WO2018023484A1

WO2018023484A1 - Method and system of implementing search of different parts of speech in big data

Info

Publication number: WO2018023484A1
Application number: PCT/CN2016/093042
Authority: WO
Inventors: 王晓光
Original assignee: 王晓光
Priority date: 2016-08-03
Filing date: 2016-08-03
Publication date: 2018-02-08

Abstract

A method and system for implementing the search of different parts of speech in big data. The method comprises the following steps: receiving a keyword input by a user (101); querying the part of speech of the keyword according to the keyword (102); and performing a search according to the part of speech of the keyword to obtain a search result (103). The method can implement good user experience.

Description

Method and system for implementing different part of speech in big data search

Technical field

The present invention relates to the field of big data, and in particular to a method and system for implementing different part of speech in big data search.

Background technique

Big data (big Data), or massive data, refers to the massive, high-growth, and diverse information assets that require new processing models to have greater decision-making, insight, and process optimization capabilities. In the Big Data Era written by Victor Meyer Schonberg and Kenneth Cooke, big data refers to the use of all data for analysis without the use of random analysis (sample survey). 4V features of big data: Volume, Velocity, Variety, Value.

Existing big data is inaccurate in search and has a low user experience.

technical problem

A method for implementing different part of speech in big data search is provided, which solves the shortcoming of low user experience in the prior art.

Technical solution

In one aspect, a method for implementing different part of speech in a big data search is provided, the method comprising the following steps:

Receiving keywords input by the user;

Querying the part of speech of the keyword according to the keyword;

The search results are obtained by searching according to the part of speech of the keyword.

Optionally, the method further includes:

Sort the search results based on the number of occurrences of the keyword.

Optionally, the method further includes:

Get the user's historical search results and block the same content as the historical search results in the search results.

In a second aspect, a system for implementing different part of speech in a big data search is provided, the system comprising:

a receiving unit, configured to receive a keyword input by a user;

a query unit, configured to query the part of speech of the keyword according to the keyword;

The search unit is configured to perform search according to the part of speech of the keyword to obtain the search result.

Optionally, the system further includes:

A sorting unit for sorting search results according to the number of occurrences of keywords.

Optionally, the system further includes:

The shielding unit is configured to obtain a historical search result of the user, and block the same content as the historical search result in the search result.

Beneficial effect

The technical solution provided by the specific embodiment of the present invention receives a keyword input by a user, queries the part of speech of the keyword according to the keyword, and performs search according to the part of speech of the keyword to obtain a search result, so that the search has the advantages of accurate search and high experience. .

DRAWINGS

In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the embodiments or the description of the prior art will be briefly described below. Obviously, the drawings in the following description are only It is a certain embodiment of the present invention, and other drawings can be obtained from those skilled in the art without any creative work.

1 is a flow chart of a method for implementing different part of speech in big data search according to the present invention;

FIG. 2 is a structural diagram of a system for implementing different part of speech in big data search according to the present invention.

Embodiments of the invention

The technical solutions in the embodiments of the present invention are clearly and completely described in the following with reference to the accompanying drawings in the embodiments of the present invention. It is obvious that the described embodiments are only a part of the embodiments of the present invention, but not all embodiments. All other embodiments obtained by those skilled in the art based on the embodiments of the present invention without creative efforts are within the scope of the present invention.

Referring to FIG. 1 , FIG. 1 is a flowchart of a method for implementing different part of speech in a big data search according to a first preferred embodiment of the present invention. The method is implemented by a server. The method is as shown in FIG. 1 and includes the following. step:

Step S101: Receive a keyword input by a user;

Step S102, querying the part of speech of the keyword according to the keyword;

Step S103: Perform a search according to the part of speech of the keyword to obtain a search result.

Optionally, after the step S103, the foregoing method may further include:

Sort the search results based on the number of occurrences of the keyword.

Optionally, after the step S103, the foregoing method may further include:

Referring to FIG. 2, FIG. 2 is a schematic diagram of a system for implementing different part of speech in a big data search according to a second preferred embodiment of the present invention. The system includes:

The receiving unit 201 is configured to receive a keyword input by the user;

The query unit 202 is configured to query the part of speech of the keyword according to the keyword;

The searching unit 203 is configured to perform a search according to the part of speech of the keyword to obtain a search result.

Optionally, the above system may further include:

The sorting unit 204 is configured to sort the search results according to the number of occurrences of the keywords.

Optionally, the above system may further include:

The masking unit 205 is configured to acquire a historical search result of the user, and block the same content as the historical search result in the search result.

It should be noted that, for the foregoing method embodiments or embodiments, for the sake of simple description, they are all expressed as a series of action combinations, but those skilled in the art should know that the present invention is not subject to the described action sequence. Limitations, as certain steps may be performed in other sequences or concurrently in accordance with the present invention. In the following, those skilled in the art should also understand that the embodiments or examples described in the specification are preferred embodiments, and the actions and units involved are not necessarily required by the present invention.

In the above embodiments, the descriptions of the various embodiments are different, and the details that are not detailed in a certain embodiment can be referred to the related descriptions of other embodiments.

The steps in the method of the embodiment of the present invention may be sequentially adjusted, merged, and deleted according to actual needs.

The units in the apparatus of the embodiment of the present invention may be combined, divided, and deleted according to actual needs. Those skilled in the art can combine or combine the different embodiments described in the specification and the features of the different embodiments.

Through the description of the above embodiments, those skilled in the art can clearly understand that the present invention can be implemented in hardware, firmware implementation, or a combination thereof. When implemented in software, the functions described above may be stored in or transmitted as one or more instructions or code on a computer readable medium. Computer readable media includes both computer storage media and communication media including any medium that facilitates transfer of a computer program from one location to another. A storage medium may be any available media that can be accessed by a computer. Taking this as an example, but not limited to: the computer readable medium may include random access memory (Random) Access Memory, RAM), Read-Only Memory (ROM), Electrically Erasable Programmable Read Only Memory (Electrically Erasable Programmable Read-Only Memory, EEPROM), Compact Disc Read-Only Memory, CD-ROM, or other optical disc storage, magnetic storage medium or other magnetic storage device, or any other medium that can be used to carry or store desired program code in the form of instructions or data structures and that can be accessed by a computer. Also. Any connection may suitably be a computer readable medium. For example, if the software is using coaxial cable, fiber optic cable, twisted pair, digital subscriber line (Digital Subscriber Line, DSL) or wireless technology such as infrared, radio and microwave transmission from a website, server or other remote source, then coaxial cable, fiber optic cable, twisted pair, DSL or such as infrared, wireless and microwave Wireless technology is included in the fixing of the associated medium. As used in the present invention, a disk and a disc include a compact disc (CD), a laser disc, a compact disc, a digital versatile disc (DVD), a floppy disk, and a Blu-ray disc, wherein the disc is usually magnetically copied, and the disc is The laser is used to optically replicate the data. Combinations of the above should also be included within the scope of the computer readable media.

In summary, the above description is only a preferred embodiment of the technical solution of the present invention, and is not intended to limit the scope of the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and scope of the present invention are intended to be included within the scope of the present invention.

Claims

A method for implementing different part of speech in big data search, characterized in that the method comprises the following steps:

Receiving keywords input by the user;

Querying the part of speech of the keyword according to the keyword;

The search results are obtained by searching according to the part of speech of the keyword.
The method of claim 1 further comprising:

Sort the search results based on the number of occurrences of the keyword.
The method of claim 1 further comprising:

Get the user's historical search results and block the same content as the historical search results in the search results.
A system for implementing different part of speech in big data search, characterized in that the system comprises:

a receiving unit, configured to receive a keyword input by a user;

a query unit, configured to query the part of speech of the keyword according to the keyword;

The search unit is configured to perform search according to the part of speech of the keyword to obtain the search result.
The system of claim 4, wherein the system further comprises:

A sorting unit for sorting search results according to the number of occurrences of keywords.
The system of claim 4, wherein the system further comprises:

The shielding unit is configured to obtain a historical search result of the user, and block the same content as the historical search result in the search result.