CN106528796A - Method for quickly identifying proper nouns in industrial product e-commerce search engine - Google Patents
Method for quickly identifying proper nouns in industrial product e-commerce search engine Download PDFInfo
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- CN106528796A CN106528796A CN201610992778.4A CN201610992778A CN106528796A CN 106528796 A CN106528796 A CN 106528796A CN 201610992778 A CN201610992778 A CN 201610992778A CN 106528796 A CN106528796 A CN 106528796A
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- proper noun
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/95—Retrieval from the web
- G06F16/951—Indexing; Web crawling techniques
Abstract
The invention discloses a method for quickly identifying proper nouns in an industrial product e-commerce search engine. The method comprises the steps of creating proper noun lists for all users through B2B relationships and industry characteristics, and storing the lists in clients of the users; when the users perform queries, performing proper noun list matching at the clients to identify proper nouns in search entries; before the users send the search entries to a server, automatically processing the search entries by the clients, and marking the proper nouns in the search entries; and after the server receives the search entries, directly locating the proper nouns according to marks in the search entries without identifying the proper nouns again.
Description
Technical field
The present invention relates to search engine technique field, and in particular to quick in a kind of industrial products E-commerce Search Engine
The method of identification proper noun.
Background technology
B2B refers to the marketing relationship between business to business, and intranet is combined closely with client by B2B websites
Get up, by the fast reaction of network, preferably service is provided for client, so as to promote the business development of enterprise.
In B2B fields, a core technology is " the industrial products function of search based on internet ", and the function is enterprise
Between Products Trade hinge and entrance are provided.Industrial products of the product demand side for needed for purchase, the first enterprise need
On B2B internet platforms, the industrial products needed for which are searched on the internet by the function of search of industrial products, to obtain
Product information (supplying party, price, logistics etc.) required for which.Then, place an order order online, and carries out trade under the line in later stage
It is easy to be.So, the search engine functionality becomes one of the Core Feature in B2B fields.
And in a search engine, for the identification of proper noun in the search entry of user input is a key technology.
So-called proper noun, refers to the title of some objective main bodys, such as brand name, Business Name, brand name, name etc..It is right
The identification of proper noun, becomes the first step of many subsequent searches technologies, for example, contains in the entry for recognize user input
After having proper noun, specific search behavior can be triggered, such as the picture and text Search Results of customization, the screening based on proper noun
Function, the recommendation of similar brand, vocational advertising etc..So, the identification for proper noun need to be all inherited to search engine
Technology.
At present, the main recognition methods to proper noun be server end safeguard a proper noun list, with
After family input search entry, user's search entry is matched with the proper noun list of server end, to determine user
Search entry in whether containing the content in proper noun list, and then determine user input search entry in whether contain
Proper noun.
Traditional method be present：
1. big for the calculating pressure of server.The search entry of each user is required to be processed in server end,
And processing procedure is the larger string matching of amount of calculation, when customer volume is larger, this task brings huge to server
Calculate pressure.
2. inefficiency, unnecessary calculating are more.After each entry of user input, it is required for the entry and server
Each proper noun in the proper noun list at end is matched, wherein most matchings are non-successful matching, is wasted
Computing resource.Therefore, the method is less efficient.
3. small business's use is not suitable for.The algorithm is put to proper noun list based on substantial amounts of data mining work
Standby, technique approval threshold is higher；Further, since amount of calculation is larger, enterprise needs to prepare higher, the more clothes of computing capability
Business device, economic input are more.These characteristics, cause traditional proper noun recognition technology to be not suitable for small business's enforcement.
The content of the invention
It is an object of the invention to overcome the problem above that prior art is present, there is provided a kind of industrial products ecommerce is searched
The identification process of proper noun is transferred to client by server end by the method for index quick identification proper noun in holding up, the present invention
End, the identification process of proper noun is transferred to client by server end by the technology, by B2B business relations and industry characteristic
Proper noun list is built for each user, and the list is stored in the client of user；When user scans for, with
Family end carries out proper noun list match, to recognize the proper noun in search entry；Search entry is sent in user and put clothes
Before business device end, user side is processed to search entry automatically, and the proper noun in search entry is marked；Server
After end receives search entry, it is not necessary to again proper noun is identified, and it is directly special according to the mark positioning in search entry
There is noun.
The technology of the present invention has been distributed to server end huge calculating task in countless clients, defines countless
Small-sized calculating task；Also, for the proper noun list that each user generates, custom matching degree height is searched for which, calculated
It is in hgher efficiency；Meanwhile, the technology solves server cost and algorithm development cost, is more suitable for small business's enforcement.
To realize above-mentioned technical purpose, above-mentioned technique effect is reached, the present invention is achieved through the following technical solutions：
A kind of method of quick identification proper noun in industrial products E-commerce Search Engine, which is applied to industrial products
In E-commerce Search Engine system, search engine system includes server and some clients, comprises the following steps：
S1 builds exclusive proper noun list for each user：In industrial products e-commerce system, search with
One enterprise has all upstream firms and the down-stream enterprise of business contact, and by upstream firm and down-stream enterprise in industry product
Keyword in product e-commerce system is all extracted, and forms the exclusive proper noun list of enterprise；
The enterprise formed in S1 exclusive proper noun list is sent to user by S2, and is stored to client；
When S3 user scans for, user is input into search entry in the client, clicks on search button, and search entry exists
The client is pre-processed, and the mode of pretreatment is：Proper noun list to client is scanned, and determines the search of user
Whether entry is containing the proper noun in proper noun list, if it has, the proper noun in user's search entry is entered rower
Note, will send to server with markd entry；
S4 servers are positioned to proper noun：Server carries out noun positioning according to the proper noun after client mark,
Server obtains the information of proper noun in user's search entry, and server can subsequently be located to the search behavior of user
Reason.
Preferably, the keyword in S1 includes：Business Name, brand name, trade mark noun, name.
Preferably, also include in S1 to the exclusive proper noun list update of enterprise.
Preferably, include to the mode of the exclusive proper noun list update of enterprise that timing updates and event update；
It is, according to cycle regular time, to perform S1, regain proper noun list that timing updates；
Event update is, after there is an event, to go automatically to perform S1, regain proper noun list.
The invention has the beneficial effects as follows:
1st, it is that each user builds proper noun list that the present invention passes through B2B business relations and industry characteristic, and this is arranged
Table is stored in the client of user；When user scans for, proper noun list match is carried out in user side, to recognize search
Proper noun in entry；Before search entry is sent and puts server end by user, user side is carried out to search entry automatically
Process, the proper noun in search entry is marked；After server end receives search entry, it is not necessary to again to proper noun
It is identified, and directly according to the mark positioning proper noun in search entry.The technology is by server end huge meter
Share tasks are calculated in countless clients, countless small-sized calculating tasks is defined, effectively be make use of the meter of client
Resource is calculated, the calculating pressure of server is reduced.
2nd, the proper noun list that the present invention is generated for each user, searches for custom, operation flow matching degree height with which,
Matching rate is higher, and computational efficiency is higher.
3rd, the technology reduces the requirement of the performance to server, quantity, that is, reduce hardware cost；Meanwhile, the technology
Reduce to data mining algorithm development cost, so being more suitable for small business's enforcement.
Described above is only the general introduction of technical solution of the present invention, in order to better understand the technological means of the present invention,
And can be practiced according to the content of specification, below with presently preferred embodiments of the present invention and coordinate accompanying drawing describe in detail as after.
The specific embodiment of the present invention is shown in detail in by following examples and its accompanying drawing.
Description of the drawings
For the technical scheme being illustrated more clearly that in embodiment of the present invention technology, below will be in the description of embodiment technology
The required accompanying drawing for using is briefly described, it should be apparent that, drawings in the following description are only some realities of the present invention
Example is applied, for those of ordinary skill in the art, on the premise of not paying creative work, can be with according to these accompanying drawings
Obtain other accompanying drawings.
Fig. 1 is method of the present invention flow chart.
Specific embodiment
Below in conjunction with the accompanying drawing in the embodiment of the present invention, the technical scheme in the embodiment of the present invention is carried out clear, complete
Site preparation is described, it is clear that described embodiment is only a part of embodiment of the invention, rather than the embodiment of whole.It is based on
Embodiment in the present invention, it is every other that those of ordinary skill in the art are obtained under the premise of creative work is not made
Embodiment, belongs to the scope of protection of the invention.
Embodiment
With reference to shown in Fig. 1, during a kind of industrial products E-commerce Search Engine is disclosed in the present embodiment, quick identification is special
There is the method for noun, the method is comprised the following steps：
The first step：Exclusive proper noun list is built for each user：
For a certain enterprise, all enterprises that there is business contact with which in searching system, are found, and by these enterprises
All of brand name in database, Business Name, brand name, name are extracted, and form a table, i.e. its proprietary name
Word list.
Because industrial products e-commerce system (B2B systems) is present between user operational with its particularity
Interactive relationship.In interactive relationship, often there is upstream-downstream relationship, product is sold to B enterprises by even A enterprises, then A enterprises are in
The upstream of B enterprises, downstream of the B enterprises in A enterprises.
Second step：The storage of proper noun list：
The accession page based on Web is provided the user, after logging in system by user, system is downloaded from server automatically and belonged to
The proper noun list of the user, and be stored in the caching mechanism with browser.
3rd step：The renewal of proper noun list：
Proper noun list update is updated using timing and event update two ways, wherein, it is according to one that timing updates
In individual cycle regular time, the first step is performed, proper noun list is regained；
Event update is to work as an event (for example, the enterprise increases a business contact enterprise newly), after, go automatically to hold
The row first step, regains proper noun list.
In daily regular time (such as 0 point), server regenerates the proper noun list of each user.User it
During rear first time login system, the list is re-downloaded, and is stored in the caching of browser.
4th step：The search pretreatment of user：
When user scans for, user is input into search entry first, clicks on search button.After search button is clicked on,
Search entry is not sent to server immediately, and is pre-processed in user side first.The method of pretreatment is：To user's sheet
Whether the proper noun list on ground is scanned, to determine in the search entry of user containing the proprietary name in proper noun list
Word, if having, the proper noun in user's search entry is marked.
5th step：After mark proper noun, the tool markd entry is sent to server.
Server end is directly positioned for proper noun.
Proper noun list is built for each user with industry characteristic by B2B business relations, and the list is stored in
The client of user；When user scans for, proper noun list match is carried out in user side, to recognize in search entry
Proper noun；Before search entry is sent and puts server end by user, user side is processed to search entry automatically, will be searched
Proper noun in rope entry is marked；After server end receives search entry, it is not necessary to again proper noun is identified,
And directly according to the mark positioning proper noun in search entry.Server end huge calculating task is disperseed by the technology
To in countless clients, countless small-sized calculating tasks are defined, effectively make use of the computing resource of client, reduced
The calculating pressure of server.
For the proper noun list that each user generates, custom, operation flow matching degree height are searched for which, matching rate is more
Height, computational efficiency are higher.The technology reduces the requirement of the performance to server, quantity, that is, reduce hardware cost；Meanwhile,
The technology is reduced to data mining algorithm development cost, so being more suitable for small business's enforcement.
The foregoing description of the disclosed embodiments, enables professional and technical personnel in the field to realize or using the present invention.
Various modifications to these embodiments will be apparent for those skilled in the art, as defined herein
General Principle can be realized without departing from the spirit or scope of the present invention in other embodiments.Therefore, the present invention
The embodiments shown herein is not intended to be limited to, and is to fit to and principles disclosed herein and features of novelty phase one
The most wide scope for causing.
Claims (4)
1. a kind of method that proper noun is quickly recognized in industrial products E-commerce Search Engine, which is applied to industrial products electricity
In sub- commercial affairs search engine system, search engine system includes server and some clients, it is characterised in that including following step
Suddenly：
S1 builds exclusive proper noun list for each user：In industrial products e-commerce system, search and one
Enterprise has all upstream firms of business contact and down-stream enterprise, and by upstream firm and down-stream enterprise in industrial products electricity
Keyword in sub- business system is all extracted, and forms the exclusive proper noun list of enterprise；
The enterprise formed in S1 exclusive proper noun list is sent to user by S2, and is stored to client；
When S3 user scans for, user is input into search entry in the client, clicks on search button, and search entry is described
Client is pre-processed, and the mode of pretreatment is：Proper noun list to client is scanned, and determines the search entry of user
Whether containing the proper noun in proper noun list, if it has, the proper noun in user's search entry is marked, will
Send to server with markd entry；
S4 servers are positioned to proper noun：Server carries out noun positioning according to the proper noun after client mark, services
Device obtains the information of proper noun in user's search entry, and server can carry out subsequent treatment to the search behavior of user.
2. the method that proper noun is quickly recognized in industrial products E-commerce Search Engine according to claim 1, its
It is characterised by, the keyword in S1 includes：Business Name, brand name, trade mark noun, name.
3. the method that proper noun is quickly recognized in industrial products E-commerce Search Engine according to claim 1, its
Be characterised by, also include in S1 to the exclusive proper noun list update of enterprise.
4. the method that proper noun is quickly recognized in industrial products E-commerce Search Engine according to claim 3, its
It is characterised by, timing updates and event update is included to the mode of the exclusive proper noun list update of enterprise；
It is, according to cycle regular time, to perform S1, regain proper noun list that timing updates；Event update is to work as
After there is an event, go automatically to perform S1, regain proper noun list.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610992778.4A CN106528796A (en) | 2016-11-11 | 2016-11-11 | Method for quickly identifying proper nouns in industrial product e-commerce search engine |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610992778.4A CN106528796A (en) | 2016-11-11 | 2016-11-11 | Method for quickly identifying proper nouns in industrial product e-commerce search engine |
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| Publication Number | Publication Date |
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| CN106528796A true CN106528796A (en) | 2017-03-22 |
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| Application Number | Title | Priority Date | Filing Date |
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| CN201610992778.4A Pending CN106528796A (en) | 2016-11-11 | 2016-11-11 | Method for quickly identifying proper nouns in industrial product e-commerce search engine |
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN110134846A (en) * | 2019-04-18 | 2019-08-16 | 深圳壹账通智能科技有限公司 | Proper noun processing method, device and the computer equipment of text |
| CN110442673A (en) * | 2019-08-14 | 2019-11-12 | 黄河水利职业技术学院 | The information query system and method for Chinese literature |
| WO2020199270A1 (en) * | 2019-04-04 | 2020-10-08 | Beijing Didi Infinity Technology And Development Co., Ltd. | Systems and methods for identifying proper nouns |
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| CN102891874A (en) * | 2011-07-21 | 2013-01-23 | 腾讯科技（深圳）有限公司 | Method, device and system for providing search prompt message based on conversation |
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2020199270A1 (en) * | 2019-04-04 | 2020-10-08 | Beijing Didi Infinity Technology And Development Co., Ltd. | Systems and methods for identifying proper nouns |
| CN111797620A (en) * | 2019-04-04 | 2020-10-20 | 北京嘀嘀无限科技发展有限公司 | System and method for recognizing proper nouns |
| CN111797620B (en) * | 2019-04-04 | 2023-12-19 | 北京嘀嘀无限科技发展有限公司 | System and method for identifying proper nouns |
| CN110134846A (en) * | 2019-04-18 | 2019-08-16 | 深圳壹账通智能科技有限公司 | Proper noun processing method, device and the computer equipment of text |
| CN110442673A (en) * | 2019-08-14 | 2019-11-12 | 黄河水利职业技术学院 | The information query system and method for Chinese literature |
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Application publication date: 20170322 |
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