CN110457547B

CN110457547B - Search term recommendation and display method and related device

Info

Publication number: CN110457547B
Application number: CN201910704703.5A
Authority: CN
Inventors: 王翰宇; 周逸飞; 秦娜; 赵宁; 滕飞; 鲍方毅; 苏静; 初钧晗; 邓攀峰
Original assignee: Amusement Starcraft Beijing Technology Co ltd
Current assignee: Amusement Starcraft Beijing Technology Co ltd
Priority date: 2019-07-31
Filing date: 2019-07-31
Publication date: 2023-02-17
Anticipated expiration: 2039-07-31
Also published as: CN110457547A

Abstract

The invention provides a search term recommending and displaying method and a related device, relates to the technical field of client search, and aims to solve the problem that recommended search terms deviate from user requirements. In the method, an object identifier of a client is sent to a background server in response to a trigger instruction of a search page of the client; and the background server acquires at least one search word corresponding to the object identifier and returns the at least one search word to the client for display. According to the method, the users from the same source can be roughly considered as the user group with the same or similar hobbies, the search words are recommended to the users according to the object identifications, and the possible potential hobbies of the users are obtained through the macro level analysis of the user group, so that the search words recommended to the users can better accord with the characteristics of the users and accord with the requirements of the users.

Description

Search term recommendation and display method and related device

Technical Field

The disclosure relates to the technical field of client search, in particular to a search term recommendation and display method and a related device.

Background

The search engine can solve the problem of overload of the internal information of the product, and can accurately index different types of contents according to text matching and user feedback data by establishing indexes and technologies such as natural language processing and the like. During the process of using the search by the user, behavior feedback of continuous search, click and the like of the user can be generated, and accordingly, popular search words are mined through log analysis.

In the related art, the mining method of popular search terms is single, so that the problem that the recommended search terms deviate from the requirements of users is caused.

Disclosure of Invention

The disclosure provides a search term recommending and displaying method and a related device, which are used for recommending search terms for a user and at least solving the problem that the recommended search terms deviate from the requirements of the user in the related technology.

In a first aspect, the present disclosure provides a search term display method, including:

responding to a trigger instruction of a search page of a client, and sending an object identifier of the client to a background server; the object identification is used for representing the identification of an object providing the download address of the client; the object comprises a page providing the download address or a third-party platform providing the download address;

and displaying at least one search word corresponding to the object identification returned by the background server.

Optionally, the at least one search term is generated according to historical operation behaviors on the target client; the target client is a client which downloads through a download address provided by the object corresponding to the object identifier.

Optionally, if the number of the search terms returned by the background server is multiple, the method further includes:

displaying the plurality of search terms according to the heat degree of the plurality of search terms; and the number of the first and second electrodes,

and displaying preset icons at the set positions of the search terms with the heat degree of the preset number.

Optionally, if the object is a page that provides a download address of the client, the historical operation behavior includes historical operation behavior for resources in the page corresponding to the object identifier.

Optionally, the object identifier is obtained according to the following method:

and when the client is installed, acquiring the object identifier included in the installation package name of the client.

In a second aspect, the present disclosure further provides a search term recommendation method, including:

receiving an object identifier sent by a client; the object identification is used for representing the identification of an object providing the download address of the client; the object comprises a page providing the download address or a third-party platform providing the download address;

obtaining at least one search word corresponding to the object identifier;

and returning the at least one search word to the client.

Optionally, the obtaining at least one search term corresponding to the object identifier includes:

and acquiring at least one search word corresponding to the object identifier according to the corresponding relation between the object identifier and the search word.

Optionally, the corresponding relationship between the object identifier and the search term is determined according to the following method:

aiming at each object identifier, acquiring historical operation behaviors on a target client; the target client is a client downloaded through a download address provided by the object corresponding to the object identifier;

calculating the heat of the search word according to the historical operation behavior;

determining a search word according to the calculated heat degree of the search word;

and establishing a corresponding relation between the object identification and the search word.

Optionally, if the object is a page providing a download address of the client, the historical operation behavior includes:

historical operating behavior on the target client for resources in the page corresponding to the object identification.

Optionally, if the object is a third-party platform that provides a download address of the client, the historical operation behavior includes:

historical operational behavior on the target client.

Optionally, the method further includes:

and updating the corresponding relation between the object identification and the search word.

In a third aspect, the present disclosure provides a search term presentation apparatus, including:

a response unit configured to perform: responding to a trigger instruction of a search page of a client, and sending an object identifier of the client to a background server; the object identification is used for representing the identification of an object providing the download address of the client; the object comprises a page providing the download address or a third-party platform providing the download address;

a display unit configured to perform: and displaying at least one search word returned by the background server.

Optionally, the at least one search term is generated according to historical operation behavior on the target client; the target client is a client which downloads through a download address provided by the object corresponding to the object identifier.

Optionally, if the number of the search terms returned by the background server is multiple, the display unit is configured to perform:

Optionally, if the object is a page providing a download address of the client, the historical operation behavior includes historical operation behavior of resources in the page corresponding to the object identifier.

In a fourth aspect, the present disclosure provides a search term recommendation apparatus, including:

a receiving unit configured to perform: receiving an object identifier sent by a client; the object identification is used for representing the identification of an object providing the download address of the client; the object comprises a page providing the download address or a third-party platform providing the download address;

an acquisition unit configured to perform: obtaining at least one search word corresponding to the object identifier;

a return unit configured to perform: and returning the at least one search word to the client.

Optionally, the obtaining unit is configured to perform:

Optionally, the apparatus further comprises:

a determination unit configured to perform: determining that the corresponding relation between the object identification and the search word is;

the determination unit configured to perform:

historical operational behavior on the target client.

Optionally, the apparatus further comprises:

an update unit configured to perform: and updating the corresponding relation between the object identification and the search word.

In a fifth aspect, the present disclosure provides a terminal device, comprising: a display screen, a memory and a processor; the client is displayed on the display screen; the memory for storing one or more computer programs;

one or more computer programs stored in the memory, when executed by the processor, cause the terminal device to perform any of the search term presentation methods.

In a sixth aspect, the present disclosure provides a backend server, comprising: a processor and a memory:

the memory to store program instructions;

the processor is used for executing any search term recommendation method by calling the program instructions in the memory.

In a seventh aspect, the present disclosure provides a computer program product comprising: computer program code which, when executed by a processor of a computing device, causes the computing device to perform any of the above described first aspect or any of the above described possible implementations of the first aspect, or causes the computing device to perform any of the above described second aspect or any of the above described possible implementations of the second aspect.

In an eighth aspect, the present disclosure provides a computer-readable storage medium storing a program for causing a computing device to perform any one of the above-mentioned first aspect or any possible implementation manner of the first aspect, or causing a computing device to perform any one of the above-mentioned second aspect or any possible implementation manner of the second aspect.

According to the search term recommending and displaying method and the related device, users from the same source can be roughly regarded as a user group with the same or similar hobbies, the search terms are recommended for the users according to the object identifications, and the possible potential hobbies of the users are obtained through the macro level analysis of the user group, so that the search terms recommended for the users can better accord with the characteristics of the users and accord with the requirements of the users.

Additional features and advantages of the disclosure will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by the practice of the disclosure. The objectives and other advantages of the disclosure may be realized and attained by the structure particularly pointed out in the written description and claims hereof as well as the appended drawings.

Drawings

In order to more clearly illustrate the technical solutions of the embodiments of the present disclosure, the drawings needed to be used in the embodiments of the present disclosure will be briefly described below, and it is apparent that the drawings described below are only some embodiments of the present disclosure, and it is obvious for those skilled in the art that other drawings can be obtained based on the drawings without inventive labor.

FIG. 1 is a schematic diagram of an application scenario of a search term recommendation and presentation method in an exemplary embodiment of the present disclosure;

FIG. 2 is a flowchart illustrating a method for recommending and presenting search terms according to an exemplary embodiment of the present disclosure;

FIG. 3 is one of the search page diagrams in an exemplary embodiment of the present disclosure;

FIG. 4 is one of the search page schematics in an exemplary embodiment of the present disclosure;

FIG. 5 is one of the search pages in an exemplary embodiment of the present disclosure;

FIG. 6 is one of the schematic diagrams of a search page in an exemplary embodiment of the present disclosure;

FIG. 7 is a diagram of a search term presentation apparatus in an exemplary embodiment of the present disclosure;

FIG. 8 is a schematic diagram of a search term recommender in an exemplary embodiment of the present disclosure;

FIG. 9 is a block diagram of a terminal device in an exemplary embodiment of the present disclosure;

fig. 10 is a block diagram of a backend server in an exemplary embodiment of the present disclosure.

Detailed Description

In order to make the objects, technical solutions and advantages of the embodiments of the present disclosure more clear, the technical solutions of the embodiments of the present disclosure will be described below in detail and completely with reference to the accompanying drawings in the embodiments of the present disclosure.

In order to clearly understand the technical solutions provided by the embodiments of the present disclosure, the following terms presented in the embodiments of the present disclosure are explained, it should be noted that the terms in the embodiments of the present disclosure are only explained to facilitate understanding of the present solution, and are not used to limit the present solution, and the terms include:

1. and the heat degree refers to the attention degree of the search word. Specifically, the search term can be calculated according to the click rate of the search term, the search frequency, the number of search people, and the like. For example, if the click rate of the search word a is 1000 times, the search frequency is 50 times/min, the click rate of the search word B is 1000 times, and the search frequency is 30 times/min, the heat of the search word a is higher than that of the search word B.

In the related art, the recommendation method of the search terms is to analyze the heat and the search quantity of the search terms to obtain the search terms with higher heat and search quantity, and recommend the search terms for the user. However, the recommendation method for the search terms is single, and the search terms cannot be recommended for the user according to the characteristics of different users.

In view of the above, the present disclosure provides a search term recommendation and presentation method. Fig. 1 is a schematic view of an application scenario of a search term recommendation and presentation method in an exemplary embodiment of the present disclosure. The scene comprises the following steps: the terminal 100 is provided with a client, a background server 101 of the client and a third-party platform 102.

Wherein the client's ad campaign may be pre-placed on the third party platform 102 for presentation.

A user of the third party platform may download a client and install into the terminal 100 through an advertisement presented by the terminal 100. The downloaded client carries the identifier of the third party platform. After the user starts the client, the user can enter a search page of the client, and the page usually comprises recommended search terms. In order to improve the accuracy of recommending search terms in the present disclosure, the identifier of the third-party platform is sent to the background server 101. The background server 101 receives the identifier of the third-party platform, acquires at least one search term corresponding to the identifier of the third-party platform, and returns the search term to the client for display.

In addition, at least one search word corresponding to the identifier of the third-party platform may be a search word generated according to the historical operation behavior of the terminal user on the client installed in the terminal thereof, that is, the search word is generated according to the historical operation behavior of the user who is sourced from the same third-party platform.

Therefore, the search terms recommended to the user are the search terms related to the user source or the content in which the user is interested (such as the content provided by a third-party platform), so that the recommendation of the search terms can better meet the requirements of the user, and the accuracy of the recommended search terms is improved.

The terminal 100 may also be referred to as a User Equipment (UE), among others. The terminal can be a smart phone, a tablet computer, various wearable devices, a vehicle-mounted device and the like. Various applications such as a camera, a browser, etc. may be installed in the terminal.

The technical solutions provided by the embodiments of the present disclosure are further described below with reference to the accompanying drawings.

Referring to fig. 2, a flowchart illustrating a method for recommending and presenting search terms according to an exemplary embodiment of the present disclosure may include the following steps:

step 201: responding to a trigger instruction of a search page of a client, and sending an object identifier of the client to a background server; the object identification is used for representing the identification of an object providing the download address of the client; the object includes a page providing the download address or a third party platform providing the download address.

That is, the promotion page for the client may also be in some designated page, as in the third party platform shown in FIG. 1. The page can come from a third-party platform or can be provided by a background server of the page.

Step 202: and the background server receives the object identification sent by the client.

Step 203: and the background server acquires at least one search word corresponding to the object identifier.

Step 204: and the background server returns the at least one search word to the client.

Step 205: and the client displays at least one search word returned by the background server.

In one embodiment, the clients from the same source may be defined as target clients, that is, the target clients are clients that download through the download address provided by the object corresponding to the object identifier. The at least one search term is generated according to historical operation behaviors on the target client. For example, if the object identifiers of the clients a, B, and C are all 01. When a search word is recommended to a client A, if the user of the client A is a new user, the client A does not have a history operation behavior of using the word, and a target client can be a client B and a client C; if the user of the client a is an old user, the client a also has the historical operation behavior of the user, and the target clients can be the clients a, B, and C.

In the method, because the users in the same source can be roughly considered as a user group with the same or similar hobbies, the recommended search words are obtained by analyzing the historical operation behaviors of the users in the same source, which is equivalent to the possible potential hobbies of the users obtained by analyzing the macro level of the user group, so that the search words recommended for the users can better accord with the characteristics of the users and accord with the requirements of the users.

A search term recommendation method in the embodiment of the present disclosure is described below with respect to a new user. The search term recommendation method provided by the disclosure is applicable to a scene of a search page of a client terminal which is started for the first time. That is, after the user downloads and installs the client on the object identified by the object (e.g., a third-party platform) according to the download address of the client, and when the user uses the search page of the client, the user can recommend the search terms to the user according to the source of the user. And recommending the search terms generated according to the historical operation behaviors of the users from the same source for the users when the object is the third-party platform, and recommending the search terms related to the resources in the page corresponding to the object identifier for the users when the object is the page.

For example, the user views an a-tv series on the video software, and downloads and installs the client while viewing the a-tv series. When the user uses the search page of the client, the client can recommend the search words related to the A TV play to the user. Therefore, the search terms recommended for the user are related to the page content interested by the user, so that the recommended search terms are more in line with the requirements of the user.

In one possible embodiment, the object identification of the client may be obtained by:

and when the client is installed, acquiring the object identification included in the installation package name of the client. Optionally, in implementations, the name of the installation package is different, for example, the installation package originating in application mall a may be named "client. Then, after the client is installed, the client can obtain the object identifier according to the parameter of the object in the name of the installation package.

Or the download address of the client can be put to a third-party platform, and the user can jump to a software installation platform on the user equipment after clicking the download address. And the software installation platform provides an installation package of the client for the user. In practice, the software installation platform can know which platform and even which web page to jump to the download page. For example, a user clicks a download address of a client on the third-party platform 1, and jumps to the software installation platform, so that the software installation platform can acquire the source of the client as the third-party platform 1, and then displays an installation package corresponding to the third-party platform 1 on the software installation platform for the user to download and install the client.

For another example, when the user clicks a download address of the client on the drama a, and jumps to the software installation platform, the software installation platform can acquire that the source of the client is the drama a, and then display an installation package corresponding to the drama a on the software installation platform for the user to download and install the client.

Similarly, after the client is installed, the client can obtain the object identifier according to the parameter of the object identifier in the name of the installation package.

It should be noted that the client already obtains the authorization permission of the user of the client before obtaining the object identifier.

In specific implementation, the background server may obtain at least one search term corresponding to the object identifier according to the following two methods.

The method comprises the following steps: after receiving the object identifier sent by the client, the background server acquires the historical operation behavior on the target client aiming at the object identifier, and calculates the heat of the search word according to the historical operation behavior. And the background server determines at least one search word corresponding to the object identifier according to the calculated heat of the search word.

It should be noted that the background server has already obtained the authorization permission of the user using the target client before obtaining the historical operation behavior on the target client.

For example, the historical operation behavior may be operation behavior of the user based on log analysis of the client, such as historical consumption behavior, historical search behavior, and historical browsing behavior. For example, the user historical consumption behavior may include a plurality of user consumption behaviors. Each user consumption behavior may include information such as user identification, consumption content, consumption time, and consumption frequency. For example, information contained in historical consumption behavior may be represented by the following four-tuple: { user identification, consumption content, consumption time, consumption frequency }.

As another example, historical search behavior may include a plurality of user search behavior, and each user search behavior may include information such as a user identification, a search term, a search time click-through rate, and so forth. Likewise, the user search behavior may be represented by a four-tuple: { user identification, search term, search time, click-through rate }.

After the quadruple is constructed, data mining can be performed on historical operation behaviors of the same source object based on the quadruple, and search words which are interesting to users of the same source are obtained.

In the first method, the historical operation behavior of the target client can be dynamically analyzed, the interests and hobbies of users in the same source can be analyzed in real time as required, and the search terms of the content concerned by the users in the same source can be mined.

The second method comprises the following steps: the background server may maintain a correspondence between object identifications and search terms. And recommending search terms based on the correspondence. For example, the object identifies a correspondence to a search term vocabulary. After receiving the object identifier sent by the client, the background server may obtain the search term corresponding to the object identifier according to the corresponding relationship between the object identifier and the search term.

For example, the object id a shown in table 1 corresponds to a search term table.

TABLE 1

Object identification	Search term
		A	Search term 1
	Search term 2
			Search term 3
	Search term 4
			Search term 5

In specific implementation, the object identifier may also be a corresponding relationship between the object identifiers and the search term set identifiers, where one object identifier corresponds to at least one search term.

In addition, the object identifiers and the search terms may be in one-to-one correspondence, or different object identifiers may correspond to the same search term. Specifically, the number of the object identifiers corresponding to the same search term may be 3, 5, and the like, and the disclosure is not particularly limited.

In the second method, the search word corresponding to the object identifier can be obtained according to the corresponding relation between the object identifier and the search word, and the search word is determined without temporary data mining, so that the speed of determining the search word can be improved.

In addition, when the correspondence relationship shown in table 1 is used, in order to make the search term recommended to the user meet timeliness, the correspondence relationship between the object identifier and the search term may be periodically updated. For example, the correspondence relationship is updated every 12 hours, or every 24 hours. Wherein, the period can be set by itself, and the disclosure is not limited specifically.

In the first method and the second method, the historical operation behavior may be different according to different objects corresponding to the object identifier. As mentioned above, the object may be a page providing the download address, or may be a third party platform providing the download address. The historical operation behaviors in the first method and the second method are introduced according to different objects respectively.

1. And if the object is a page providing the download address of the client.

In an exemplary embodiment, the page may be a promotion page containing a download address of the client. For example, the page may be a play page of a television play, a presentation page of a novel, a control page of a game, or a chat page of instant messaging.

Then, the historical operating behavior comprises the historical operating behavior of the target client for the resource in the page corresponding to the object identifier. For example, the page is a play interface of a tv show a. The historical operational behaviour is the historical operational behaviour on the target client for said drama a. For example, a search action of the name of the series a, or a search action for the lead actor of the series a, or a search action of the keyword of the series a, etc. It may also be a click action, a browse action, a like action, a favorite or download action, etc. of the segment of the drama a.

2. And if the object is a third-party platform providing the download address of the client.

In an exemplary embodiment, the third party platform may be a third party platform that an application mall or the like may search for and download the client.

Then, the historical operational behavior comprises historical operational behavior on the target client. I.e. historical operational behavior of clients originating from the same third party platform. For example, clients a, B are downloaded and installed by the application mall 1. Client C is downloaded and installed by application mall 2.

If the object identifier received by the background server is the application mall 1, the historical operation behaviors of the client A and the client B are obtained. And if the object identifier is the application mall 2, acquiring the historical operation behavior of the client C.

After the search term recommendation method provided by the present disclosure is introduced, a search term presentation method provided by the present disclosure is introduced.

After receiving at least one search word returned by the background server, the client displays the at least one search word on a search page. If the number of the returned search terms is multiple, all the search terms or part of the search terms in the multiple search terms can be displayed randomly.

Fig. 3 is a schematic diagram of a search page according to an exemplary embodiment of the disclosure. As shown in fig. 3, if the number of the search terms returned by the background server is multiple, the client displays the multiple search terms according to the heat of the multiple search terms. And displaying preset icons at the set positions of the search terms with the preset number before the heat when the search terms are displayed.

Optionally, when the background server returns a plurality of search terms, the search terms may be sorted in the order of high to low according to the heat of each search term. And returning the sequencing result to the client. The client can display the preset icons at the preset positions of the search terms with the preset number according to the sequencing result.

For example, the background server returns 10 search terms, and returns the search terms to the client in the order from high to low in popularity. The client may display a flame icon in front of the top 5 search terms.

In one possible implementation manner, when the background server returns a plurality of search terms, the corresponding heat degree of each search term can be returned at the same time. And the client displays the search terms in front of the search page, and sorts the search terms according to the sequence from high to low in heat degree. And selecting search terms with the previous preset number of heat degrees, and displaying preset icons at the set positions of the preset number of search terms when the search terms are displayed on a search page.

In implementation, the client may randomly display the plurality of search terms returned by the background server, or display the plurality of search terms in an order from high to low according to the popularity.

For example, the preset icon may be an icon indicating a high degree of heat. The preset position for displaying the preset icon may be in front of the search term, or may be behind the search term, or the like. The preset icon may be a flame or a flower icon, and the disclosure is not limited in particular.

When the client displays the search terms, the search terms may be displayed in the order of the heat degree of the search terms, or the search terms may be randomly displayed, which is not specifically limited in the present disclosure.

It should be noted that the background server or the client may sort from high to low according to the heat degree, or may sort from low to high. And when the search words are sorted according to the heat degree from high to low, the client displays preset icons at preset positions of the search words with preset quantity. And when the search words are sorted from low to high according to the heat, the client presets the set positions of the search words at the back and displays preset icons.

In an exemplary embodiment, if the number of search terms returned by the server is greater than a specified number, the search terms cannot be fully displayed on the search page. At this point, the client may present a specified number of search terms in the search page. Specifically, the number specified may be 10, or 5, etc., and the present disclosure is not particularly limited.

For example, when the number of search terms returned by the server is greater than 10, the client may present 10 search terms in the search page. Fig. 4 is a schematic diagram of a search page in an exemplary embodiment of the present disclosure.

As shown in a diagram in fig. 4, 10 search terms may be displayed in a search page. And selecting a search word with the heat degree arranged in front of the first 5 search words from the 10 search words, and displaying a flame icon for indicating that the heat degree of the search words is high. Further, an expand button is displayed at the bottom of the search page. As shown in b in fig. 4, after the user clicks the expansion button, the hidden search page expands, and when the user slides down, the search terms returned by the server except for the 10 search terms mentioned above can be displayed.

According to the method, the search terms corresponding to the object identifications can be obtained through the object identifications of the client, and the obtained search terms are displayed in the search page, so that the displayed search terms are more in line with the requirements of the user. In addition, when the search terms are displayed, the preset icons are displayed at the set positions of the search terms with higher popularity, and a user can more intuitively know the popularity of the displayed search terms.

Fig. 5 is a schematic diagram of a search page according to an exemplary embodiment of the disclosure. As shown in a in fig. 5, after the user enters the search page, the client randomly selects a search word from the search words returned by the background server and displays the selected search word in the search box. Or the client displays the search word with the highest degree in the search words returned by the background server in the search box. For example, the randomly selected "traffic accident" word shown in graph a in fig. 5. As shown in b of fig. 5, after the user clicks the search box, the search term in the search box changes. For example, the search word returned from the background server may be selected from search words other than the word "traffic accident", and a search word may be randomly selected and displayed in the search box, such as "a puppy" in b diagram of fig. 5. Or the client can display the search term with the second degree in the search terms returned by the background server in the search box.

According to the method, the search terms with high popularity can be displayed for the user to select by displaying the search terms in the search box, so that the user using the client for the first time can search according to the recommended search terms.

Fig. 6 is a schematic diagram of a search page in an exemplary embodiment of the present disclosure. As shown in the a diagram in fig. 6, a search page identified as a is the object of the client. As shown in the B diagram of fig. 6, the search page identified as B is an object of the client. Obviously, different search terms are recommended to clients identified by different objects, so that the recommended search terms can better meet the requirements of users.

Based on the same inventive concept, the disclosure also provides a search term display device. Referring to fig. 7, a schematic diagram of a search term display apparatus in an exemplary embodiment of the present disclosure is shown, including:

a response unit 701 configured to perform: responding to a trigger instruction of a search page of a client, and sending an object identifier of the client to a background server; the object identification is used for representing the identification of an object providing the download address of the client; the object comprises a page providing the download address or a third-party platform providing the download address;

a display unit 702 configured to perform: and displaying at least one search word returned by the background server.

Optionally, if the number of the search terms returned by the background server is multiple, the display unit 702 is configured to perform: displaying the plurality of search terms according to the heat degree of the plurality of search terms; and the number of the first and second electrodes,

Based on the same inventive concept, the disclosure also provides a search term recommendation device. Referring to fig. 8, a schematic diagram of a search word recommendation apparatus in an exemplary embodiment of the present disclosure may include:

a receiving unit 801 configured to perform: receiving an object identifier sent by a client; the object identification is used for representing the identification of an object providing the download address of the client; the object comprises a page providing the download address or a third-party platform providing the download address;

an acquisition unit 802 configured to perform: obtaining at least one search word corresponding to the object identifier;

a return unit 803 configured to perform: and returning the at least one search word to the client.

Optionally, the obtaining unit 802 is configured to perform:

Optionally, the apparatus further comprises:

the determination unit configured to perform:

acquiring historical operation behaviors on a target client aiming at each object identifier; the target client is a client downloaded through a download address provided by the object corresponding to the object identifier;

historical operational behavior on the target client.

Optionally, the apparatus further comprises:

Based on the same inventive concept, the disclosure also provides a terminal device. Fig. 9 shows a block diagram of a possible terminal device. Referring to fig. 9, the terminal apparatus 900 includes: a Radio Frequency (RF) circuit 910, a power supply 920, a processor 930, a memory 940, an input unit 950, a display unit 960, a communication interface 970, and a Wireless Fidelity (WiFi) module 980. Those skilled in the art will appreciate that the structure of the terminal device shown in fig. 9 does not constitute a limitation of the terminal device, and the terminal device provided by the embodiments of the present disclosure may include more or less components than those shown, or may combine some components, or may arrange different components.

The following specifically describes each constituent component of the terminal device 900 with reference to fig. 9:

the RF circuit 910 may be used for receiving and transmitting data during a communication or conversation. In particular, the RF circuit 910 sends the downlink data of the base station to the processor 930 for processing; and in addition, sending the uplink data to be sent to the base station. Generally, the RF circuit 910 includes, but is not limited to, an antenna, at least one Amplifier, a transceiver, a coupler, a Low Noise Amplifier (LNA), a duplexer, and the like.

In addition, the RF circuit 910 may also communicate with networks and other devices via wireless communication. The wireless communication may use any communication standard or protocol, including but not limited to Global System for Mobile communication (GSM), general Packet Radio Service (GPRS), code Division Multiple Access (CDMA), wideband Code Division Multiple Access (WCDMA), long Term Evolution (LTE), email, short Messaging Service (SMS), etc.

The WiFi technology belongs to a short-distance wireless transmission technology, and the terminal device 900 may connect to an Access Point (AP) through a WiFi module 980, thereby implementing Access to a data network. The WiFi module 980 may be used for receiving and transmitting data during communication.

The terminal device 900 may be physically connected to other devices via the communication interface 970. Optionally, the communication interface 970 is connected to the communication interfaces of the other devices through a cable, so as to implement data transmission between the terminal device 900 and the other devices.

Since the terminal device 900 can implement a communication service and send information to other contacts in the embodiment of the present disclosure, the terminal device 900 needs to have a data transmission function, that is, the terminal device 900 needs to include a communication module inside. Although fig. 9 shows communication modules such as the RF circuit 910, the WiFi module 980, and the communication interface 970, it is understood that at least one of the above components or other communication modules (e.g., bluetooth module) for implementing communication exist in the terminal device 900 for data transmission.

For example, when the terminal device 900 is a mobile phone, the terminal device 900 may include the RF circuit 910 and may further include the WiFi module 980; when the terminal device 900 is a computer, the terminal device 900 may include the communication interface 970, and may further include the WiFi module 980; when the terminal device 900 is a tablet computer, the terminal device 900 may include the WiFi module.

The memory 940 may be used to store software programs and modules. The processor 930 executes various functional applications and data processing of the terminal apparatus 900 by executing software programs and modules stored in the memory 940.

Alternatively, the memory 940 may mainly include a program storage area and a data storage area. The storage program area can store an operating system, various application programs (such as communication application), a face recognition module and the like; the storage data area may store data (such as various multimedia files like pictures, video files, etc., and face information templates) created according to the use of the terminal device, and the like.

Further, the memory 940 may include high speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other volatile solid state storage device.

The input unit 950 may be used to receive numeric or character information input by a user and generate key signal inputs related to user settings and function control of the terminal apparatus 900.

Alternatively, the input unit 950 may include a touch panel 951 and other input devices 952.

The touch panel 951, also referred to as a touch screen, can collect touch operations of a user (for example, operations of a user on or near the touch panel 951 using any suitable object or accessory such as a finger or a stylus pen) and drive a corresponding connection device according to a preset program. Alternatively, the touch panel 951 may include two parts, i.e., a touch detection device and a touch controller. The touch detection device detects the touch direction of a user, detects a signal brought by touch operation and transmits the signal to the touch controller; the touch controller receives touch information from the touch sensing device, converts it into touch point coordinates, and then sends the touch point coordinates to the processor 930, and can receive and execute commands sent from the processor 930. In addition, the touch panel 951 may be implemented in various types, such as resistive, capacitive, infrared, and surface acoustic wave.

Optionally, the other input devices 952 may include, but are not limited to, one or more of a physical keyboard, function keys (e.g., volume control keys, switch keys, etc.), a trackball, a mouse, a joystick, and the like.

The display unit 960 may be used to display information input by a user or information provided to the user and various menus of the terminal apparatus 900. The display unit 960 is a display system of the terminal device 900, and is configured to present an interface and implement human-computer interaction.

The display unit 960 may include a display panel 961. Alternatively, the Display panel 961 may be configured in the form of a Liquid Crystal Display (LCD), an Organic Light-Emitting Diode (OLED), or the like.

Further, the touch panel 951 may cover the display panel 961, and when the touch panel 951 detects a touch operation on or near the touch panel 951, the touch operation is transmitted to the processor 930 to determine the type of the touch event, and then the processor 930 provides a corresponding visual output on the display panel 961 according to the type of the touch event.

Although in fig. 9, the touch panel 951 and the display panel 961 are two independent components to implement the input and output functions of the terminal device 900, in some embodiments, the touch panel 951 and the display panel 961 may be integrated to implement the input and output functions of the terminal device 900.

The processor 930 is a control center of the terminal device 900, connects each component using various interfaces and lines, and performs various functions of the terminal device 900 and processes data by running or executing software programs and/or modules stored in the memory 940 and calling data stored in the memory 940, thereby implementing various services based on the terminal device.

Optionally, the processor 930 may include one or more processing units. Optionally, the processor 930 may integrate an application processor and a modem processor, wherein the application processor mainly handles operating systems, user interfaces, application programs, and the like, and the modem processor mainly handles wireless communications. It will be appreciated that the modem processor described above may not be integrated into the processor 930.

The terminal device 900 further comprises a power supply 920, such as a battery, for powering the various components. Optionally, the power supply 920 may be logically connected to the processor 930 through a power management system, so as to implement functions of managing charging, discharging, and power consumption through the power management system.

Although not shown, the terminal device 900 may further include at least one sensor, an audio circuit, and the like, which are not described in detail herein.

Based on the same inventive concept, the disclosure also provides a background server. The apparatus 1000 may be a master node or other computing device, and the apparatus 1000 may perform the search term recommendation and presentation method shown in fig. 2.

The apparatus 1000 includes at least one processor 1001 and memory 1002. The processor 1001 and the memory 1002 are connected by a communication bus. Processor 1001 may be a general purpose Central Processing Unit (CPU), microprocessor, special ASIC, or one or more integrated circuits for controlling the execution of programs in accordance with the disclosed aspects. The communication bus may include a path that transfers information between the aforementioned devices.

The memory 1002 may be, but is not limited to, a ROM or other type of static storage device that can store static information and instructions, a RAM or other type of dynamic storage device that can store information and instructions, an EEPROM, a CD-ROM or other optical disk storage, optical disk storage (including compact disk, laser disk, optical disk, digital versatile disk, blu-ray disk, etc.), a magnetic disk storage medium or other magnetic storage device, or any other medium that can be used to carry or store desired program code in the form of instructions or data structures and that can be accessed by a computer. The memory 1002 may be self-contained and coupled to the processor 1001 via a communications bus. The memory 1002 may also be integrated with the processor. The memory 1002 is used for storing program codes for executing the disclosed solution, and is controlled by the processor 1001. The processor 1001 is configured to execute the application code stored in the memory 1002.

In particular implementations, processor 1001 may include one or more CPUs, such as CPU0 and CPU1 in fig. 10, as one embodiment.

In particular implementations, apparatus 1000 may include multiple processors, such as processor 1001 and processor 1008 in fig. 10, for example, as an example. Each of these processors may be a single-Core (CPU) processor or a multi-Core (CPU) processor, where a processor may refer to one or more devices, circuits, and/or processing cores for processing data (e.g., computer program instructions). In the device 1000, the memory 1002 is used for storing program instructions, and the processor 1001 executes the possible embodiment of fig. 2 by calling the program in the memory 1002.

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 disclosure 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 in 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 that have been 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 search term presentation method, the method comprising:

displaying at least one search word corresponding to the object identifier returned by the background server, and optionally displaying one search word in the at least one search word in a search box, or displaying a search word with the highest degree of the at least one search word in the search box;

updating the search terms in the search box in response to the operation of clicking the search box;

the at least one search word is generated according to historical operation behaviors on the target client; the target client is a client downloaded through a download address provided by the object corresponding to the object identifier; if the object is a page providing a download address of the client, the historical operation behavior comprises historical operation behavior aiming at resources in the page corresponding to the object identifier;

if the number of the search terms returned by the background server is multiple, the method further comprises the following steps:

and displaying preset icons at the set positions of the search terms with the heat of the front preset number.

2. The method of claim 1, wherein the object identification is obtained according to the following method:

3. A search term recommendation method, the method comprising:

obtaining at least one search word corresponding to the object identifier according to the corresponding relationship between the object identifier and the search word, wherein the corresponding relationship between the object identifier and the search word is determined according to the following method:

calculating the heat of search terms according to the historical operation behaviors, wherein if the object is a page providing a download address of the client, the historical operation behaviors comprise:

historical operating behavior on the target client for resources in the page corresponding to the object identifier;

establishing a corresponding relation between the object identification and the search word;

returning the at least one search term to the client to cause the client to: optionally displaying one search word in the at least one search word in a search box, or displaying the search word with the highest degree of the at least one search word in the search box; updating the search terms in the search box in response to the operation of clicking the search box;

if the number of the returned search terms is multiple, the client further executes: displaying the plurality of search terms according to the heat degree of the plurality of search terms; and displaying preset icons at the set positions of the search terms with the preset number before the heat.

4. The method of claim 3, wherein if the object is a third party platform providing a download address of the client, the historical operational behavior comprises:

historical operational behavior on the target client.

5. The method of claim 3, further comprising:

6. A search term presentation apparatus, the apparatus comprising:

a display unit configured to perform: displaying at least one search word returned by the background server, and optionally displaying one search word in the at least one search word in a search box, or displaying the search word with the highest heat in the at least one search word in the search box;

wherein the at least one search term is generated according to historical operation behaviors on the target client; the target client is a client downloaded through a download address provided by the object corresponding to the object identifier; if the object is a page providing a download address of the client, the historical operation behavior comprises historical operation behavior of resources in the page corresponding to the object identifier;

if the number of the search terms returned by the background server is multiple, the display unit is configured to execute:

7. The apparatus of claim 6, wherein the object identifier is obtained according to the following method:

8. An apparatus for recommending search terms, the apparatus comprising:

an acquisition unit configured to perform: obtaining at least one search term corresponding to the object identifier according to the corresponding relation between the object identifier and the search term, wherein the determining unit is configured to execute: the corresponding relation between the object identification and the search word is determined according to the following method:

a return unit configured to perform: returning the at least one search term to the client to cause the client to: optionally displaying a search word in a search box in the at least one search word, or displaying a search word with the highest degree of the at least one search word in the search box; updating the search terms in the search box in response to the operation of clicking the search box;

if the number of the returned search terms is more than one, the client further executes: displaying the plurality of search terms according to the heat degree of the plurality of search terms; and displaying preset icons at the set positions of the search terms with the preset number before the heat.

9. The apparatus of claim 8, wherein if the object is a third party platform that provides a download address of the client, the historical operating behavior comprises:

historical operational behavior on the target client.

10. The apparatus of claim 8, further comprising:

11. A terminal device, characterized in that the terminal device comprises a display screen, a memory and a processor; displaying a client on the display screen; the memory for storing one or more computer programs;

one or more computer programs stored in the memory, which when executed by the processor, cause the terminal device to perform the method of any of claims 1-2.

12. A backend server, comprising: a processor and a memory:

the memory to store program instructions;

the processor, configured to perform the method of any one of claims 3-5 by calling program instructions in the memory.

13. A computer-readable storage medium having computer-executable instructions stored thereon for causing a computer to perform the method of any one of claims 1-2.

14. A computer-readable storage medium having stored thereon computer-executable instructions for causing a computer to perform the method of any one of claims 3-5.