CN107249016B

CN107249016B - Information pushing method and device

Info

Publication number: CN107249016B
Application number: CN201710297407.9A
Authority: CN
Inventors: 孟庆迪; 王滢; 刘舒帆; 张杭
Original assignee: Beijing Xiaomi Mobile Software Co Ltd
Current assignee: Beijing Xiaomi Mobile Software Co Ltd
Priority date: 2017-04-28
Filing date: 2017-04-28
Publication date: 2021-03-09
Anticipated expiration: 2037-04-28
Also published as: CN107249016A

Abstract

The disclosure provides a method and a device for recommending information, and belongs to the technical field of internet. The method comprises the following steps: collecting scene information in real time; in the real-time acquisition process, matching a plurality of pieces of scene information acquired at a plurality of continuous acquisition moments with a recommendation condition based on a time sequence, wherein the recommendation condition comprises at least one sub-condition; when the matching is successful, according to the recommendation condition successfully matched, determining a scene identifier corresponding to the recommendation condition from the corresponding relation between the preset recommendation condition and the scene identifier; sending the scene identification to a server; and receiving the information to be recommended corresponding to the scene identification returned by the server. According to the method and the device, the scene information acquired at the continuous acquisition moments is matched with the recommendation condition based on the time sequence, and when the matching is successful, the scene identification corresponding to the recommendation condition is acquired, so that the accuracy of determining the scene identification is improved, and the accuracy of the recommendation information is improved.

Description

Information pushing method and device

Technical Field

The present disclosure relates to the field of internet technologies, and in particular, to a method and an apparatus for pushing information.

Background

With the development of internet technology, more and more advertisements are pushed to users by servers. To improve the accuracy of pushing advertisements to users, a scenario advertisement is currently emerging. The scene advertisement refers to an advertisement pushed to a user according to a current scene of the user.

At present, a terminal collects current scene information, wherein the current scene information comprises position information and state information, and the state information comprises at least one item of time information and user use behavior information; and sending the current scene information to a server. The server stores recommendation conditions corresponding to information to be recommended in advance; and determining whether the current scene information meets the recommendation condition, and sending the information to a terminal when the current scene information meets the recommendation condition.

Disclosure of Invention

In order to overcome the problems in the related art, the present disclosure provides a method and an apparatus for pushing information, where the technical scheme is as follows:

according to a first aspect of the embodiments of the present disclosure, there is provided a method for pushing information, where the method is applied in a terminal, and the method includes:

collecting scene information in real time;

in the real-time acquisition process, matching a plurality of pieces of scene information acquired at a plurality of continuous acquisition moments with a recommendation condition based on a time sequence, wherein the recommendation condition comprises at least one sub-condition;

when the matching is successful, according to the recommendation condition successfully matched, determining a scene identifier corresponding to the recommendation condition from the corresponding relation between the preset recommendation condition and the scene identifier;

sending the scene identification to a server;

and receiving the information to be recommended corresponding to the scene identification returned by the server.

In the embodiment of the disclosure, the terminal matches a plurality of pieces of scene information acquired at a plurality of continuous acquisition moments with the recommendation condition based on the time sequence, and when the matching is successful, the scene identifier corresponding to the recommendation condition is acquired, so that the accuracy of determining the scene identifier is improved, and then the server recommends information for the terminal according to the scene identifier, so that the accuracy of recommending information is improved.

In one possible implementation manner, the recommending condition includes a first sub-condition, and the matching of the scene information acquired at the consecutive acquisition time instants with the time-series-based recommending condition includes:

and when the scene information of each acquisition time in the plurality of continuous acquisition times meets the first sub-condition, determining that the matching is successful.

In one possible implementation manner, the recommending condition includes a second sub-condition, and the matching of the scene information acquired at the consecutive acquisition time instants with the time-series-based recommending condition includes:

and when the scene information of the current acquisition time in the plurality of continuous acquisition times meets the second sub-condition and the scene information of the acquisition time before the current acquisition time does not meet the second sub-condition, determining that the matching is successful.

In one possible implementation manner, the recommending condition includes a third sub-condition, and the matching of the scene information acquired at the consecutive acquisition time instants with the time-series-based recommending condition includes:

and when the scene information of the current acquisition time in the plurality of continuous acquisition times does not meet the third sub-condition and the scene information of one acquisition time before the current acquisition time meets the third sub-condition, determining that the matching is successful.

In one possible implementation manner, the recommending condition includes a fourth sub-condition and a fifth sub-condition, and the matching the scene information acquired at the consecutive acquisition time instants with the time-series-based recommending condition includes:

and when the scene information of the target acquisition time in the plurality of continuous acquisition times meets the fourth sub-condition and the scene information of the acquisition time before the target acquisition time meets the fifth sub-condition, determining that the matching is successful, wherein the target acquisition time is any one of the plurality of continuous acquisition times except the first acquisition time.

In one possible implementation manner, the context information of each of the plurality of consecutive acquisition moments includes location information, and status information in the current environment of the terminal, where the status information includes at least one of user usage behavior information, time information, and environment information.

In one possible implementation, the recommended condition includes at least one of a first sub-condition, a second sub-condition, a third sub-condition, and a set of sub-conditions, and the set of sub-conditions includes a fourth sub-condition and a fifth sub-condition.

According to a second aspect of the embodiments of the present disclosure, there is provided a method for pushing information, the method being applied in a server, the method including:

acquiring scene description information of a launching scene;

extracting a recommendation condition based on time sequence from the scene description information, wherein the recommendation condition comprises at least one sub-condition;

and establishing a corresponding relation between the recommendation condition and the scene identifier of the launching scene, and sending the corresponding relation between the recommendation condition and the scene identifier to a terminal.

In the embodiment of the disclosure, a server extracts a recommendation condition based on time sequence from the description information of the released scene, and establishes a corresponding relation between the recommendation condition and the scene identifier; sending the corresponding relation between the recommendation condition and the scene identification to the terminal; the terminal determines the scene identifier according to the corresponding relation between the recommendation condition and the scene identifier; because the recommendation condition is a time sequence-based recommendation condition, the accuracy of determining the scene identification is improved, and the accuracy of recommending information is further improved.

In a possible implementation manner, the recommended condition includes a first sub-condition, where the first sub-condition is a sub-condition that the scene information at each acquisition time is satisfied in a plurality of consecutive acquisition times of the terminal.

In a possible implementation manner, the recommended condition includes a second sub-condition, where the second sub-condition is a sub-condition that, in a plurality of consecutive acquisition times of the terminal, the scene information at the current acquisition time is satisfied, and the scene information at the acquisition time before the current acquisition time is not satisfied.

In a possible implementation manner, the recommendation condition includes a third word condition, and the third sub-condition is a sub-condition that, in a plurality of consecutive acquisition times of the terminal, the scene information at the current acquisition time is not satisfied, and the scene information at an acquisition time before the current acquisition time is satisfied.

In a possible implementation manner, the recommended condition includes a fourth sub-condition and a fifth sub-condition, where the fourth sub-condition is a sub-condition that scene information of a target acquisition time is satisfied in a plurality of consecutive acquisition times of the terminal, the fifth sub-condition is a sub-condition that scene information of an acquisition time before the target acquisition time is satisfied, and the target acquisition time is any acquisition time except for a first acquisition time in the plurality of consecutive acquisition times.

According to a third aspect of the embodiments of the present disclosure, there is provided an apparatus for pushing information, the apparatus being applied in a terminal, the apparatus including:

the acquisition module is used for acquiring scene information in real time;

the matching module is used for matching a plurality of pieces of scene information acquired at a plurality of continuous acquisition moments with a recommendation condition based on a time sequence in a real-time acquisition process, wherein the recommendation condition comprises at least one sub-condition;

the determining module is used for determining scene identifications corresponding to the recommending conditions from the corresponding relation between the preset recommending conditions and the scene identifications according to the recommending conditions successfully matched when the matching is successful;

the first sending module is used for sending the scene identification to a server;

and the receiving module is used for receiving the information to be recommended corresponding to the scene identification returned by the server.

In a possible implementation manner, the recommended condition includes a first sub-condition, and the matching module is further configured to determine that matching is successful when the scene information at each of the multiple consecutive acquisition times satisfies the first sub-condition.

In a possible implementation manner, the recommended condition includes a second sub-condition, and the matching module is further configured to determine that the matching is successful when, in the multiple consecutive acquisition times, the scene information at the current acquisition time satisfies the second sub-condition, and the scene information at the acquisition time before the current acquisition time does not satisfy the second sub-condition.

In a possible implementation manner, the recommended condition includes a third sub-condition, and the matching module is further configured to determine that matching is successful when, in the multiple consecutive acquisition times, the scene information at the current acquisition time does not satisfy the third sub-condition, and the scene information at an acquisition time before the current acquisition time satisfies the third sub-condition.

In a possible implementation manner, the recommendation condition includes a fourth sub-condition and a fifth sub-condition, and the matching module is further configured to determine that matching is successful when, in the multiple consecutive acquisition times, the scene information at a target acquisition time satisfies the fourth sub-condition, and the scene information at the acquisition time before the target acquisition time satisfies the fifth sub-condition, where the target acquisition time is any one of the multiple consecutive acquisition times except for the first acquisition time.

According to a fourth aspect of the embodiments of the present disclosure, there is provided an apparatus for pushing information, the apparatus being applied in a server, the apparatus including:

the acquisition module is used for acquiring scene description information of a launching scene;

the extraction module is used for extracting a recommendation condition based on time sequence from the scene description information, wherein the recommendation condition comprises at least one sub-condition;

the establishing module is used for establishing a corresponding relation between the recommendation condition and the scene identifier of the launching scene;

and the second sending module is used for sending the corresponding relation between the recommendation condition and the scene identifier to the terminal.

According to a fifth aspect of the embodiments of the present disclosure, there is provided an apparatus for pushing information, including:

a processor;

a memory for storing processor-executable instructions;

wherein the processor is configured to: collecting scene information in real time;

sending the scene identification to a server;

According to a sixth aspect of the embodiments of the present disclosure, there is provided an apparatus for pushing information, including:

a processor;

a memory for storing processor-executable instructions;

wherein the processor is configured to:

acquiring scene description information of a launching scene;

According to a seventh aspect of embodiments of the present disclosure, there is provided a computer-readable storage medium having stored thereon a computer program which, when executed by a processor, implements the method of recommending information according to any one of the first aspects.

According to an eighth aspect of the embodiments of the present disclosure, there is provided a computer-readable storage medium having stored thereon a computer program which, when executed by a processor, implements the method of recommending information according to any one of the second aspects.

The technical scheme provided by the embodiment of the disclosure can have the following beneficial effects:

it is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the disclosure.

Drawings

The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present disclosure and together with the description, serve to explain the principles of the disclosure.

FIG. 1-1 is a block diagram illustrating an implementation environment in accordance with an exemplary embodiment;

1-2 are schematic diagrams illustrating a G-operation according to an exemplary embodiment;

FIGS. 1-3 are schematic diagrams illustrating an F-operation according to an exemplary embodiment;

FIGS. 1-4 are schematic diagrams illustrating an X operation according to an exemplary embodiment;

FIGS. 1-5 are schematic diagrams illustrating a U operation according to an exemplary embodiment;

FIGS. 1-6 are flow diagrams illustrating a method of recommending information according to an exemplary embodiment;

FIG. 2 is a flow diagram illustrating a method of recommending information in accordance with an exemplary embodiment;

FIG. 3-1 is a signaling interaction diagram illustrating a method of recommending information in accordance with an example embodiment;

FIG. 3-2 is a diagram illustrating matching of a plurality of context information to recommendation conditions in accordance with an illustrative embodiment;

3-3 are schematic diagrams illustrating a recommendation according to an exemplary embodiment;

FIG. 4 is a block diagram illustrating an apparatus for recommending information in accordance with an exemplary embodiment;

FIG. 5 is a block diagram illustrating an apparatus for recommending information in accordance with an exemplary embodiment;

FIG. 6 is a block diagram illustrating an apparatus for recommending information in accordance with an exemplary embodiment;

fig. 7 is a block diagram illustrating an apparatus for recommending information according to an example embodiment.

Detailed Description

To make the objects, technical solutions and advantages of the present disclosure more apparent, embodiments of the present disclosure will be described in detail with reference to the accompanying drawings.

Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, like numbers in different drawings represent the same or similar elements unless otherwise indicated. The implementations described in the exemplary embodiments below are not intended to represent all implementations consistent with the present disclosure. Rather, they are merely examples of apparatus and methods consistent with certain aspects of the present disclosure, as detailed in the appended claims.

The embodiment of the present disclosure provides an implementation environment of recommendation information, and referring to fig. 1-1, the implementation environment includes: a first terminal 1, a second terminal 2 and a server 3; the first terminal 1 is a terminal used by a user; the second terminal 2 is a terminal used by an information delivery main; the first terminal 1 and the second terminal 2 are connected to a server 3 through a communication network, respectively.

Before the server 3 recommends information for the first terminal 1, the second terminal 2 sends scene description information of a launching scene to the server 3; the server 3 receives the scene description information sent by the second terminal 2, and extracts a time-sequence-based recommendation condition from the scene description information, wherein the recommendation condition at least comprises a sub-condition; and establishing a corresponding relationship between the recommended condition and the scene identifier of the launching scene, and sending the corresponding relationship between the recommended condition and the scene identifier to the first terminal 1.

The first terminal 1 receives the corresponding relation between the recommended condition and the scene identifier sent by the server 3; the first terminal 1 collects scene information in real time; in the real-time acquisition process, matching a plurality of pieces of scene information acquired at a plurality of continuous acquisition moments with the recommendation condition; and when the matching is successful, according to the recommendation condition successfully matched, determining the scene identifier corresponding to the recommendation condition from the corresponding relation between the preset recommendation condition and the scene identifier, and sending the scene identifier to the server 3.

The server 3 receives the scene identifier sent by the first terminal 1, acquires information corresponding to the scene identifier from the corresponding relationship between the scene identifier and the information according to the scene identifier, and sends the information to the first terminal 1. The first terminal 1 receives the information and outputs the information.

The information can be video information, picture information or text information and the like; the scene identification may be a name or number of the scene, etc. The timing-based recommendation condition includes at least one sub-condition. Each of the at least one sub-condition is a sequential logic condition; the sequential logic condition is a logic condition which can be judged by examining a plurality of continuous moments (t, t +1, t +2 … … t + n) in a period of time from the development of a time dimension. The sequential logic condition may be a G operation, an F operation, an X operation, or a U operation, wherein the plurality of sub-conditions may be conditions p and q.

The G operation represents Global timing conditions. G_≤np denotes the sub-condition p is satisfied from time t to time t + n and each time in between. n can be set and changed as required, and in the embodiment of the present disclosure, n can be 2, 4, or 10, etc.; for example, when n is 4, the G operation is as shown in FIGS. 1-2.

F operation, representing Finally timing conditions. F_≤np represents that the sub-condition p is satisfied at a certain time from time t to time t + n. For example, when n is 4, the F operation is as shown in FIGS. 1-3.

X operation, representing Next timingAnd (4) conditions. X_＝np represents that p is satisfied just at time t + n after n times from time t. For example, when n is 2, the X operation is as shown in FIGS. 1-4.

U operation, representing the unoil timing condition. pU_≤nq denotes the time period from time t to time t + n, where q is satisfied at a certain time t + m (m ≦ n), and p is satisfied from time t to time t + m. For example, when n is 4 and m is 3, the U operation is as shown in FIGS. 1-5.

The first terminal 1 may be a mobile phone terminal, a PAD (Portable Android Device) terminal, or a computer terminal. The second terminal 2 may be a mobile phone terminal, a PAD terminal or a computer terminal. The first terminal 1 is a terminal used by a user, and the second terminal 2 is a terminal mainly used by information delivery; the first terminal 1 and the second terminal 2 may be the same terminal or different terminals. The server 3 may be a server 3, or a server cluster composed of several servers 3, or a cloud computing server center, which is not specifically limited in this disclosure.

Fig. 1 to 6 are flowcharts illustrating a method of recommending information according to an exemplary embodiment, and as shown in fig. 1 to 6, the method of recommending information is applied to a terminal and includes the following steps.

In step S101, scene information is collected in real time.

In step S102, in the real-time capturing process, a plurality of pieces of scene information captured at a plurality of consecutive capturing moments are matched with a time-series-based recommendation condition, where the recommendation condition includes at least one sub-condition.

In step S103, when the matching is successful, according to the recommendation condition for successful matching, a scene identifier corresponding to the recommendation condition is determined from the preset correspondence between the recommendation condition and the scene identifier.

In step S104, the scene id is sent to the server.

In step S105, information to be recommended corresponding to the scene identifier returned by the server is received.

In one possible implementation manner, the recommendation condition includes a first sub-condition, and the matching of the scene information acquired at the consecutive acquisition time instants with the time-series-based recommendation condition includes:

In one possible implementation manner, the recommendation condition includes a second sub-condition, and the matching of the scene information acquired at the consecutive acquisition time instants with the time-series-based recommendation condition includes:

In one possible implementation manner, the recommendation condition includes a third sub-condition, and the matching of the scene information acquired at the consecutive acquisition time instants with the time-series-based recommendation condition includes:

In one possible implementation manner, the recommending condition includes a fourth sub-condition and a fifth sub-condition, and the matching of the scene information acquired at the consecutive acquisition time instants with the time-series-based recommending condition includes:

and when the scene information of the target acquisition time in the plurality of continuous acquisition times meets the fourth sub-condition and the scene information of the acquisition time before the target acquisition time meets the fifth sub-condition, determining that the matching is successful, wherein the target acquisition time is any acquisition time except the first acquisition time in the plurality of continuous acquisition times.

In one possible implementation, the context information of each of the plurality of consecutive acquisition instants includes location information, status information in the current environment of the terminal, and the status information includes at least one of user usage behavior information, time information, and environment information.

In one possible implementation, the recommendation condition includes at least one of a first sub-condition, a second sub-condition, a third sub-condition, and a set of sub-conditions, the set of sub-conditions including a fourth recommendation sub-condition and a fifth sub-condition.

All the above optional technical solutions may be combined arbitrarily to form the optional embodiments of the present disclosure, and are not described herein again.

In the embodiment of the disclosure, the first terminal matches a plurality of pieces of scene information acquired at a plurality of continuous acquisition moments with the recommendation condition based on the time sequence, and when the matching is successful, the scene identifier corresponding to the recommendation condition is acquired, so that the accuracy of determining the scene identifier is improved, and then the server recommends information for the first terminal according to the scene identifier, so that the accuracy of recommending information is improved.

Fig. 2 is a flowchart illustrating an information recommending method according to an exemplary embodiment, where the information recommending method is applied to a server, as shown in fig. 2, and includes the following steps.

In step S201, scene description information of a delivery scene is acquired.

In step S202, a time-series-based recommendation condition is extracted from the scene description information, where the recommendation condition includes at least one sub-condition.

In step S203, a corresponding relationship between the recommended condition and the scene identifier of the launching scene is established, and the corresponding relationship between the recommended condition and the scene identifier is sent to the terminal.

In a possible implementation manner, the recommended condition includes a first sub-condition, where the first sub-condition is a sub-condition that is satisfied by the context information at each acquisition time in a plurality of consecutive acquisition times of the terminal.

In a possible implementation manner, the recommended condition includes a second sub-condition, where the second sub-condition is a sub-condition that, of multiple consecutive acquisition times of the terminal, the scene information at the current acquisition time is satisfied, and none of the scene information at the acquisition times before the current acquisition time is satisfied.

In a possible implementation manner, the recommended condition includes a third word condition, and the third sub-condition is a sub-condition that, of multiple consecutive acquisition times of the terminal, the scene information at the current acquisition time is not satisfied, and the scene information at an acquisition time before the current acquisition time is satisfied.

In a possible implementation manner, the recommended condition includes a fourth sub-condition and a fifth sub-condition, where the fourth sub-condition is a sub-condition that the scene information of the target acquisition time is satisfied in a plurality of consecutive acquisition times of the terminal, the fifth sub-condition is a sub-condition that the scene information of the acquisition time before the target acquisition time is satisfied, and the target acquisition time is any acquisition time except the first acquisition time in the plurality of consecutive acquisition times.

In one possible implementation, the recommended condition includes at least one of a first sub-condition, a second sub-condition, a third sub-condition, and a set of sub-conditions, the set of sub-conditions including a fourth sub-condition and a fifth sub-condition.

Fig. 3 is a flow chart illustrating a method according to an exemplary embodiment, as shown in fig. 3, including the following steps.

In step S301, the server acquires scene description information of the delivery scene.

When an information delivery owner delivers information in a server, a delivery scene of the information and scene description information of the delivery scene are often defined.

And the second terminal acquires the scene description information of the launching scene and sends the scene description information of the launching scene to the server. And the server receives the scene description information of the launching scene sent by the second terminal.

In this step, the second terminal may send scene description information of one or more delivery scenes to the server at one time; moreover, the scene description information of each launching scene can be input by an information launching main; before the second terminal sends the scene description information to the server, the second terminal displays a first setting interface, wherein the first setting interface at least comprises a plurality of first input boxes; and each first input box is used for inputting scene description information of a launching scene by the information launching main. And the second terminal acquires the scene description information of the launching scenes input in each first input box, obtains the scene description information of each launching scene, and sends the scene description information of each launching scene to the server.

For example, the second terminal sends scene description information of two delivery scenes (delivery scene 1 and delivery scene 2, respectively) to the server. The scene description information of the release scene 1 is that "the user stays in the business district a for 3 hours continuously, and finally uses the mobile phone application software B within 3 hours". The scene description information of the release scene 2 is "the user continuously opens a mobile phone application software B for 3 hours and enters a business circle a within 3 hours".

It should be noted that, when the second terminal sends the scene description information of the launched scene to the server, the second terminal may also send the scene identifier of the launched scene to the server. Correspondingly, the first setting interface further comprises at least one second input box; one first input box corresponds to one second input box. Each second input box is used for inputting a scene identifier of a release scene by the information release main; and the second terminal acquires the scene identification of the launching scene input in each second input box and sends the scene identification of each launching scene to the server.

In step S302, the server extracts a time-series-based recommendation condition from scene description information of the delivery scene.

The timing-based condition includes at least one sub-condition, each of the at least one sub-condition being a sequential logic condition. This step can be realized by the following steps 3021-3023, including:

3021: the server extracts at least one sub-condition from the scene description information of the delivery scene, one sub-condition being indicative of a state of the terminal.

The server extracts at least one piece of key information of a specified type from the scene description information of the launching scene, and takes the key information of the specified type as a sub-condition.

For example, the scene description information of the release scene 1 is "the user stays in the business district a for 3 hours continuously and finally uses the mobile phone application software B within 3 hours", and the server extracts two sub-conditions from the scene description information, which are respectively a sub-condition a: "continuous residence for 3 hours in the trade space A" and sub-conditions b: and finally, the mobile phone application software B is used within 3 hours.

In the disclosed embodiment, the server may represent the sub-conditions with sequential logical operations; the sub-condition a "continuous 3 hours at trade dress A" may be (G)_≤3a) (ii) a Sub-condition b: the final use of the mobile phone application software B within 3 hours can be (F)_≤3b)。

3022: the server makes the at least one sub-condition a recommended condition.

When a sub-condition is obtained from the scene description information; the sequential logic operation of the sub-condition is directly taken as the recommended condition. When the plurality of sub-conditions are obtained from the scene description information, the server obtains the logical relationship among the plurality of sub-conditions, generates a sequential logical expression according to the logical relationship among the plurality of sub-conditions and the plurality of sub-conditions, and takes the sequential logical expression as a recommendation condition.

The step of the server acquiring the logical relationship between the plurality of sub-conditions may be: the server extracts keywords of specified types from the scene description information, and obtains a logical relation corresponding to the keywords according to the keywords.

The specified type of keyword may be a logical relationship type of keyword; for example, the keywords "and", "not", "and", "or" of the specified type. When the specified type of keyword is "and" or "and", determining that the logical relationship is "and operation"; when the specified type of key word is 'not', the determined logical relation is 'not operation'; when the specified type of keyword is "OR" or "OR", the determined logical relationship is "OR operation"

For example, the sub-condition a "continuous 3 hours at Apron A" may be (G)_≤3a) (ii) a Sub-condition b: the final use of the mobile phone application software B within 3 hours can be (F)_≤3b) In that respect The server makes the sub-condition a and the sub-condition b as a recommended condition: (G)_≤3a)&&(F_≤3b)。

For another example, the scenario description information of the release scenario 2 is "the user continuously opens a mobile phone application B for 3 hours, and enters a business circle a within 3 hours". The recommendation conditions generated by the server are as follows: (F)_≤3a)&&(G_≤3b)。

In a possible implementation manner, the server may also not extract the recommendation condition from the scenario description information of the delivery scenario, but the second terminal directly sends the recommendation condition of the delivery scenario to the server, and then steps 301 and 302 may be replaced with:

and the second terminal sends the recommended condition of the launching scene to the server. The server receives the recommended condition of the putting scene sent by the second terminal,

the second terminal displays a second setting interface, and the second setting interface comprises at least one third input box; each third input box is used for information delivery main input sub-conditions. And the second terminal acquires the sub-conditions of the launching scene input in each third input box and makes at least one sub-condition form a recommendation condition.

In step S303: and the server establishes a corresponding relation between the recommendation condition and the scene identifier of the launching scene.

When the server obtains the scene identifier of the launching scene, the second terminal may send the scene identifier of the launching scene to the server. And the server receives the scene identification of the released scene sent by the second terminal. The server may also generate a scene identification of the drop scene.

For example, the scene identifier of each launching scene is launching scene 1 and launching scene 2 respectively; the recommendation conditions for the release scenario 1 are as follows: (G)_≤3a)&&(F_≤3b) (ii) a The recommendation conditions of the release scenario 2 are as follows: (F)_≤3a)&&(G_≤3b) (ii) a The server establishes a corresponding relationship between the recommended condition of the delivered scene and the scene identifier as shown in table 1 below:

TABLE 1

Conditions of recommendation	Scene identification
		(G_≤3a)&&(F_≤3b)	Delivery scenario 1
(F_≤3a)&&(G_≤3b)	Delivery scenario 2

In step S304, the server transmits the correspondence between the recommendation condition and the scene identification to the first terminal.

Since the scene identifier is determined by the first terminal in the embodiment of the present disclosure, after the server establishes the correspondence between the recommendation condition and the scene identifier, the server sends the correspondence between the recommendation condition and the scene identifier to the terminal.

It should be noted that, since the recommendation condition is a sequential logic operation, in order to enable the first terminal to complete the recommendation condition determination offline, the server may convert the recommendation condition into the finite state automata model and send the finite state automata model to the first terminal.

The server comprises a sequential logic engine module; the step of converting the recommended condition into the finite state automata model by the server may be:

the server converts the recommended condition into a finite state automata model by a sequential logic engine module and by utilizing a sequential logic parser and a sequential logic translation algorithm.

In step S305, the first terminal receives the correspondence between the recommendation condition and the scene identifier sent by the server, and stores the correspondence between the recommendation condition and the scene identifier.

When in step 304, the server converts the recommended conditions into a finite state automaton model; in this step, the first terminal receives the finite state automata model sent by the server, and stores the finite state automata model.

It should be noted that, before the server recommends information for the first terminal, the server sends the correspondence between the recommendation condition and the scene identifier to the first terminal, and the first terminal stores the correspondence between the recommendation condition and the scene identifier. When the subsequent server recommends information for the first terminal, the server does not need to repeatedly send the corresponding relationship between the recommendation condition and the scene identifier to the first terminal, that is, steps S301 to S304 only need to be executed once, and step S305 is directly executed subsequently.

In step S306, the first terminal collects scene information in real time.

The first terminal collects scene information once every preset time. The scene information comprises position information and state information in the current environment of the first terminal. The location information includes longitude and latitude.

The first terminal comprises a positioning module, and the current position information of the first terminal is obtained through the positioning module. The Positioning module may be a GPS (Global Positioning System) module or a WiFi (Wireless Fidelity) module.

The position information may further include a direction and a pitch angle of the first terminal; the first terminal also comprises an electronic compass (also called a digital compass), and the direction and the pitch angle of the first terminal are obtained through the electronic compass; and sending the direction and the pitch angle of the first terminal to the server.

The status information includes at least one of user usage behavior information, time information, and environment information.

(I): the status information includes time information, which is an absolute date recorded by the first terminal, and the time information includes year, month, day, hour, and minute. The time information may also include seconds.

(II): the state information includes user usage behavior information including at least one of operation information of an application currently operated by the first terminal and device information of the operated associated device.

The running information of the currently running application program of the first terminal at least comprises an application program identifier of the currently running application program of the first terminal, and the application program identifier is the identifier of the currently running application program of the first terminal. The application identification may be a name, icon, etc. of the application. The operation information of the application currently operated by the first terminal may further include content currently output by the application, and the like.

When the state information comprises the equipment information of the operated associated equipment; the information of the associated device may be a device identification of the associated device. The step of the first terminal acquiring the device information of the operated associated device may be: the first terminal acquires the device information of the associated device which is associated with the first terminal and is in the current environment.

(III): the state information includes environmental information; the environmental information includes at least one of weather information and road condition information. Installing environment applications (a weather application and a map application) in the first terminal; correspondingly, the step of the first terminal acquiring the environment information may be: the first terminal obtains the environment information of the current environment of the first terminal through the environment application program.

The weather information includes: at least one of weather phenomena, air quality, and temperature. The weather phenomenon includes at least one of sunny, cloudy, rainy, frozen rain, snow, hail, fog, haze and dust. The air quality can be excellent, good, slightly polluted, moderately polluted, severely polluted or severely polluted. The temperature may be at least one of a current temperature, a highest temperature of the day, a lowest temperature of the day, and a temperature difference; wherein the temperature difference is a difference between the maximum temperature and the minimum temperature. The road condition information is congestion, slow running or smooth.

The weather information also comprises at least one of light brightness, Hall voltage and air pressure value; the first terminal includes at least one of an ambient light sensor, a hall sensor, and a barometer therein. The first terminal obtains the light brightness of the current environment of the first terminal through an ambient light sensor. The first terminal obtains the Hall voltage of the current environment through the Hall sensor. The first terminal obtains the air pressure value of the current environment of the first terminal through the barometer.

It should be noted that the status information includes at least one of the above (one) to (three); at least one of device status information and sensor status information may also be included.

(IV): the status information comprises device status information comprising at least one of device status information of the first terminal and device status information of the associated device.

The device state information includes at least one of data transmission state information with the outside and device internal state information. The data transmission state information includes: operator information (roaming or not), WiFi connection information (connection or not), bluetooth connection information (connection or not), and infrared connection information (connection or not). The device internal state information includes: at least one of the remaining capacity of the first terminal, the current volume of the first terminal, the current brightness of the screen of the first terminal, and the like. The WiFi connection information may further include an SSID (Service Set Identifier) of a WiFi network to which the device is connected.

(V): the status information includes sensor status information. The sensor may be at least one of a gyroscope, a gravity sensor, and a distance sensor.

When the sensor is a gyroscope, the gyroscope is used for acquiring the rotation angular speed of the equipment; the rotational angular velocity is used to determine the current behavior of the user. For example, based on the rotational acceleration, it is determined whether the user is running.

When the sensor is a gravity sensor, the gravity sensor is used for acquiring the acceleration of the equipment. The acceleration is used to determine the current behavior of the user. For example, it is determined whether the user is at the bungee based on the gravitational acceleration.

When the sensor is a distance sensor. The distance sensor is used for acquiring the distance between the equipment and the reflected object. This distance is used to determine the screen state of the device. For example, it is determined whether the first terminal is in a screen-off state according to the distance.

The preset duration can be set and changed as required, and in the embodiment of the disclosure, the preset duration is not specifically limited; for example, the preset time period may be 5 minutes or 8 minutes, etc.

In step S307, during the real-time capturing process, the first terminal matches a plurality of pieces of scene information captured at a plurality of consecutive capturing times with the time-series-based recommendation condition.

The recommended condition includes at least one of a first sub-condition, a second sub-condition, a third sub-condition, and a set of sub-conditions including a fourth sub-condition and a fifth sub-condition.

(I): the first sub-condition is a sub-condition that scene information of each acquisition time is satisfied in a plurality of continuous acquisition times of the first terminal. The method comprises the following steps:

and when the scene information of each acquisition time in a plurality of continuous acquisition times meets the first sub-condition, determining that the matching is successful. Otherwise, determining that the matching fails.

(II): the second sub-condition is that, in a plurality of continuous acquisition moments of the first terminal, the scene information at the current acquisition moment is satisfied, and the scene information at the acquisition moments before the current acquisition moment is not satisfied. The method comprises the following steps:

and when the scene information of the current acquisition time in a plurality of continuous acquisition times meets the second sub-condition and the scene information of the acquisition time before the current acquisition time does not meet the second sub-condition, determining that the matching is successful. Otherwise, determining that the matching fails.

(III): the third sub-condition is that, in a plurality of continuous acquisition moments of the first terminal, the scene information of the current acquisition moment is not satisfied, and the scene information of one acquisition moment before the current acquisition moment is satisfied. The method comprises the following steps:

and when the scene information of the current acquisition time in a plurality of continuous acquisition times does not meet the third sub-condition and the scene information of one acquisition time before the current acquisition time meets the third sub-condition, determining that the matching is successful. Otherwise, determining that the matching fails.

(IV): the recommendation condition comprises a fourth sub-condition and a fifth sub-condition, the fourth sub-condition is a sub-condition that the scene information of the target acquisition time is satisfied in a plurality of continuous acquisition times of the first terminal, the fifth sub-condition is a sub-condition that the scene information of the acquisition time before the target acquisition time is satisfied, and the target acquisition time is any acquisition time except the first acquisition time in the plurality of continuous acquisition times. The method comprises the following steps:

and when the scene information of the target acquisition time in the plurality of continuous acquisition times meets the fourth sub-condition and the scene information of the acquisition time before the target acquisition time meets the fifth sub-condition, determining that the matching is successful, wherein the target acquisition time is any acquisition time except the first acquisition time in the plurality of continuous acquisition times. Otherwise, determining that the matching fails.

It should be noted that the recommended condition includes at least one of a first sub-condition, a second sub-condition, a third sub-condition, and a set of sub-conditions; the set of sub-conditions includes a fourth sub-condition and a fifth sub-condition. That is, the above (one) to (four) may be combined arbitrarily.

For example, when the recommended condition includes a first sub-condition and a second sub-condition, the step may be:

and when the scene information of each acquisition time in a plurality of continuous acquisition times meets the first sub-condition, the scene information of the current acquisition time meets the second sub-condition, and the scene information of the acquisition time before the current acquisition time does not meet the second sub-condition, determining that the matching is successful. Otherwise, determining that the matching fails.

For the scene identifier 1, the first sub-condition is "stay for 3 hours continuously in business district a", and the second sub-condition is "mobile phone application software B is finally used within 3 hours". Therefore, in the real-time acquisition process of the first terminal, according to the position information of the first terminal, it is determined that the first terminal is in the business circle A for 3 continuous hours, and according to the user use behavior information of the first terminal, it is determined that the first terminal finally starts the mobile phone application software B, and it is determined that the matching with the scene identifier 1 is successful.

For another example, when the recommended condition includes a first sub-condition and a third sub-condition, the step may be:

and when the scene information of each acquisition time in a plurality of continuous acquisition times meets the first sub-condition, the matching is determined to be successful, the scene information of the current acquisition time does not meet the third sub-condition, and the scene information of one acquisition time before the current acquisition time meets the third sub-condition, the matching is determined to be successful. Otherwise, determining that the matching fails.

For another example, when the recommended condition includes a first sub-condition, a fourth sub-condition, and a fifth sub-condition, the step may be:

and when the scene information of each acquisition time in a plurality of continuous acquisition times meets the first sub-condition, the scene information of the target acquisition time meets the fourth sub-condition, and the scene information of the acquisition time before the target acquisition time meets the fifth sub-condition, determining that the matching is successful. Otherwise, determining that the matching fails. The target acquisition time is any one of a plurality of continuous acquisition times except the first acquisition time.

Referring to fig. 3-2, since the scene information includes the location information and the state information in the current environment of the first terminal; the state information includes at least one of user usage behavior information, time information, and environment information. Therefore, in this step, the first terminal matches each item of information. When matching, one item of information corresponds to one sub-condition. And the first terminal matches a plurality of pieces of scene information acquired at a plurality of continuous acquisition moments with each sub-condition included in the recommendation condition every time one piece of scene information is acquired. For example, the scene information includes time information, location information, sensor information, user usage behavior information.

For convenience of description, the sequence number of the current acquisition time is set to be 0, that is, t is 0, and t is the current acquisition time. Matching each sub-condition in the recommended condition; when a plurality of pieces of scene information at a plurality of continuous acquisition moments all satisfy all the sub-conditions; determining that the matching is successful; when the scene information of the continuous acquisition moments comprises unmatched scene information; determining whether t is greater than or equal to n; when t is larger than or equal to n, determining that the scene information does not match the recommendation condition; and when t is smaller than n, continuously acquiring the scene information at the next acquisition moment, and performing matching again. And n is the preset collection number of the scene information.

It should be noted that the more recommendation sub-conditions included in the recommendation condition, the higher the recommendation accuracy; the less recommendation sub-conditions a recommendation condition comprises, the lower the recommendation accuracy.

It should be noted that, when a plurality of recommendation conditions are included, for each recommendation condition, the matching is performed through step 306 until the matching is successful; or all the recommended conditions are matched.

In step S308, when the matching is successful, the first terminal determines, according to the recommendation condition successfully matched, a scene identifier corresponding to the recommendation condition from the preset correspondence between the recommendation condition and the scene identifier.

The time-sequence-based recommendation condition represents the action of the user in a period of time; therefore, the first terminal obtains the scene identifier of the scene where the terminal is located according to the recommendation condition, and the accuracy of the obtained scene is improved.

In step S309, the first terminal sends the scene id to the server.

In step S3010, the server receives the scene identifier sent by the first terminal, and obtains information to be recommended from a preset corresponding relationship between the scene identifier and the information according to the scene identifier.

The information delivery main sets information corresponding to a delivery scene in the server; the server establishes a corresponding relationship between the scene identifier and the information, and the process may be as follows:

the second terminal sends information to be recommended corresponding to the release scene to the server; and the server receives the information to be recommended sent by the second terminal and establishes the corresponding relation between the scene identifier of the launching scene and the information.

In step S311, the server transmits the information to be recommended to the first terminal.

After the first terminal enters the scene, the server actively sends the information to be recommended to the first terminal; or when the server detects that the first terminal starts the specified application, the server sends the information to be recommended to the first terminal. And the first terminal receives the information to be recommended sent by the server.

The designated application may be a multimedia software application, which may be a video playback application or an audio playback application. The information may be video information, picture information or text information. In order to save the network traffic of the first terminal, in this step, the server may also send the information identifier corresponding to the information to be recommended to the first terminal instead of directly sending the information to be recommended to the first terminal. And the first terminal receives the information identifier and displays the information identifier. When the user wants to view the information to be recommended, the user can click the information identifier, at the moment, the first terminal sends an acquisition request to the server, the acquisition request carries the information identifier, and the acquisition request user acquires the content of the information to be recommended. And the server receives the acquisition request sent by the first terminal, acquires the information to be recommended according to the information identifier, and sends the information to be recommended to the server.

The information identifier may be an information link, an information index, an information summary, or the like. In the present disclosure, the information identification is not particularly limited.

It should be noted that, the recommendation condition represents the action of the user in a period of time; therefore, the first terminal obtains the scene identifier of the scene where the terminal is located according to the recommendation condition, and the accuracy of the obtained scene is improved. And the server recommends information for the first terminal according to the scene identification, and the first terminal may check the information, so that the click rate and the conversion rate of the information are improved.

In one possible implementation manner, after the server sends the information to the first terminal, the conversion rate of the information is obtained, and the sequential logic expression is updated according to the conversion rate of the information. Wherein the conversion rate is a ratio of the first number and the second number; the first number is the number of times the information is clicked and the second number is the number of times the information is recommended.

Referring to fig. 3-3, the recommendation information includes 3 stages, which are an information preparation stage, an information orientation stage, and an information recommendation stage, respectively.

In the information preparation stage, the server establishes the corresponding relation between the recommendation condition based on the time sequence and the scene identification, and sends the corresponding relation between the recommendation condition based on the time sequence and the scene identification to the first terminal. The first terminal receives a correspondence between the time-series-based recommendation condition and the scene identification.

In the information orientation stage, a first terminal collects scene information in real time, and in the scene information collection process, a plurality of pieces of scene information collected at a plurality of continuous collection moments are matched with a recommendation condition based on a time sequence; and when the matching is successful, feeding back the scene identification corresponding to the recommendation condition to the server. The server receives the scene identification.

In the information recommendation stage, the server acquires information to be recommended corresponding to the scene identification according to the scene identification; and sending the information to be recommended to the first terminal. Alternatively, the first and second electrodes may be,

the first terminal sends an information filling request to the server by formulating an application, wherein the information filling request comprises the scene identifier; and the server acquires the information to be recommended corresponding to the scene identifier according to the scene identifier and returns the information to be recommended to the first terminal.

FIG. 4 is a block diagram illustrating an apparatus for recommending information according to an example embodiment. The device is applied to the terminal. Referring to fig. 4, the apparatus includes an acquisition module 401, a matching module 402, a determination module 403, a first transmission module 404, and a reception module 405.

An acquisition module 401 configured to acquire scene information in real time;

a matching module 402, configured to match, in a real-time acquisition process, a plurality of pieces of scene information acquired at a plurality of consecutive acquisition times with a time-series-based recommendation condition, where the recommendation condition includes at least one sub-condition;

a determining module 403, configured to, when matching is successful, determine, according to a recommendation condition for successful matching, a scene identifier corresponding to the recommendation condition from a preset correspondence between the recommendation condition and the scene identifier;

a first sending module 404 configured to send the scene identifier to a server;

and the receiving module 405 is configured to receive the information to be recommended corresponding to the scene identifier returned by the server.

In one possible implementation, the recommendation condition includes a first sub-condition, and the matching module 402 is further configured to determine that the matching is successful when the scene information at each acquisition time in the plurality of consecutive acquisition times satisfies the first sub-condition.

In a possible implementation manner, the recommended condition includes a second sub-condition, and the matching module 402 is further configured to determine that the matching is successful when, in the multiple consecutive acquisition moments, the scene information at the current acquisition moment satisfies the second sub-condition, and none of the scene information at the acquisition moments before the current acquisition moment satisfies the second sub-condition.

In a possible implementation manner, the recommended condition includes a third sub-condition, and the matching module 402 is further configured to determine that the matching is successful when the scene information of the current acquisition time in the multiple consecutive acquisition times does not satisfy the third sub-condition and the scene information of an acquisition time before the current acquisition time satisfies the third sub-condition.

In a possible implementation manner, the recommended condition includes a fourth sub-condition and a fifth sub-condition, and the matching module 402 is further configured to determine that the matching is successful when the scene information of a target acquisition time in the plurality of consecutive acquisition times satisfies the fourth sub-condition and the scene information of the acquisition time before the target acquisition time satisfies the fifth sub-condition, where the target acquisition time is any acquisition time except the first acquisition time in the plurality of consecutive acquisition times.

FIG. 5 is a block diagram illustrating an apparatus for recommending information according to an example embodiment. The device is applied to a server. Referring to fig. 5, the apparatus includes: an acquisition module 501, an extraction module 502, a building module 503, and a second sending module 504.

An obtaining module 501 configured to obtain scene description information of a launch scene;

an extracting module 502 configured to extract a time-series-based recommendation condition from the scene description information, wherein the recommendation condition includes at least one sub-condition;

an establishing module 503 configured to establish a correspondence between the recommendation condition and the scene identifier of the delivery scene;

a second sending module 504, configured to send the correspondence between the recommendation condition and the scene identifier to a terminal.

It should be noted that: in the information recommending device provided in the above embodiment, only the division of the above functional modules is illustrated when recommending information, and in practical applications, the above function allocation may be completed by different functional modules as needed, that is, the internal structure of the device is divided into different functional modules to complete all or part of the above described functions. In addition, the apparatus for recommending information and the method for recommending information provided by the above embodiments belong to the same concept, and specific implementation processes thereof are detailed in the method embodiments and are not described herein again.

Fig. 6 is a block diagram illustrating a file synchronization apparatus 600 according to an example embodiment. For example, the apparatus 600 may be a mobile phone, a computer, a digital broadcast terminal, a messaging device, a game console, a tablet device, a medical device, an exercise device, a personal digital assistant, and the like.

Referring to fig. 6, apparatus 600 may include one or more of the following components: processing component 602, memory 604, power component 606, multimedia component 608, audio component 610, input/output (I/O) interface 66, sensor component 614, and communication component 616.

The processing component 602 generally controls overall operation of the device 600, such as operations associated with display, telephone calls, data communications, camera operations, and recording operations. The processing component 602 may include one or more processors 620 to execute instructions to perform all or a portion of the steps of the methods described above. Further, the processing component 602 can include one or more modules that facilitate interaction between the processing component 602 and other components. For example, the processing component 602 can include a multimedia module to facilitate interaction between the multimedia component 608 and the processing component 602.

The memory 604 is configured to store various types of data to support operations at the apparatus 600. Examples of such data include instructions for any application or method operating on device 600, contact data, phonebook data, messages, pictures, videos, and so forth. The memory 604 may be implemented by any type or combination of volatile or non-volatile memory devices such as Static Random Access Memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic or optical disks.

Power supply component 606 provides power to the various components of device 600. The power components 606 may include a power management system, one or more power supplies, and other components associated with generating, managing, and distributing power for the apparatus 600.

The multimedia component 608 includes a screen that provides an output interface between the device 600 and a user. In some embodiments, the screen may include a Liquid Crystal Display (LCD) and a Touch Panel (TP). If the screen includes a touch panel, the screen may be implemented as a touch screen to receive an input signal from a user. The touch panel includes one or more touch sensors to sense touch, slide, and gestures on the touch panel. The touch sensor may not only sense the boundary of a touch or slide action, but also detect the duration and pressure associated with the touch or slide operation. In some embodiments, the multimedia component 608 includes a front facing camera and/or a rear facing camera. The front camera and/or the rear camera may receive external multimedia data when the device 600 is in an operating mode, such as a shooting mode or a video mode. Each front camera and rear camera may be a fixed optical lens system or have a focal length and optical zoom capability.

The audio component 610 is configured to output and/or input audio signals. For example, audio component 610 includes a Microphone (MIC) configured to receive external audio signals when apparatus 600 is in an operational mode, such as a call mode, a recording mode, and a voice recognition mode. The received audio signal may further be stored in the memory 604 or transmitted via the communication component 616. In some embodiments, audio component 610 further includes a speaker for outputting audio signals.

The I/O interface 66 provides an interface between the processing component 602 and peripheral interface modules, which may be keyboards, click wheels, buttons, etc. These buttons may include, but are not limited to: a home button, a volume button, a start button, and a lock button.

The sensor component 614 includes one or more sensors for providing status assessment of various aspects of the apparatus 600. For example, the sensor component 614 may detect an open/closed state of the device 600, the relative positioning of components, such as a display and keypad of the device 600, the sensor component 614 may also detect a change in position of the device 600 or a component of the device 600, the presence or absence of user contact with the device 600, orientation or acceleration/deceleration of the device 600, and a change in temperature of the device 600. The sensor assembly 614 may include a proximity sensor configured to detect the presence of a nearby object without any physical contact. The sensor assembly 614 may also include a light sensor, such as a CMOS or CCD image sensor, for use in imaging applications. In some embodiments, the sensor assembly 614 may also include an acceleration sensor, a gyroscope sensor, a magnetic sensor, a pressure sensor, or a temperature sensor.

The communication component 616 is configured to facilitate communications between the apparatus 600 and other devices in a wired or wireless manner. The apparatus 600 may access a wireless network based on a communication standard, such as WiFi, 2G or 3G, or a combination thereof. In an exemplary embodiment, the communication component 616 receives broadcast signals or broadcast related information from an external broadcast management system via a broadcast channel. In an exemplary embodiment, the communication component 616 further includes a Near Field Communication (NFC) module to facilitate short-range communications. For example, the NFC module may be implemented based on Radio Frequency Identification (RFID) technology, infrared data association (IrDA) technology, Ultra Wideband (UWB) technology, Bluetooth (BT) technology, and other technologies.

In an exemplary embodiment, the apparatus 600 may be implemented by one or more Application Specific Integrated Circuits (ASICs), Digital Signal Processors (DSPs), Digital Signal Processing Devices (DSPDs), Programmable Logic Devices (PLDs), Field Programmable Gate Arrays (FPGAs), controllers, micro-controllers, microprocessors or other electronic components for performing the above-described methods of recommending information.

In an exemplary embodiment, a non-transitory computer readable storage medium comprising instructions, such as the memory 604 comprising instructions, executable by the processor 620 of the apparatus 600 to perform the above-described method is also provided. For example, the non-transitory computer readable storage medium may be a ROM, a Random Access Memory (RAM), a CD-ROM, a magnetic tape, a floppy disk, an optical data storage device, and the like.

In an exemplary embodiment, a non-transitory computer readable storage medium is also provided, in which instructions that, when executed by a processor of a mobile terminal, enable the terminal to perform a method of recommending information.

Fig. 7 is a block diagram illustrating an apparatus 700 for recommending information according to an example embodiment. For example, the apparatus 700 may be provided as a server. Referring to fig. 7, apparatus 700 includes a processing component 722 that further includes one or more processors and memory resources, represented by memory 732, for storing instructions, such as applications, that are executable by processing component 722. The application programs stored in memory 732 may include one or more modules that each correspond to a set of instructions. Further, the processing component 722 is configured to execute instructions to perform the above-described method of recommending information.

The apparatus 700 may also include a power component 726 configured to perform power management of the apparatus 700, a wired or wireless network interface 750 configured to connect the apparatus 700 to a network, and an input output (I/O) interface 758. The device 700 may operate based on an operating system, such as Windows Server, stored in the memory 732^TM，Mac OS X^TM，Unix^TM,Linux^TM，FreeBSD^TMOr the like.

Other embodiments of the disclosure will be apparent to those skilled in the art from consideration of the specification and practice of the disclosure disclosed herein. This application is intended to cover any variations, uses, or adaptations of the disclosure following, in general, the principles of the disclosure and including such departures from the present disclosure as come within known or customary practice within the art to which the disclosure pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the disclosure being indicated by the following claims.

It will be understood that the present disclosure is not limited to the precise arrangements described above and shown in the drawings and that various modifications and changes may be made without departing from the scope thereof. The scope of the present disclosure is limited only by the appended claims.

Claims

1. A method for recommending information, the method being applied to a terminal, the method comprising:

receiving and storing a finite state machine model sent by a server, wherein the finite state machine model is converted by the server according to a time sequence-based recommendation condition, the time sequence-based recommendation condition is a time sequence logic expression generated by the server according to a logic relation among a plurality of sub-conditions, and the plurality of sub-conditions are extracted from the acquired scene description information of the delivered scene by the server;

acquiring scene information in real time, wherein the scene information comprises position information and state information in the current environment of the terminal, and the state information comprises user use behavior information, time information, environment information and equipment state information;

in the real-time acquisition process, matching each scene information in the multiple pieces of scene information acquired at multiple continuous acquisition moments with each sub-condition included in the recommended condition based on the time sequence, where the recommended condition includes a first sub-condition, a second sub-condition, a third sub-condition, and a sub-condition set, the sub-condition set includes a fourth sub-condition and a fifth sub-condition, the first sub-condition is a sub-condition that the scene information at each of the multiple continuous acquisition moments is satisfied, the second sub-condition is a sub-condition that the scene information at the current acquisition moment in the multiple continuous acquisition moments is satisfied and the scene information at the acquisition moment before the current acquisition moment is not satisfied, and the third sub-condition is a sub-condition that the scene information at the current acquisition moment is not satisfied and the scene information at one acquisition moment before the current acquisition moment is satisfied, the fourth sub-condition is a sub-condition that scene information of a target acquisition time in the plurality of continuous acquisition times is satisfied, the fifth sub-condition is a sub-condition that scene information of an acquisition time before the target acquisition time is satisfied, and the target acquisition time is any acquisition time except for a first acquisition time in the plurality of continuous acquisition times;

sending the scene identification to the server;

and receiving information to be recommended corresponding to the scene identification or information identification corresponding to the information to be recommended, which is returned by the server, wherein the information identification is used for acquiring the information to be recommended and is information link, information index or information abstract.

2. The method of claim 1, wherein matching each of the plurality of scene information collected at the plurality of consecutive collection times with each of the sub-conditions included in the timing-based recommendation comprises:

when the scene information of each acquisition time in the multiple continuous acquisition times meets the first sub-condition, the scene information of the current acquisition time in the multiple continuous acquisition times meets the second sub-condition, the scene information of the acquisition time before the current acquisition time does not meet the second sub-condition, the scene information of the current acquisition time in the multiple continuous acquisition times does not meet the third sub-condition, the scene information of one acquisition time before the current acquisition time meets the third sub-condition, the scene information of the target acquisition time meets the fourth sub-condition, and the scene information of the acquisition time before the target acquisition time meets the fifth sub-condition, it is determined that the matching is successful.

3. A method for recommending information, the method being applied in a server, the method comprising:

acquiring scene description information of a launching scene; extracting a plurality of sub-conditions from the scene description information, generating a sequential logic expression according to the logic relationship among the plurality of sub-conditions, and taking the sequential logic expression as a recommendation condition based on the sequential;

establishing a corresponding relation between the recommendation condition and a scene identifier of the released scene, sending the corresponding relation between the recommendation condition and the scene identifier to a terminal, converting the recommendation condition into a finite state automaton model and sending the finite state automaton model to the terminal, wherein the terminal is used for matching each piece of scene information in a plurality of pieces of scene information acquired at a plurality of continuous acquisition moments with each sub-condition included in the recommendation condition based on time sequence in the process of acquiring the scene information in real time, determining the scene identifier corresponding to the recommendation condition from the corresponding relation between the preset recommendation condition and the scene identifier according to the recommendation condition successfully matched, and sending the scene identifier to the server, wherein the scene information comprises position information and state information in the current environment of the terminal, and the state information comprises user using behavior information, The recommendation condition comprises a first sub-condition, a second sub-condition, a third sub-condition and a sub-condition set, the sub-condition set comprises a fourth sub-condition and a fifth sub-condition, the first sub-condition is a sub-condition that the scene information of each acquisition time in the plurality of continuous acquisition times is satisfied, the second sub-condition is a sub-condition that the scene information of the current acquisition time in the plurality of continuous acquisition times is satisfied and the scene information of the acquisition time before the current acquisition time is not satisfied, the third sub-condition is a sub-condition that the scene information of the current acquisition time is not satisfied and the scene information of the acquisition time before the current acquisition time is satisfied, and the fourth sub-condition is a sub-condition that the scene information of the target acquisition time in the plurality of continuous acquisition times is satisfied, the fifth sub-condition is a sub-condition that scene information of a collection time before the target collection time is satisfied, and the target collection time is any collection time except the first collection time in the multiple continuous collection times;

and determining information to be recommended corresponding to the scene identification or information identification corresponding to the information to be recommended, and returning the information identification to the terminal, wherein the information identification is used for acquiring the information to be recommended and is information link, information index or information abstract.

4. An apparatus for recommending information, the apparatus being applied in a terminal, the apparatus comprising:

a module, configured to receive and store a finite state machine model sent by a server, where the finite state machine model is converted by the server according to a time-series-based recommendation condition, the time-series-based recommendation condition is a time-series logical expression generated by the server according to a logical relationship between a plurality of sub-conditions, and the plurality of sub-conditions are extracted by the server from acquired scene description information of a delivery scene;

the terminal comprises an acquisition module, a processing module and a processing module, wherein the acquisition module is used for acquiring scene information in real time, the scene information comprises position information and state information in the current environment of the terminal, and the state information comprises user use behavior information, time information, environment information and equipment state information;

a matching module, configured to match, in a real-time acquisition process, each piece of scene information in multiple pieces of scene information acquired at multiple consecutive acquisition times with each sub-condition included in the time-series-based recommendation condition, where the recommendation condition includes a first sub-condition, a second sub-condition, a third sub-condition, and a sub-condition set, the sub-condition set includes a fourth sub-condition and a fifth sub-condition, the first sub-condition is a sub-condition that the scene information at each of the multiple consecutive acquisition times is satisfied, the second sub-condition is a sub-condition that the scene information at a current acquisition time among the multiple consecutive acquisition times is satisfied and the scene information at an acquisition time before the current acquisition time is not satisfied, and the third sub-condition is a sub-condition that the scene information at the current acquisition time is not satisfied and the scene information at an acquisition time before the current acquisition time is satisfied, the fourth sub-condition is a sub-condition that scene information of a target acquisition time in the plurality of continuous acquisition times is satisfied, the fifth sub-condition is a sub-condition that scene information of an acquisition time before the target acquisition time is satisfied, and the target acquisition time is any acquisition time except for a first acquisition time in the plurality of continuous acquisition times;

a first sending module, configured to send the scene identifier to the server;

the receiving module is used for receiving the information to be recommended corresponding to the scene identification or the information identification corresponding to the information to be recommended, which is returned by the server, wherein the information identification is used for acquiring the information to be recommended and is information link, information index or information abstract.

5. The apparatus according to claim 4, wherein the matching module is further configured to, when the scene information at each of the consecutive acquisition moments satisfies the first sub-condition, when the scene information at a current acquisition moment among the consecutive acquisition moments satisfies the second sub-condition, and none of the scene information at an acquisition moment before the current acquisition moment satisfies the second sub-condition, when the scene information at a current acquisition moment among the consecutive acquisition moments does not satisfy the third sub-condition, and the scene information at a acquisition moment before the current acquisition moment satisfies the third sub-condition, and when the scene information at the target acquisition moment satisfies the fourth sub-condition, and all of the scene information at an acquisition moment before the target acquisition moment satisfies the fifth sub-condition, and determining that the matching is successful.

6. An apparatus for recommending information, the apparatus being applied in a server, the apparatus comprising:

the extraction module is used for extracting a plurality of sub-conditions from the scene description information, generating a time sequence logic expression according to the logic relationship among the plurality of sub-conditions, and taking the time sequence logic expression as a recommendation condition based on time sequence;

a second sending module, configured to send a corresponding relationship between the recommended condition and the scene identifier to a terminal, convert the recommended condition into a finite state automaton model, and send the finite state automaton model to the terminal, where the terminal is configured to, in a process of acquiring scene information in real time, match each piece of scene information in a plurality of pieces of scene information acquired at a plurality of consecutive acquisition times with each sub-condition included in the recommended condition based on a time sequence, determine, according to the recommended condition successfully matched, a scene identifier corresponding to the recommended condition from a preset corresponding relationship between the recommended condition and the scene identifier, and send the scene identifier to the server, where the scene information includes location information and state information in a current environment of the terminal, and the state information includes user usage behavior information, time information, environment information, and device state information, the recommended condition includes a first sub-condition, a second sub-condition, a third sub-condition, and a sub-condition set, the sub-condition set includes a fourth sub-condition and a fifth sub-condition, the first sub-condition is a sub-condition that the scene information of each of the plurality of consecutive acquisition times is satisfied, the second sub-condition is a sub-condition that the scene information of the current acquisition time is satisfied and the scene information of the acquisition time before the current acquisition time is not satisfied, the third sub-condition is a sub-condition that the scene information of the current acquisition time is not satisfied and the scene information of one acquisition time before the current acquisition time is satisfied, the fourth sub-condition is a sub-condition that the scene information of the target acquisition time is satisfied among the plurality of consecutive acquisition times, and the fifth sub-condition is a sub-condition that the scene information of the acquisition time before the target acquisition time is satisfied, the target acquisition time is any one of the plurality of continuous acquisition times except the first acquisition time;

the device further comprises a module for determining the information to be recommended corresponding to the scene identifier or the information identifier corresponding to the information to be recommended and returning the information identifier to the terminal, wherein the information identifier is used for acquiring the information to be recommended, and the information identifier is information link, information index or information abstract.

7. An apparatus for recommending information, the apparatus being a terminal, comprising:

a processor;

a memory for storing processor-executable instructions;

wherein the processor is configured to:

sending the scene identification to the server;

8. An apparatus for recommending information, wherein the apparatus is a server, comprising:

a processor;

a memory for storing processor-executable instructions;

wherein the processor is configured to:

9. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the method of recommending information according to any one of claims 1-2.

10. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the method of recommending information according to claim 3.