CN111177566A

CN111177566A - Information processing method and device, electronic equipment and storage medium

Info

Publication number: CN111177566A
Application number: CN202010000883.1A
Authority: CN
Inventors: 祝硕宏; 陈是
Original assignee: Beijing ByteDance Network Technology Co Ltd
Current assignee: Douyin Vision Co Ltd; Douyin Vision Beijing Co Ltd
Priority date: 2020-01-02
Filing date: 2020-01-02
Publication date: 2020-05-19
Anticipated expiration: 2040-01-02
Also published as: CN111177566B

Abstract

The present disclosure provides an information processing method, an information processing apparatus, an electronic device, and a storage medium, wherein the information processing method includes: responding to a client triggering instruction, and acquiring a channel material text of the client; the channel material text comprises a material text corresponding to a downloading channel of the client or a material text corresponding to a triggering channel of the client; sending a triggering request carrying the channel material text to a server; and after target recommendation information which is sent by the server and determined based on the channel material text is received, displaying the target recommendation information in the client. The information acquisition efficiency is improved.

Description

Information processing method and device, electronic equipment and storage medium

Technical Field

The present disclosure relates to the field of computer technologies, and in particular, to an information processing method and apparatus, an electronic device, and a storage medium.

Background

With the wide use of smart devices, more and more applications (apps) come into play, such as some social applications, news media applications, and so on.

When a user browses an interested material text in a certain website or application program, the user can select to open the material text, the article content corresponding to the material text possibly exists in another website or application program, and at the moment, the user needs to download the application program capable of viewing the article content by clicking a link corresponding to the material text.

Disclosure of Invention

In view of the above, the present disclosure provides at least one information processing scheme to improve the information acquisition efficiency.

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

responding to a client triggering instruction, and acquiring a channel material text of the client; the channel material text comprises a material text corresponding to a downloading channel of the client or a material text corresponding to a triggering channel of the client;

sending a triggering request carrying the channel material text to a server;

and after target recommendation information which is sent by the server and determined based on the channel material text is received, displaying the target recommendation information in the client.

In one embodiment, the presenting the target recommendation information in the client includes:

displaying the target recommendation information in a pop-up window mode; alternatively, the first and second electrodes may be,

and displaying the target recommendation information in a search area of the client.

In an embodiment, when the target recommendation information includes a plurality of target recommendation information, and a plurality of target recommendation information correspond to different attribute categories, the presenting the target recommendation information includes:

and displaying the target recommendation information in a classified manner.

In one possible implementation, the information processing method further includes:

and if the channel material text of the client is not acquired, sending a trigger request indicating that the channel material text is empty to the server.

In a second aspect, an embodiment of the present disclosure provides an information processing method, including:

when a trigger request sent by a client is received, determining whether the trigger request carries a channel material text, wherein the channel material text comprises a material text corresponding to a download channel of the client or a material text corresponding to a trigger channel of the client;

if the triggering request is determined to carry the channel material text, determining target recommendation information to be displayed at the client based on the channel material text;

and sending the target recommendation information to the client.

In a possible implementation manner, the determining, based on the channel material text, target recommendation information to be presented at the client includes:

performing word segmentation processing on the channel material text to obtain a plurality of word units;

generating at least one candidate search information based on the plurality of word units;

determining the target recommendation information based on the at least one candidate search information.

In a possible implementation manner, the performing word segmentation processing on the channel material text to obtain a plurality of word units includes:

performing word segmentation on the channel material text, and filtering stop words in word units after word segmentation to obtain a plurality of first word units;

judging whether a plurality of first word units capable of being combined into a word meaning exist in the plurality of first word units;

if a plurality of first word units capable of being combined into a word meaning exist, the plurality of first word units are associated and combined to obtain at least one second word unit, and the at least one second word unit and the first word units which are not combined form the plurality of word units.

In one possible embodiment, the generating at least one candidate search information based on the plurality of word units includes:

and extracting word units with the number not more than the set number from the plurality of word units according to the set sequence to generate the at least one candidate search information.

In a possible embodiment, the determining the target recommendation information based on the at least one candidate search information includes:

acquiring historical search times corresponding to the at least one candidate search information;

and performing descending sorting on the at least one candidate search information based on the historical search times, and taking the candidate search information with a set number before sorting as the target recommendation information.

acquiring the number of search results corresponding to the at least one candidate search information;

and based on the number of the search results, performing descending sorting on the at least one candidate search information, and taking the candidate search information with a set number before sorting as the target recommendation information.

In a possible implementation manner, the channel material text further includes channel identification information, and if the candidate search information includes a plurality of candidate search information, the determining the target recommendation information based on the at least one candidate search information includes:

and selecting candidate search information matched with the attribute category corresponding to the channel identification information from the candidate search information as the target recommendation information.

In a possible implementation manner, if the target recommendation information includes a plurality of pieces, the information processing method further includes:

determining an attribute category corresponding to each target recommendation information;

sending the target recommendation information to the client, including:

and sending the target recommendation information and the attribute category of the target recommendation information to the client.

if the triggering request does not carry the channel material text, judging whether the triggering request is a first login request of the client;

if the trigger request is a first login request of the client, determining the target recommendation information based on current hotspot information;

and if the triggering request is not the first login request of the client, determining the target recommendation information based on the historical search record of the client and the current hotspot information.

In a third aspect, an embodiment of the present disclosure provides an information processing apparatus, including:

the acquisition module is used for responding to a client triggering instruction and acquiring a channel material text of the client; the channel material text comprises a material text corresponding to a downloading channel of the client or a material text corresponding to a triggering channel of the client;

the sending module is used for sending a triggering request carrying the channel material text to a server;

and the display module is used for displaying the target recommendation information in the client after receiving the target recommendation information which is sent by the server and determined based on the channel material text.

In one embodiment, the presentation module, when configured to present the target recommendation information in the client, comprises:

In an embodiment, when the target recommendation information includes a plurality of target recommendation information, and the plurality of target recommendation information correspond to different attribute categories, the display module, when configured to display the target recommendation information, includes:

and displaying the target recommendation information in a classified manner.

In a possible implementation, the sending module is further configured to:

In a fourth aspect, an embodiment of the present disclosure provides an information processing apparatus including:

the system comprises a receiving module and a triggering module, wherein the receiving module is used for determining whether a channel material text is carried in a triggering request sent by a client, and the channel material text comprises a material text corresponding to a downloading channel of the client or a material text corresponding to a triggering channel of the client;

the determining module is used for determining target recommendation information to be displayed at the client based on the channel material text if the triggering request is determined to carry the channel material text;

and the sending module is used for sending the target recommendation information to the client.

In a possible embodiment, the determining module, when configured to determine the target recommendation information to be presented at the client based on the channel material text, includes:

In a possible implementation manner, when the determining module is configured to perform word segmentation processing on the channel material text to obtain a plurality of word units, the determining module includes:

In one possible embodiment, the determining module, when configured to generate at least one candidate search information based on the plurality of word units, includes:

In a possible implementation, the determining module, when configured to determine the target recommendation information based on the at least one candidate search information, includes:

In a possible implementation manner, the channel material text further includes channel identification information, and if the candidate search information includes a plurality of candidate search information, the determining module, when configured to determine the target recommendation information based on the at least one candidate search information, includes:

In a possible implementation manner, if the target recommendation information includes a plurality of target recommendation information, the determining module is further configured to:

when the sending module is used for sending the target recommendation information to the client, the sending module includes:

In a possible implementation, the determining module is further configured to:

In a fifth aspect, an embodiment of the present disclosure provides an electronic device, including: a processor, a storage medium and a bus, wherein the storage medium stores machine-readable instructions executable by the processor, when the electronic device runs, the processor communicates with the storage medium through the bus, and the processor executes the machine-readable instructions to execute the steps of the information processing method according to the first aspect or the second aspect.

In a sixth aspect, the disclosed embodiments provide a computer-readable storage medium, which stores thereon a computer program, which, when executed by a processor, performs the steps of the information processing method according to the first or second aspect.

The information processing method provided by the embodiment of the disclosure can acquire a channel material text of a client when a client triggering instruction is received, where the channel material text can be a material text corresponding to a downloading channel of the client, and can also be a material text corresponding to a triggering channel of the client, for example, when a user browses a webpage in other channels, a link associated with a certain material text a in the webpage is triggered, and then the client can be downloaded, where the material text a is a material text corresponding to a downloading channel of the client; for another example, when a user browses a web page in another channel, after triggering a link associated with a certain material text B in the web page, the user may request to open the client, where the material text B may be a material text corresponding to a triggering channel of the client. The method comprises the steps that whether a client side which downloads through a trigger downloading channel or a client side which opens through the trigger channel is adopted, the client side can obtain a channel material text which is downloaded or opened through the trigger, so that the channel material text is sent to a server when a client side trigger instruction is received, the server can determine corresponding target recommendation information based on the channel material text, and after the client side receives the target recommendation information, the target recommendation information can be displayed in the client side, so that information related to the channel material text can be displayed, a user does not need to manually input search keywords corresponding to the channel material text in the client side, and accordingly information obtaining efficiency is improved.

Drawings

To more clearly illustrate the technical solutions of the embodiments of the present disclosure, the drawings that are required to be used in the embodiments will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present disclosure and therefore should not be considered as limiting the scope, and for those skilled in the art, other related drawings may be obtained from the drawings without inventive effort.

Fig. 1 shows a flowchart of an information processing method provided by an embodiment of the present disclosure;

FIG. 2 is a flowchart illustrating a searching method based on target recommendation information according to an embodiment of the present disclosure;

FIG. 3a is a schematic diagram of a search page showing target recommendation information according to an embodiment of the present disclosure;

FIG. 3b is a schematic diagram of a navigation page containing target recommendation information according to an embodiment of the present disclosure;

FIG. 3c is a schematic diagram illustrating a material text result page related to channel material texts according to an embodiment of the present disclosure;

FIG. 4 is a flow chart illustrating another information processing method provided by the embodiment of the disclosure;

FIG. 5 is a flowchart illustrating a method for determining target recommendation information according to an embodiment of the present disclosure;

fig. 6 is a schematic structural diagram of an information processing apparatus provided in an embodiment of the present disclosure;

fig. 7 is a schematic structural diagram of another information processing apparatus provided in the embodiment of the present disclosure;

fig. 8 is a schematic structural diagram of an electronic device provided by an embodiment of the present disclosure;

fig. 9 shows a schematic structural diagram of another electronic device provided in the embodiment of the present disclosure.

Detailed Description

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 clearly and completely described below with reference to the drawings in the embodiments of the present disclosure, and it should be understood that the drawings in the present disclosure are for illustrative and descriptive purposes only and are not used to limit the scope of the present disclosure. Additionally, it should be understood that the schematic drawings are not necessarily drawn to scale. The flowcharts used in this disclosure illustrate operations implemented according to some embodiments of the present disclosure. It should be understood that the operations of the flow diagrams may be performed out of order, and steps without logical context may be performed in reverse order or simultaneously. In addition, one skilled in the art, under the direction of the present disclosure, may add one or more other operations to the flowchart, and may remove one or more operations from the flowchart.

In addition, the described embodiments are only a few embodiments of the present disclosure, not all embodiments. The components of the embodiments of the present disclosure, generally described and illustrated in the figures herein, can be arranged and designed in a wide variety of different configurations. Thus, the following detailed description of the embodiments of the present disclosure, presented in the figures, is not intended to limit the scope of the claimed disclosure, but is merely representative of selected embodiments of the disclosure. All other embodiments, which can be derived by a person skilled in the art from the embodiments of the disclosure without making creative efforts, shall fall within the protection scope of the disclosure.

Currently, for a target application program, a user may download the target application program in a dedicated application program store, and may directly open the target application program in a user terminal for use after downloading, but when the user browses a web page of another channel and browses a material text of interest of the user, if the material text needs to be opened in the target application program, if the user terminal does not install the target application program, the user may be prompted whether to download and install the target application program, if the user terminal already installs the target application program, the user may be prompted whether to open the target application program, at this time, after the user downloads and installs the target application program through the material text or directly opens the target application program, after opening the target application program, the user needs to manually input the material text in a search area of the target application program to further obtain information content of interest of the user, the information acquisition efficiency of the method is low, and the user experience is reduced. An information processing method is provided in conjunction with the following embodiments to solve the above problems.

As shown in fig. 1, an information processing method provided for the embodiment of the present disclosure may be applied to a client, and the information processing method includes the following specific steps S101 to S103:

s101, responding to a client triggering instruction, and acquiring a channel material text of a client; the channel material text comprises a material text corresponding to a downloading channel of the client side or a material text corresponding to a triggering channel of the client side.

The Client (Client) or called user side herein refers to a program corresponding to the server and providing local services for the Client, and is generally installed on a common Client, and needs to cooperate with the server to run, for example, some application apps.

When a user browses a webpage through other channels in a user terminal and browses an interested material text, if further inquiry of the material text needs to be checked through the client, after the user clicks the material text, if the user terminal is determined not to be provided with the client, a download link prompting the user to download the client can be displayed, the download link can contain channel identification information corresponding to the webpage browsed by the user and the material text, after the user further clicks the download link, a request for acquiring an installation package of the client can be sent to a cloud server corresponding to the client, after receiving the request, the cloud server can compress the channel identification information, the material text and the installation package of the client and then send the compressed information to the user terminal, and after the user terminal downloads and installs the client, the client can store the material text, and recording the material text stored under the condition as the material text corresponding to the downloading channel of the client.

Or, when the user browses a webpage through other channels in the user terminal and browses an interested material text, if further reference of the material text needs to be checked through the client, after the user clicks the material text, if the client is determined to be installed in the user terminal, an open link prompting the user to open the client can be displayed, channel identification information and the material text corresponding to the webpage browsed by the user can be acquired in the open link, after the user further clicks the open link, the client can store the material text and the channel identification information through the open link, and the material text stored under the condition is recorded as the material text corresponding to the trigger channel of the client.

In particular, in response to a request for opening the client triggered by the material text, when an open link associated with the material text is clicked, a client trigger instruction is triggered at the same time.

Here, the client triggering instruction may be an instruction for requesting the client to establish a data connection with the server, and in this case, it may be considered that the client and the server are not established by default before the client triggering instruction is received, and the client triggering instruction is received to request the server to establish a data connection; or the client triggering instruction may be an instruction for triggering the client to open, in this case, it may be considered that the client and the server may maintain connection before the client triggering instruction is received, and at this time, after the client triggering instruction is received, the server is requested to refresh the recommendation information based on the channel material text.

And S102, sending a trigger request carrying a channel material text to a server.

The sending of the trigger request carrying the channel material text to the server refers to a situation that the channel material text of the client can be acquired after receiving a client trigger instruction, and may include a situation that a user directly triggers to open the client by clicking the channel material text in a webpage when browsing the webpage in other channels, or a situation that a user directly triggers to open the client by clicking the channel material text in the webpage and downloads the client after downloading the client.

Specifically, when the client triggering instruction is a client login instruction, the triggering request may be a login request sent to a server; when the client triggering instruction is a client opening instruction (the default condition is that the client is connected with the server), the triggering request can be to send a refreshing request to the server, so that the client can send the acquired channel material text of the client to the server after receiving the client triggering instruction, and request to log in the server or request the server to refresh recommendation information based on the channel material text.

After receiving the trigger request, the server may obtain a channel material text carried in the trigger request, then may determine target recommendation information associated with the channel material text based on the channel material text, and send the target recommendation information to the client, where a determination process of the target recommendation information will be described in detail in the following embodiments.

In particular, the channel material text may further include channel identification information, where the channel identification information may be a preset identification code of a channel for downloading the client or opening the client, and for example, includes three preset channels, channel a, channel B and channel C, channel a may be identified by 001, channel B by 002, and channel C by 003, here, the channel identification information is sent to the server, so that the server side determines the attribute category corresponding to the channel triggering the client to open based on the channel identification information, or triggering the attribute category corresponding to the channel downloaded by the client, wherein the attribute category refers to the webpage category to which the channel belongs, the attribute category may be preset, and may include, for example, a search category, a shopping category, and the like, and the role of the channel attribute category will be described in detail later.

S103, after target recommendation information which is sent by the server and determined based on the channel material text is received, the target recommendation information is displayed in the client.

After receiving target recommendation information determined based on the channel material text and sent by the server, the target recommendation information can be displayed in the client, and because the target recommendation information is related to the channel material text, a user can further check information related to the channel material text by searching the target recommendation information without manually inputting search keywords corresponding to the channel material text at the client, so that the information acquisition efficiency is improved.

The target recommendation information can be keyword information for information search, and when the target recommendation information is triggered by a user, information related to the channel material text can be found.

The target recommendation information sent by the server may include one or more than one, and when the target recommendation information includes a plurality of target recommendation information, after receiving the target recommendation information, the client may present the target recommendation information in the following ways:

(1) displaying target recommendation information in a pop-up window mode;

(2) and displaying the target recommendation information in a search area of the client.

For the first situation, after receiving the target recommendation information, the client can display the target recommendation information in a popup mode, namely after receiving the target recommendation information, the client displays the popup and then displays the target recommendation information on the popup; for the second case, after receiving the target recommendation information, the client may display the target recommendation information in the search area of the client.

Particularly, when the target recommendation information includes a plurality of target recommendation information, the plurality of target recommendation information may be displayed in a pop-up frame manner, and the user may continue to select any one of the plurality of target recommendation information displayed in the pop-up frame, that is, may acquire information related to the channel material text.

Alternatively, when the target recommendation information includes a plurality of target recommendation information, the plurality of target recommendation information may be presented through the search area, and in order to distinguish different target recommendation information, the plurality of target recommendation information presented in the search area are separated by a separator.

Particularly, when the target recommendation information includes a plurality of target recommendation information corresponding to different attribute categories, the target recommendation information may be displayed in a classified manner when the target recommendation information is displayed, for example, when the target recommendation information is displayed in a pop-up window manner, corresponding areas may be divided on the pop-up window according to the number of the attribute categories, for example, when the target recommendation information includes 4 target recommendation information, where 2 attribute categories corresponding to the target recommendation information are shopping categories, and another 2 attribute categories corresponding to the target recommendation information are search categories, two areas are divided on the pop-up window, 2 target recommendation information of the shopping categories are displayed in one area, and 2 target recommendation information of the search categories are displayed in the other area.

Similarly, when the target recommendation information of a plurality of different attribute categories is displayed through the search area, corresponding areas can be divided on the search area according to the number of the attribute categories, for example, when the target recommendation information comprises 4 target recommendation information, wherein 2 attribute categories corresponding to the target recommendation information are shopping categories, and the other 2 attribute categories corresponding to the target recommendation information are search categories, two areas are divided on the search area, and 2 target recommendation information of the shopping categories are displayed in one area, and the target recommendation information of the two shopping categories is separated by a separator; the other area displays 2 pieces of target recommendation information of the search category, and the target recommendation information of the two search categories are also separated by separators.

After the client displays the target recommendation information, the user can click the target recommendation information, so as to further view the content related to the channel material text, as shown in fig. 2, the information processing method provided by the embodiment of the disclosure further includes the following steps S201 to S202:

s201, responding to the search instruction aiming at the target recommendation information, and sending the search instruction containing the target recommendation information to the server.

For example, after the user clicks the target recommendation information, the client can receive a search instruction for the target recommendation information, so that the client can send the search instruction containing the target recommendation information to the server and request the server to send a search result containing the target recommendation information.

S202, after receiving the search result which is sent by the server and found based on the target recommendation information, displaying the search result.

The search result can be a navigation page containing target recommendation information, and the user can continue to trigger the target recommendation information in the navigation page, so as to further request a server for a material text associated with the target recommendation information, that is, the user can conveniently find information related to the channel material text.

The above process is explained in the following with a specific embodiment, and the schematic diagram in this specific embodiment is only schematic and does not represent a real cell phone interface diagram:

aiming at a client A of a certain news media class, when a user browses a channel material text in other webpages through a user terminal, such as a mobile phone, how to effectively clean mobile phone garbage and improve the running speed of the mobile phone, if the user is interested in the channel material text, the user can click the channel material text to further know the method for cleaning the garbage of the mobile phone, if the user does not install the client A in the mobile phone, after clicking the channel material text, a prompt whether to download the client A is presented, after clicking to start downloading, the user downloads the client A, after finishing downloading and installing, the user triggers to open the client A, the client A can effectively clean the channel material text, how to effectively clean the mobile phone garbage is improved, so that the running speed of the mobile phone is improved, and the server determines target recommendation information related to the channel material text based on the channel material text, then, the target recommendation information is sent to the client a, and then the client a can display the target recommendation information, for example, the target recommendation information determined by the server is a method for cleaning up garbage by a mobile phone, when the client a is opened, the target recommendation information can be displayed in the search area shown in fig. 3a, after the user clicks the target recommendation information, the navigation page containing the target recommendation information shown in fig. 3b can be displayed, the user can further request the server for a material text associated with the target recommendation information in the navigation page, that is, the user can conveniently find information associated with a channel material text, that is, information associated with how to effectively clean up the garbage by the mobile phone shown in fig. 3c is obtained, so that the operation speed of the mobile phone is improved.

According to the information processing method provided by the embodiment of the disclosure, after the triggering instruction of the client is responded, if the channel material text of the client is not obtained, a triggering request indicating that the channel material text is empty is sent to the server.

In this case, the possible reason is that the user does not open the client that is opened after browsing the channel material text in another channel, but directly opens the client that is installed in advance from the user terminal, in this case, the client does not store the channel material text, at this time, the client sends a trigger request indicating that the channel material text is empty to the server, and after receiving the request, the server may determine the target recommendation information based on the current hotspot information of the client, or determine the target recommendation information based on the history search record of the client and the current hotspot information, thereby sending the target recommendation information to the client, in which case, the process of determining the target recommendation information by the server will be introduced in the following text.

In summary, according to the information processing method provided in the embodiment of the present disclosure, after receiving a client trigger instruction, a client may first determine whether a channel material text of the client can be obtained, and if the channel material text is included, send a trigger request carrying the channel material text to a server, so that the server can determine target recommendation information corresponding to the client based on the channel material text, and if the channel material text is not included, send a trigger request indicating that the channel material text is empty to the server, and at this time, receive other target recommendation information sent by the server.

As shown in fig. 4, an embodiment of the present disclosure also provides an information processing method, which may be applied to a server, and the information processing method includes the following steps S401 to S403:

s401, when a trigger request sent by a client is received, determining whether the trigger request carries a channel material text, wherein the channel material text comprises a material text corresponding to a download channel of the client or a material text corresponding to a trigger channel of the client.

The channel material text is already introduced above and will not be described in detail here.

S402, if the triggering request is determined to carry the channel material text, target recommendation information to be displayed at the client side is determined based on the channel material text.

After the channel material text is obtained, the channel material text may include a plurality of words, and here, target recommendation information associated with the channel material text is determined based on the plurality of words.

And S403, sending the target recommendation information to the client.

The page information carrying the target recommendation information can be sent to the client, and the user can further check the information associated with the channel material text by searching the target recommendation information without manually inputting the channel material text at the client, so that the information acquisition efficiency is improved.

For the step S402, after determining that the triggering request carries the channel material text, target recommendation information may be obtained based on the channel material text, where the target recommendation information may be keyword information for performing information search, for example, a keyword may be intercepted from the channel material text to obtain keyword information capable of representing the meaning of the channel material text, and the target recommendation information to be displayed at the client is determined based on the channel material text, as shown in fig. 5, the method includes:

s501, performing word segmentation processing on the channel material text to obtain a plurality of word units.

The channel material text can be segmented based on the common word dictionary, and a plurality of word units can be obtained.

Specifically, in the process of performing word segmentation processing on the channel material text to obtain a plurality of word units, the method may include:

(1) performing word segmentation on the channel material text, and filtering stop words in word units after word segmentation to obtain a plurality of first word units;

(2) judging whether a plurality of first word units capable of being combined into a word meaning exist in the plurality of first word units;

(3) if a plurality of first word units capable of being combined into a word meaning exist, the plurality of first word units are combined in an associated manner to obtain at least one second word unit, wherein the at least one second word unit and the first word units which are not combined form the plurality of word units, and the plurality of word units can be used for generating at least one candidate search information at a later stage.

For example, aiming at the channel material text introduced above, how to effectively clean the mobile phone garbage and improve the mobile phone running speed, the method is obtained after word segmentation: "how", "effectively", "cleaning", "handset", "garbage", "", "causing", "running", "speed", "increasing", then the stop words without actual meaning ("," how "," causing ") can be filtered, resulting in the first word unit: "effective", "cleaning", "handset", "garbage", "running", "speed" and "enhanced".

After segmenting words of channel material texts through a common word dictionary and filtering stop words, some first word units commonly appear in a large amount of linguistic data, and the first word units can be considered as first word units capable of being combined into the same word meaning, for example, in the field of mobile phones, running and speed are commonly appeared in a plurality of linguistic data, so that the running and the speed can be combined into running speed, namely, the running and the speed of the first word units are combined into a second word unit.

And combining the first word units which can be combined into the same word meaning to obtain a plurality of word units, and then continuously determining the target recommended word information according to the word units.

S502, generating at least one candidate search information based on the plurality of word units.

Specifically, after a plurality of word units are obtained according to the above steps, at least one candidate search information is generated according to the plurality of word units.

Specifically, generating at least one candidate search information based on the plurality of word units may include:

and extracting word units with the number not more than the set number from the plurality of word units according to the set sequence to generate at least one piece of candidate search information.

In general, since the target recommended word information is generally displayed in the search area of the client, in order to facilitate the user to visually see the complete information, word units included in the target recommended word information are generally formed by word units with a set number or less, for example, words that include 5 word units or words that are smaller than 5 word units may be included.

If 20 word units are obtained after word segmentation is performed on a certain channel material text, word units with the number not exceeding a set number can be extracted from the 20 word units, and the semantics of the obtained candidate search information expression may be different in consideration of different arrangement orders of the word units, where in the extraction, the extraction order is considered, for example, for three word units: A. and B and C, based on different extraction sequences, obtaining six candidate search information, namely ABC, ACB, BAC, BCA, CAB and CBA.

S503, determining target recommendation information based on at least one candidate search information.

After the candidate search information is obtained, since the candidate search information may include a plurality of candidate search information, further, the target recommendation information needs to be selected from the plurality of candidate search information.

In one embodiment, when determining the target recommendation information based on at least one candidate search information, the target recommendation information may be determined in a first manner as follows:

(1) acquiring historical search times corresponding to at least one candidate search information;

(2) and performing descending sorting on the at least one candidate search information based on the historical search times corresponding to the at least one candidate search information, and taking the candidate search information with the set number before sorting as target recommendation information.

Specifically, here, the historical search times corresponding to each candidate search information in the at least one candidate search information are obtained, and then the at least one candidate search information is sorted in a descending order according to the historical search times corresponding to each candidate search information.

Each candidate search information may be searched by the user as a search word, that is, each time a search instruction including the candidate search information sent by the client is received, the server may store the search instruction, so that the historical search frequency corresponding to each candidate search information may be obtained, or the historical search frequency corresponding to each candidate search information may be counted within a certain time period.

Then, according to the historical search times corresponding to each candidate search information, the candidate search information can be subjected to reverse-narrative sorting, namely the candidate search information with the highest historical search times is ranked first, and then the candidate search information with the set number before sorting is taken as the target recommendation information.

In another embodiment, when determining the target recommendation information based on at least one candidate search information, the target recommendation information may be determined in a second manner as follows:

(1) obtaining the number of search results corresponding to at least one candidate search information;

(2) and performing descending sorting on the at least one candidate search information based on the number of search results corresponding to the at least one candidate search information, and taking the candidate search information with the set number before sorting as target recommendation information.

Specifically, the number of search results corresponding to each candidate search information in the at least one candidate search information is obtained, and then the at least one candidate search information is sorted in a descending order according to the number of search results corresponding to each candidate search information.

When the target recommendation information is determined according to the method, the number of search results corresponding to each candidate search information may be determined, where the number of search results for any candidate search information may be the number of material texts obtained by using any candidate search information as a search word in a history search record, for example, the candidate search information includes candidate search information a, candidate search information B, and candidate search information C, if the number of material texts corresponding to the candidate search information a is 100, the number of material texts corresponding to the candidate search information B is 15, and the number of material texts corresponding to the candidate search information C is 1, the number of search results corresponding to the candidate search information a is 100, the number of search results corresponding to the candidate search information B is 15, and the number of search results corresponding to the candidate search information C is 1.

And then, according to the number of search results corresponding to each candidate search information, the candidate search information can be subjected to reverse-narrative sorting, namely the candidate search information with the highest historical search frequency is ranked first, and then the candidate search information with the set number before sorting is taken as the target recommendation information.

The method for determining the target recommendation information is determined based on a channel material text, after the channel material text is subjected to word segmentation processing, a plurality of candidate search information are formed, and then the target recommendation information is determined based on the candidate search information, so that the target recommendation information with high accuracy can be obtained by combining historical search conditions, channel material texts browsed by a user in other channels can be finally found based on the target recommendation information, the channel material text is not required to be manually input by the user at a client side in the process, and the information acquisition efficiency is improved.

The first method and the second method may be used separately to determine the target recommendation information, and when a plurality of candidate search information sets in the set number before the ranking are included, the target recommendation information may also be determined by combining the candidate search information sets, and when the candidate search information sets in the set number before the ranking are used in combination, the order of the first method and the second method is not limited, for example, after the candidate search information sets are ranked based on the number of search times, a plurality of candidate search information sets are selected, then the candidate search information sets are ranked according to the number of search results corresponding to each candidate search information set, then the number of candidate search information sets is further reduced, and the target recommendation information is finally determined, and vice versa, which is not described herein again.

In another embodiment, the channel material text further includes channel identification information, and if the candidate search information includes a plurality of candidate search information, when determining the target recommendation information based on at least one candidate search information, the target recommendation information may be determined in a third manner as follows:

and selecting candidate search information matched with the attribute category corresponding to the channel identification information from the plurality of candidate search information as target recommendation information.

The attribute category, that is, the category of the web page to which the channel introduced above belongs, may include, for example, a shopping category, a search category, and the like, where the channel identification information may be the preset identification code for downloading the channel corresponding to the client mentioned above, or the preset identification code corresponding to the trigger channel of the client, and the server may store the attribute category corresponding to each type of channel identification information, for example, the attribute categories corresponding to the preset identification codes 001 and 002 are shopping categories, and the attribute categories corresponding to the preset identification codes 003 and 004 are search categories.

Here, the attribute category corresponding to each candidate search information is labeled in advance, and may be determined by the attribute category of the search result corresponding to the candidate search information when the candidate search information is used as a search word in the history search record, and the attribute category with the largest number of search results is used as the attribute category corresponding to the candidate search information.

For example, if the plurality of candidate search information includes 5 candidate search information, wherein the attribute categories of the 1 st and 2 nd candidate search information are search categories, the attribute categories of the 3 rd to 5 th candidate search information are shopping categories, and if the attribute category corresponding to the channel identification information included in the channel material text is also a search attribute category, the target recommendation information here is the 1 st candidate search information and the 2 nd candidate search information.

In particular, the third method for determining the target recommendation information may be used in combination with the first method or the second method for determining the target recommendation information, or may be used in combination with the first method and the second method, for example, when the candidate search information is sorted in a descending order and a set number of candidate search information before sorting is used as the target recommendation information, and if a plurality of candidate search information before sorting is included, the candidate search information matching the attribute type corresponding to the channel identification information may be selected from the set number of candidate search information before sorting as the target recommendation information.

For example, for a case where the third method for determining the target recommendation information is used in combination with the first method for determining the target recommendation information, if at least one candidate search information is ranked based on the corresponding historical search times, and if the set number of candidate search information before ranking includes 5 candidate search information, the attribute categories of the 1 st and 2 nd candidate search information are search categories, and the attribute categories of the 3 rd to 5 th candidate search information are shopping categories, and if the attribute categories corresponding to the channel identification information in the channel material text are also search attribute categories, the target recommendation information here is the 1 st candidate search information and the 2 nd candidate search information.

In addition, for the case that the third method for determining the target recommendation information is used in combination with the second method for determining the target recommendation information, if at least one candidate search information is sorted in a descending order based on the number of the corresponding search results, and if the set number of candidate search information before the sorting includes 5 candidate search information, the attribute categories of the 1 st and 2 nd candidate search information are search categories, the attribute categories of the 3 rd to 5 th candidate search information are shopping categories, and if the attribute categories corresponding to the channel identification information included in the channel material text are also search categories, the target recommendation information therein is the 1 st candidate search information and the 2 nd candidate search information.

In addition, for the case that the three ways of determining the target recommendation information are used in combination, the target recommendation information may be determined by firstly sorting based on the number of searches, then selecting a plurality of candidate search information, then sorting the plurality of candidate search information according to the number of search results corresponding to each candidate search information, then further reducing the number of candidate search information, and further reducing the number of candidate search information based on the attribute category corresponding to the channel identification information and the attribute category corresponding to the candidate search information after the range is reduced.

The channel identification information is taken into account, and the target recommendation information is determined through the attribute category corresponding to the channel identification information and the attribute category corresponding to each candidate recommendation information, so that more accurate target recommendation information can be obtained, and the user can conveniently and quickly obtain the content related to the channel material text.

When the target recommendation information is obtained in the above manner, and the target recommendation information is sent to the client, and after the client displays the target recommendation information, if a search instruction for the target recommendation information is received, which is triggered by a user, the search instruction can be sent to the server, so that the information processing method provided by the embodiment of the present disclosure further includes:

and when a search instruction aiming at the target recommendation information sent by the client is received, sending a search result corresponding to the target recommendation information to the client for displaying.

The search result may be a navigation page containing the target recommendation information, and the user may continue to trigger the target recommendation information in the navigation page, so as to further request the server for the material text associated with the target recommendation information, that is, the user may conveniently find the information related to the channel material text.

For the above-mentioned case that the target recommendation information includes a plurality of target recommendation information, and when the plurality of target recommendation information correspond to different attribute categories, the client performs classified display when displaying the plurality of target recommendation information, where the attribute category of each target recommendation information may be determined by the server, specifically as follows:

and determining the attribute category corresponding to each piece of target recommendation information, and then sending the target recommendation information and the attribute category of the target recommendation information to the client.

Here, the attribute category corresponding to the target recommendation information may be determined according to the attribute category of the search result corresponding to the target recommendation information as the search term, which is similar to the above-described manner of determining the attribute category corresponding to the candidate search information and is not described herein again.

Of course, when the attribute type of the target recommendation information is sent to the client, the display mode corresponding to the client may also be sent to the client at the same time, so that the client displays the target recommendation information of a plurality of different attribute types according to the display mode, which is not described herein again.

In the above, in response to the client trigger instruction, if the channel material text of the client is not obtained, the client may send a trigger request indicating that the channel material text is empty to the server, and therefore, the information processing method provided in the embodiment of the present disclosure further includes:

(1) if the triggering request does not carry the channel material text, judging whether the triggering request is a first login request of the client;

(2) if the trigger request is a first login request of the client, determining target recommendation information based on the current hotspot information;

(3) and if the trigger request is not the first login request of the client, determining target recommendation information based on the historical search record and the current hotspot information of the client.

The trigger request may further include a client identifier, when the server determines that the trigger request does not carry a channel material text, it may be determined whether the trigger request is a first login request of the client based on the client identifier, and if the trigger request is the first login request of the client, it indicates that the client has not logged in before, that is, a history search record of the client is not saved.

If the trigger request is not the first login request of the client, the historical search record corresponding to the client may be searched based on the client identifier, the material type interested by the client is extracted based on the historical search record, for example, the historical search record of the user is classified based on different material types, then the material type with the highest number of the classified corresponding historical search records is used as the material type interested by the client, then the recommended word corresponding to the current hotspot information of the material type same as the material type may be further extracted as the target recommendation information, and of course, if the target recommendation information obtained here is not unique, at least one piece of target recommendation information may also be randomly sent to the client.

And for the condition that the channel material text of the client is not acquired, the target recommendation information can be sent to the client, so that the information acquisition efficiency is improved.

Based on the same technical concept, an information processing apparatus corresponding to the information processing method is also provided in the embodiments of the present disclosure, and because the principle of the apparatus in the embodiments of the present disclosure for solving the problem is similar to the information processing method described above in the embodiments of the present disclosure, the implementation of the apparatus may refer to the implementation of the method, and repeated details are not described again.

Referring to fig. 6, a schematic diagram of an information processing apparatus 600 provided in an embodiment of the present disclosure, where the information processing apparatus 600 may be applied to a client, specifically, the information processing apparatus 600 includes: an acquisition module 601, a sending module 602, and a presentation module 603.

The acquisition module 601 is used for responding to a client triggering instruction and acquiring a channel material text of a client; the channel material text comprises a material text corresponding to a downloading channel of the client or a material text corresponding to a triggering channel of the client;

a sending module 602, configured to send a trigger request carrying a channel material text to a server;

the display module 603 is configured to display the target recommendation information in the client after receiving the target recommendation information determined based on the channel material text and sent by the server.

In one possible implementation, the presentation module 603, when configured to present the target recommendation information in the client, includes:

displaying target recommendation information in a pop-up window mode; alternatively, the first and second electrodes may be,

In a possible implementation manner, when the target recommendation information includes a plurality of target recommendation information, and the plurality of target recommendation information correspond to different attribute categories, the presentation module 603, when configured to present the target recommendation information, includes:

and classifying and displaying the target recommendation information.

In a possible implementation, the sending module 602 is further configured to:

responding to a search instruction aiming at the target recommendation information, and sending the search instruction containing the target recommendation information to a server;

the display module 603 is further configured to display the search result after receiving the search result sent by the server and found based on the target recommendation information.

In a possible implementation, the sending module 602 is further configured to:

As shown in fig. 7, an embodiment of the present disclosure also provides an information processing apparatus 700 that may be applied to a server, where the information processing apparatus 700 includes:

the receiving module 701 is configured to determine whether a channel material text is carried in a trigger request when the trigger request sent by a client is received, where the channel material text includes a material text corresponding to a download channel of the client or a material text corresponding to a trigger channel of the client;

a determining module 702, configured to determine, based on a channel material text, target recommendation information to be displayed at a client if it is determined that the trigger request carries the channel material text;

a sending module 703, configured to send the target recommendation information to the client.

In one possible implementation, the determining module 702 when configured to determine the target recommendation information to be presented at the client based on the channel material text includes:

and determining target recommendation information based on the at least one candidate search information.

In one possible implementation, the determining module 702, when configured to perform word segmentation processing on the channel material text to obtain a plurality of word units, includes:

if a plurality of first word units capable of being combined into a word meaning exist, the plurality of first word units are associated and combined to obtain at least one second word unit, and the at least one second word unit and the first word units which are not combined form a plurality of word units.

In one possible implementation, the determining module 702, when configured to generate at least one candidate search information based on a plurality of word units, includes:

In one possible implementation, the determining module 702, when configured to determine the target recommendation information based on at least one candidate search information, includes:

acquiring historical search times corresponding to at least one candidate search information;

and performing descending sorting on at least one candidate search information based on the historical search times, and taking the candidate search information with the set number before sorting as target recommendation information.

obtaining the number of search results corresponding to at least one candidate search information;

and based on the number of the search results, performing descending sorting on at least one candidate search information, and taking the candidate search information with the set number before sorting as target recommendation information.

In a possible implementation, the channel material text further includes channel identification information, and if the candidate search information includes a plurality of candidate search information, the determining module 702, when configured to determine the target recommendation information based on at least one candidate search information, includes:

In a possible implementation manner, if the target recommendation information includes a plurality of target recommendation information, the determining module 702 is further configured to:

the sending module 703, when configured to send the target recommendation information to the client, includes:

In a possible implementation, the sending module 703 is further configured to:

In one possible implementation, the determining module 702 is further configured to:

if the trigger request is a first login request of the client, determining target recommendation information based on the current hotspot information;

and if the trigger request is not the first login request of the client, determining target recommendation information based on the historical search record and the current hotspot information of the client.

The description of the processing flow of each module in the device and the interaction flow between the modules may refer to the related description in the above method embodiments, and will not be described in detail here.

An embodiment of the present disclosure further provides an electronic device, where the electronic device may be a client or a server, and when the electronic device is a client, as shown in fig. 8, a schematic structural diagram of an electronic device 800 provided in an embodiment of the present disclosure includes: a processor 801, a storage medium 802, and a bus 803. The storage medium 802 stores machine-readable instructions executable by the processor 801, the processor 801 communicating with the storage medium 802 via the bus 803 when the electronic device 800 is operating, the machine-readable instructions when executed by the processor 801 performing the following:

sending a triggering request carrying a channel material text to a server;

In a possible implementation manner, the instructions executed by the processor 801 further include:

In one possible embodiment, when the target recommendation information includes a plurality of target recommendation information, and the plurality of target recommendation information correspond to different attribute categories, the instructions executed by the processor 801 further include:

and classifying and displaying the target recommendation information.

and displaying the search result after receiving the search result which is sent by the server and found based on the target recommendation information.

When the electronic device is a client, as shown in fig. 9, a schematic structural diagram of an electronic device 900 provided in the embodiment of the present disclosure includes: a processor 901, a storage medium 902, and a bus 903. The storage medium 902 stores machine-readable instructions executable by the processor 901, the processor 901 and the storage medium 902 communicating via the bus 903 when the electronic device 900 is operating, the machine-readable instructions when executed by the processor 901 perform the following:

when a trigger request sent by a client is received, determining whether the trigger request carries a channel material text, wherein the channel material text comprises a material text corresponding to a downloading channel of the client or a material text corresponding to a trigger channel of the client;

and sending the target recommendation information to the client.

In a possible implementation, the instructions executed by the processor 901 include:

And selecting one candidate search information with the highest number of corresponding search results as target recommendation information.

In one possible embodiment, the channel material text further includes channel identification information, and if the candidate search information includes a plurality of candidate search information, the instructions executed by the processor 901 include:

In a possible implementation manner, if the target recommendation information includes a plurality of target recommendation information, the instructions executed by the processor 901 further include:

In a possible implementation manner, the instructions executed by the processor 901 further include:

The disclosed embodiment also provides a computer readable storage medium, on which a computer program is stored, and the computer program executes the steps of the information processing method when being executed by a processor.

Specifically, the storage medium can be a general-purpose storage medium, such as a removable disk, a hard disk, or the like, and when the computer program on the storage medium is executed, the information processing method can be executed, thereby improving the information acquisition efficiency.

It can be clearly understood by those skilled in the art that, for convenience and brevity of description, the specific working processes of the system and the apparatus described above may refer to corresponding processes in the method embodiments, and are not described in detail in this disclosure. In the several embodiments provided in the present disclosure, it should be understood that the disclosed system, apparatus, and method may be implemented in other ways. The above-described apparatus embodiments are merely illustrative, and for example, the division of the modules is merely a logical division, and there may be other divisions in actual implementation, and for example, a plurality of modules or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection of devices or modules through some communication interfaces, and may be in an electrical, mechanical or other form.

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

In addition, functional units in the embodiments of the present disclosure may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit.

The functions, if implemented in the form of software functional units and sold or used as a stand-alone product, may be stored in a non-volatile computer-readable storage medium executable by a processor. Based on such understanding, the technical solution of the present disclosure may be embodied in the form of a software product, which is stored in a storage medium and includes several instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present disclosure. And the aforementioned storage medium includes: various media capable of storing program codes, such as a U disk, a removable hard disk, a ROM, a RAM, a magnetic disk, or an optical disk.

The above are only specific embodiments of the present disclosure, but the scope of the present disclosure is not limited thereto, and any person skilled in the art can easily conceive of changes or substitutions within the technical scope of the present disclosure, and shall be covered by the scope of the present disclosure. Therefore, the protection scope of the present disclosure shall be subject to the protection scope of the claims.

Claims

1. An information processing method characterized by comprising:

sending a triggering request carrying the channel material text to a server;

2. The information processing method according to claim 1, wherein the presenting the target recommendation information in the client includes:

3. The information processing method according to claim 1 or 2, wherein the target recommendation information includes a plurality of target recommendation information, and when the plurality of target recommendation information correspond to different attribute categories, the presenting the target recommendation information includes:

and displaying the target recommendation information in a classified manner.

4. The information processing method according to claim 1, characterized by further comprising:

5. An information processing method characterized by comprising:

and sending the target recommendation information to the client.

6. The information processing method of claim 5, wherein the determining target recommendation information to be presented at the client based on the channel material text comprises:

7. The information processing method of claim 6, wherein the performing word segmentation on the channel material text to obtain a plurality of word units comprises:

8. The information processing method according to claim 6 or 7, wherein the generating at least one candidate search information based on the plurality of word units comprises:

9. The information processing method according to claim 6, wherein the determining the target recommendation information based on the at least one candidate search information includes:

10. The information processing method according to claim 6, wherein the determining the target recommendation information based on the at least one candidate search information includes:

11. The information processing method according to any one of claims 6, 9 and 10, wherein the channel material text further includes channel identification information, and if the candidate search information includes a plurality of candidate search information, the determining the target recommendation information based on the at least one candidate search information includes:

12. The information processing method according to claim 5, wherein if the target recommendation information includes a plurality of information, the information processing method further includes:

sending the target recommendation information to the client, including:

13. The information processing method according to claim 5, characterized by further comprising:

14. An information processing apparatus characterized by comprising:

15. An information processing apparatus characterized by comprising:

16. An electronic device, comprising: a processor, a storage medium and a bus, the storage medium storing machine-readable instructions executable by the processor, the processor and the storage medium communicating via the bus when the electronic device is operating, the processor executing the machine-readable instructions to perform the steps of the information processing method according to any one of claims 1 to 13.

17. A computer-readable storage medium, having stored thereon a computer program which, when being executed by a processor, carries out the steps of the information processing method according to any one of claims 1 to 13.