CN111177566B

CN111177566B - Information processing method, device, electronic equipment and storage medium

Info

Publication number: CN111177566B
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: 2023-06-23
Anticipated expiration: 2040-01-02
Also published as: CN111177566A

Abstract

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

Description

Information processing method, device, electronic equipment and storage medium

Technical Field

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

Background

With the widespread use of smart devices, more and more applications (apps) have grown, such as some social applications, news media applications, and the like.

When a user browses a material text of interest in a website or an application program, the material text is selected to be opened, and 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 this, 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, including:

responding to a client triggering instruction, and acquiring 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 trigger request carrying the channel material text to a server;

and after receiving target recommendation information which is sent by the server and is determined based on the channel material text, 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 popup window mode; or alternatively, the process may be performed,

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

In one embodiment, when the target recommendation information includes a plurality of target recommendation information and the plurality of target recommendation information corresponds to different attribute categories, the displaying the target recommendation information includes:

and carrying out classified display on the plurality of target recommendation information.

In one possible embodiment, 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 triggering request sent by a client is received, determining whether the triggering request carries channel material texts, wherein the channel material texts comprise material texts corresponding to downloading channels of the client or material texts corresponding to triggering channels of the client;

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

word segmentation processing is carried out 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;

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

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

performing word segmentation on the channel material text, and filtering stop words in word units subjected to 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 sense exist in the plurality of first word units;

if a plurality of first word units capable of being combined into one word meaning exist, the plurality of first word units are combined in a correlated mode 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 a possible implementation manner, the generating at least one candidate search information based on the word units includes:

and extracting word units not exceeding a set number from the plurality of word units according to a set sequence, and generating the at least one candidate search information.

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

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

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

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

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

In one possible embodiment, if the target recommendation information includes a plurality of target recommendation information, the information processing method further includes:

determining attribute categories corresponding to each piece of 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.

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

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 the first login request of the client, determining the target recommendation information based on the current hot spot information;

and if the trigger 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 hot spot 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 the client triggering instruction and acquiring 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 determined based on the channel material text and sent by the server.

In one embodiment, the display module, when used for displaying the target recommendation information in the client, includes:

In one embodiment, when the target recommendation information includes a plurality of target recommendation information and the plurality of target recommendation information corresponds to different attribute categories, the display module when used for displaying the target recommendation information includes:

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

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

the receiving module is used for determining whether a channel material text is carried in a trigger request sent by a client or not when the trigger request is received, 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;

the determining module is used for determining target recommendation information to be displayed on the client based on the channel material text if the trigger 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 implementation manner, the determining module, when configured to determine, based on the channel material text, target recommendation information to be presented at the client, includes:

In one possible implementation manner, the determining module, when used for performing word segmentation processing on the channel material text to obtain a plurality of word units, includes:

In one possible implementation, the determining module, when used for the generating of at least one candidate search information based on the plurality of word units, includes:

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

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

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

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

In a fifth aspect, embodiments of the present disclosure provide an electronic device, including: a processor, a storage medium storing machine-readable instructions executable by the processor, the processor and the storage medium communicating over a bus when the electronic device is running, the processor executing the machine-readable instructions to perform the steps of the information processing method according to the first or second aspect.

In a sixth aspect, embodiments of the present disclosure provide a computer-readable storage medium having stored 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.

According to the information processing method provided by the embodiment of the disclosure, when a client triggering instruction is received, channel material texts of a client can be obtained, wherein the channel material texts can be material texts corresponding to downloading channels of the client, and also can be material texts corresponding to triggering channels of the client, for example, when a user browses a webpage in other channels, after triggering links associated with a certain material text A in the webpage, the client can be downloaded, and the material text A is the material text corresponding to the downloading channels of the client; for another example, when a user browses a web page in other channels, 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 the triggering channel of the client. The client can acquire channel material texts which are triggered to be downloaded or opened no matter the client is used for triggering the downloading of the channel or the client is used for triggering the opening of the channel, so that when a trigger instruction of the client is received, the channel material texts are sent to the server, the server can determine corresponding target recommendation information based on the channel material texts, and after receiving the target recommendation information, the client can display the target recommendation information in the client, so that information associated with the channel material texts can be displayed, and a user does not need to manually input search keywords corresponding to the channel material texts at the client, thereby improving the information acquisition efficiency.

Drawings

In order to more clearly illustrate the technical solutions of the embodiments of the present disclosure, the drawings that are needed in the embodiments will be briefly described below, it being understood that the following drawings only illustrate some embodiments of the present disclosure and therefore should not be considered as limiting the scope, and other related drawings may be obtained according to these drawings without inventive effort for a person of ordinary skill in the art.

FIG. 1 shows a flow chart of an information processing method provided by an embodiment of the present disclosure;

FIG. 2 shows a flowchart of a search method based on target recommendation information provided by 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 illustrates a navigation page diagram including target recommendation information provided by an embodiment of the present disclosure;

FIG. 3c illustrates a material text results page schematic associated with channel material text provided by an embodiment of the present disclosure;

FIG. 4 is a flow chart of another information processing method according to an embodiment of the present disclosure;

FIG. 5 illustrates a flow chart of a method for determining target recommendation information provided by an embodiment of the present disclosure;

Fig. 6 shows a schematic structural diagram of an information processing apparatus provided by an embodiment of the present disclosure;

fig. 7 is a schematic diagram showing the structure of another information processing apparatus provided by an embodiment of the present disclosure;

fig. 8 illustrates a schematic structural diagram of an electronic device according to an embodiment of the present disclosure;

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

Detailed Description

For the purpose of making the objects, technical solutions and advantages of the embodiments of the present disclosure clearer, the technical solutions of the embodiments of the present disclosure will be clearly and completely described with reference to the accompanying drawings in the embodiments of the present disclosure, it should be understood that the drawings in the present disclosure are for the purpose of illustration and description only, and are not intended to limit the scope of protection of the present disclosure. In addition, it should be understood that the schematic drawings are not drawn to scale. A flowchart, as used in this disclosure, illustrates operations implemented according to some embodiments of the present disclosure. It should be understood that the operations of the flow diagrams may be implemented out of order and that steps without logical context may be performed in reverse order or concurrently. Moreover, one or more other operations may be added to or removed from the flow diagrams by those skilled in the art in light of the present disclosure.

In addition, the described embodiments are only some, but not all, of the embodiments of the present disclosure. The components of the embodiments of the present disclosure, which are generally described and illustrated in the figures herein, may be arranged and designed in a wide variety of different configurations. Thus, the following detailed description of the embodiments of the present disclosure provided in the accompanying drawings is not intended to limit the scope of the disclosure, as claimed, but is merely representative of selected embodiments of the disclosure. All other embodiments, which can be made by those skilled in the art based on the embodiments of this disclosure without making any inventive effort, are intended to be within the scope of this disclosure.

At present, for a target application program, a user can download the target application program in a special application program store, and can directly open the target application program in a user terminal for use after downloading, but when the user browses web pages of other channels, and browses a material text of interest, 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 is prompted to download and install the target application program, if the user terminal already installs the target application program, the user is prompted 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, the user still needs to manually input the material text in a search area of the target application program, so that information content of interest of the user is further acquired, and the information acquisition efficiency of the mode is low, and the user experience degree is reduced. An information processing method will be provided below in connection with specific embodiments to solve the above-described problems.

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

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

The Client (Client) or referred to as Client herein refers to a program corresponding to a server and providing a local service for a Client, and is generally installed on a common Client, and needs to cooperate with the server to operate, for example, some application program App.

When a user browses a webpage through other channels in a user terminal, if the user needs to view through the client side in further review of the material text, after clicking the material text, if the user determines that the client side is not installed in the user terminal, a download link prompting the user to download the client side can be displayed, the download link can contain channel identification information corresponding to the webpage browsed by the user and the material text, after clicking the download link further, a request for acquiring an installation package of the client side can be sent to a cloud server corresponding to the client side, after receiving the request, the cloud server can compress the channel identification information, the material text and the installation package of the client side and then send the compressed material text to the user terminal, and after the user terminal downloads the client side, the client side can store the material text, and the material text stored under the condition is recorded as the material text corresponding to the download channel of the client side.

Or when the user browses the webpage through other channels in the user terminal, if the user needs to view the material text through the client if further review of the material text is needed, after clicking the material text, if the user terminal is determined to be provided with the client, the user can be shown to be prompted to open an open link of the client, channel identification information corresponding to the webpage browsed by the user and the material text can be obtained in the open link, and after clicking the open link, the user can save the material text and the channel identification information through the open link, and the material text saved under the condition is recorded as the material text corresponding to the triggering channel of the client.

In particular, for a request for triggering to open the client through the material text, when the open link associated with the material text is clicked, the client triggering instruction is triggered at the same time.

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

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

The sending of the trigger request carrying the channel material text to the server refers to the situation that the channel material text of the client can be obtained after the trigger instruction of the client is received, for example, the situation that the client is directly triggered to be opened by clicking the channel material text in a webpage when a user browses the webpage in other channels, or the situation that the client is directly triggered to be opened by clicking the channel material text in the webpage after the client is downloaded is triggered by clicking the channel material text.

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

After receiving the trigger request, the server can obtain the channel material text carried in the trigger request, then can 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, and the determination process of the target recommendation information will be described in detail in the following embodiments.

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

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

After receiving target recommendation information determined based on channel material text sent by a server, the target recommendation information can be displayed in a 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 in the client, so that the information acquisition efficiency is improved.

The target recommendation information can be keyword information used for information searching, and when the target recommendation information is triggered by a user, information associated with channel material text can be found.

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

(1) Displaying target recommendation information in a popup window mode;

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

Aiming at the first situation, after the client receives the target recommendation information, the target recommendation information can be displayed in a popup mode, namely, after the client receives the target recommendation information, the popup is displayed, and then the target recommendation information is displayed on the popup; for the second case, after the client receives the target recommendation information, the target recommendation information may be displayed in a search area of the client.

Particularly, when the target recommendation information comprises a plurality of target recommendation information, the plurality of target recommendation information can be displayed in a bullet frame mode, and a user can continuously select any target recommendation information in the plurality of target recommendation information displayed in the bullet frame, namely, information related to channel material texts can be obtained.

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

Specifically, when the target recommendation information includes a plurality of target recommendation information and the plurality of target recommendation information corresponds to different attribute categories, the plurality of target recommendation information can be displayed in a classified manner when the target recommendation information is displayed, for example, when the target recommendation information is displayed in a popup window mode, corresponding areas can be divided on the popup window according to the number of the attribute categories, for example, when the target recommendation information includes 4 target recommendation information, wherein the attribute categories corresponding to 2 target recommendation information are shopping categories, the attribute categories corresponding to 2 target recommendation information are search categories, two areas are divided on the popup window, 2 target recommendation information of the shopping category is displayed in one area, and 2 target recommendation information of the search category is displayed in the other area.

Similarly, when the target recommendation information of a plurality of different attribute categories is displayed through the search area, the corresponding area 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 the attribute categories corresponding to 2 target recommendation information are shopping categories, and the attribute categories corresponding to 2 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 are separated through separators; and displaying 2 target recommendation information of the search category in another area, wherein the target recommendation information of the two search categories is also separated by a separator.

After the client displays the target recommendation information, the user may click on 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 in the embodiment of the present disclosure further includes the following steps S201 to S202:

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

For example, after the user clicks on 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 searched based on the target recommendation information and sent by the server, displaying the search result.

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

The following description of the above process is made in terms of a specific embodiment, the schematic diagram in this specific embodiment is merely illustrative, and does not represent a real cell phone interface diagram:

aiming at a client A of a news media class, when a user browses channel material texts through a user terminal, such as a mobile phone in other webpages, and the mobile phone garbage can be cleaned effectively, so that the mobile phone operation speed is improved, if the channel material texts are interested, a method for cleaning the garbage by the mobile phone can be clicked, if the client A is not installed in the mobile phone of the user, a prompt of whether the client A is downloaded or not occurs after the channel material texts are clicked, the client A is downloaded after the user clicks and starts downloading, after the downloading and installation are completed, the user triggers and opens the client A, the client A can clean the mobile phone garbage effectively, so that the mobile phone operation speed is improved, the server determines target recommendation information related to the channel material texts based on the channel material texts, then sends the target recommendation information to the client A, and displays the target recommendation information, such as the method for cleaning the mobile phone garbage by the server, and the target recommendation information determined by the client A can be displayed in a target recommendation information area, namely, the target recommendation information can be further displayed in a guide area, such as a target page 3, and the target information can be further shown in a guide area, and the relevant information can be further displayed in a navigation area, and the mobile phone text is more than the target material information is more than the target recommendation area.

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

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

In summary, after receiving a client triggering instruction, a client may first determine whether a channel material text of the client can be obtained, if the channel material text is included, a triggering request carrying the channel material text is sent to a server, so that the server can determine target recommendation information corresponding to the client based on the channel material text, if the channel material text is not included, a triggering request indicating that the channel material text is empty is sent to the server, and other target recommendation information sent by the server is received at this time.

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

s401, when a triggering request sent by a client is received, determining whether the triggering request carries channel material texts, wherein the channel material texts comprise material texts corresponding to downloading channels of the client or material texts corresponding to triggering channels of the client.

The channel material text is described above and will not be described in detail herein.

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

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

S403, sending the target recommendation information to the client.

The page information carrying the target recommendation information can be sent to the client, the user can further check the information related to the channel material text by searching the target recommendation information, and the channel material text does not need to be manually input at the client, so that the information acquisition efficiency is improved.

For the step S402, after determining that the channel material text is carried in the trigger request, target recommendation information may be obtained based on the channel material text, where the target recommendation information may be keyword information used for searching information, for example, keyword information that may be obtained by intercepting keywords from the channel material text and may represent meaning of the channel material text, and determining, based on the channel material text, target recommendation information to be displayed at the client, as shown in fig. 5, includes:

s501, word segmentation processing is carried out on the channel material text, and a plurality of word units are obtained.

Here, the channel material text may be segmented based on a commonly used word dictionary, so that a plurality of word units may 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 subjected to the 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 sense exist in the plurality of first word units;

(3) If there are multiple first word units capable of being combined into one word meaning, performing association combination on the multiple first word units to obtain at least one second word unit, where the at least one second word unit and the first word units not subjected to combination processing form the above-mentioned multiple word units, and the multiple word units can be used for generating at least one candidate search information later.

For example, aiming at the channel material text introduced above, the method can effectively clean up the mobile phone garbage, so that the mobile phone operation speed is improved, and the method is obtained after word segmentation: "how", "effectively", "clean", "cell phone", "garbage", "get", "run", "speed", "increase", then the deactivated words without actual meaning ("," how "," get ") can be filtered to get the first word unit: "effectively", "clean", "cell phone", "garbage", "run", "speed" and "increase".

After the channel material text is segmented through a common word dictionary and stop words are filtered, some first word units co-occur in a large number of corpora, and the first word units can be considered as first word units which can be combined into the same word meaning, for example, in the field of mobile phones, "operation" and "speed" co-occur in a plurality of corpora, so that the "operation" and "speed" can be combined into "operation speed", namely, the first word units "operation" and "speed" are combined into second word units.

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

S502, generating at least one candidate search information based on a 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 not exceeding the set number from the plurality of word units according to the set sequence, and generating at least one 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 intuitively see the complete information, word units included in the target recommended word information are generally composed of less than a set number of word units, for example, words that may include 5 word units or less than 5 word units.

If 20 word units are obtained after word segmentation is performed on a certain channel material text, no more than a set number of word units can be extracted from the 20 word units, and considering that the arrangement order of the word units is different, the semantic meaning of the obtained candidate search information expression may be different, where the extraction order is considered during extraction, 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, CBA.

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

After obtaining the candidate search information, since the candidate search information may include a plurality of candidate search information, further, it is necessary to select the target recommendation information from the plurality of candidate search information.

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

(1) Acquiring historical searching times corresponding to at least one candidate searching information;

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

Specifically, 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 is likely to be searched by the user as a search word, that is, each time a search instruction containing the candidate search information sent by the client is received, the server can store the search instruction, so that the historical search times corresponding to each candidate search information can be obtained, or the historical search times corresponding to each candidate search information can be counted within a certain duration.

And then according to the historical searching times corresponding to each candidate searching information, the candidate searching information can be subjected to the repeated ranking, namely the first candidate searching information with the highest historical searching times is ranked, and then the candidate searching information with the preset number before ranking is used as target recommendation information.

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

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

(2) And sorting the at least one candidate search information in a descending order based on the number of search results corresponding to the at least one candidate search information, and taking the candidate search information with the number set 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 acquired, 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 determining the target recommendation information according to the method, the number of search results corresponding to each candidate search information can be determined, wherein the number of search results corresponding to any candidate search information can be the number of material texts obtained by taking any candidate search information as a search word in a history search record, for example, the candidate search information comprises 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, the number of search results 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 the repeated ranking, namely, ranking the first candidate search information with highest historical search times, and then taking the candidate search information with the number set before ranking as target recommendation information.

The method for determining the target recommendation information is based on channel material texts, after word segmentation processing is carried out on the channel material texts, a plurality of candidate search information is formed, and then the target recommendation information is determined based on the plurality of candidate search information, so that the target recommendation information with higher 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, and the process does not need the user to manually input the channel material texts in a client side, namely the information acquisition efficiency is improved.

The first and second modes can be used independently to determine the target recommendation information, when the number of candidate search information set before sorting includes a plurality of candidate search information, the method can also be used in combination to determine the target recommendation information, when the method is used in combination, the sequence of the first mode and the second mode is not limited, for example, after sorting is performed based on the number of searches, a plurality of candidate search information is selected, then sorting is performed in the plurality of candidate search information according to the number of search results corresponding to each candidate search information, then the number of candidate search information is further reduced, and finally the target recommendation information is determined, and vice versa, which is not described herein.

In another embodiment, if the channel material text further includes channel identification information, the above-mentioned determining the target recommendation information based on at least one candidate search information may determine the target recommendation information according to the following third manner:

among the plurality of candidate search information, candidate search information matching the attribute category corresponding to the channel identification information is selected as target recommendation information.

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

Here, the attribute category corresponding to each candidate search information is labeled in advance, and can be determined by the attribute category of the search result corresponding to the candidate search information when the candidate search information is used as the search word in the history search record, the attribute category with the largest number of search results is used as the attribute category corresponding to the candidate search information, and after the attribute category corresponding to each candidate search information in the plurality of candidate search information is obtained, the candidate search information with the same attribute category corresponding to the channel identification information can be selected from the plurality of candidate search information to be used as the target recommendation 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 is the 1 st candidate search information and the 2 nd candidate search information.

In particular, the third method of determining the target recommendation information may be used in combination with the first method or the second method of 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 descending order as mentioned above and the candidate search information of the pre-sort set number is set as the target recommendation information, if the candidate search information of the pre-sort set number includes a plurality of candidate search information of the pre-sort set number, candidate search information matching the attribute category corresponding to the channel identification information may be selected as the target recommendation information.

For example, in the case that the third mode of determining the target recommended information is used in combination with the first mode of determining the target recommended information, if at least one candidate search information is ranked based on the corresponding historical search times, if the set number of candidate search information before ranking 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 in the channel material text is also search attribute category, the target recommended information is the 1 st candidate search information and the 2 nd candidate search information.

In addition, in the case where the third mode of determining the target recommended information is used in combination with the second mode of determining the target recommended information, if at least one candidate search information is sorted in a descending order based on the number of corresponding search results, if the set number of candidate search information before sorting 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 search category, the target recommended information is the 1 st candidate search information and the 2 nd candidate search information.

In addition, for the situation that three modes of determining the target recommended information are combined for use, firstly, sorting is performed based on the searching times, then a plurality of candidate searching information is selected, then sorting is performed in the plurality of candidate searching information according to the number of searching results corresponding to each candidate searching information, then the number of candidate searching information is further reduced, and then the number of candidate searching information is further reduced based on the attribute category corresponding to the channel identification information and the attribute category corresponding to the candidate searching information after the range is reduced, and finally the target recommended information is determined.

Here, the channel identification information is taken into consideration, and the target recommendation information is determined together 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 a user can conveniently and quickly obtain content related to the channel material text.

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

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

The search result, namely the navigation page containing the target recommendation information, can be introduced, and the user can continuously trigger the target recommendation information in the navigation page, so that the material text associated with the target recommendation information is further requested to the server, namely the user can conveniently find the information related to the channel material text.

For the case that the target recommendation information includes a plurality of target recommendation information and the plurality of target recommendation information corresponds 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.

The determining of the attribute category corresponding to the target recommendation information may be performed according to the attribute category of the search result corresponding to the target recommendation information when the target recommendation information is used as the search word, which is similar to the determining of the attribute category corresponding to the candidate search information, and will not be described herein.

Of course, when the attribute types of the target recommendation information are 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.

In the foregoing, it is mentioned that, for the case that, after the client triggering instruction is responded, if the channel material text of the client is not acquired, the client may send a triggering request indicating that the channel material text is empty to the server, so the information processing method provided by the embodiment of the present disclosure further includes:

(1) If the triggering request does not carry 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 hot spot 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 hot spot information of the client.

The triggering request may further include a client identifier, when the server determines that the triggering request does not carry the channel material text, it may first determine whether the triggering request is a first login request of the client based on the client identifier, if the triggering request is the first login request of the client, it is indicated that the client has not logged in before, that is, a history search record of the client is not saved, at this time, the target recommendation information may be determined based on the current hotspot information, for example, a search word corresponding to the current hotspot information is used as the target recommendation information, if the current hotspot information is not unique, the target recommendation information is also not unique, and at least one item of target recommendation information may be randomly sent to the client.

If the triggering request is not the first login request of the client, the history search record corresponding to the client can be searched based on the client identifier, the material type interested by the client is extracted based on the history search record, for example, the history search record of the user is classified based on different material types, then the material type with the highest number of the corresponding history search records after the classification is used as the material type interested by the client, then the recommended word corresponding to the current hot spot information of the material type which is the same as the material type can be further extracted as the target recommended information, and if the obtained target recommended information is not unique, at least one item of target recommended information can be randomly sent to the client.

Aiming at the situation that channel material text of the client is not acquired, information recommended with the target can be sent to the client, so that information acquisition efficiency is improved.

Based on the same technical concept, the embodiments of the present disclosure further provide an information processing apparatus corresponding to the information processing method, and since the principle of solving the problem by the apparatus in the embodiments of the present disclosure is similar to that of the information processing method in the embodiments of the present disclosure, implementation of the apparatus may refer to implementation of the method, and repeated descriptions are omitted.

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

The acquiring module 601 is configured to respond to a client triggering instruction, and acquire 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;

and 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 popup window mode; or alternatively, the process may be performed,

In one possible implementation, when the target recommendation information includes a plurality of target recommendation information and the plurality of target recommendation information corresponds to different attribute categories, the display module 603 includes:

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

responding to a search instruction aiming at target recommendation information, and sending a 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 searched based on the target recommendation information.

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

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

the determining module 702 is configured to determine, if the trigger request is determined to carry channel material text, target recommendation information to be displayed at the client based on 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, based on channel material text, target recommendation information to be presented at the client, includes:

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

In one possible implementation manner, the determining module 702, when configured to perform word segmentation on 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 subjected to the word segmentation to obtain a plurality of first word units;

if a plurality of first word units capable of being combined into one word meaning exist, the plurality of first word units are combined in a correlated mode 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 the at least one candidate search information, includes:

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

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

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

and sorting at least one candidate search information in a descending order based on the number of the search results, and taking the candidate search information with the set number before sorting as 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 module 702 includes, when configured to determine the target recommendation information based on at least one candidate search information:

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

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

if the triggering request does not carry 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 target recommendation information based on the current hot spot 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 hot spot information of the client.

The process flow of each module in the apparatus and the interaction flow between the modules may be described with reference to the related descriptions in the above method embodiments, which are not described in detail herein.

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

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

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

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

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

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

When the electronic device is a client, as shown in fig. 9, a schematic structural diagram of an electronic device 900 provided in an embodiment of the 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, which when executed by the processor 901, perform the following processes when the electronic device 900 is in operation, the processor 901 communicates with the storage medium 902 via the bus 903:

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

and sending the target recommendation information to the client.

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

And selecting one candidate search information with the highest corresponding search result number as 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 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 embodiments also provide a computer readable storage medium having stored thereon a computer program which, when executed by a processor, performs the steps of the above-described information processing method.

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 above-described information processing method can be executed, thereby improving the information acquisition efficiency.

It will be clearly understood by those skilled in the art that, for convenience and brevity of description, specific working procedures of the above-described system and apparatus may refer to corresponding procedures in the method embodiments, and will not be described in detail in this disclosure. In the several embodiments provided in the present disclosure, it should be understood that the disclosed systems, devices, and methods may be implemented in other manners. The above-described apparatus embodiments are merely illustrative, and the division of the modules is merely a logical function division, and there may be additional divisions when actually implemented, and for example, multiple modules or components may be combined or integrated into another system, or some features may be omitted or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be through some communication interface, indirect coupling or communication connection of devices or modules, electrical, mechanical, or other form.

The modules described as separate components may or may not be physically separate, and components shown as modules may or may not be physical units, may be located in one place, or may be distributed over multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

In addition, each functional unit in each embodiment of the present disclosure may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in 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 essence or a part contributing to the prior art or a part of the technical solution, or in the form of a software product stored in a storage medium, including several instructions to cause a computer device (which may be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method described in the embodiments of the present disclosure. And the aforementioned storage medium includes: a usb disk, a removable hard disk, a ROM, a RAM, a magnetic disk, or an optical disk, etc.

The foregoing is merely a specific embodiment of the disclosure, but the protection scope of the disclosure is not limited thereto, and any person skilled in the art can easily think about changes or substitutions within the technical scope of the disclosure, and it should be covered in the protection scope of the 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 in that the information processing method comprises:

responding to a client triggering instruction, and acquiring channel material text of the client; the channel material text comprises material text corresponding to a downloading channel of the client, the material text corresponding to the downloading channel of the client is stored in a downloading link of the client, and the downloading link of the client is obtained after triggering the material text in a non-client and is used for installing the client;

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

after receiving target recommendation information determined based on the channel material text and attribute categories corresponding to the target recommendation information sent by the server, displaying the target recommendation information and the attribute categories corresponding to the target recommendation information in the client; the target recommendation information comprises a plurality of target recommendation information, and the plurality of target recommendation information corresponds to different attribute categories.

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 when the target recommendation information includes a plurality of target recommendation information and the plurality of target recommendation information corresponds to different attribute categories, the presenting the target recommendation information includes:

4. The information processing method according to claim 1, characterized in that the information processing method further comprises:

5. An information processing method, characterized in that the information processing method comprises:

when a trigger request sent by a client is received, determining whether a channel material text is carried in the trigger request, wherein the channel material text comprises a material text corresponding to a downloading channel of the client, the material text corresponding to the downloading channel of the client is stored in a downloading link of the client, and the downloading link of the client is obtained after triggering the material text in a non-client and is used for installing the client;

If the triggering request is determined to carry the channel material text, determining target recommendation information to be displayed on the client based on the channel material text; determining attribute categories corresponding to each piece of target recommendation information;

transmitting the target recommendation information and the attribute category corresponding to the target recommendation information to the client; the target recommendation information comprises a plurality of target recommendation information, and the plurality of target recommendation information corresponds to different attribute categories.

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

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

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 includes:

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 wherein if the candidate search information includes a plurality of, 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, characterized in that the information processing method further comprises:

13. An information processing apparatus, characterized by comprising:

the acquisition module is used for responding to the client triggering instruction and acquiring channel material text of the client; the channel material text comprises material text corresponding to a downloading channel of the client, the material text corresponding to the downloading channel of the client is stored in a downloading link of the client, and the downloading link of the client is obtained after triggering the material text in a non-client and is used for installing the client;

the display module is used for displaying the target recommendation information and the attribute category corresponding to the target recommendation information in the client after receiving the target recommendation information determined based on the channel material text and the attribute category corresponding to the target recommendation information sent by the server; the target recommendation information comprises a plurality of target recommendation information, and the plurality of target recommendation information corresponds to different attribute categories.

14. An information processing apparatus, characterized in that the information processing apparatus comprises:

the receiving module is used for determining whether a channel material text is carried in a trigger request sent by a client or not when the trigger request is received, wherein the channel material text comprises a material text corresponding to a downloading channel of the client, the material text corresponding to the downloading channel of the client is stored in a downloading link of the client, and the downloading link of the client is obtained after the material text in a non-client is triggered and is used for installing the client;

the determining module is used for determining target recommendation information to be displayed on the client based on the channel material text if the trigger request is determined to carry the channel material text; determining attribute categories corresponding to each piece of target recommendation information;

the sending module is used for sending the target recommendation information and the attribute category corresponding to the target recommendation information to the client; the target recommendation information comprises a plurality of target recommendation information, and the plurality of target recommendation information corresponds to different attribute categories.

15. 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 over the bus when the electronic device is running, the processor executing the machine-readable instructions to perform the steps of the information processing method according to any one of claims 1 to 12.

16. A computer-readable storage medium, characterized in that the computer-readable storage medium has stored thereon a computer program which, when executed by a processor, performs the steps of the information processing method according to any of claims 1 to 12.