

a second determining subunit 4023, configured to determine that the relevant learning content determined by the first determining subunit 4021, where the operation probability acquired by the acquiring subunit 4022 is greater than the preset probability, is the target learning content.

By implementing the implementation mode, the target learning contents with higher operation probability corresponding to the opening operation after the learning content information is determined from the preset operation relation map, so that the probability that the learning contents recommended to the user by the electronic equipment are opened by the user is increased.

As an optional implementation manner, the manner in which the second determining subunit 4023 determines, as the target learning content, the relevant learning content with the operation probability being greater than the preset probability may specifically be:

determining the relevant learning content with the operation probability larger than the preset probability as the alternative learning content;

detecting the number of the alternative learning contents;

judging whether the number of the alternative learning contents is greater than a preset maximum number or not;

if not, all the alternative learning contents are determined as related learning contents;

if yes, sequencing the alternative learning contents from large to small according to the operation probabilities corresponding to the alternative learning contents, wherein the sequence numbers corresponding to the alternative learning contents with larger operation probabilities are smaller; and determining the alternative learning content with the sequence number less than or equal to the preset maximum number as the related learning content.

Therefore, in the electronic device described in fig. 4, the target learning content having a relatively large association with the learning content currently used by the user can be acquired according to the preset operation relationship map, so that the electronic device recommends the target learning content to the user, and therefore, the learning content having a relatively high user use probability is determined according to the past operation information of the user, so as to improve the use rate of the recommended content of the electronic device. In addition, in the electronic device described in fig. 4, the previously constructed operation relationship map can be made more accurate. In addition, in the electronic device described in fig. 4, the probability that the learning content recommended to the user by the electronic device is turned on by the user may be increased. Furthermore, in the electronic device depicted in fig. 4, the interactivity of the electronic device is optimized.

EXAMPLE six

Referring to fig. 6, fig. 6 is a schematic structural diagram of another electronic device according to an embodiment of the disclosure. The electronic device shown in fig. 6 is optimized from the electronic device shown in fig. 5. Compared to the electronic device shown in fig. 5, the first detection unit 401 of the electronic device shown in fig. 6 may include:

the detecting sub-unit 4011 is configured to, when it is detected that the electronic device is in an operating state, obtain a current screen interface currently used by a user of the electronic device.

And a first identifying subunit 4012, configured to identify an application interface included in the current screen interface detected by the detecting subunit 4011.

And the second identifying subunit 4013 is configured to identify the learning content information included in the application interface identified by the first identifying subunit 4012.

According to the embodiment of the invention, the application interface contained in the current screen interface of the electronic equipment can be automatically identified, and the learning content information currently used by the user contained in the application interface can be automatically identified, so that the intelligent degree of the electronic equipment is improved.

As an alternative implementation, the electronic device shown in fig. 6 may further include:

a third detecting unit 409, configured to detect a coordinate clicked in the content recommendation interface after the output unit 404 displays the content recommendation interface including the content identifier through the display of the electronic device, and when it is detected that the content recommendation interface output by the output unit 404 is clicked;

a second determining unit 410, configured to determine a target content identifier corresponding to the coordinate detected by the third detecting unit 409 in the content recommendation interface output by the output unit 404;

a storage unit 411, configured to output and display the current learning content corresponding to the target content identifier determined by the second determining unit 410, and store current opening operation information, where the opening operation information indicates that the current learning content is opened after the learning content information.

By implementing the implementation mode, the content identification in the content recommendation interface clicked by the user can be detected after the content recommendation interface is output, so that the corresponding current learning content is started through the detected target content identification clicked by the user, and the starting operation of the user at this time is recorded, so that the electronic equipment updates the operation relationship map according to the starting operation at this time, and the operation relationship map can be dynamically updated according to the operation of the user.

As an alternative implementation, the storage unit 411 may be further configured to:

calculating the latest operation probability of starting related learning content corresponding to the learning content information according to the starting relation between the learning content information contained in the starting operation information and the current learning content;

updating an operation relation map according to the latest operation probability;

determining target related learning content related to the current learning content by the updated operation relation map;

and outputting and displaying a content recommendation interface containing the content identification of the target related learning content.

As can be seen, in the electronic device described in fig. 6, the target learning content having a relatively large association with the learning content currently used by the user can be obtained according to the preset operation relationship map, so that the electronic device recommends the target learning content to the user, and thus the learning content having a relatively high user probability is determined according to the past operation information of the user, so as to improve the usage rate of the recommended content of the electronic device. In addition, in the electronic device described in fig. 6, the degree of intelligence of the electronic device is improved. Further, in the electronic apparatus described in fig. 6, the operation relationship map may be made dynamically updatable according to the operation of the user. In addition, in the electronic device described in fig. 6, the intelligence of the electronic device is improved.

EXAMPLE seven

Referring to fig. 7, fig. 7 is a schematic structural diagram of another electronic device according to an embodiment of the disclosure. As shown in fig. 7, the electronic device may include:

a memory 701 in which executable program code is stored;

a processor 702 coupled to the memory 701;

wherein, the processor 702 calls the executable program code stored in the memory 701 to execute part or all of the steps of the method in the above method embodiments.

The embodiment of the invention also discloses a computer readable storage medium, wherein the computer readable storage medium stores program codes, wherein the program codes comprise instructions for executing part or all of the steps of the method in the above method embodiments.

Embodiments of the present invention also disclose a computer program product, wherein, when the computer program product is run on a computer, the computer is caused to execute part or all of the steps of the method as in the above method embodiments.

The embodiment of the present invention also discloses an application publishing platform, wherein the application publishing platform is used for publishing a computer program product, and when the computer program product runs on a computer, the computer is caused to execute part or all of the steps of the method in the above method embodiments.

It should be appreciated that reference throughout this specification to "an embodiment of the present invention" means that a particular feature, structure or characteristic described in connection with the embodiment is included in at least one embodiment of the present invention. Thus, the appearances of the phrase "in embodiments of the invention" appearing in various places throughout the specification are not necessarily all referring to the same embodiments. Furthermore, the particular features, structures, or characteristics may be combined in any suitable manner in one or more embodiments. Those skilled in the art should also appreciate that the embodiments described in this specification are exemplary and alternative embodiments, and that the acts and modules illustrated are not required in order to practice the invention.

In various embodiments of the present invention, it should be understood that the sequence numbers of the above-mentioned processes do not imply an inevitable order of execution, and the execution order of the processes should be determined by their functions and inherent logic, and should not constitute any limitation on the implementation process of the embodiments of the present invention.

In addition, the terms "system" and "network" are often used interchangeably herein. It should be understood that the term "and/or" herein is merely one type of association relationship describing an associated object, meaning that three relationships may exist, for example, a and/or B, may mean: a exists alone, A and B exist simultaneously, and B exists alone. In addition, the character "/" herein generally indicates that the former and latter related objects are in an "or" relationship.

In the embodiments provided herein, it should be understood that "B corresponding to a" means that B is associated with a from which B can be determined. It should also be understood, however, that determining B from a does not mean determining B from a alone, but may also be determined from a and/or other information.

It will be understood by those skilled in the art that all or part of the steps in the methods of the embodiments described above may be implemented by hardware instructions of a program, and the program may be stored in a computer-readable storage medium, where the storage medium includes Read-Only Memory (ROM), Random Access Memory (RAM), Programmable Read-Only Memory (PROM), Erasable Programmable Read-Only Memory (EPROM), One-time Programmable Read-Only Memory (OTPROM), Electrically Erasable Programmable Read-Only Memory (EEPROM), Compact Disc Read-Only Memory (CD-ROM), or other Memory, such as a magnetic disk, or a combination thereof, A tape memory, or any other medium readable by a computer that can be used to carry or store data.

The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.

In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.

The integrated units, if implemented as software functional units and sold or used as a stand-alone product, may be stored in a computer accessible memory. Based on such understanding, the technical solution of the present invention, which is a part of or contributes to the prior art in essence, or all or part of the technical solution, can be embodied in the form of a software product, which is stored in a memory and includes several requests for causing a computer device (which may be a personal computer, a server, a network device, or the like, and may specifically be a processor in the computer device) to execute part or all of the steps of the above-described method of each embodiment of the present invention.

The content recommendation method and the electronic device disclosed in the embodiments of the present invention are described in detail above, and the principles and embodiments of the present invention are explained herein by applying specific examples, and the description of the embodiments is only used to help understanding the method and the core idea of the present invention; meanwhile, for a person skilled in the art, according to the idea of the present invention, there may be variations in the specific embodiments and the application scope, and in summary, the content of the present specification should not be construed as a limitation to the present invention.

Claims

1. A method for recommending content, the method comprising:

determining a content identifier corresponding to the target learning content;

outputting and displaying a content recommendation interface containing the content identification through a display of the electronic equipment;

before obtaining the target learning content related to the learning content information according to the preset operation relationship map, the method further includes:

acquiring preset learning content contained in the electronic equipment;

detecting related learning content started after the preset learning content;

2. The method according to claim 1, wherein the obtaining of the target learning content related to the learning content information according to the preset operation relationship map comprises:

3. The method according to any one of claims 1-2, wherein the detecting learning content information currently used by a user of the electronic device comprises:

identifying an application interface contained in the current screen interface;

4. The method according to any one of claims 1-2, wherein after the content recommendation interface including the content identifier is output and displayed through a display of the electronic device, the method further comprises:

5. An electronic device, comprising:

the output unit is used for outputting and displaying a content recommendation interface containing the content identification through a display of the electronic equipment;

6. The electronic device according to claim 5, wherein the first acquisition unit includes:

7. The electronic device according to any one of claims 5 to 6, wherein the first detection unit includes:

8. The electronic device according to any one of claims 5 to 6, further comprising: