CN111104026A - Method and device for recommending service - Google Patents
Method and device for recommending service Download PDFInfo
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- CN111104026A CN111104026A CN201910712362.6A CN201910712362A CN111104026A CN 111104026 A CN111104026 A CN 111104026A CN 201910712362 A CN201910712362 A CN 201910712362A CN 111104026 A CN111104026 A CN 111104026A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
- G06F3/01—Input arrangements or combined input and output arrangements for interaction between user and computer
- G06F3/048—Interaction techniques based on graphical user interfaces [GUI]
- G06F3/0484—Interaction techniques based on graphical user interfaces [GUI] for the control of specific functions or operations, e.g. selecting or manipulating an object, an image or a displayed text element, setting a parameter value or selecting a range
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
- G06Q30/06—Buying, selling or leasing transactions
- G06Q30/0601—Electronic shopping [e-shopping]
- G06Q30/0631—Item recommendations
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
- G06Q50/10—Services
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04M—TELEPHONIC COMMUNICATION
- H04M1/00—Substation equipment, e.g. for use by subscribers
- H04M1/72—Mobile telephones; Cordless telephones, i.e. devices for establishing wireless links to base stations without route selection
- H04M1/724—User interfaces specially adapted for cordless or mobile telephones
- H04M1/72403—User interfaces specially adapted for cordless or mobile telephones with means for local support of applications that increase the functionality
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04M—TELEPHONIC COMMUNICATION
- H04M2250/00—Details of telephonic subscriber devices
- H04M2250/22—Details of telephonic subscriber devices including a touch pad, a touch sensor or a touch detector
Abstract
A method and apparatus for providing a recommendation service, the method comprising: (A) responding to splitting operation executed by a user on the resource information, splitting the resource information, and displaying a participle area comprising at least one participle entity and a service area comprising at least one recommended service, which are obtained according to the splitting operation; (B) and responding to the selection operation of the user on the word segmentation entity, and changing the recommended service in the service area according to the selected word segmentation entity. According to the method and the equipment, the recommended service expected by the user can be preferentially recommended to the user, so that the operation of turning pages of the user to find the expected recommended service is avoided, the complexity of the operation is reduced, and the user experience is effectively improved.
Description
Technical Field
The present invention relates generally to the field of artificial intelligence, and more particularly, to a method and apparatus for recommending services.
Background
The smart screen recognition function is a function of controlling the electronic device to recognize contents displayed in the screen through a specific gesture operation and push a service related to a recognition result to the user, for example, as shown in fig. 1 (a), receiving an operation of a user pressing a text for a long time, and by means of the smart screen recognition function, the electronic device can automatically recognize the pressed text, perform word segmentation display and recommend a service related to word segmentation (for example, a flight service, a schedule service, etc.), as shown in fig. 1 (B).
Generally, there are more recommended services, and when the service content required by the user is not in the preferred recommended position, the user needs to slide and the like to find the required service, for example, when the user needs to reserve a ticket of the "great wall of octada, the user needs to slide downwards (for example, as shown in (C) in fig. 1) to click on the" sight spot ticket "after the" great wall of octada "service (the fourth service) to purchase the ticket (for example, as shown in (D) in fig. 1), which is cumbersome for the user and has a poor user experience.
Disclosure of Invention
An exemplary embodiment of the present invention is to provide a method and an apparatus for recommending a service, which can overcome the defects that the existing intelligent screen recognition mode is complicated to operate and user experience is not high.
According to an aspect of exemplary embodiments of the present invention, there is provided a method of recommending a service, including: (A) responding to splitting operation executed by a user on the resource information, splitting the resource information, and displaying a participle area comprising at least one participle entity and a service area comprising at least one recommended service, which are obtained according to the splitting operation; (B) and responding to the selection operation of the user on the word segmentation entity, and changing the recommended service in the service area according to the selected word segmentation entity.
Optionally, changing the recommended service in the service area indicates at least one of: changing a display manner of the recommended service in the service area, changing content of the recommended service in the service area, and changing the number of the recommended service in the service area.
Optionally, the step of changing the recommended service in the service area according to the selected word segmentation entity includes: and changing the recommended service in the service area according to all the selected participle entities, or changing the recommended service in the service area according to part of the selected participle entities.
Optionally, the splitting operation comprises: a click operation, a long press operation, a slide operation in a predetermined direction, and any combination thereof.
Optionally, the selecting operation includes: a click operation, a slide operation, a drag operation, and any combination thereof.
Optionally, changing the display manner of the recommended service in the service area indicates at least one of: changing a display position of the recommended service in the service area, setting a highlight effect applied to the recommended service in the service area, and displaying only the recommended service associated with the selected word segmentation entity.
Optionally, changing the content of the recommended service in the service area indicates at least one of: and replacing the original recommended service in the service area with the new recommended service, and modifying the content of the recommended service in the service area.
Optionally, changing the number of recommended services in the service area indicates increasing or decreasing the number of recommended services included in the service area.
Optionally, the partially selected word segmentation entity includes: the currently selected participle entity, or the previously selected participle entity and the currently selected participle entity.
Optionally, when the partially selected word segmentation entities are a previously selected word segmentation entity and a currently selected word segmentation entity, the step of changing the recommended service in the service area according to the partially selected word segmentation entity includes: determining the relevance between the word segmentation entity selected before and the word segmentation entity selected currently through a preset analysis method, and changing the recommended service in the service area according to the determined relevance.
Optionally, the highlighting effect comprises: a bezel display effect, a highlight display effect, a shadow display effect, and any combination thereof.
Optionally, changing the display position of the recommended service in the service area indicates any one of: and displaying the recommended service corresponding to the currently selected word segmentation entity in the service area in a set top mode, and changing the priority of the recommended service display in the service area.
Optionally, the step of determining a relevance between a previously selected participle entity and a currently selected participle entity through a predetermined analysis method, and changing the recommended service in the service area according to the determined relevance includes: comparing the degree of association between the previously selected participle entity and the currently selected participle entity with the size of a preset threshold value; when the relevance between the word segmentation entity selected previously and the word segmentation entity selected currently is determined to be larger than or equal to a preset threshold value, changing the display mode and/or content of the recommended service corresponding to the word segmentation entity selected currently in the service area, or displaying the recommended service corresponding to the word segmentation entity combined by the word segmentation entity selected previously and the word segmentation entity selected currently in the service area; and when the relevance between the word segmentation entity selected previously and the word segmentation entity selected currently is determined to be smaller than a preset threshold value, keeping the display mode and the content of the recommended service corresponding to the word segmentation entity selected previously in the service area.
Optionally, the previously selected word segmentation entity comprises at least one of: the word segmentation entity selected last time and the word segmentation entity selected last N times, wherein N is an integer larger than 1.
Optionally, the predetermined analysis method comprises a natural language understanding method.
Optionally, the recommended service corresponding to the segmented entity after the combination of the previously selected segmented entity and the currently selected segmented entity is displayed in the service area by the following method or the following combination: the method comprises the steps of displaying a recommended service corresponding to a word segmentation entity combined by a previously selected word segmentation entity and a currently selected word segmentation entity in a service area in a set top mode, setting a highlight effect applied to the recommended service corresponding to the word segmentation entity combined by the previously selected word segmentation entity and the currently selected word segmentation entity, displaying only the recommended service corresponding to the word segmentation entity combined by the previously selected word segmentation entity and the currently selected word segmentation entity in the service area, and changing the priority order of the recommended service corresponding to the word segmentation entity combined by the previously selected word segmentation entity and the currently selected word segmentation entity and the original recommended service in the recommended area.
Optionally, step (B) comprises: in response to the selection operation performed on the word segmentation entity, the recommended service corresponding to the word segmentation entity is displayed in a service area in a set top mode, and/or a highlight effect applied to the recommended service corresponding to the word segmentation entity is set.
According to another aspect of exemplary embodiments of the present invention, there is provided an apparatus for recommending a service, including: the splitting unit is used for responding to splitting operation executed on the resource information by a user, splitting the resource information and displaying a participle area comprising at least one participle entity and a service area comprising at least one recommended service, which are obtained according to the splitting processing; and the recommending unit responds to the selection operation of the user on the participle entity and changes the recommended service in the service area according to the selected participle entity.
Optionally, changing the recommended service in the service area indicates at least one of: changing a display manner of the recommended service in the service area, changing content of the recommended service in the service area, and changing the number of the recommended service in the service area.
Optionally, the recommending unit changes the recommended service in the service area according to all the selected participle entities, or changes the recommended service in the service area according to part of the selected participle entities or according to all the selected participle entities.
Optionally, the splitting operation comprises: a click operation, a long press operation, a slide operation in a predetermined direction, and any combination thereof.
Optionally, the selecting operation includes: a click operation, a slide operation, a drag operation, and any combination thereof.
Optionally, changing the display manner of the recommended service in the service area indicates at least one of: changing a display position of the recommended service in the service area, setting a highlight effect applied to the recommended service in the service area, and displaying only the recommended service associated with the selected word segmentation entity.
Optionally, changing the content of the recommended service in the service area indicates at least one of: and replacing the original recommended service in the service area with the new recommended service, and modifying the content of the recommended service in the service area.
Optionally, changing the number of recommended services in the service area indicates increasing or decreasing the number of recommended services included in the service area.
Optionally, the partially selected word segmentation entity includes: the currently selected participle entity, or the previously selected participle entity and the currently selected participle entity.
Optionally, when the partially selected segmentation entities are a previously selected segmentation entity and a currently selected segmentation entity, the recommendation unit determines, by a predetermined analysis method, a relevance between the previously selected segmentation entity and the currently selected segmentation entity, and changes the recommendation service in the service area according to the determined relevance.
Optionally, the highlighting effect comprises: a bezel display effect, a highlight display effect, a shadow display effect, and any combination thereof.
Optionally, changing the display position of the recommended service in the service area indicates any one of: and displaying the recommended service corresponding to the currently selected word segmentation entity in the service area in a set top mode, and changing the priority of the recommended service display in the service area.
Optionally, the recommending unit compares the relevance between the previously selected participle entity and the currently selected participle entity with a predetermined threshold, changes the display mode and/or content of the recommended service corresponding to the currently selected participle entity in the service area when determining that the relevance between the previously selected participle entity and the currently selected participle entity is greater than or equal to the predetermined threshold, or displays the recommended service corresponding to the participle entity after combining the previously selected participle entity and the currently selected participle entity in the service area, and maintains the display mode and content of the recommended service corresponding to the previously selected participle entity in the service area when determining that the relevance between the previously selected participle entity and the currently selected participle entity is less than the predetermined threshold.
Optionally, the previously selected word segmentation entity comprises at least one of: the word segmentation entity selected last time and the word segmentation entity selected last N times, wherein N is an integer larger than 1.
Optionally, the predetermined analysis method comprises at least one of: a natural voice analysis method, a semantic analysis method and an intelligent analysis method.
Optionally, the apparatus further comprises: a display unit, wherein the display unit displays a recommended service corresponding to a segmented entity combined with a previously selected segmented entity and a currently selected segmented entity in the service area by the following manner or a combination of the following manners: the method comprises the steps of displaying a recommended service corresponding to a word segmentation entity combined by a previously selected word segmentation entity and a currently selected word segmentation entity in a service area in a set top mode, setting a highlight effect applied to the recommended service corresponding to the word segmentation entity combined by the previously selected word segmentation entity and the currently selected word segmentation entity, displaying only the recommended service corresponding to the word segmentation entity combined by the previously selected word segmentation entity and the currently selected word segmentation entity in the service area, and changing the priority order of the recommended service corresponding to the word segmentation entity combined by the previously selected word segmentation entity and the currently selected word segmentation entity and the original recommended service in the recommended area.
Optionally, the recommending unit may perform a selection operation on the word segmentation entity, and top-display a recommended service corresponding to the word segmentation entity in a service area, and/or set a highlight effect applied to the recommended service corresponding to the word segmentation entity.
According to another aspect of exemplary embodiments of the present invention, there is provided an electronic apparatus, wherein the electronic apparatus includes: a processor; a memory storing a computer program which, when executed by the processor, implements a method of recommending services according to the present invention.
According to another aspect of exemplary embodiments of the present invention, there is provided a computer-readable storage medium storing a computer program which, when executed by a processor, implements a method of recommending a service according to the present invention.
According to the method and the device for recommending the service, the recommended service expected by the user can be preferentially recommended to the user, the operation of turning pages of the user to find the expected recommended service is avoided, the complexity of the operation is reduced, and the user experience is effectively improved.
Additional aspects and/or advantages of the present general inventive concept will be set forth in part in the description which follows and, in part, will be obvious from the description, or may be learned by practice of the general inventive concept.
Drawings
The above and other objects of exemplary embodiments of the present invention will become more apparent from the following detailed description taken in conjunction with the accompanying drawings which illustrate exemplary embodiments, wherein:
FIG. 1 illustrates an example of a prior art smart screen process;
FIG. 2 illustrates a flowchart of a method of recommending a service according to an exemplary embodiment of the present invention;
FIG. 3 illustrates an example of a recommendation service according to an exemplary embodiment of the present invention;
fig. 4 illustrates an example of changing a recommended service in a service area according to an exemplary embodiment of the present invention;
fig. 5 illustrates an example of changing a recommended service in a service area according to another exemplary embodiment of the present invention;
FIG. 6 illustrates an example of a recommendation service according to another exemplary embodiment of the present invention;
fig. 7 illustrates a block diagram of an apparatus for recommending a service according to an exemplary embodiment of the present invention.
Detailed Description
Reference will now be made in detail to the exemplary embodiments of the present invention, examples of which are illustrated in the accompanying drawings, wherein like reference numerals refer to the like elements throughout. The embodiments are described below in order to explain the present invention by referring to the figures.
Fig. 2 illustrates a flowchart of a method of recommending a service according to an exemplary embodiment of the present invention. Here, the method may be used in an electronic device (e.g., a smart phone, a tablet, a personal computer, a multimedia player, etc.) as an example, and furthermore, the method may be performed by a device recommending a service, or may be entirely implemented by software, for example, by an application of a recommendation service installed in the electronic device.
As shown in fig. 2, in step S100, in response to a splitting operation performed on resource information by a user, splitting the resource information, and displaying a participle region including at least one participle entity and a service region including at least one recommended service, which are obtained according to the splitting operation.
Here, the resource information may include text, pictures, voice, images, and any combination thereof. As examples, the split operation may include a click operation, a long press operation, a slide operation in a predetermined direction, and any combination thereof. Here, it should be understood that the splitting operation may be other operations besides the clicking operation, the long-pressing operation, the sliding operation in the predetermined direction, and any combination thereof, and the present invention is not limited thereto.
In one example, assuming that the splitting operation is a long press operation, as shown in fig. 3, after receiving a long press operation of a user on text information shown in (a) in fig. 3, the text information long-pressed by the user is split into at least one participle entity displayed in a participle area, and recommendation services associated with the participle entity, such as a flight recommendation service, a schedule recommendation service, a movie recommendation service, a sight recommendation service, and the like, are displayed in service areas in (B) in fig. 3 and (C) in fig. 3.
It can be seen that the recommendation service shown in fig. 3 is a recommendation service obtained after the existing intelligent screen recognition processing, for example, after the intelligent screen recognition processing, the segmented entities split in sequence are obtained, and the sequence of the recommendation service is the same as the arrangement sequence of the split segmented entities, in this case, if the user desires to process a predetermined task first, but the recommendation service corresponding to the task is arranged behind, the user needs to turn a page backwards to search for the corresponding task, which makes the operation cumbersome.
Specifically, referring back to fig. 2, in step S200, the recommended service in the service area may be changed according to the selected participle entity in response to a selection operation performed by the user on the participle entity. Here, the selection operation may include a click operation, a slide operation, a drag operation, and any combination thereof. For example, the selection operation is an operation in which the time of the click operation exceeds a predetermined time, an operation up or down after the click, an operation in which the click operation exceeds a certain number of times (for example, two or three times). Here, it should be understood that the selection operation may also be an operation other than the above-mentioned operation, and the present invention is not limited thereto.
In particular, changing the recommended service in the service area may indicate at least one of: changing a display manner of the recommended service in the service area, changing content of the recommended service in the service area, and changing the number of the recommended service in the service area.
As an example, changing the display manner of the recommended service in the service area indicates at least one of: changing a display position of the recommended service in the service area, setting a highlight effect applied to the recommended service in the service area, and displaying only the recommended service associated with the selected word segmentation entity.
Here, changing the display position of the recommended service in the service area indicates any one of: and displaying the recommended service corresponding to the currently selected word segmentation entity in the service area in a set top mode, and changing the priority of the recommended service display in the service area. The highlighting effect may include: a bezel display effect, a highlight display effect, a shadow display effect, and any combination thereof.
Further, as an example, changing the content of the recommended service in the service area indicates at least one of: and replacing the original recommended service in the service area with the new recommended service, and modifying the content of the recommended service in the service area.
Further, as an example, changing the number of recommended services in the service area indicates increasing or decreasing the number of recommended services included in the service area.
For example, after receiving a selection operation performed on the segmentation entity, a recommended service corresponding to the segmentation entity may be top-displayed in a service area in response to the selection operation performed on the segmentation entity, and/or a highlight effect applied to the recommended service corresponding to the segmentation entity may be set.
In the following, it will be described with reference to a specific example how to change the recommended service in the service area according to the selected word segmentation entity.
In particular, regarding the step of changing the recommended service in the service area according to the selected segmentation entity, in one exemplary embodiment of the present invention, the recommended service in the service area may be changed according to all the selected segmentation entities.
For example, when all the selected participle entities are one participle entity selected in the participle area, and when the selected participle entity corresponds to a corresponding recommendation service, only the recommendation service corresponding to the participle entity may be displayed in the service area, and the recommendation service corresponding to other participle entities may not be displayed.
Fig. 4 illustrates an example of changing a recommended service in a service area according to an exemplary embodiment of the present invention. As shown in (a) of fig. 4, assuming that the splitting operation is a long press operation and the selecting operation is a single click operation, after receiving a long press operation of the text information shown in (a) of fig. 4 by the user, the text information long pressed by the user is split into at least one word segmentation entity displayed in the word segmentation region and the first two of the recommendation services, e.g., flight recommendation service and schedule recommendation service, displayed in the service region, and the third and fourth recommendation services, e.g., movie recommendation service and sight recommendation service, of the recommendation service are displayed in the next page (e.g., (C) of fig. 4), and when the user desires to acquire the sight recommendation service related to the "octagon great wall", the user can single-click the word segmentation entity "octagon great wall" in the word segmentation region as shown in (D) of fig. 4, after receiving the user clicks the word segmentation entity "octagon great wall" in the word segmentation region, as shown in (E) in fig. 4, the sight recommendation service related to "great wall of octada" is moved and displayed at the top of the service area, and the word segmentation area and other recommendation services in the service area are eliminated. By the method, the recommended service expected by the user can be preferentially recommended to the user, so that the operation of turning pages of the user is avoided, and the user experience is improved.
For another example, when all the selected participle entities are three participle entities selected in the participle region and the selected three participle entities all correspond to corresponding recommendation services, the recommendation services corresponding to the three participles may be displayed to the user first in the service region according to the order in which the user selects the participle entities.
Furthermore, in another exemplary embodiment of the present invention, the recommended service in the service area may also be changed according to a partially selected word segmentation entity.
As an example, the partially selected participle entity may include: the currently selected participle entity, or the previously selected participle entity and the currently selected participle entity. Here, the previously selected word segmentation entity may include at least one of: the word segmentation entity selected last time and the word segmentation entity selected last N times, wherein N is an integer larger than 1.
When the partially selected participle entity is a currently selected participle entity, the recommended service in the service area may be changed based only on the currently selected participle entity. For example, when the currently selected participle entity is "a", when there is a recommendation service corresponding to the participle entity "a", the corresponding recommendation service may be top-displayed in the service area and a frame display effect of the recommendation service may be set.
Further, when the partially selected segmentation entities are a previously selected segmentation entity and a currently selected segmentation entity, an association between the previously selected segmentation entity and the currently selected segmentation entity may be determined through a predetermined analysis method, and the recommended service in the service area may be changed according to the determined association. Here, the predetermined analysis method may include a natural language understanding method. Furthermore, it should be understood that the above-mentioned predetermined analysis method is only exemplary, and those skilled in the art can also use other existing methods to determine the association between the previously selected participle entity and the currently selected participle entity, and the invention is not limited thereto.
Here, as an example, regarding the step of determining the association between the previously selected segmented word entity and the currently selected segmented word entity by a predetermined analysis method, the association may be determined by:
first, the degree of association between the previously selected segmented entity and the currently selected segmented entity may be compared with the magnitude of a predetermined threshold, and it may be determined whether the degree of association between the previously selected segmented entity and the currently selected segmented entity is greater than or equal to the predetermined threshold.
And when the relevance between the word segmentation entity selected previously and the word segmentation entity selected currently is determined to be smaller than a preset threshold value, keeping the display mode and the content of the recommended service corresponding to the word segmentation entity selected previously in the service area.
When the relevance between the word segmentation entity selected previously and the word segmentation entity selected currently is larger than or equal to a preset threshold value, changing the display mode and/or content of the recommended service corresponding to the word segmentation entity selected currently in the service area, or displaying the recommended service corresponding to the word segmentation entity combined by the word segmentation entity selected previously and the word segmentation entity selected currently in the service area.
Furthermore, it should be understood that the association degree between the previously selected participle entity and the currently selected participle entity can also be obtained by other suitable manners, for example, the association degree between the previously selected participle entity and the currently selected participle entity can be obtained by a machine learning manner (for example, a suitable machine learning model is constructed in advance). The invention is not limited in any way here.
Further, as an example, a recommended service corresponding to a segmented entity combined with a previously selected segmented entity and a currently selected segmented entity may be displayed in a service area in the following manner or in a combination of the following manners: the method comprises the steps of displaying a recommended service corresponding to a word segmentation entity combined by a previously selected word segmentation entity and a currently selected word segmentation entity in a service area in a set top mode, setting a highlight effect applied to the recommended service corresponding to the word segmentation entity combined by the previously selected word segmentation entity and the currently selected word segmentation entity, displaying only the recommended service corresponding to the word segmentation entity combined by the previously selected word segmentation entity and the currently selected word segmentation entity in the service area, and changing the priority order of the recommended service corresponding to the word segmentation entity combined by the previously selected word segmentation entity and the currently selected word segmentation entity and the original recommended service in the recommended area.
Fig. 5 illustrates an example of changing a recommended service in a service area according to another exemplary embodiment of the present invention.
As shown in (a) of fig. 5, assuming that the splitting operation is a long press operation and the selection operation performed on the segmentation entity is a single-click operation, after receiving the long press operation of the user on the text information shown in (a) of fig. 5, in (B) of fig. 5, the text information long-pressed by the user is split into at least one segmentation entity displayed in the segmentation region and the first two of the recommendation services, e.g., the flight recommendation service and the recommendation schedule service, are displayed in the service region, and the third and fourth recommendation services, e.g., the movie recommendation service and the sight recommendation service, of the recommendation service are displayed in the next page, i.e., in (C) of fig. 5. If the recommended service displayed in the service area does not meet the requirement of the user, the recommended service in the service area can be changed according to the selection operation of the user, for example, the user clicks on the participle entity "CA 1304" in the participle region (as shown in FIG. 5 (D)), the flight recommendation service related to the participle entry "CA 1304" may be preferentially displayed in the service area in response to the user's selection operation, when the user continues to select the participle entity "the hotel in Shangri-La" in the participle area again (as shown in (E) of FIG. 5), if the association of "CA 1304" and "Shangri-La Hotel" is greater than or equal to the predetermined threshold, meaning that the user may check for a reservation of the hotel after the flight, at this time, the recommended service corresponding to the Shangri-La hotel can be displayed in the service area in a set top mode, so that the user can conveniently conduct hotel reservation operation.
In addition, in another optional example, if the association degree between the word segmentation entity previously selected by the user and the word segmentation entity currently selected by the user is greater than or equal to the predetermined threshold and the word segmentation entity obtained after the combination of the word segmentation entities has the corresponding recommendation service, a new recommendation service corresponding to the word segmentation entity after the combination may be added to the service area, or the content of the recommendation service corresponding to the word segmentation entity previously selected or the word segmentation entity currently selected may be modified to the content of the recommendation service corresponding to the word segmentation entity after the combination, and the content of the recommendation service corresponding to the word segmentation entity after the combination may be preferentially displayed in the service area. In addition, a prominent display effect can be set on the modified or added recommendation service to inform the user of the modified or added recommendation service content.
For example, when the user selects the segmentation entity "white cloud airport" and then selects the segmentation entity "kendiry", when the degree of association between the segmentation entities "white cloud airport" and "kendiry" is greater than or equal to a predetermined threshold, a recommendation service corresponding to the combined segmentation entity "white cloud airport kendiry" may be added to the service area and set top and highlighted, so that the user may view the recommendation service corresponding to "white cloud airport kendiry" preferentially.
On the other hand, the segmentation entities included in the segmentation area may be updated according to the sliding operation of the user in the segmentation area, and when the segmentation entities are updated, the recommended services corresponding to the updated segmentation entities are displayed in the service area according to the updated arrangement order of the segmentation entities.
Fig. 6 illustrates an example of a recommendation service according to another exemplary embodiment of the present invention.
As shown in fig. 6, a participle entity obtained after identifying the text selected by the user is displayed in the participle region according to the splitting operation of the user is shown in (a) in fig. 6, for example, the participle entity of the participle entity in the participle region is "airplane" · octa. · "octada-linggu." · xiang-rill hotel ", and a recommendation service corresponding to the participle entity can be displayed in the service region in turn. For example, a flight recommendation service and a schedule recommendation service are displayed in the service area in sequence.
If a sliding operation of the user in the word segmentation area is received, as shown in (B) of fig. 6, the word segmentation entities in the word segmentation area are updated, for example, the word segmentation entities in the word segmentation area are "octagon great wall". cndot. gong. "haggle hotel", and then, recommendation services corresponding to the updated sequence of the word segmentation entities can be displayed in the service area, for example, a sight point recommendation service of the octagon great wall "and a schedule recommendation service of the haggle hotel" are sequentially displayed in the service area.
According to the method for recommending the service, the service recommendation expected by the user can be preferentially recommended to the user, the operation that the user turns pages to find the expected service recommendation is omitted, the complexity of the operation is reduced, and the user experience is effectively improved.
Fig. 7 illustrates a block diagram of an apparatus for recommending a service according to an exemplary embodiment of the present invention. Here, as an example.
As shown in fig. 7, an apparatus for recommending a service according to an exemplary embodiment of the present invention includes: a splitting unit 100 and a recommending unit 200.
Specifically, the splitting unit 100 performs splitting processing on the resource information in response to a splitting operation performed on the resource information by a user, and displays a participle area including at least one participle entity and a service area including at least one recommended service, which are obtained according to the splitting processing.
Here, the resource information may include text, pictures, voice, images, and any combination thereof. As examples, the split operation may include a click operation, a long press operation, a slide operation in a predetermined direction, and any combination thereof. Here, it should be understood that the splitting operation may be other operations besides the clicking operation, the long-pressing operation, the sliding operation in the predetermined direction, and any combination thereof, and the present invention is not limited thereto.
The recommending unit 200 responds to the selection operation of the user on the participle entity, and changes the recommended service in the service area according to the selected participle entity.
Here, the selection operation may include a click operation, a slide operation, a drag operation, and any combination thereof. For example, the selection operation is an operation in which the time of the click operation exceeds a predetermined time, an operation up or down after the click, an operation in which the click operation exceeds a certain number of times (for example, two or three times). Here, it should be understood that the selection operation may also be an operation other than the above-mentioned operation, and the present invention is not limited thereto.
In particular, changing the recommended service in the service area may indicate at least one of: changing a display manner of the recommended service in the service area, changing content of the recommended service in the service area, and changing the number of the recommended service in the service area.
As an example, changing the display manner of the recommended service in the service area indicates at least one of: changing a display position of the recommended service in the service area, setting a highlight effect applied to the recommended service in the service area, and displaying only the recommended service associated with the selected word segmentation entity.
Here, changing the display position of the recommended service in the service area indicates any one of: and displaying the recommended service corresponding to the currently selected word segmentation entity in the service area in a set top mode, and changing the priority of the recommended service display in the service area. The highlighting effect may include: a bezel display effect, a highlight display effect, a shadow display effect, and any combination thereof.
Further, as an example, changing the content of the recommended service in the service area indicates at least one of: and replacing the original recommended service in the service area with the new recommended service, and modifying the content of the recommended service in the service area.
Further, as an example, changing the number of recommended services in the service area indicates increasing or decreasing the number of recommended services included in the service area.
For example, after receiving a selection operation performed on the segmentation entity, a recommended service corresponding to the segmentation entity may be top-displayed in a service area in response to the selection operation performed on the segmentation entity, and/or a highlight effect applied to the recommended service corresponding to the segmentation entity may be set.
In the following, how the recommendation unit 200 changes the recommendation service in the service area according to the selected participle entity will be described with reference to a specific example.
Specifically, in an exemplary embodiment of the present invention, the recommendation unit 200 may change the recommendation service in the service area according to all the selected participle entities.
For example, when all the selected participle entities are one participle entity selected in the participle region and the selected participle entity corresponds to a corresponding recommendation service, the recommendation unit 200 may display only the recommendation service corresponding to the participle entity in the service region, and not display the recommendation services corresponding to other participle entities.
Furthermore, in another exemplary embodiment of the present invention, the recommended service in the service area may also be changed according to a partially selected word segmentation entity.
As an example, the partially selected participle entity may include: the currently selected participle entity, or the previously selected participle entity and the currently selected participle entity. Here, the previously selected word segmentation entity may include at least one of: the word segmentation entity selected last time and the word segmentation entity selected last N times, wherein N is an integer larger than 1.
Further, when the partially selected segmentation entities are a previously selected segmentation entity and a currently selected segmentation entity, the recommendation unit 200 may determine, through a predetermined analysis method, an association between the previously selected segmentation entity and the currently selected segmentation entity, and change the recommended service in the service area according to the determined association. Here, the predetermined analysis method may include a natural language understanding method. Furthermore, it should be understood that the above-mentioned predetermined analysis method is only exemplary, and those skilled in the art can also use other existing methods to determine the association between the previously selected participle entity and the currently selected participle entity, and the invention is not limited thereto.
Here, as an example, the recommending unit 200 may determine the association between the previously selected segmented entity and the currently selected segmented entity by a predetermined analyzing method by:
first, the recommending unit 200 may compare the degree of association between the previously selected participle entity and the currently selected participle entity with the magnitude of a predetermined threshold, and determine whether the degree of association between the previously selected participle entity and the currently selected participle entity is greater than or equal to the predetermined threshold.
And when the relevance between the word segmentation entity selected previously and the word segmentation entity selected currently is determined to be smaller than a preset threshold value, keeping the display mode and the content of the recommended service corresponding to the word segmentation entity selected previously in the service area.
When it is determined that the degree of association between the previously selected participle entity and the currently selected participle entity is greater than or equal to the predetermined threshold, the recommending unit 200 changes the display mode and/or content of the recommended service corresponding to the currently selected participle entity in the service area, or the recommending unit 200 displays the recommended service corresponding to the participle entity combined with the previously selected participle entity and the currently selected participle entity in the service area.
Furthermore, it should be understood that the recommendation unit 200 may also obtain the association degrees of the previously selected participle entity and the currently selected participle entity through other suitable manners, for example, the association degrees of the previously selected participle entity and the currently selected participle entity may be obtained through a machine learning manner (for example, a suitable machine learning model is constructed in advance). The invention is not limited in any way here.
Further, the apparatus may further include a display unit (not shown in fig. 7), which may display, as an example, a recommended service corresponding to a segmented entity after a previously selected segmented entity and a currently selected segmented entity are combined in the service area in the following manner or in a combination of the following manners: the method comprises the steps of displaying a recommended service corresponding to a word segmentation entity combined by a previously selected word segmentation entity and a currently selected word segmentation entity in a service area in a set top mode, setting a highlight effect applied to the recommended service corresponding to the word segmentation entity combined by the previously selected word segmentation entity and the currently selected word segmentation entity, displaying only the recommended service corresponding to the word segmentation entity combined by the previously selected word segmentation entity and the currently selected word segmentation entity in the service area, and changing the priority order of the recommended service corresponding to the word segmentation entity combined by the previously selected word segmentation entity and the currently selected word segmentation entity and the original recommended service in the recommended area.
On the other hand, the recommending unit 200 may also update the segmentation entities included in the segmentation region according to a sliding operation of the user in the segmentation region, and, in a case where the segmentation entities are updated, display the recommended services corresponding to the updated segmentation entities in the service region in the order of arrangement of the updated segmentation entities.
Further, it should be understood that respective units in the apparatus for recommending a service according to an exemplary embodiment of the present invention may be implemented as hardware components and/or software components. The individual units may be implemented, for example, using Field Programmable Gate Arrays (FPGAs) or Application Specific Integrated Circuits (ASICs), depending on the processing performed by the individual units as defined by the skilled person.
The computer-readable storage medium according to an exemplary embodiment of the present invention stores a computer program that, when executed by a processor, causes the processor to perform the method of recommending a service of the above-described exemplary embodiment. The computer readable storage medium is any data storage device that can store data which can be read by a computer system. Examples of computer-readable storage media include: read-only memory, random access memory, read-only optical disks, magnetic tapes, floppy disks, optical data storage devices, and carrier waves (such as data transmission through the internet via wired or wireless transmission paths).
An electronic device according to an exemplary embodiment of the present invention includes: a processor (not shown) and a memory (not shown), wherein the memory stores a computer program which, when executed by the processor, implements the method of recommending a service as in the above exemplary embodiments.
In summary, in the method and the device for recommending a service according to the exemplary embodiment of the present invention, a recommended service desired by a user can be preferentially recommended to the user, so that an operation of turning pages of the user to find the desired recommended service is eliminated, complexity of the operation is reduced, and user experience is effectively improved.
While the present invention has been particularly shown and described with reference to exemplary embodiments thereof, it will be understood by those of ordinary skill in the art that various changes in form and details may be made therein without departing from the spirit and scope of the present invention as defined by the following claims.
Claims (16)
1. A method of recommending a service, comprising:
(A) responding to splitting operation executed on the resource information by a user, splitting the resource information, and displaying a participle area comprising at least one participle entity and a service area comprising at least one recommended service, which are obtained according to the splitting operation;
(B) and responding to the selection operation of the user on the word segmentation entity, and changing the recommended service in the service area according to the selected word segmentation entity.
2. The method of claim 1, wherein changing the recommended service in the service area indicates at least one of:
changing a display manner of the recommended service in the service area, changing content of the recommended service in the service area, and changing the number of the recommended service in the service area,
and/or the presence of a gas in the gas,
wherein the step of changing the recommended service in the service area according to the selected word segmentation entity comprises: changing the recommended service in the service area according to all the selected participle entities, or changing the recommended service in the service area according to part of the selected participle entities,
and/or the presence of a gas in the gas,
wherein the splitting operation comprises: click operation, long press operation, sliding operation in a predetermined direction, and any combination thereof,
and/or the presence of a gas in the gas,
wherein the selecting operation comprises: a click operation, a slide operation, a drag operation, and any combination thereof.
3. The method of claim 2, wherein changing the display of the recommended service in the service area indicates at least one of:
changing a display position of the recommended service in the service area, setting a highlight effect applied to the recommended service in the service area, displaying only recommended services associated with the selected word segmentation entity,
and/or the presence of a gas in the gas,
wherein changing the content of the recommended service in the service area indicates at least one of: replacing an original recommended service in the service area with a new recommended service, modifying content of the recommended service in the service area,
and/or the presence of a gas in the gas,
wherein changing the number of recommended services in the service area indicates increasing or decreasing the number of recommended services included in the service area,
and/or the presence of a gas in the gas,
wherein the partially selected participle entity comprises: the currently selected participle entity, or the previously selected participle entity and the currently selected participle entity.
4. The method of claim 3, wherein when the partially selected participle entities are a previously selected participle entity and a currently selected participle entity, the step of changing the recommended service in the service area according to the partially selected participle entity comprises:
determining an association between a previously selected segmented entity and a currently selected segmented entity through a predetermined analysis method, and changing the recommended service in the service area according to the determined association,
and/or the presence of a gas in the gas,
wherein the highlighting effect comprises: a frame display effect, a highlight display effect, a shadow display effect, and any combination thereof,
and/or the presence of a gas in the gas,
wherein changing the display position of the recommended service in the service area indicates any one of: and displaying the recommended service corresponding to the currently selected word segmentation entity in the service area in a set top mode, and changing the priority of the recommended service display in the service area.
5. The method of claim 4, wherein the determining of the association between the previously selected segmentation entity and the currently selected segmentation entity through a predetermined analysis method and the changing of the recommended service in the service area according to the determined association comprises:
comparing the degree of association between the previously selected participle entity and the currently selected participle entity with the size of a preset threshold value;
when the relevance between the word segmentation entity selected previously and the word segmentation entity selected currently is determined to be larger than or equal to a preset threshold value, changing the display mode and/or content of the recommended service corresponding to the word segmentation entity selected currently in the service area, or displaying the recommended service corresponding to the word segmentation entity combined by the word segmentation entity selected previously and the word segmentation entity selected currently in the service area;
and when the relevance between the word segmentation entity selected previously and the word segmentation entity selected currently is determined to be smaller than a preset threshold value, keeping the display mode and the content of the recommended service corresponding to the word segmentation entity selected previously in the service area.
6. The method of claim 5, wherein the previously selected word segmentation entity comprises at least one of: the word segmentation entity selected last time and the word segmentation entity selected last N times, wherein N is an integer larger than 1,
and/or the presence of a gas in the gas,
wherein the predetermined analysis method includes a natural language understanding method,
and/or the presence of a gas in the gas,
and displaying the recommended service corresponding to the word segmentation entity combined by the word segmentation entity selected before and the word segmentation entity selected currently in the service area by the following mode or the following combination:
the method comprises the steps of displaying a recommended service corresponding to a word segmentation entity combined by a previously selected word segmentation entity and a currently selected word segmentation entity in a service area in a set top mode, setting a highlight effect applied to the recommended service corresponding to the word segmentation entity combined by the previously selected word segmentation entity and the currently selected word segmentation entity, displaying only the recommended service corresponding to the word segmentation entity combined by the previously selected word segmentation entity and the currently selected word segmentation entity in the service area, and changing the priority order of the recommended service corresponding to the word segmentation entity combined by the previously selected word segmentation entity and the currently selected word segmentation entity and the original recommended service in the recommended area.
7. The method of claim 6, wherein step (B) comprises:
in response to the selection operation performed on the word segmentation entity, the recommended service corresponding to the word segmentation entity is displayed in a service area in a set top mode, and/or a highlight effect applied to the recommended service corresponding to the word segmentation entity is set.
8. An apparatus for recommending a service, comprising:
the splitting unit is used for responding to splitting operation executed on the resource information by a user, splitting the resource information and displaying a participle area comprising at least one participle entity and a service area comprising at least one recommended service, which are obtained according to the splitting processing;
and the recommending unit responds to the selection operation of the user on the participle entity and changes the recommended service in the service area according to the selected participle entity.
9. The apparatus of claim 8, wherein changing the recommended service in the service area indicates at least one of:
changing a display manner of the recommended service in the service area, changing content of the recommended service in the service area, and changing the number of the recommended service in the service area,
and/or the presence of a gas in the gas,
wherein the recommending unit changes the recommended service in the service area according to all the selected participle entities, or changes the recommended service in the service area according to part of the selected participle entities or according to all the selected participle entities,
and/or the presence of a gas in the gas,
wherein the splitting operation comprises: click operation, long press operation, sliding operation in a predetermined direction, and any combination thereof,
and/or the presence of a gas in the gas,
wherein the selecting operation comprises: a click operation, a slide operation, a drag operation, and any combination thereof.
10. The apparatus of claim 9, wherein changing the display of the recommended service in the service area indicates at least one of:
changing a display position of the recommended service in the service area, setting a highlight effect applied to the recommended service in the service area, displaying only recommended services associated with the selected word segmentation entity,
and/or the presence of a gas in the gas,
wherein changing the content of the recommended service in the service area indicates at least one of: replacing an original recommended service in the service area with a new recommended service, modifying content of the recommended service in the service area,
and/or the presence of a gas in the gas,
wherein changing the number of recommended services in the service area indicates increasing or decreasing the number of recommended services included in the service area,
and/or the presence of a gas in the gas,
wherein the partially selected participle entity comprises: the currently selected participle entity, or the previously selected participle entity and the currently selected participle entity.
11. The apparatus of claim 10, wherein the recommending unit determines an association between a previously selected segmentation entity and a currently selected segmentation entity through a predetermined analysis method when the partially selected segmentation entities are the previously selected segmentation entity and the currently selected segmentation entity, and changes the recommended service in the service area according to the determined association,
and/or the presence of a gas in the gas,
wherein the highlighting effect comprises: a frame display effect, a highlight display effect, a shadow display effect, and any combination thereof,
and/or the presence of a gas in the gas,
wherein changing the display position of the recommended service in the service area indicates any one of: and displaying the recommended service corresponding to the currently selected word segmentation entity in the service area in a set top mode, and changing the priority of the recommended service display in the service area.
12. The apparatus of claim 11, wherein the recommending unit compares a degree of association between a previously selected participle entity and a currently selected participle entity with a magnitude of a predetermined threshold,
when the relevance between the word segmentation entity selected before and the word segmentation entity selected currently is determined to be greater than or equal to a preset threshold value, changing the display mode and/or content of the recommended service corresponding to the word segmentation entity selected currently in the service area, or displaying the recommended service corresponding to the word segmentation entity combined by the word segmentation entity selected before and the word segmentation entity selected currently in the service area,
and when the relevance between the word segmentation entity selected previously and the word segmentation entity selected currently is determined to be smaller than a preset threshold value, keeping the display mode and the content of the recommended service corresponding to the word segmentation entity selected previously in the service area.
13. The apparatus of claim 12, wherein the previously selected word segmentation entity comprises at least one of: the word segmentation entity selected last time and the word segmentation entity selected last N times, wherein N is an integer larger than 1,
and/or the presence of a gas in the gas,
wherein the predetermined analysis method includes a natural language understanding method,
and/or the presence of a gas in the gas,
wherein the apparatus further comprises: a display unit for displaying the image of the object,
the display unit displays the recommended service corresponding to the segmented entity combined with the segmented entity selected before and the segmented entity selected currently in the service area in the following mode or the following mode combination:
the method comprises the steps of displaying a recommended service corresponding to a word segmentation entity combined by a previously selected word segmentation entity and a currently selected word segmentation entity in a service area in a set top mode, setting a highlight effect applied to the recommended service corresponding to the word segmentation entity combined by the previously selected word segmentation entity and the currently selected word segmentation entity, displaying only the recommended service corresponding to the word segmentation entity combined by the previously selected word segmentation entity and the currently selected word segmentation entity in the service area, and changing the priority order of the recommended service corresponding to the word segmentation entity combined by the previously selected word segmentation entity and the currently selected word segmentation entity and the original recommended service in the recommended area.
14. The apparatus of claim 13, wherein the recommending unit top-displays the recommended service corresponding to the word segmentation entity in a service area and/or sets a highlight effect applied to the recommended service corresponding to the word segmentation entity in response to a selection operation performed on the word segmentation entity.
15. An electronic device, wherein the electronic device comprises:
a processor;
memory storing a computer program which, when executed by the processor, implements a method of recommending services according to any of claims 1 to 7.
16. A computer-readable storage medium storing a computer program which, when executed by a processor, implements a method of recommending services according to any one of claims 1 to 7.
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