CN112925878B

CN112925878B - Data processing method and device

Info

Publication number: CN112925878B
Application number: CN201911243305.4A
Authority: CN
Inventors: 刘鹏
Original assignee: Tencent Technology Shenzhen Co Ltd
Current assignee: Tencent Technology Shenzhen Co Ltd
Priority date: 2019-12-06
Filing date: 2019-12-06
Publication date: 2024-04-09
Anticipated expiration: 2039-12-06
Also published as: CN112925878A

Abstract

The embodiment of the invention discloses a data processing method and device. According to the embodiment of the invention, the search request input in the text input area of the browser can be obtained, word segmentation processing is carried out on the search request, the keyword corresponding to the search request is obtained, matching is carried out in the preset card library according to the keyword, so that a plurality of card patterns associated with the keyword in the preset card library are determined, weight values of the plurality of card patterns are calculated respectively, the target card pattern is selected according to the weight values, and the target card pattern is displayed in the recommended area of the browser. According to the method and the device for displaying the recommended content, after the browser inputs the search request, the keywords are extracted, the browser bypasses the search engine to display the personalized card style according to the keywords, the matching capability of the browser is utilized to display high-quality content for the user, and the diversity of recommended content display is improved.

Description

Data processing method and device

Technical Field

The present invention relates to the field of data processing, and in particular, to a data processing method and apparatus.

Background

Currently, when a user searches for a target file, search engines such as hundred degrees or google can be adopted, search is performed through the name of the target file or a fuzzy query search term, and screening is performed piece by piece in webpage information displaying a search result; the user can browse the portal site containing the target files and search the required target files in the file library of the portal site.

In the existing internet search service, a search engine searches a database established by information of each website extracted from the internet, searches related records matched with a user query condition, and returns results to a user according to a certain arrangement sequence for the user to check.

Disclosure of Invention

The embodiment of the invention provides a data processing method and a data processing device, which aim to display card patterns associated with keywords in a search request, personalized customization is carried out on recommended contents, and diversity is improved.

In order to solve the technical problems, the embodiment of the invention provides the following technical scheme:

a method of data processing, the method comprising:

acquiring a search request input in a text input area of a browser;

word segmentation processing is carried out on the search request to obtain keywords corresponding to the search request;

matching is carried out in a preset card library according to the keywords so as to determine a plurality of card patterns associated with the keywords in the preset card library;

And respectively calculating weight values of the plurality of card patterns, selecting a target card pattern according to the weight values, and displaying the target card pattern to a recommendation area of the browser.

A data processing apparatus comprising:

an acquisition unit configured to acquire a search request input in a text input area for a browser;

the word segmentation unit is used for carrying out word segmentation processing on the search request to obtain keywords corresponding to the search request;

the matching unit is used for matching in a preset card library according to the keywords so as to determine a plurality of card patterns associated with the keywords in the preset card library;

the processing unit is used for respectively calculating the weight values of the plurality of card patterns, selecting a target card pattern according to the weight values and displaying the target card pattern to the recommended area of the browser.

A storage medium storing a plurality of instructions adapted to be loaded by a processor to perform the steps of the data processing method described above.

An electronic device, comprising: the system comprises a memory, a processor and a data processing program stored in the memory and capable of running on the processor, wherein the data processing program realizes any data processing method provided by the embodiment of the invention when being executed by the processor.

According to the embodiment provided by the application, the search request input in the text input area of the browser can be obtained, word segmentation processing is carried out on the search request, keywords corresponding to the search request are obtained, matching is carried out in the preset card library according to the keywords, so that a plurality of card patterns associated with the keywords in the preset card library are determined, weight values of the plurality of card patterns are calculated respectively, a target card pattern is selected according to the weight values, and the target card pattern is displayed in the recommended area of the browser. According to the method and the device for displaying the recommended content, after the browser inputs the search request, the keywords are extracted, the browser bypasses the search engine to display the personalized card style according to the keywords, the matching capability of the browser is utilized to display high-quality content for the user, and the diversity of recommended content display is improved.

Drawings

In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings that are needed in the description of the embodiments will be briefly described below, it being obvious that the drawings in the following description are only some embodiments of the present invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.

FIG. 1 is a schematic diagram of a scenario of a data processing system provided by an embodiment of the present invention;

FIG. 2 is a schematic flow chart of a data processing method according to an embodiment of the present invention;

FIG. 3 is a schematic diagram of a browser search interface according to an embodiment of the present invention;

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

FIG. 5 is a schematic diagram of a data processing apparatus according to an embodiment of the present invention;

FIG. 6 is a schematic diagram of another structure of a data processing apparatus according to an embodiment of the present invention;

fig. 7 is a schematic structural diagram of an electronic device according to an embodiment of the present invention.

Detailed Description

The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to fall within the scope of the invention.

Reference herein to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment may be included in at least one embodiment of the invention. The appearances of such phrases in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. Those of skill in the art will explicitly and implicitly appreciate that the embodiments described herein may be combined with other embodiments.

The embodiment of the invention provides a data processing method, and an execution main body of the data processing method can be a data processing device provided by the embodiment of the invention or a server integrated with the data processing device, wherein the data processing device can be realized in a hardware or software mode.

Referring to fig. 1, fig. 1 is a schematic view of a scenario of a data processing system according to an embodiment of the present invention, including: the terminal 10 and the server 20, for example, the terminal 10 may be an android system-based terminal or an IOS system-based terminal, or may be a PC based on a Windows system or a MAC system, or the like. The terminal 10 and the server 20 may be connected by a communication network including a wireless network and a wired network, wherein the wireless network includes one or more of a wireless wide area network, a wireless local area network, a wireless metropolitan area network, and a wireless personal area network. The network includes network entities such as routers, gateways, etc., which are not shown. The terminal 10 may interact with the server 20 via a communication network, for example, applications may be downloaded from the server 20.

The data processing system may include a data processing device, which may be specifically integrated in a terminal having a storage unit and a microprocessor and having an operation capability, such as a tablet computer, a television, a mobile phone, a notebook computer, a desktop computer, etc., in fig. 1, the terminal is the terminal 10 in fig. 1, and an application, such as a browser application, may be installed in the terminal 10. The terminal 10 may input a search request through a browser application, send the search request to the server 20, and receive a target card style and a corresponding configuration file returned by the server 20 according to the search request, where the terminal 10 may render and display the target card style after receiving the configuration file.

The data processing system may further include a server 20, mainly configured to receive a search request sent by the terminal 10, then perform word segmentation processing on the search request to obtain keywords, then match the keywords to a plurality of card styles in a card library, and finally select a target card style therein and send a corresponding configuration file to the terminal 10. The data processing system may further include a memory for storing a card library including a plurality of card patterns, so that the server may match keywords of the search request from the memory according to the card library, and finally send the matched target card pattern to the terminal 10.

It should be noted that, the schematic view of the scenario of the data processing system shown in fig. 1 is merely an example, and the data processing system and scenario described in the embodiment of the present invention are for more clearly describing the technical solution of the embodiment of the present invention, and do not constitute a limitation on the technical solution provided by the embodiment of the present invention, and those skilled in the art can know that, with the evolution of the data processing system and the appearance of a new service scenario, the technical solution provided by the embodiment of the present invention is equally applicable to similar technical problems.

The following will describe in detail. The numbers of the following examples are not intended to limit the preferred order of the examples.

In the present embodiment, description will be made from the viewpoint of a data processing apparatus which can be integrated in a terminal which is a terminal provided with a storage unit and capable of running an application program.

A data processing method, comprising:

acquiring a search request input in a text input area of a browser;

Referring to fig. 2, fig. 2 is a flow chart of a data processing method according to an embodiment of the invention. The data processing method comprises the following steps:

in step 101, a search request for input in a browser text input area is acquired.

In an embodiment, the search request may be text information input by a user. In practice, the user may enter text information through a text entry area of a browser in the terminal device. For example, the terminal device may present a text input area provided with text input controls through which a user may input text information to enable human-machine interaction with the device. For example, the search portal provided by the browser navigation page is provided to the user in the form of a search box in which the user only needs to input text information as a search request.

In an embodiment, when the user inputs the text information, the user may input the text information in various input modes, for example, the text information may be input, or the user may input the text information in a voice information manner. Correspondingly, after receiving the voice information, the device can convert the voice information into text information to serve as a retrieval request. For example, a large amount of voice information and text information corresponding to the voice information may be used to train an acoustic model (such as a hidden markov model), and when the training of the acoustic model is completed and the voice information input by the user is received, the trained acoustic model may be used to identify the voice information, so as to obtain the text information corresponding to the voice information input by the user as the retrieval request. Alternatively, the electronic device may directly convert the acquired voice information into text information by using an existing voice recognition product, which is not described herein.

In an embodiment, after the browser is opened and the text input area of the browser is displayed, before the user inputs text information, i.e. when the text input area is blank, the browser may further generate and display recommended content, for example, displaying a preset number of recommended content in a list form under the text input area. The recommended content may include a common word with a higher search frequency, where the common word may be a search keyword with a search frequency reaching a certain search degree in a preset time. The searching degree can be set by the terminal device, for example, the searching degree can be set to 3 times of daily searching frequency, so that keywords with the daily searching frequency being more than or equal to 3 times can be used as common words, the preset number is 10, for example, if the number of the common words exceeds 10, 10 common words with the highest searching frequency can be selected to be used as recommended content for displaying. The recommended content may further include keywords recently searched by the user, for example, 10 keywords recently input by the user are acquired to be displayed as the recommended content.

In other embodiments, the recommended content may be a news hot spot on the same day, for example, the news hot spots may be ranked according to network hotness, and then a preset number of news hot spots are selected as the recommended content according to the ranking result, so as to be displayed in a list form under a text input area of the browser.

In step 102, word segmentation is performed on the search request to obtain keywords corresponding to the search request.

In an embodiment, if the search request input by the user is a word, such as a banana, a doggie, a mobile phone, etc., the search request can be directly used as a keyword without word segmentation. If the search request is a long sentence, word segmentation processing is required to be performed on the sentence so as to obtain a corresponding keyword. It should be noted that the keyword may be one or more keywords, for example, the user inputs a search request of "XX mobile phone of XX shopping website" in a search box of the browser, and the keywords obtained after the word segmentation may be "XX website" and "XX mobile phone".

In an embodiment, the search request may be segmented by intent recognition to obtain keywords, where intent recognition refers to the understanding of user intent and demand by the disassembly and analysis of user query words. There are various methods for intention recognition, such as a word list exhaustion method, a rule parsing method, a machine learning method, and the like.

The vocabulary exhaustion method obtains the query intention through a direct vocabulary matching mode, and meanwhile, categories which are simpler and have more concentrated query modes can be added, for example, query words are as follows: german [ addr ] Aitamei [ brand ] milk powder [ product ] three-stage [ attr ]. Query mode: [ brand ] + [ product ]; [ product ] + [ attr ]; [ brand ] + [ product ] + [ attr ]. Of course, the query pattern may be made unordered. The intention recognition mode is simple to realize, and can accurately solve the high-frequency word. Since queries generally satisfy the 20/80 law, 20% of the queries occupy 80% of the traffic searched. However, 80% of long tail queries cannot be resolved in this way, that is, the recall of this way in identifying intent may be only 20%. Meanwhile, more labor is needed, and automation is difficult to realize.

The rule analysis method is suitable for inquiring the category which accords with the rule very much, and the intention of the inquiry is obtained through the rule analysis mode. Such as: the ticket price from Beijing to Shanghai today can be converted into a [ place ] to [ place ] [ date ] [ automobile ticket/air ticket/train ticket ] price, and further comprises: 1 ton is equal to a kilogram, and can be converted into a digital unit of measurement equal to a digital unit of measurement. The method for carrying out intention recognition by means of rules has good recognition accuracy on queries with strong rules, and can well extract accurate information. Namely, word segmentation processing is carried out on the data retrieval request to obtain a plurality of candidate words, and then intention recognition is carried out on the basis of the candidate words.

The machine learning method is to calculate the probability of each intention according to the statistical classification model for the query input by the user, and finally give the intention of the query. Specifically, the system may decompose the data search request into a corresponding word sequence, then input the word sequence into an intention recognition component to obtain a code of the data search request and an intention of the data search request, input the code of the data search request into a type determination component, perform slot filling on the word sequence, and add constraints to the attribute of each word in the word sequence through a type selection component, so as to finally obtain the decoding of the word sequence, that is, the attribute of each word in the word sequence. Wherein the intention recognition component group may include a two-way long and short term memory network model (BiLSTM) and an intention Attention model (Attention), the type determination component may include a Slot Gate model (Slot-Gate), and the type selection component may be a Conditional Random Field (CRF).

In step 103, matching is performed in a preset card library according to the keywords, so as to determine a plurality of card styles associated with the keywords in the preset card library.

In an embodiment, the preset card library may include a plurality of keywords and respectively associated card styles, where each keyword may be associated with a plurality of card styles, such as a plurality of card styles with different sizes, layouts and designs, so as to have higher diversity when being displayed to a user, and after obtaining the keywords corresponding to the search request through word segmentation, the corresponding plurality of card styles may be matched in the preset card library according to the keywords.

In an embodiment, if the keywords corresponding to the search request obtained after the word segmentation are multiple, the multiple keywords may be respectively matched in a preset card library, so as to obtain multiple card styles respectively associated with the multiple keywords. In other embodiments, if the number of keywords corresponding to the search request after the word segmentation is multiple, the target keywords in the search request may be further determined, for example, the target keywords are selected according to weights of the multiple keywords in the search request, and then matching is performed in a preset card library according to the target keywords, so as to obtain multiple card styles associated with the target keywords.

In an embodiment, an operation word library may be preset, a plurality of sample words are stored in the operation word library, card patterns respectively associated with the plurality of sample words are stored in the card library, and the card patterns associated with each sample word may be a plurality of card patterns. Therefore, after the keyword corresponding to the search request is obtained, matching can be performed in the operation word stock, and if matching is successful, a plurality of card styles associated with the sample word can be further determined in the card stock according to the matched sample word. If the matching fails in the operation word stock, the matching in the card stock is not needed to be further performed, and the current flow is ended, so that the operation can be reduced, and the matching efficiency is improved. That is, after the word segmentation process is performed on the search request to obtain the keyword corresponding to the search request, the method further includes:

judging whether a sample word identical to the keyword exists in a preset word stock or not;

and if so, executing the step of matching in a preset card library according to the keywords to determine a plurality of card patterns associated with the keywords in the preset card library, wherein the preset card library comprises a plurality of sample words and corresponding relations of the plurality of card patterns respectively associated with the sample words.

In step 104, weight values of the plurality of card styles are calculated respectively, a target card style is selected according to the weight values, and the target card style is displayed in a recommended area of the browser.

In one embodiment, after determining the plurality of card patterns, to further select a target card pattern that the user likes, the plurality of card patterns may be weighted according to historical information of the user clicking on other cards. For example, the plurality of card patterns may be three, namely, an a card pattern, a B card pattern and a C card pattern, and the three card patterns may be different sizes, wherein the a card pattern is a large-size card pattern, the B card pattern is a medium-size card pattern, and the C card pattern is a small-size card pattern.

In an embodiment, if the number of keywords corresponding to the search request is multiple, the target card patterns corresponding to the multiple keywords can be obtained after matching and weighted screening. At this time, the multiple target card styles may be ranked, for example, the click amounts of the multiple target card styles may be ranked according to the background statistics of the browser by the full-network user, and then the multiple target card styles may be displayed in sequence according to the ranking result. In other embodiments, two or three target card styles with highest ranks may be selected for display, so as to avoid the problem of display confusion of the browser interface. That is, if the keywords corresponding to the search request are plural, the step of displaying the target card style to the recommended region of the browser includes:

sorting a plurality of target card styles corresponding to the keywords respectively;

and displaying the plurality of target card styles to a recommendation area of the browser according to the sorting result.

In an embodiment, the card in this embodiment includes hyperlinks, and the browser interface may receive a click operation from the user and jump to a page associated with the hyperlink corresponding to the card. It should be noted that, under the display of the target card style, other associated recommendation information of the keywords may also be continuously displayed.

Referring to fig. 3, fig. 3 is a schematic diagram of a search interface of a browser according to an embodiment of the invention. The user inputs keywords in the XX browser search box to inquire, for example, the search "XX mall" browser intercepts the search words, matches the keywords, and can display recommended information and information flow by default before matching. And feeding back a matching result to the recommendation list for the intercepted keywords, rapidly finding a plurality of card patterns matched with the keyword types by performing word stock comparison on the keyword types, and then selecting a target card pattern for display. In this process, customized recommendations may be made to certain business partners. For example, the user inputs keywords, the keywords are firstly classified into mall categories, the corresponding card types are matched through the mall categories, the results are displayed, manual intervention is performed through cms, customized intervention can be performed on the search result card according to the keywords, and the user is induced to click on the card activity by using different types.

As can be seen from the foregoing, the data processing method provided by the embodiment of the present application may obtain a search request input in a text input area of a browser, perform word segmentation processing on the search request to obtain a keyword corresponding to the search request, match the keyword in a preset card library according to the keyword, so as to determine a plurality of card styles associated with the keyword in the preset card library, respectively calculate weight values of the plurality of card styles, select a target card style according to the weight values, and display the target card style to a recommended area of the browser. According to the method and the device for displaying the recommended content, after the browser inputs the search request, the keywords are extracted, the browser bypasses the search engine to display the personalized card style according to the keywords, the matching capability of the browser is utilized to display high-quality content for the user, and the diversity of recommended content display is improved.

According to the data processing method described in the above embodiment, further details will be described below by way of example.

In this embodiment, description will be given taking an example in which the data processing apparatus is specifically integrated in a terminal.

Referring to fig. 4, fig. 4 is another flow chart of a data processing method according to an embodiment of the invention. The method flow may include:

step 201, a search request for input in a browser text input area is acquired.

In an embodiment, when the user inputs the text information, the user may input the text information in various input modes, for example, the text information may be input, or the user may input the text information in a voice information manner. Correspondingly, after receiving the voice information, the device can convert the voice information into text information to serve as a retrieval request.

Step 202, word segmentation processing is carried out on the search request, and keywords corresponding to the search request are obtained.

In an embodiment, if the search request input by the user is a word, the search request can be directly used as a keyword without word segmentation. If the search request is a long sentence, word segmentation processing is required to be performed on the sentence so as to obtain a corresponding keyword. The number of the keywords may be one or plural.

In an embodiment, before the word segmentation processing is performed on the search request, the search request may be further preprocessed, for example, query rewrite is performed on the search request, where the query rewrite includes: and performing query error correction, query expansion, query deletion and query conversion. The query rewrite in this embodiment mainly includes query expansion, query deletion, and query conversion. The query expansion is specifically to expand or fill sentences input by a user, and can specifically input 'Guangzhou' after the user inputs 'query Shenzhen weather' first and receives relevant response information according to synonyms or context relations, for example. It is clear that Guangzhou is also in need of inquiring weather. Therefore, the current natural language information can be filled with information based on historical information input so as to perfect the current input request. Taking the Guangzhou woolen as an example, the query and the weather can be extracted from the information of the query Shenzhen weather, and the information of the Guangzhou woolen can be filled. And then, based on the association relation between the keywords in the above information, carrying out word order adjustment on the sentences filled with the information to obtain complete sentences. For example, taking "guangzhou woolen" as an example, the information filling and the tone adjustment may be "inquiring the weather of guangzhou".

The general application scene of query deletion is that when the user inputs too many queries, normal recall is not possible, and the queries of the user can be screened by word loss, so that the commodity most relevant to the queries is recalled. For example, when the query of the user is "XX fruit oatmeal", the original query can be rewritten into "fruit oatmeal" by deleting the query because the commodity may be put down or the commodity is of a smaller variety, and further fruit oatmeal of other brands can be recalled. The query deletion requires entity identification because it is determined which data in the query is deleted to have minimal impact on the user's original intent. Like "XX fruit oatmeal," by intent to identify that "XX" is a brand, "fruit oatmeal" is a product, it is evident that the user is more demanding fruit oatmeal than other types of oatmeal of "XX".

The query conversion is performed when the user inputs that the query cannot be recalled. For example, a user searches for "Zhouma dragon" at a shopping site, which does not have the item. Nor can the original query be processed through query synonym expansion and query deletion. It can be found from the session data that the user searches for "zebra dragon" and then follows the query "perfume", and the two queries "Zu Malong" and "perfume" can be mined by using the behavior data to be related. When the user searches for "Zu Malong" and cannot recall, the query can be converted into "perfume" to meet the requirements of the user as much as possible.

Step 203, judging whether the keyword includes a plurality of card types in the preset card library, if yes, executing step 204.

It should be noted that some keywords in the preset card library may include a plurality of card types, and a plurality of card types corresponding to different card types are different. For example, the keyword "transformers" may include two types of cards, namely a toy model type and a movie type, in the preset card library, and the keyword "red beans" may include two types of cards, namely a food type and a song type, in the preset card library, and the types of cards corresponding to the different types of keywords are obviously different. Therefore, in an embodiment, after obtaining the keyword corresponding to the search request, whether the keyword includes a plurality of card types may be determined in the preset card library, if yes, step 204 is continuously performed, and if not, a plurality of card types associated with the keyword may be directly matched in the preset card library.

Step 204, determining a target card type from among a plurality of card types according to the user information.

For example, if the keyword is "a transformer", and the keyword may include two types of cards, namely a toy model type and a movie type, in an embodiment, the type of the card desired by the user may be predicted according to the browsing history information of the user, for example, the number of times of browsing the movie type web page is greater than the number of times of browsing the web page related to the toy in a period of time when the user uses the browser, so that the step of determining the type of the target card from the plurality of types of cards based on the keyword "the transformer" may be predicted, including:

Acquiring browsing history information of a user using the browser;

and determining a target card type from the plurality of card types according to the browsing history information.

Step 205, matching is performed in a preset card library according to the target card type and the keyword, so as to determine a plurality of card styles associated with the keyword and the target card type in the preset card library.

In an embodiment, the preset card library may include a plurality of keywords and respectively associated card styles, where each keyword may be associated with a plurality of card styles, such as a plurality of card styles with different sizes, layouts and designs, so as to have higher diversity when being displayed to the user, and after determining the target card type from the plurality of card types according to the user information, the target card type and the keywords may be matched in the preset card library, so as to determine a plurality of card styles associated with the keywords and the target card type in the preset card library.

Step 206, respectively obtaining the historical click rate of a plurality of card styles in the background of the browser in a preset time period.

In an embodiment, after determining the multiple card styles, for further selecting the target card style that the user likes, reference may be made to the click amounts of a plurality of users using the browser for different card styles, for example, the historical click amounts of the multiple card styles respectively in the background of the browser during a preset period of time, for example, a week, are extracted from the background of the browser.

Step 207, distributing weight values of the multiple card styles according to the historical click quantity, selecting a target card style according to the weight values, and displaying the target card style to a recommendation area of the browser.

For example, the plurality of card patterns may be three, namely, an a card pattern, a B card pattern, and a C card pattern, and the a card pattern is a large-size card pattern, the B card pattern is a medium-size card pattern, and the C card pattern is a small-size card pattern. By analyzing the historical click amounts of other users for the plurality of card patterns respectively in a preset time period, if the number of times of clicking the large-size card pattern by the user is larger than the number of times of clicking the medium-size card pattern, and the number of times of clicking the medium-size card pattern by the user is larger than the number of times of clicking the small-size card pattern, the weight of the A card pattern in the plurality of card patterns is higher than that of the B card pattern, and the weight of the B card pattern is higher than that of the C card pattern. And finally, selecting the A card style with the highest weight as a target card style, and displaying the target card style to a recommendation area of the browser.

Step 208, receiving an instruction for searching the search request through the search engine, closing the target card style according to the instruction, and recalling data according to the keywords.

In an embodiment, if the user is not interested in the generated target card style after seeing the generated target card style, the step of searching is continuously performed, for example, clicking a search button in a browser page, the target card style may be closed, data recall is performed according to keywords, and finally, recall results are displayed on a browser interface.

As can be seen from the foregoing, the data processing method provided in the embodiment of the present application may obtain a search request input in a text input area of a browser, perform word segmentation processing on the search request to obtain a keyword corresponding to the search request, determine whether the keyword includes a plurality of card types in a preset card library, if yes, determine a target card type among the plurality of card types according to user information, match the target card type with the keyword in the preset card library according to the target card type, determine a plurality of card types associated with the keyword and the target card type in the preset card library, respectively obtain historical click amounts of the plurality of card types in a background of the browser in a preset time period, allocate weight values of the plurality of card types according to the historical click amounts, select the target card type according to the weight values, display the target card type to a recommended area of the browser, receive an instruction for searching the search request through a search engine, close the target card type according to the instruction, and recall data according to the keyword. According to the method and the device for displaying the recommended content, after the browser inputs the search request, the keywords are extracted, the browser bypasses the search engine to display the personalized card style according to the keywords, the matching capability of the browser is utilized to display high-quality content for the user, and the diversity of recommended content display is improved.

In order to facilitate better implementation of the data processing method provided by the embodiment of the invention, the embodiment of the invention also provides a device based on the data processing method. Where the meaning of a noun is the same as in the data processing method described above, specific implementation details may be referred to in the description of the method embodiments.

In this embodiment, description will be made in terms of a data processing apparatus which can be integrated in a system composed of a plurality of terminals each of which has a video playing function in a terminal having a storage unit and a display screen mounted.

Referring to fig. 5, fig. 5 is a schematic structural diagram of a data processing apparatus according to an embodiment of the invention. Wherein, the data processing device may include:

an acquisition unit 301 for acquiring a search request input in the browser text input area.

And the word segmentation unit 302 is configured to perform word segmentation processing on the search request, so as to obtain a keyword corresponding to the search request.

And the matching unit 303 is configured to perform matching in a preset card library according to the keyword, so as to determine a plurality of card styles associated with the keyword in the preset card library.

In an embodiment, the preset card library may include a plurality of keywords and card patterns respectively associated with the keywords, where each keyword may be associated with a plurality of card patterns.

In an embodiment, an operation word library may be preset, a plurality of sample words are stored in the operation word library, card patterns respectively associated with the plurality of sample words are stored in the card library, and the card patterns associated with each sample word may be a plurality of card patterns. Therefore, after the keyword corresponding to the search request is obtained, matching can be performed in the operation word stock, and if matching is successful, a plurality of card styles associated with the sample word can be further determined in the card stock according to the matched sample word.

The processing unit 304 is configured to calculate weight values of the multiple card styles, select a target card style according to the weight values, and display the target card style to a recommendation area of the browser.

In an embodiment, as shown in fig. 6, the matching unit 303 may include:

a judging subunit 3031, configured to judge whether the keyword includes a plurality of card types in the preset card library;

a determining subunit 33032 configured to determine, when the judging subunit 3031 judges yes, a target card type among the plurality of card types according to user information;

and the matching subunit 3033 is configured to match in a preset card library according to the target card type and the keyword, so as to determine a plurality of card styles associated with the keyword and the target card type in the preset card library.

In an embodiment, the processing unit 304 may include:

an obtaining subunit 3041, configured to obtain historical click amounts of the plurality of card styles in the background of the browser in a preset period of time respectively;

and an allocation subunit 3042, configured to allocate weight values of the plurality of card styles according to the historical click volumes.

As can be seen from the foregoing, according to the embodiment of the present invention, a search request input in a text input area of a browser may be obtained, the search request may be subjected to word segmentation processing, a keyword corresponding to the search request may be obtained, the keyword may be matched in a preset card library, so as to determine a plurality of card styles associated with the keyword in the preset card library, weight values of the plurality of card styles may be calculated, a target card style may be selected according to the weight values, and the target card style may be displayed in a recommended area of the browser. According to the method and the device for displaying the recommended content, after the browser inputs the search request, the keywords are extracted, the browser bypasses the search engine to display the personalized card style according to the keywords, the matching capability of the browser is utilized to display high-quality content for the user, and the diversity of recommended content display is improved.

An embodiment of the present invention further provides an electronic device, as shown in fig. 7, where the electronic device may include a Radio Frequency (RF) circuit 601, a memory 602 including one or more computer readable storage media, an input unit 603, a display unit 604, a sensor 605, an audio circuit 606, a wireless fidelity (WiFi, wireless Fidelity) module 607, a processor 608 including one or more processing cores, and a power supply 609. It will be appreciated by those skilled in the art that the electronic device structure shown in fig. 7 is not limiting of the electronic device and may include more or fewer components than shown, or may combine certain components, or a different arrangement of components. Wherein:

The RF circuit 601 may be used for receiving and transmitting signals during a message or a call, and in particular, after receiving downlink information of a base station, the downlink information is processed by one or more processors 608; in addition, data relating to uplink is transmitted to the base station. Typically, RF circuitry 601 includes, but is not limited to, an antenna, at least one amplifier, a tuner, one or more oscillators, a subscriber identity module (SIM, subscriber Identity Module) card, a transceiver, a coupler, a low noise amplifier (LNA, low Noise Amplifier), a duplexer, and the like. In addition, the RF circuitry 601 may also communicate with networks and other devices through wireless communications. The wireless communication may use any communication standard or protocol including, but not limited to, global system for mobile communications (GSM, global System of Mobile communication), general packet radio service (GPRS, general Packet Radio Service), code division multiple access (CDMA, code Division Multiple Access), wideband code division multiple access (WCDMA, wideband Code Division Multiple Access), long term evolution (LTE, long Term Evolution), email, short message service (SMS, short Messaging Service), and the like.

The memory 602 may be used to store software programs and modules, and the processor 608 may execute various functional applications and information processing by executing the software programs and modules stored in the memory 602. The memory 602 may mainly include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program (such as a sound playing function, an image playing function, etc.) required for at least one function, and the like; the storage data area may store data created according to the use of the electronic device (such as audio data, phonebooks, etc.), and the like. In addition, the memory 602 may include high-speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other volatile solid-state storage device. Accordingly, the memory 602 may also include a memory controller to provide access to the memory 602 by the processor 608 and the input unit 603.

The input unit 603 may be used to receive input numeric or character information and to generate keyboard, mouse, joystick, optical or trackball signal inputs related to user settings and function control. In particular, in one particular embodiment, the input unit 603 may include a touch-sensitive surface, as well as other input devices. The touch-sensitive surface, also referred to as a touch display screen or a touch pad, may collect touch operations thereon or thereabout by a user (e.g., operations thereon or thereabout by a user using any suitable object or accessory such as a finger, stylus, etc.), and actuate the corresponding connection means according to a predetermined program. Alternatively, the touch-sensitive surface may comprise two parts, a touch detection device and a touch controller. The touch detection device detects the touch azimuth of a user, detects a signal brought by touch operation and transmits the signal to the touch controller; the touch controller receives touch information from the touch detection device and converts it into touch point coordinates, which are then sent to the processor 608, and can receive commands from the processor 608 and execute them. In addition, touch sensitive surfaces may be implemented in a variety of types, such as resistive, capacitive, infrared, and surface acoustic waves. The input unit 603 may comprise other input devices in addition to a touch sensitive surface. In particular, other input devices may include, but are not limited to, one or more of a physical keyboard, function keys (such as volume control keys, switch keys, etc.), a trackball, mouse, joystick, etc.

The display unit 604 may be used to display information entered by a user or provided to a user as well as various graphical user interfaces of the electronic device, which may be composed of graphics, text, icons, video, and any combination thereof. The display unit 604 may include a display panel, which may be optionally configured in the form of a liquid crystal display (LCD, liquid Crystal Display), an Organic Light-Emitting Diode (OLED), or the like. Further, the touch-sensitive surface may overlay a display panel, and upon detection of a touch operation thereon or thereabout, the touch-sensitive surface is passed to the processor 608 to determine the type of touch event, and the processor 608 then provides a corresponding visual output on the display panel based on the type of touch event. Although in fig. 7 the touch sensitive surface and the display panel are implemented as two separate components for input and output functions, in some embodiments the touch sensitive surface may be integrated with the display panel to implement the input and output functions.

The electronic device may also include at least one sensor 605, such as a light sensor, a motion sensor, and other sensors. In particular, the light sensor may include an ambient light sensor that may adjust the brightness of the display panel according to the brightness of ambient light, and a proximity sensor that may turn off the display panel and/or backlight when the electronic device is moved to the ear. As one of the motion sensors, the gravity acceleration sensor can detect the acceleration in all directions (generally three axes), and can detect the gravity and the direction when the mobile phone is stationary, and can be used for applications of recognizing the gesture of the mobile phone (such as horizontal and vertical screen switching, related games, magnetometer gesture calibration), vibration recognition related functions (such as pedometer and knocking), and the like; other sensors such as gyroscopes, barometers, hygrometers, thermometers, infrared sensors, etc. that may also be configured with the electronic device are not described in detail herein.

Audio circuitry 606, speakers, and a microphone may provide an audio interface between the user and the electronic device. The audio circuit 606 may transmit the received electrical signal after audio data conversion to a speaker, where the electrical signal is converted to a sound signal for output; on the other hand, the microphone converts the collected sound signals into electrical signals, which are received by the audio circuit 606 and converted into audio data, which are processed by the audio data output processor 608 for transmission via the RF circuit 601 to, for example, another electronic device, or which are output to the memory 602 for further processing. The audio circuit 606 may also include an ear bud jack to provide communication of the peripheral ear bud with the electronic device.

WiFi belongs to a short-distance wireless transmission technology, and the electronic equipment can help a user to send and receive emails, browse webpages, access streaming media and the like through the WiFi module 607, so that wireless broadband Internet access is provided for the user. Although fig. 7 shows a WiFi module 607, it is understood that it does not belong to the necessary constitution of the electronic device, and can be omitted entirely as needed within the scope not changing the essence of the invention.

The processor 608 is a control center of the electronic device that uses various interfaces and lines to connect the various parts of the overall handset, performing various functions of the electronic device and processing the data by running or executing software programs and/or modules stored in the memory 602, and invoking data stored in the memory 602, thereby performing overall detection of the handset. Optionally, the processor 608 may include one or more processing cores; preferably, the processor 608 may integrate an application processor that primarily handles operating systems, user interfaces, applications, etc., with a modem processor that primarily handles wireless communications. It will be appreciated that the modem processor described above may not be integrated into the processor 608.

The electronic device also includes a power supply 609 (e.g., a battery) for powering the various components, which may be logically connected to the processor 608 via a power management system so as to perform functions such as managing charge, discharge, and power consumption via the power management system. The power supply 609 may also include one or more of any components, such as a direct current or alternating current power supply, a recharging system, a power failure detection circuit, a power converter or inverter, a power status indicator, and the like.

Although not shown, the electronic device may further include a camera, a bluetooth module, etc., which will not be described herein. Specifically, in this embodiment, the processor 608 in the electronic device loads executable files corresponding to the processes of one or more application programs into the memory 602 according to the following instructions, and the processor 608 executes the application programs stored in the memory 602, so as to implement various functions:

acquiring a search request input in a text input area of a browser;

In the foregoing embodiments, the descriptions of the embodiments are focused on, and the portions of a certain embodiment that are not described in detail may be referred to the above detailed description of the data processing method, which is not repeated herein.

As can be seen from the above, the electronic device according to the embodiment of the present invention may obtain a search request input in a text input area of a browser, perform word segmentation processing on the search request to obtain a keyword corresponding to the search request, match the keyword in a preset card library according to the keyword, determine a plurality of card styles associated with the keyword in the preset card library, respectively calculate weight values of the plurality of card styles, select a target card style according to the weight values, and display the target card style to a recommended area of the browser. According to the method and the device for displaying the recommended content, after the browser inputs the search request, the keywords are extracted, the browser bypasses the search engine to display the personalized card style according to the keywords, the matching capability of the browser is utilized to display high-quality content for the user, and the diversity of recommended content display is improved.

Those of ordinary skill in the art will appreciate that all or a portion of the steps of the various methods of the above embodiments may be performed by instructions, or by instructions controlling associated hardware, which may be stored in a computer-readable storage medium and loaded and executed by a processor.

To this end, an embodiment of the present invention provides a storage medium having stored therein a plurality of instructions capable of being loaded by a processor to perform steps in any of the data processing methods provided by the embodiments of the present invention. For example, the instructions may perform the steps of:

acquiring a search request input in a text input area of a browser;

The specific implementation of each operation above may be referred to the previous embodiments, and will not be described herein.

Wherein the storage medium may include: read Only Memory (ROM), random access Memory (RAM, random Access Memory), magnetic or optical disk, and the like.

The instructions stored in the storage medium may perform steps in any data processing method provided by the embodiments of the present invention, so that the beneficial effects that any data processing method provided by the embodiments of the present invention can be achieved, which are detailed in the previous embodiments and are not described herein.

The foregoing has described in detail the data processing method and apparatus provided by the embodiments of the present invention, and specific examples have been applied herein to illustrate the principles and embodiments of the present invention, and the above description of the embodiments is only for aiding in the understanding of the method and core idea of the present invention; meanwhile, as those skilled in the art will have variations in the specific embodiments and application scope in light of the ideas of the present invention, the present description should not be construed as limiting the present invention.

Claims

1. A method of data processing, the method comprising:

acquiring a search request input in a text input area of a browser;

Performing word segmentation processing on the search request through intention recognition to obtain keywords corresponding to the search request; wherein the intent recognition comprises: a word list exhaustion method, a rule analysis method or a machine learning method; the vocabulary exhaustion method is to obtain the query intention by means of direct vocabulary matching; the rule analysis method is to perform word segmentation on the data retrieval request to obtain a plurality of candidate words, and then perform intention recognition based on the candidate words; the machine learning method is to calculate the probability of each intention according to a statistical classification model for the query input by a user, and finally give the intention of the query;

matching is carried out in a preset card library according to the keywords so as to determine a plurality of card patterns associated with the keywords in the preset card library, and the method comprises the following steps: when judging that the keyword comprises a plurality of card types in the preset card library, acquiring browsing history information of a user using the browser; determining a target card type among the plurality of card types according to the browsing history information; matching in a preset card library according to the target card type and the keyword to determine a plurality of card patterns associated with the keyword and the target card type in the preset card library;

Respectively acquiring historical click amounts of the card patterns in the background of the browser within a preset time period; and distributing the weight values of the plurality of card styles according to the historical click quantity, selecting a target card style according to the weight values, and displaying the target card style to a recommendation area of the browser.

2. The data processing method according to claim 1, wherein after performing word segmentation processing on the search request to obtain a keyword corresponding to the search request, the method further comprises:

3. The data processing method according to claim 1, wherein the step of displaying the target card style to the recommended region of the browser if the keyword corresponding to the search request is plural, comprises:

4. The data processing method according to claim 1, wherein after presenting the target card style to the recommended region of the browser, the method further comprises:

receiving an instruction for searching the search request through a search engine;

and closing the target card style according to the instruction, and carrying out data recall according to the keyword.

5. A data processing apparatus, comprising:

the word segmentation unit is used for carrying out word segmentation processing on the search request through intention recognition to obtain keywords corresponding to the search request; wherein the intent recognition comprises: a word list exhaustion method, a rule analysis method or a machine learning method; the vocabulary exhaustion method is to obtain the query intention by means of direct vocabulary matching; the rule analysis method is to perform word segmentation on the data retrieval request to obtain a plurality of candidate words, and then perform intention recognition based on the candidate words; the machine learning method is to calculate the probability of each intention according to a statistical classification model for the query input by a user, and finally give the intention of the query;

the processing unit is used for respectively calculating weight values of the plurality of card patterns, selecting a target card pattern according to the weight values and displaying the target card pattern to a recommendation area of the browser;

wherein the matching unit includes:

the judging subunit is used for judging whether the keyword comprises a plurality of card types in the preset card library;

a determining subunit, configured to obtain browsing history information of a user using the browser when the judging subunit judges that the browser is used; determining a target card type among the plurality of card types according to the browsing history information;

the matching subunit is used for matching in a preset card library according to the target card type and the keywords so as to determine a plurality of card patterns associated with the keywords and the target card type in the preset card library;

the processing unit includes:

the acquisition subunit is used for respectively acquiring the historical click quantity of the card patterns in the background of the browser in a preset time period;

And the distribution subunit is used for distributing the weight values of the card patterns according to the historical click quantity.

6. A storage medium storing a plurality of instructions adapted to be loaded by a processor to perform the steps of the method of any one of claims 1 to 4.

7. An electronic device, comprising: a memory, a processor and a data processing program stored on the memory and executable on the processor, the data processing program when executed by the processor implementing the method of any one of claims 1 to 4.