CN112925878A

CN112925878A - Data processing method and device

Info

Publication number: CN112925878A
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: 2021-06-08
Anticipated expiration: 2039-12-06
Also published as: CN112925878B

Abstract

The embodiment of the invention discloses a data processing method and a data processing device. The embodiment of the invention can acquire the retrieval request input in the text input area of the browser, perform word segmentation processing on the retrieval request to obtain the keyword corresponding to the retrieval request, perform matching in the preset card library according to the keyword to determine a plurality of card styles associated with the keyword in the preset card library, respectively calculate the weight values of the card styles, select the target card style according to the weight values and display the target card style to the recommendation area of the browser. According to the method and the device, the keywords can be extracted after the browser inputs the retrieval request, the browser bypasses a search engine to display the personalized card style according to the keywords, the high-quality content is displayed for the user by utilizing the matching capability of the browser, 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

At present, when a user searches a target file, the user can search the target file by using a search engine such as Baidu or Google and the like through the name of the target file or a fuzzy query search term, and the search is carried out one by one in webpage information displaying a search result; the user can also browse the portal website containing the target file and search the required target file in the file library of the portal website.

In the existing internet search service, a search engine retrieves relevant records matched with user query conditions from a database established by extracting information of each website from the internet, and then 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 device, aiming at displaying card styles associated with keywords in a retrieval request, customizing recommended contents in a personalized manner and improving diversity.

In order to solve the above technical problems, embodiments of the present invention provide the following technical solutions:

a method of data processing, the method comprising:

acquiring a retrieval request input in a browser text input area;

performing word segmentation processing on the retrieval request to obtain a keyword corresponding to the retrieval request;

matching in a preset card library according to the keywords to determine a plurality of card styles related to the keywords in the preset card library;

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

A data processing apparatus comprising:

the system comprises an acquisition unit, a search unit and a display unit, wherein the acquisition unit is used for acquiring a search request input in a browser text input area;

the word segmentation unit is used for performing word segmentation processing on the retrieval request to obtain a keyword corresponding to the retrieval 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 styles related to the keywords in the preset card library;

and the processing unit is used for respectively calculating the weight values of the plurality of card styles, selecting a target card style according to the weight values and displaying the target card style to a recommendation 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 above data processing method.

An electronic device, comprising: the data processing system comprises a memory, a processor and a data processing program which is stored on the memory and can run on the processor, wherein when the data processing program is executed by the processor, any data processing method provided by the embodiment of the invention is realized.

The method and the device for searching the browser text input area can acquire the search request input in the browser text input area, perform word segmentation processing on the search request to obtain the keywords corresponding to the search request, match the keywords in the preset card library to determine a plurality of card styles associated with the keywords in the preset card library, respectively calculate the weight values of the card styles, select the target card style according to the weight values and display the target card style to the recommendation area of the browser. According to the method and the device, the keywords can be extracted after the browser inputs the retrieval request, the browser bypasses a search engine to display the personalized card style according to the keywords, the high-quality content is displayed for the user by utilizing the matching capability of the browser, and the diversity of recommended content display is improved.

Drawings

In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.

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

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

FIG. 3 is a schematic view of a search interface of a browser provided by an embodiment of the present invention;

fig. 4 is another schematic flow chart of a data processing method according to an embodiment of the present application;

FIG. 5 is a schematic structural 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 technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.

Reference herein to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment can be included in at least one embodiment of the invention. The appearances of the phrase 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. It is explicitly and implicitly understood by one skilled in the art that the embodiments described herein can be combined with other embodiments.

An execution main body of the data processing method may be the data processing apparatus provided in the embodiment of the present invention, or a server integrated with the data processing apparatus, where the data processing apparatus may be implemented in a hardware or software manner.

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, such as the terminal 10 may be a terminal based on an android system or a terminal based on an IOS system, and may also be a PC based on a Windows system or a MAC system, and so on. The terminal 10 and the server 20 may be connected via a communication network, which may include a wireless network including 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, as well as a wired network. The network includes network entities such as routers, gateways, etc., which are not shown in the figure. The terminal 10 may interact with the server 20 via a communication network, such as downloading applications from the server 20.

The data processing system may include a data processing apparatus, which may be specifically integrated in a terminal having computing capability, such as a tablet computer, a television, a mobile phone, a notebook computer, a desktop computer, and the like, which has a storage unit and is installed with a microprocessor, 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 retrieval request through a browser application, send the retrieval request to the server 20, and receive a target card style and a corresponding configuration file returned by the server 20 according to the retrieval request, and after receiving the configuration file, the terminal 10 may render and display the target card style.

The data processing system may further include a server 20, which is mainly configured to receive a search request sent by the terminal 10, perform word segmentation on the search request to obtain a keyword, perform matching to multiple card styles in the card library, and finally select a target card style from the multiple card styles 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 styles, so that the server may match the keyword of the search request from the memory according to the card library, and finally transmit the matched target card style to the terminal 10.

It should be noted that the scenario diagram of the data processing system shown in fig. 1 is merely an example, and the data processing system and the scenario described in the embodiment of the present invention are for more clearly illustrating the technical solution of the embodiment of the present invention, and do not form a limitation on the technical solution provided in the embodiment of the present invention.

The following are detailed below. The numbers in the following examples are not intended to limit the order of preference of the examples.

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

A method of data processing, comprising:

acquiring a retrieval request input in a browser text input area;

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

in step 101, a retrieval request for input in a browser text input area is obtained.

In an embodiment, the search request may be text information input by a user. In specific implementation, a user can input text information through a text input area of a browser in the terminal equipment. For example, the terminal device may display a text input area, the text input area is provided with a text input control, and a user may input text information through the text input control, so as to realize human-computer interaction with the device. For example, a search entry provided by a browser navigation page is provided to a user in the form of a search box, and the user only needs to enter text information in the search box as a retrieval request.

In an embodiment, when the user inputs the text information, the user may input the text information in a plurality of input manners, for example, the text information may be input, and the text information may also be input in a voice information manner. Accordingly, after receiving the voice message, the device may convert the voice message into text message as a retrieval request. For example, a large amount of speech information and text information corresponding to the speech information may be used to train an acoustic model (e.g., a hidden markov model), and after the acoustic model is trained, in a case of receiving speech information input by a user, the trained acoustic model may be used to recognize the speech information, so as to obtain text information corresponding to the speech information input by the user, so as to serve as a search request. Or, the electronic device may also directly convert the acquired voice information into text information by using an existing voice recognition product, which is not described herein again.

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

In other embodiments, the recommended content may also be news hotspots of the current day, for example, the news hotspots may be ranked according to network popularity, and then a preset number of news hotspots are selected as recommended content according to the ranking result, so as to be displayed in a list form below the text input area of the browser.

In step 102, the search request is participled to obtain a keyword corresponding to the search request.

In one embodiment, if the search request input by the user is a word, such as banana, puppy, 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 needs to be performed on the sentence to obtain a corresponding keyword. It should be noted that the above-mentioned keyword may be one or multiple keywords, for example, if the user inputs a search request of "how much money is spent on the XX cell phone of the XX shopping website" in the search box of the browser, the keywords obtained after the word segmentation processing may be the "XX website" and the "XX cell phone".

In one embodiment, the search request may be segmented by intent recognition to obtain keywords, where the intent recognition refers to understanding the user intent and requirement by parsing and analyzing the user query words. The method for identifying the intention can be various, such as a word list exhaustion method, a rule parsing method, a machine learning method and the like.

The term list exhaustion method obtains the query intention by a direct word list matching method, and meanwhile, categories which are relatively simple and have relatively concentrated query modes, such as query terms, can be added: german [ addr ] Aitamei [ brand ] milk powder [ product ] three-stage [ attr ]. And (3) query mode: [ brand ] + [ product ]; product + attr; [ brand ] + [ product ] + [ attr ]. Of course, the query pattern can be made unordered. The intention recognition mode is simple to realize and can accurately solve high-frequency words. Since query generally satisfies 20/80's law, 20% of queries occupy 80% of the search traffic. However, 80% of long tail queries cannot be resolved in this way, i.e. the recall in identifying intent may only account for 20%. Meanwhile, more manual participation is needed, and automation is difficult to realize.

The rule analysis method is more suitable for inquiring the categories which are very consistent with the rules, and the intention of the inquiry is obtained in a rule analysis mode. Such as: the price of the air ticket from Beijing to Shanghai today can be converted into the price of [ site ] to [ site ] [ date ] [ bus ticket/air ticket/train ticket ], such as: 1 ton equals how many kilograms, it can be converted to [ number ] [ units of measure ] equals [ number ] [ units of measure ]. The method for identifying the intention by the aid of the rule has high identification precision on the query with high regularity, and accurate information can be extracted well. Namely, the data retrieval request is subjected to word segmentation processing to obtain a plurality of candidate words, and then intention recognition is performed based on the candidate words.

The machine learning method is that for the query input by the user, the probability of each intention is calculated according to the statistical classification model, and finally the intention of the query is given. Specifically, the system may decompose the data retrieval request into corresponding word sequences, then input the word sequences into the intent recognition component to obtain the codes of the data retrieval request and the intentions of the data retrieval request, determine the coding input type of the data retrieval request by the component, fill the slot positions of the word sequences, add constraints to the attributes of each word in the word sequences by the type selection component, and finally obtain the decoding of the word sequences, that is, the attributes of each word in the word sequences. Wherein, the intention identification component group can comprise a bidirectional long-short term memory network model (BilSTM) and an intention Attention model (Attention), the type determination component can comprise a Slot-Gate model (Slot-Gate), and the type selection component can be a Conditional Random Field (CRF).

In step 103, matching is performed in the preset card library according to the keywords 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 different sizes, layouts and designs of the various card styles, and is intended to have higher diversity when being displayed to a user, and after obtaining the keyword corresponding to the search request through the word segmentation process, the keyword may be matched with the corresponding card styles in the preset card library according to the keyword.

In an embodiment, if the obtained search request after the word segmentation has a plurality of keywords, the plurality of keywords may be respectively matched in a preset card library to obtain a plurality of card styles associated with the plurality of keywords respectively. In other embodiments, if the number of the keywords corresponding to the search request obtained after the word segmentation is multiple, the target keywords may be further determined, for example, the target keywords are selected according to the weights of the 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 bank may be further preset, where a plurality of sample words are stored in the operation word bank, and card styles respectively associated with the plurality of sample words are stored in the card bank, where the number of card styles associated with each sample word may be multiple. Therefore, after the keywords corresponding to the search request are obtained, matching can be performed in the operation word bank, and if matching is successful, a plurality of card styles related to the sample words can be further determined in the card bank according to the matched sample words. If the matching fails in the operation word library, the matching does not need to be further performed in the card library, and the current process is ended, so that the operation can be reduced, and the matching efficiency can be improved. That is, after performing word segmentation processing on the search request to obtain a keyword corresponding to the search request, the method further includes:

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

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

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

In one embodiment, after determining the plurality of card styles, in order to further select a target card style preferred by the user, the plurality of card styles may be weighted according to the history information of clicking other cards by the user. For example, the plurality of card styles may be three, which are an a card style, a B card style and a C card style, and are three card styles of different sizes, respectively, where the a card style is a large-size card style, the B card style is a medium-size card style, and the C card style is a small-size card style, and when a user uses a browser, each time the user clicks the card, the card is counted in history information, so that after obtaining the history information of the user clicking the card in a period of time, the number of times the user clicks the three-size card styles in the period of time may be counted, and if the number of times the user clicks the large-size card style is greater than the number of times the user clicks the medium-size card style, and the number of times the user clicks the medium-size card style is greater than the number of times the user clicks the small-size card style, the weight of the a card style among the plurality of card styles may be, and the weight of the B card style is higher than that of the C card style, and finally the A card style with the highest weight can be selected as a target card style and the target card style is displayed to a recommendation area of the browser.

In an embodiment, if there are a plurality of keywords corresponding to the search request, the target card styles corresponding to the plurality of keywords can be obtained after matching and weighted screening. At this time, the target card styles may be sorted, for example, the click amounts of the target card styles may be sorted according to the background statistics of the browser by the user on the whole network, and then the target card styles may be sequentially displayed according to the sorting result. In other embodiments, two or three target card styles with the highest ranking may be selected for display, so as to avoid the problems of disordered display of the browser interface and the like. Namely, if there are a plurality of keywords corresponding to the search request, the step of presenting the target card style to the recommended area of the browser includes:

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

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

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

Referring to fig. 3, fig. 3 is a schematic view of a browser search interface according to an embodiment of the present invention. The user inputs a keyword in the XX browser search box for query, for example, the XX browser is searched for intercepting the search word and matching the keyword, and before matching, recommended information and information flow can be displayed by default. And feeding back the matching result to a recommendation list for the intercepted keywords, rapidly finding a plurality of card styles matched with the keyword types by comparing the word libraries of the keyword types, and then selecting the target card style for display. In this process, customized recommendations may be made to certain business partners. For example, a user inputs keywords, the keywords are firstly classified into a mall category, a corresponding card style is matched through the mall category, the results are displayed, manual intervention is performed through cms, customized intervention can be performed on a search result card according to the keywords, and the user is induced to click on card activities in different styles.

As can be seen from the above, 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 on the search request to obtain a keyword corresponding to the search request, perform matching in a preset card library according to the keyword to determine a plurality of card styles associated with the keyword in the preset card library, calculate weight values of the plurality of card styles respectively, 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, the keywords can be extracted after the browser inputs the retrieval request, the browser bypasses a search engine to display the personalized card style according to the keywords, the high-quality content is displayed for the user by utilizing the matching capability of the browser, and the diversity of recommended content display is improved.

The following examples are further detailed with reference to the data processing method described in the previous embodiment.

In the present embodiment, the data processing apparatus will be described by taking as an example that it is specifically integrated in a terminal.

Referring to fig. 4, fig. 4 is another schematic flow chart of a data processing method according to an embodiment of the invention. The method flow can comprise the following steps:

step 201, a retrieval request input in a browser text input area is obtained.

In an embodiment, when the user inputs the text information, the user may input the text information in a plurality of input manners, for example, the text information may be input, and the text information may also be input in a voice information manner. Accordingly, after receiving the voice message, the device may convert the voice message into text message as a retrieval request.

Step 202, performing word segmentation processing on the retrieval request to obtain a keyword corresponding to the retrieval request.

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 needs to be performed on the sentence to obtain a corresponding keyword. One or more keywords may be used.

In an embodiment, before performing the word segmentation processing on the search request, the search request may also be preprocessed, for example, performing query rewrite on the search request, where the query rewrite includes: query error correction, query expansion, query deletion, and query conversion. The query rewrite in the embodiment mainly includes query extension, query deletion and query conversion. The query expansion is specifically to expand or fill a sentence input by a user, and specifically may be based on synonyms or context, for example, after the user first inputs "weather inquiring on Shenzhen" and receives the relevant response information, then inputs "woolen cloth of Guangzhou". It is clear that Guangzhou also needs to inquire about weather. Thus, current natural language information may be populated based on historical information input to refine current input requests. Still taking the above-mentioned "woolen of Guangzhou" as an example, the "inquiry" and "weather" can be extracted from the above information "weather of inquiring Shenzhen", and the "woolen of Guangzhou" is filled with information. And then, based on the incidence relation among the keywords in the information, the sentence filled with the information is subjected to word order adjustment to obtain a complete sentence. For example, taking "guangzhou woolen cloth" as an example, the information filling and the word order adjustment may be performed as "query for weather in guangzhou".

The query deletion general application scenario is that when too many queries are input by a user, the queries cannot be recalled normally, and the queries of the user can be screened in a word-missing manner, so that the most relevant commodities are recalled. For example, when the query of the user is "XX fruit oatmeal", since the product may be off-shelf or the product types are few, the query is deleted, and the original query can be rewritten into "fruit oatmeal", so that fruit oatmeal of other brands can be recalled. query deletion requires entity identification, because it is decided which data in the query is deleted with minimal effect on the original intent of the user. Like "XX fruit oatmeal," it is intended to identify that "XX" is a brand, "fruit oatmeal" is a product, and it is clear that fruit oatmeal is more desirable to the user than other types of oatmeal "XX".

The query conversion is performed when the query input by the user cannot be recalled. For example, a user searches for "grandma dragon" at a shopping site that does not have the item. Nor can the original query be processed by query synonym expansion and query deletion. Through session data, it can be found that a query of "grandma dragon" appears along with a query of "perfume" after a user searches for the "grandma dragon", and two queries of "grandma dragon" and "perfume" can be mined out to be related by utilizing user behavior data. When the user searches for the 'grandma dragon' and cannot recall, the query can be converted into 'perfume' to meet the requirements of the user as much as possible.

Step 203, determining whether the keyword includes a plurality of card types in a 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 styles corresponding to different card types are also different. For example, the keyword "transformers" may include two card types, i.e., a toy model type and a movie type, in the preset card library, and for example, the keyword "red beans" may include two card types, i.e., a food type and a song type, in the preset card library, and the card types corresponding to the different types of keywords are obviously different. Therefore, in an embodiment, after obtaining the keyword corresponding to the search request, it may be determined whether the keyword includes a plurality of card types 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 among the plurality of card types according to the user information.

For example, if the keyword is "transformers", and the keyword may include two card types, i.e., a toy model type and a movie type, in an embodiment, the card type desired by the user may be predicted according to browsing history information of the user, for example, the number of times of browsing a movie-tv-type web page is greater than that of browsing a web page related to the toy within a period of time when the user uses the browser, so that it may be predicted that the user desires the movie-tv-type card type based on the keyword "transformers", that is, the step of determining the target card type among the multiple card types according to the user information includes:

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.

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 different sizes, layouts and designs of the plurality of card styles, and is intended to have higher diversity when being displayed to a user.

And step 206, respectively acquiring historical click volumes of a plurality of card styles in the browser background in a preset time period.

In an embodiment, after the plurality of card styles are determined, to further select a target card style preferred by the user, the click volumes of a plurality of users using the browser for different card styles may be referred to, for example, historical click volumes for the plurality of card styles in the browser background within a preset time period, such as one week, are extracted from the background of the browser.

And step 207, distributing the weight values of a plurality of card styles according to the historical click rate, 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 styles may be three, which are an a card style, a B card style and a C card style, and are three card styles of different sizes, where the a card style is a large size card style, the B card style is a medium size card style, and the C card style is a small size card style. By analyzing the historical click amounts of other users for the plurality of card styles within a preset time period, if the times of clicking the large-size card style by the user are greater than the times of clicking the medium-size card style by the user, and the times of clicking the medium-size card style by the user are greater than the times of clicking the small-size card style by the user, the weight of the A card style in the plurality of card styles can be set to be higher than that of the B card style, and the weight of the B card style is higher than that of the C card style. And finally, selecting the A card style with the highest weight as a target card style and displaying the target card style to a recommended area of the browser.

And step 208, receiving an instruction for retrieving the retrieval 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 does not have interest after seeing the generated target card style, the step of searching is continuously executed, for example, a search button in a browser page is clicked, the target card style can be closed, data recall is performed according to the keywords, and finally a recall result is displayed on a browser interface.

As can be seen from the above, the data processing method provided in this 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, perform matching in the preset card library according to the target card type and the keyword to 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 browser background within a preset time period, allocate weighted values of the plurality of card types according to the historical click amounts, select the target card type according to the weighted values, and display the target card type to a recommended area of the browser, and receiving an instruction for retrieving the retrieval request through the search engine, closing the target card style according to the instruction, and recalling data according to the keywords. According to the method and the device, the keywords can be extracted after the browser inputs the retrieval request, the browser bypasses a search engine to display the personalized card style according to the keywords, the high-quality content is displayed for the user by utilizing the matching capability of the browser, and the diversity of recommended content display is improved.

In order to better implement the data processing method provided by the embodiment of the present invention, an embodiment of the present invention further provides a device based on the data processing method. The terms are the same as those in the data processing method, and details of implementation can be referred to the description in the method embodiment.

In the present embodiment, description will be made from the viewpoint of a data processing apparatus that can be integrated specifically into a system composed of a plurality of terminals each having a video playback function in a terminal having a storage unit and a display screen mounted thereon.

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

an obtaining unit 301, configured to obtain a retrieval request input in a browser text input area.

A word segmentation unit 302, configured to perform word segmentation processing on the search request to obtain a keyword corresponding to the search request.

The matching unit 303 is configured to perform matching in a preset card library according to the keyword 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 respectively associated card styles, wherein each keyword may be associated with a plurality of card styles.

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

The processing unit 304 is configured to 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 recommendation area of the browser.

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

a determining subunit 3031, configured to determine, in the preset card library, whether the keyword includes multiple card types;

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

a matching subunit 3033, configured to perform matching 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 volumes of the multiple card styles in the browser background within a preset time period, respectively;

an assigning subunit 3042, configured to assign the weight values of the plurality of card styles according to the historical click volume.

As can be seen from the above, in the embodiment of the present invention, a search request input in a text input area of a browser may be obtained, a word segmentation process may be performed on the search request to obtain a keyword corresponding to the search request, matching may be performed in a preset card library according to the keyword 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 respectively 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, the keywords can be extracted after the browser inputs the retrieval request, the browser bypasses a search engine to display the personalized card style according to the keywords, the high-quality content is displayed for the user by utilizing the matching capability of the browser, 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, which may include 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) module 607, a processor 608 including one or more processing cores, and a power supply 609. Those skilled in the art will appreciate that the electronic device configuration shown in fig. 7 does not constitute a limitation of the electronic device and may include more or fewer components than shown, or some components may be combined, or a different arrangement of components. Wherein:

the RF circuit 601 may be used for receiving and transmitting signals during a message transmission or communication process, and in particular, for receiving downlink messages from a base station and then processing the received downlink messages by one or more processors 608; in addition, data relating to uplink is transmitted to the base station. In general, the RF circuit 601 includes, but is not limited to, an antenna, at least one Amplifier, a tuner, one or more oscillators, a Subscriber Identity Module (SIM) card, a transceiver, a coupler, a Low Noise Amplifier (LNA), a duplexer, and the like. In addition, the RF circuit 601 may also communicate with networks and other devices via wireless communications. The wireless communication may use any communication standard or protocol, including but not limited to Global System for Mobile communications (GSM), General Packet Radio Service (GPRS), Code Division Multiple Access (CDMA), Wideband Code Division Multiple Access (WCDMA), Long Term Evolution (LTE), email, Short Message Service (SMS), and the like.

The memory 602 may be used to store software programs and modules, and the processor 608 executes various functional applications and information processing by operating the software programs and modules stored in the memory 602. The memory 602 may mainly include a program storage area and a data storage area, wherein the program storage area may store an operating system, an application program required by at least one function (such as a sound playing function, an image playing function, etc.), and the like; the storage data area may store data (such as audio data, a phonebook, etc.) created according to the use of the electronic device, and the like. Further, 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 the processor 608 and the input unit 603 access to the memory 602.

The input unit 603 may be used to receive input numeric or character information and generate keyboard, mouse, joystick, optical or trackball signal inputs related to user settings and function control. In particular, in one particular embodiment, 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 by a user (e.g., operations by a user on or near the touch-sensitive surface using a finger, a stylus, or any other suitable object or attachment) thereon or nearby, and drive the corresponding connection device according to a predetermined program. Alternatively, the touch sensitive surface may comprise two parts, a touch detection means and a touch controller. The touch detection device detects the touch direction of a user, detects a signal brought by touch operation and transmits the signal to the touch controller; the touch controller receives touch information from the touch sensing device, converts the touch information into touch point coordinates, sends the touch point coordinates to the processor 608, and can receive and execute commands sent by the processor 608. In addition, touch sensitive surfaces may be implemented using various types of resistive, capacitive, infrared, and surface acoustic waves. The input unit 603 may include other input devices in addition to the 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, a mouse, a joystick, and the like.

The display unit 604 may be used to display information input by or provided to a user and various graphical user interfaces of the electronic device, which may be made up of graphics, text, icons, video, and any combination thereof. The Display unit 604 may include a Display panel, and optionally, the Display panel may be configured in the form of a Liquid Crystal Display (LCD), an Organic Light-Emitting Diode (OLED), or the like. Further, the touch-sensitive surface may overlay the display panel, and when a touch operation is detected on or near the touch-sensitive surface, the touch operation is transmitted 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 according to the type of touch event. Although in FIG. 7 the touch-sensitive surface and the display panel are two separate components to implement input and output functions, in some embodiments the touch-sensitive surface may be integrated with the display panel to implement input and output functions.

The electronic device may also include at least one sensor 605, such as a light sensor, 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 the backlight when the electronic device is moved to the ear. As one of the motion sensors, the gravity acceleration sensor can detect the magnitude of acceleration in each direction (generally, three axes), can detect the magnitude and direction of gravity when the mobile phone is stationary, and can be used for applications of recognizing the posture of the mobile phone (such as horizontal and vertical screen switching, related games, magnetometer posture calibration), vibration recognition related functions (such as pedometer and tapping), and the like; as for other sensors such as a gyroscope, a barometer, a hygrometer, a thermometer, and an infrared sensor, which may be further configured to the electronic device, detailed descriptions thereof are omitted.

Audio circuitry 606, a speaker, and a microphone may provide an audio interface between a user and the electronic device. The audio circuit 606 may transmit the electrical signal converted from the received audio data to a speaker, and convert the electrical signal into a sound signal for output; on the other hand, the microphone converts the collected sound signal into an electrical signal, which is received by the audio circuit 606 and converted into audio data, which is then processed by the audio data output processor 608, and then passed through the RF circuit 601 to be sent to, for example, another electronic device, or output to the memory 602 for further processing. The audio circuitry 606 may also include an earbud jack to provide communication of a peripheral headset with the electronic device.

WiFi belongs to short-distance wireless transmission technology, and the electronic device can help the user send and receive e-mail, browse web pages, access streaming media, etc. through the WiFi module 607, and it provides wireless broadband internet access for the user. Although fig. 7 shows the WiFi module 607, it is understood that it does not belong to the essential constitution of the electronic device, and may 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, connects various parts of the entire mobile phone by using various interfaces and lines, and performs various functions of the electronic device and processes data by operating or executing software programs and/or modules stored in the memory 602 and calling data stored in the memory 602, thereby performing overall monitoring of the mobile phone. Optionally, processor 608 may include one or more processing cores; preferably, the processor 608 may integrate an application processor, which primarily handles operating systems, user interfaces, applications, etc., and a modem processor, which 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 preferably be logically coupled to the processor 608 via a power management system, such that the power management system may manage charging, discharging, and power consumption. The power supply 609 may also include any component of one or more dc or ac power sources, recharging systems, power failure detection circuitry, power converters or inverters, power status indicators, and the like.

Although not shown, the electronic device may further include a camera, a bluetooth module, and the like, which are not described in detail herein. Specifically, in this embodiment, the processor 608 in the electronic device loads an executable file corresponding to a process of one or more application programs into the memory 602 according to the following instructions, and the processor 608 runs the application programs stored in the memory 602, so as to implement various functions:

acquiring a retrieval request input in a browser text input area;

In the above embodiments, the descriptions of the embodiments have respective emphasis, and parts that are not described in detail in a certain embodiment may refer to the above detailed description of the data processing method, and are not described herein again.

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 on the search request to obtain a keyword corresponding to the search request, perform matching in a preset card library according to the keyword to determine a plurality of card styles associated with the keyword in the preset card library, calculate weight values of the plurality of card styles, respectively, 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, the keywords can be extracted after the browser inputs the retrieval request, the browser bypasses a search engine to display the personalized card style according to the keywords, the high-quality content is displayed for the user by utilizing the matching capability of the browser, and the diversity of recommended content display is improved.

It will be understood by those skilled in the art that all or part of the steps of the methods of the above embodiments may be performed by instructions or by associated hardware controlled by the instructions, which may be stored in a computer readable storage medium and loaded and executed by a processor.

To this end, the present invention provides a storage medium, in which a plurality of instructions are stored, and the instructions can be loaded by a processor to execute the steps in any one of the data processing methods provided by the embodiments of the present invention. For example, the instructions may perform the steps of:

acquiring a retrieval request input in a browser text input area;

The above operations can be implemented in the foregoing embodiments, and are not described in detail herein.

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

Since the instructions stored in the storage medium can execute the steps in any data processing method provided in the embodiment of the present invention, the beneficial effects that can be achieved by any data processing method provided in the embodiment of the present invention can be achieved, which are detailed in the foregoing embodiments and will not be described herein again.

The data processing method and apparatus provided by the embodiment of the present invention are described in detail above, and a specific example is applied in the description to explain the principle and the implementation of the present invention, and the description of the above embodiment is only used to help understanding the method and the core idea of the present invention; meanwhile, for those skilled in the art, according to the idea of the present invention, there may be variations in the specific embodiments and the application scope, and in summary, the content of the present specification should not be construed as a limitation to the present invention.

Claims

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

acquiring a retrieval request input in a browser text input area;

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

3. The data processing method of claim 1, wherein the step of matching in a preset card library according to the keyword to determine a plurality of card styles associated with the keyword in the preset card library comprises:

judging whether the keywords comprise a plurality of card types in the preset card library;

if yes, determining a target card type in the plurality of card types according to user information;

and matching in a preset card library according to the target card type and the keywords so as to determine a plurality of card styles in the preset card library, wherein the card styles are related to the keywords and the target card type.

4. The data processing method of claim 3, wherein the step of determining a target card type among the plurality of card types based on the user information comprises:

acquiring browsing history information of a user using the browser;

5. The data processing method according to claim 1, wherein the step of calculating the weight values of the plurality of card styles, respectively, comprises:

respectively acquiring historical click volumes of the plurality of card styles in the browser background within a preset time period;

and distributing the weight values of the plurality of card styles according to the historical click rate.

6. The data processing method according to claim 1, wherein if the search request corresponds to a plurality of keywords, the step of presenting the target card style to a recommended area of the browser comprises:

7. The data processing method of claim 1, wherein after presenting the target card style to a recommended area of the browser, the method further comprises:

receiving an instruction for retrieving the retrieval request through a search engine;

and closing the target card style according to the instruction, and recalling data according to the keyword.

8. A data processing apparatus, comprising:

9. The data processing apparatus of claim 8, wherein the matching unit comprises:

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

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

and the matching subunit is used for matching in a preset card library according to the target card type and the keyword so as to determine a plurality of card styles in the preset card library, wherein the card styles are related to the keyword and the target card type.

10. The data processing apparatus of claim 8, wherein the processing unit comprises:

the acquisition subunit is used for respectively acquiring historical click volumes of the plurality of card styles in the browser background within a preset time period;

and the distribution subunit is used for distributing the weight values of the plurality of card styles according to the historical click rate.