CN104077286A - Commodity information search method and system - Google Patents

Commodity information search method and system Download PDF

Info

Publication number
CN104077286A
CN104077286A CN201310098745.1A CN201310098745A CN104077286A CN 104077286 A CN104077286 A CN 104077286A CN 201310098745 A CN201310098745 A CN 201310098745A CN 104077286 A CN104077286 A CN 104077286A
Authority
CN
China
Prior art keywords
merchandise news
keyword
attribute information
information
classification information
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN201310098745.1A
Other languages
Chinese (zh)
Inventor
姚小龙
胡德凤
马超
朱正平
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Beijing Jingdong Shangke Information Technology Co Ltd
Original Assignee
Beijing Jingdong Shangke Information Technology Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Beijing Jingdong Shangke Information Technology Co Ltd filed Critical Beijing Jingdong Shangke Information Technology Co Ltd
Priority to CN201310098745.1A priority Critical patent/CN104077286A/en
Publication of CN104077286A publication Critical patent/CN104077286A/en
Pending legal-status Critical Current

Links

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90Details of database functions independent of the retrieved data types
    • G06F16/95Retrieval from the web
    • G06F16/951Indexing; Web crawling techniques

Landscapes

  • Engineering & Computer Science (AREA)
  • Databases & Information Systems (AREA)
  • Theoretical Computer Science (AREA)
  • Data Mining & Analysis (AREA)
  • Physics & Mathematics (AREA)
  • General Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Information Retrieval, Db Structures And Fs Structures Therefor (AREA)

Abstract

The embodiment of the invention discloses a commodity information search method and system, and relates to the technical field of the internet. A problem that a commodity required by a user is difficult to retrieve in a commodity retrieval way in the prior is solved. The method comprises the following steps: receiving a search query which carries a keyword; analyzing the keyword to obtain the information of a category to which the keyword belongs, and the attribute information of the keyword; sending the information of the category and the attribute information to a search engine; obtaining commodity information corresponding to the information of the category and the attribute information in a database by the search engine according to the information of the category and the attribute information; and returning the commodity information. The method disclosed by the invention is suitable for the commodity search of an internet shopping website.

Description

The searching method of merchandise news and system
Technical field
The present invention relates to Internet technical field, relate in particular to a kind of searching method and system of merchandise news.
Background technology
Along with the development of Internet technology, people do shopping very general on the net.Shopping at network is the net environment open in the Internet, and by browser, both parties do not meet and the commodity transaction activity carried out.Concrete shopping at network mode is, user retrieves merchandise news by internet, and sends shopping request by electronic purchase order, and after online payment, manufacturer delivers goods to the customers by express company etc.Shopping at network can be stayed indoors people can buy needed commodity in time.
In current shopping at network, user generally need to search for the commodity that need by search engine, concrete way of search is, search engine receives the keyword that user inputs, according to keyword, search the merchandise news of mating with this keyword in merchandising database, and merchandise news is presented on webpage.General every kind of commodity all have the index information for retrieving, and such as commodity title or Commercial goods labels etc., when carrying in commodity title or Commercial goods labels after described keyword, can determine the merchandise news that need to present this kind of commodity.For example user inputs keyword " tennis ", and if in commodity title, carry " tennis ", can determine the information that need to present these commodity, such as commodity title is " tennis ", " tennis shoes ", " tennis racket " etc., but is not only confined to this.
In the process that realizes the embodiment of the present invention, inventor finds that in prior art, at least there are the following problems:
In the time carrying out item retrieves, if the keyword that does not have user to input in commodity title or Commercial goods labels, dependent merchandise may not be retrieved.
Summary of the invention
Embodiments of the invention provide a kind of searching method and system of merchandise news, can solve the problem that item retrieves mode of the prior art is difficult to retrieve the needed commodity of user.
For achieving the above object, the present invention adopts following technical scheme:
A searching method for merchandise news, comprising:
Receive searching request, in described searching request, carry keyword;
Described keyword is analyzed, obtained the affiliated classification information of described keyword and the attribute information of described keyword;
Send described classification information and described attribute information to search engine;
Described search engine obtains described classification information and merchandise news corresponding to described attribute information according to described classification information and described attribute information in database, and returns to described merchandise news.
A search system for merchandise news, comprises searcher and the search engine of merchandise news, wherein,
The searcher of described merchandise news, for receiving searching request, carries keyword in described searching request;
The searcher of described merchandise news, also for described keyword is analyzed, obtains the affiliated classification information of described keyword and the attribute information of described keyword, and sends described classification information and described attribute information to search engine;
Described search engine, for obtaining described classification information and merchandise news corresponding to described attribute information according to described classification information and described attribute information at database, and returns to described merchandise news.
The searching method of merchandise news provided by the invention and system, due to the keyword in the searching request receiving is analyzed, determine classification information and the attribute information of described keyword, thereby search engine gets corresponding merchandise news according to described classification information and attribute information in database, and return to described merchandise news.By classification information and the attribute information of analysis of key word, can improve the retrieval accuracy of search engine.And in the item retrieves of prior art, if only search by keyword, there is no keyword that user inputs in commodity title or Commercial goods labels time, can cause dependent merchandise not to be retrieved.Therefore, the way of search of merchandise news of the present invention can retrieve the needed commodity of user fast and easily, and the degree of accuracy of item retrieves is higher.
Brief description of the drawings
In order to be illustrated more clearly in the embodiment of the present invention or technical scheme of the prior art, to the accompanying drawing of required use in embodiment or description of the Prior Art be briefly described below, apparently, accompanying drawing in the following describes is only some embodiments of the present invention, for those of ordinary skill in the art, do not paying under the prerequisite of creative work, can also obtain according to these accompanying drawings other accompanying drawing.
The process flow diagram of the searching method of the merchandise news that Fig. 1 provides for the embodiment of the present invention;
The process flow diagram of the searching method of the merchandise news that Fig. 2 provides for further embodiment of this invention;
The process flow diagram one of the search system of the merchandise news that Fig. 3 provides for the embodiment of the present invention;
The flowchart 2 of the search system of the merchandise news that Fig. 4 provides for the embodiment of the present invention.
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 clearly and completely described, obviously, described embodiment is only the present invention's part embodiment, instead of whole embodiment.Based on the embodiment in the present invention, those of ordinary skill in the art, not making the every other embodiment obtaining under creative work prerequisite, belong to the scope of protection of the invention.
For making the advantage of technical solution of the present invention clearer, below in conjunction with drawings and Examples, the present invention is elaborated.
As shown in Figure 1, the searching method of the merchandise news that the embodiment of the present invention provides, comprising:
101, receive searching request.
Wherein, in described searching request, carry keyword.
Concrete, described keyword can be the keyword of client user input, described client can provide input frame, inputs described keyword for user.For example, text input box of shopping at network webpage etc. etc.Described keyword is the corresponding vocabulary of the needed commodity of user, for example " dual-mode handset ", " Duo i7 notebook computer " etc.
102, described keyword is analyzed, obtained the affiliated classification information of described keyword and the attribute information of described keyword.
Concrete, in described classification information, carry the corresponding classification of described keyword, for example the classification under " dual-mode handset " is " mobile phone ", the classification under " Duo i7 notebook computer " is " notebook computer "; In described attribute information, carry the corresponding attribute of described keyword, the for example attribute of " dual-mode handset " is " bimodulus ", the attribute of " Duo i7 notebook computer " is " Duo i7 ", what wherein Duo i7 was represented is the attribute of the central processing unit (Central Processing Unit is called for short CPU) of this notebook computer.
103, send described classification information and described attribute information to search engine.
Concrete, analyzing after the classification and attribute of described keyword, corresponding described keyword classification information and described attribute information are sent to described search engine.For example, when keyword is " dual-mode handset ", be that the information that " mobile phone ", attribute are " bimodulus " sends to search engine by classification.
104, described search engine obtains described classification information and merchandise news corresponding to described attribute information according to described classification information and described attribute information in database, and returns to described merchandise news.
Concrete, described search engine can get corresponding merchandise news according to described classification information and attribute information in database.For example one or more mobile phones are that " mobile phone " and attribute are " bimodulus " corresponding to classification, and described search engine gets the merchandise news of these one or more mobile phones, and returns to described merchandise news.
Concrete, after returning, described merchandise news can be presented out, and for example present by forms such as webpages, but be not only confined to this.
The searching method of the merchandise news that the embodiment of the present invention provides, due to the keyword in the searching request receiving is analyzed, determine classification information and the attribute information of described keyword, thereby search engine gets corresponding merchandise news according to described classification information and attribute information in database, and returns.By classification information and the attribute information of analysis of key word, can improve the retrieval accuracy of search engine.And in the item retrieves of prior art, if only search by keyword, there is no keyword that user inputs in commodity title or Commercial goods labels time, can cause dependent merchandise not to be retrieved.Therefore, the way of search of merchandise news of the present invention can retrieve the needed commodity of user fast and easily, and the degree of accuracy of item retrieves is higher.
As shown in Figure 2, the searching method of the merchandise news that further embodiment of this invention provides, comprising:
201, client is selected the merchandise news needing.Perform step afterwards 203.
Concrete, what step 201-207 described is the foundation that stores the database of keyword and the corresponding classification information of keyword and attribute information.
Concrete, if desired set up the corresponding relation of described keyword and classification information and attribute information, need to add up in a large number the keyword of the selected merchandise news of client and its input.In described merchandise news, carry the attribute information of the affiliated classification information of these commodity and these commodity.
202, the searcher of merchandise news receives the searching request of client.Perform step afterwards 203 and step 208.
Wherein, in described searching request, carry keyword.
Concrete, described keyword can be the keyword of client user input, described client can provide input frame, inputs described keyword for user.For example, text input box of shopping at network webpage etc. etc.Described keyword is the corresponding vocabulary of the needed commodity of user, for example " dual-mode handset ", " Duo i7 notebook computer " etc.
203, daily record platform records keyword and the described merchandise news in described searching request in a Preset Time.
Concrete, described daily record platform is for recording the whole process of client search commercial articles, comprising recording the final merchandise news of selecting of described keyword and client.The described schedule time can set in advance by demand, for example, be set to " one month ", " six months " etc., but be not only confined to this.
204, add up the corresponding number of times of described keyword that described daily record platform records in described Preset Time and described merchandise news.
Concrete, the described keyword recording within a schedule time and the corresponding number of times of described merchandise news can reflect the temperature of described keyword and the corresponding commodity of described merchandise news, and the keyword that herein user can be searched for is interpreted as a kind of voting behavior.
205, judge whether described corresponding number of times is greater than a default threshold value.If described corresponding number of times is greater than described default threshold value, execution step 206.If described corresponding number of times is less than described default threshold value, execution step 207.
Concrete, described default threshold value can be set according to demand, need to consider the above-mentioned default time simultaneously, the described described keyword recording within a schedule time is larger with the corresponding number of times of described merchandise news, reflects that the temperature of described keyword and the corresponding commodity of described merchandise news is higher.
206, in described database, generate the corresponding classification information of described keyword and attribute information according to the corresponding classification of described merchandise news and attribute.Execution step 208.
Concrete, be greater than after described default threshold value at described corresponding number of times, the search that can determine described keyword and described classification information and attribute information is higher in current temperature, therefore search instantly the merchandise news that it needs for the ease of user, can in described database, generate the corresponding classification information of described keyword and attribute information.
207, abandon described keyword.
Concrete, because described corresponding number of times is less than described default threshold value, represent that described keyword and the corresponding temperature of described merchandise news are lower, without the corresponding relation of setting up described keyword and described classification information and attribute information.
208, the searcher of merchandise news, according to described keyword, is searched the attribute information of the corresponding classification information of described keyword and described keyword in described database.
Concrete, in described classification information, carry the corresponding classification of described keyword, for example the classification under " dual-mode handset " is " mobile phone ", the classification under " Duo i7 notebook computer " is " notebook computer "; In described attribute information, carry the corresponding attribute of described keyword, the for example attribute of " dual-mode handset " is " bimodulus ", the attribute of " Duo i7 notebook computer " is " Duo i7 ", and what wherein Duo i7 was represented is the attribute of the CPU of this notebook computer.
209, the searcher of described merchandise news sends described classification information and described attribute information to search engine.
Concrete, analyzing after the classification and attribute of described keyword, corresponding described keyword classification information and described attribute information are sent to described search engine.For example, when keyword is " dual-mode handset ", the searcher of described merchandise news is that the information that " mobile phone ", attribute are " bimodulus " sends to search engine by classification.
210, described search engine obtains described classification information and merchandise news corresponding to described attribute information according to described classification information and described attribute information in database, and described merchandise news is returned to the searcher of merchandise news.Execution step 211 and step 212.
Concrete, described search engine can get corresponding merchandise news according to described classification information and attribute information in database.For example one or more mobile phones are that " mobile phone " and attribute are " bimodulus " corresponding to classification, and described search engine arrives the data acquisition of these one or more mobile phones, and returns to the searcher of described merchandise news.
Concrete, if can obtain and described classification information and described attribute information merchandise news one to one, return to described and described classification information and described attribute information merchandise news one to one in described database.If do not get in described database and described classification information and described attribute information merchandise news one to one, return and described classification information and the approaching merchandise news of described attribute information.Like this, if do not get with described classification information and described attribute information one to one when merchandise news the merchandise news that can recommend out other comparatively to approach in described database.
Concrete, in the time that described search engine gets multiple merchandise news, can also sort to described multiple merchandise news according to the degree of correlation of described keyword and described multiple merchandise newss.Like this, by described multiple merchandise news is sorted, merchandise news high degree of correlation preferentially can be shown.
211, described merchandise news is returned to described client by the searcher of described merchandise news.
Concrete, returning to after described client in described merchandise news, described client can present described merchandise news, for example, present by forms such as webpages, but be not only confined to this.
212, the searcher of described merchandise news is receiving after described merchandise news, and described merchandise news is reported to described daily record platform.
Concrete, record the keyword of client input and the commodity data finally returning by described daily record platform, can excavate the corresponding commodity data information of this keyword that generates in follow-up statistics.
The searching method of the merchandise news that further embodiment of this invention provides, due to the keyword in the searching request receiving is analyzed, determine classification information and the attribute information of described keyword, thereby search engine gets corresponding merchandise news according to described classification information and attribute information in database, and return to described merchandise news.By classification information and the attribute information of analysis of key word, can improve the retrieval accuracy of search engine.And in the item retrieves of prior art, if only search by keyword, there is no keyword that user inputs in commodity title or Commercial goods labels time, can cause dependent merchandise not to be retrieved.Therefore, the way of search of merchandise news of the present invention can retrieve the needed commodity of user fast and easily, and the degree of accuracy of item retrieves is higher.
As shown in Figure 3, the search system of the merchandise news that the embodiment of the present invention provides, comprises searcher 31, client 32 and the search engine 33 of merchandise news, wherein,
The searcher 31 of described merchandise news, for receiving the searching request of client 32, carries keyword in described searching request.
The searcher 31 of described merchandise news, also for described keyword is analyzed, obtains the affiliated classification information of described keyword and the attribute information of described keyword, and sends described classification information and described attribute information to search engine 33.
Described search engine 33, for obtaining described classification information and merchandise news corresponding to described attribute information according to described classification information and described attribute information at database 34, and returns to described merchandise news;
Concrete, as shown in Figure 4, the searcher 31 of described merchandise news specifically for according to described keyword, is searched the attribute information of the corresponding classification information of described keyword and described keyword in described database 34.
Further, as shown in Figure 4, the search system of described merchandise news, also comprises:
Daily record platform 35, for recording described keyword and described merchandise news in a Preset Time.
Statistics is excavated module 36, for according to the corresponding classification of described merchandise news and attribute, generates the corresponding classification information of described keyword and attribute information in described database 34.
Concrete, as shown in Figure 4, described statistics is excavated module 36, specifically for:
Add up the corresponding number of times of described keyword that described daily record platform 35 records in described Preset Time and described merchandise news.
Judge whether described corresponding number of times is greater than a default threshold value.
If described corresponding number of times is greater than described default threshold value, in described database 34, generate the corresponding classification information of described keyword and attribute information according to the corresponding classification of described merchandise news and attribute.
Concrete, as shown in Figure 4, described search engine 33, specifically for:
If can obtain and described classification information and described attribute information merchandise news one to one, return to described and described classification information and described attribute information merchandise news one to one in described database 34.
If do not get in described database 34 and described classification information and described attribute information merchandise news one to one, return and described classification information and the approaching merchandise news of described attribute information.
In the time that described search engine 33 gets multiple merchandise news, according to the degree of correlation of described keyword and described multiple merchandise newss, described multiple merchandise news is sorted.
What deserves to be explained is, the specific implementation of the search system of the merchandise news shown in above-mentioned Fig. 3 and Fig. 4 can, referring to the specific implementation of Fig. 1 and Fig. 2, repeat no more herein.
The search system of the merchandise news that the embodiment of the present invention provides, due to the keyword in the searching request receiving is analyzed, determine classification information and the attribute information of described keyword, thereby search engine gets corresponding merchandise news according to described classification information and attribute information in database, and return to described merchandise news.By classification information and the attribute information of analysis of key word, can improve the retrieval accuracy of search engine.And in the item retrieves of prior art, if only search by keyword, there is no keyword that user inputs in commodity title or Commercial goods labels time, can cause dependent merchandise not to be retrieved.Therefore, the way of search of merchandise news of the present invention can retrieve the needed commodity of user fast and easily, and the degree of accuracy of item retrieves is higher.
The above; be only the specific embodiment of the present invention, but protection scope of the present invention is not limited to this, any be familiar with those skilled in the art the present invention disclose technical scope in; can expect easily changing or replacing, within all should being encompassed in protection scope of the present invention.Therefore, protection scope of the present invention should described be as the criterion with the protection domain of claim.

Claims (14)

1. a searching method for merchandise news, is characterized in that, comprising:
Receive searching request, in described searching request, carry keyword;
Described keyword is analyzed, obtained the affiliated classification information of described keyword and the attribute information of described keyword;
Send described classification information and described attribute information to search engine;
Described search engine obtains described classification information and merchandise news corresponding to described attribute information according to described classification information and described attribute information in database, and returns to described merchandise news.
2. the searching method of merchandise news according to claim 1, is characterized in that, described described keyword is analyzed, and obtains classification information under described keyword and the attribute information of described keyword, comprising:
According to described keyword, in described database, search the attribute information of the corresponding classification information of described keyword and described keyword.
3. the searching method of merchandise news according to claim 2, is characterized in that, described method also comprises:
Daily record platform records described keyword and described merchandise news in a Preset Time;
According to the corresponding classification of described merchandise news and attribute, in described database, generate the corresponding classification information of described keyword and attribute information.
4. the searching method of merchandise news according to claim 3, is characterized in that, described according to the corresponding classification of described merchandise news and attribute, generates the corresponding classification information of described keyword and attribute information in described database, comprising:
Add up the corresponding number of times of described keyword that described daily record platform records in described Preset Time and described merchandise news;
Judge whether described corresponding number of times is greater than a default threshold value;
If described corresponding number of times is greater than described default threshold value, in described database, generate the corresponding classification information of described keyword and attribute information according to the corresponding classification of described merchandise news and attribute.
5. the searching method of merchandise news according to claim 1, it is characterized in that, described search engine obtains described classification information and merchandise news corresponding to described attribute information according to described classification information and described attribute information in database, and returns to described merchandise news, comprising:
If can obtain and described classification information and described attribute information merchandise news one to one, return to described and described classification information and described attribute information merchandise news one to one in described database.
6. the searching method of merchandise news according to claim 5, it is characterized in that, described search engine obtains described classification information and merchandise news corresponding to described attribute information according to described classification information and described attribute information in database, and returns to described merchandise news, also comprises:
If do not get in described database and described classification information and described attribute information merchandise news one to one, return and described classification information and the approaching merchandise news of described attribute information.
7. the searching method of merchandise news according to claim 1, it is characterized in that, described search engine obtains described classification information and merchandise news corresponding to described attribute information according to described classification information and described attribute information in database, and returns to described merchandise news, comprising:
In the time that described search engine gets multiple merchandise news, according to the degree of correlation of described keyword and described multiple merchandise newss, described multiple merchandise news is sorted.
8. a search system for merchandise news, is characterized in that, comprises searcher and the search engine of merchandise news, wherein,
The searcher of described merchandise news, for receiving searching request, carries keyword in described searching request;
The searcher of described merchandise news, also for described keyword is analyzed, obtains the affiliated classification information of described keyword and the attribute information of described keyword, and sends described classification information and described attribute information to search engine;
Described search engine, for obtaining described classification information and merchandise news corresponding to described attribute information according to described classification information and described attribute information at database, and returns to described merchandise news.
9. the search system of merchandise news according to claim 8, is characterized in that, the searcher of described merchandise news, specifically for:
According to described keyword, in described database, search the attribute information of the corresponding classification information of described keyword and described keyword.
10. the search system of merchandise news according to claim 9, is characterized in that, the search system of described merchandise news, also comprises:
Daily record platform, for recording described keyword and described merchandise news in a Preset Time;
Statistics is excavated module, for according to the corresponding classification of described merchandise news and attribute, generates the corresponding classification information of described keyword and attribute information in described database.
The search system of 11. merchandise newss according to claim 10, is characterized in that, described statistics is excavated module, specifically for:
Add up the corresponding number of times of described keyword that described daily record platform records in described Preset Time and described merchandise news;
Judge whether described corresponding number of times is greater than a default threshold value;
If described corresponding number of times is greater than described default threshold value, in described database, generate the corresponding classification information of described keyword and attribute information according to the corresponding classification of described merchandise news and attribute.
The search system of 12. merchandise newss according to claim 8, is characterized in that, described search engine, specifically for:
If can obtain and described classification information and described attribute information merchandise news one to one, return to described and described classification information and described attribute information merchandise news one to one in described database.
The search system of 13. merchandise newss according to claim 12, is characterized in that, described search engine, specifically also for:
If do not get in described database and described classification information and described attribute information merchandise news one to one, return and described classification information and the approaching merchandise news of described attribute information.
The search system of 14. merchandise newss according to claim 8, is characterized in that, described search engine, specifically for:
In the time that described search engine gets multiple merchandise news, according to the degree of correlation of described keyword and described multiple merchandise newss, described multiple merchandise news is sorted.
CN201310098745.1A 2013-03-26 2013-03-26 Commodity information search method and system Pending CN104077286A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201310098745.1A CN104077286A (en) 2013-03-26 2013-03-26 Commodity information search method and system

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201310098745.1A CN104077286A (en) 2013-03-26 2013-03-26 Commodity information search method and system

Publications (1)

Publication Number Publication Date
CN104077286A true CN104077286A (en) 2014-10-01

Family

ID=51598546

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201310098745.1A Pending CN104077286A (en) 2013-03-26 2013-03-26 Commodity information search method and system

Country Status (1)

Country Link
CN (1) CN104077286A (en)

Cited By (17)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104462438A (en) * 2014-12-15 2015-03-25 北京搜狗科技发展有限公司 Information processing method and device
CN104572453A (en) * 2014-12-26 2015-04-29 北京京东尚科信息技术有限公司 Method and device for acquiring commodity attribute by using script language
CN105956896A (en) * 2016-04-15 2016-09-21 郑州悉知信息科技股份有限公司 Purchasing method, server and terminal equipment
CN107093099A (en) * 2017-03-10 2017-08-25 重庆软易科技有限公司 A kind of internet trading system and method
CN107092608A (en) * 2016-04-16 2017-08-25 口碑控股有限公司 A kind of search of destination object, recommendation method and apparatus
CN108241646A (en) * 2016-12-23 2018-07-03 阿里巴巴集团控股有限公司 A kind of searching and matching method and device recommend method and apparatus
CN109241122A (en) * 2017-07-04 2019-01-18 武汉默联股份有限公司 Information acquisition method and device
CN109635198A (en) * 2018-12-17 2019-04-16 杭州柚子街信息科技有限公司 The method, apparatus of presentation user's search result, medium and electronic equipment on merchandise display platform
CN110019992A (en) * 2017-09-14 2019-07-16 腾讯科技(深圳)有限公司 A kind of data processing method and device
CN111028067A (en) * 2019-12-28 2020-04-17 广东奥园奥买家电子商务有限公司 E-commerce commodity searching method, device and equipment
CN111090668A (en) * 2019-12-09 2020-05-01 北京海益同展信息科技有限公司 Data retrieval method and device, electronic equipment and computer-readable storage medium
CN111553762A (en) * 2020-04-24 2020-08-18 广州探途网络技术有限公司 Method, system and terminal equipment for improving search quality
CN111626830A (en) * 2020-05-30 2020-09-04 江苏灰姑娘智能信息技术有限公司 Business mode of life mall
CN112163142A (en) * 2020-10-19 2021-01-01 珠海格力电器股份有限公司 Commodity searching method and device, computer equipment and storage medium
CN112507239A (en) * 2020-12-28 2021-03-16 山东茶急送茶业有限公司 Tea commodity search algorithm and system based on tea attributes
CN113449229A (en) * 2020-03-27 2021-09-28 北京沃东天骏信息技术有限公司 Data loading method and device and storage medium
CN114741589A (en) * 2022-03-24 2022-07-12 深圳买个宝科技有限公司 Commodity transaction system based on big data

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102236663A (en) * 2010-04-30 2011-11-09 阿里巴巴集团控股有限公司 Query method, query system and query device based on vertical search
CN102446180A (en) * 2010-10-09 2012-05-09 腾讯科技(深圳)有限公司 Commodity searching method and device adopting same
CN102542474A (en) * 2010-12-07 2012-07-04 阿里巴巴集团控股有限公司 Method for sorting inquiry results and device

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102236663A (en) * 2010-04-30 2011-11-09 阿里巴巴集团控股有限公司 Query method, query system and query device based on vertical search
CN102446180A (en) * 2010-10-09 2012-05-09 腾讯科技(深圳)有限公司 Commodity searching method and device adopting same
CN102542474A (en) * 2010-12-07 2012-07-04 阿里巴巴集团控股有限公司 Method for sorting inquiry results and device

Cited By (24)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104462438A (en) * 2014-12-15 2015-03-25 北京搜狗科技发展有限公司 Information processing method and device
CN104572453A (en) * 2014-12-26 2015-04-29 北京京东尚科信息技术有限公司 Method and device for acquiring commodity attribute by using script language
CN105956896A (en) * 2016-04-15 2016-09-21 郑州悉知信息科技股份有限公司 Purchasing method, server and terminal equipment
CN107092608B (en) * 2016-04-16 2021-03-23 口碑控股有限公司 Target object searching and recommending method and device
CN107092608A (en) * 2016-04-16 2017-08-25 口碑控股有限公司 A kind of search of destination object, recommendation method and apparatus
CN108241646B (en) * 2016-12-23 2021-12-17 阿里巴巴集团控股有限公司 Search matching method and device and recommendation method and device
CN108241646A (en) * 2016-12-23 2018-07-03 阿里巴巴集团控股有限公司 A kind of searching and matching method and device recommend method and apparatus
CN107093099A (en) * 2017-03-10 2017-08-25 重庆软易科技有限公司 A kind of internet trading system and method
CN109241122A (en) * 2017-07-04 2019-01-18 武汉默联股份有限公司 Information acquisition method and device
CN109241122B (en) * 2017-07-04 2021-12-03 武汉默联股份有限公司 Information acquisition method and device
CN110019992A (en) * 2017-09-14 2019-07-16 腾讯科技(深圳)有限公司 A kind of data processing method and device
CN110019992B (en) * 2017-09-14 2021-02-02 腾讯科技(深圳)有限公司 Data processing method and device
CN109635198A (en) * 2018-12-17 2019-04-16 杭州柚子街信息科技有限公司 The method, apparatus of presentation user's search result, medium and electronic equipment on merchandise display platform
CN109635198B (en) * 2018-12-17 2020-09-29 杭州柚子街信息科技有限公司 Method, device, medium and electronic equipment for presenting user search results on commodity display platform
CN111090668A (en) * 2019-12-09 2020-05-01 北京海益同展信息科技有限公司 Data retrieval method and device, electronic equipment and computer-readable storage medium
CN111090668B (en) * 2019-12-09 2023-09-26 京东科技信息技术有限公司 Data retrieval method and device, electronic equipment and computer readable storage medium
CN111028067A (en) * 2019-12-28 2020-04-17 广东奥园奥买家电子商务有限公司 E-commerce commodity searching method, device and equipment
CN113449229A (en) * 2020-03-27 2021-09-28 北京沃东天骏信息技术有限公司 Data loading method and device and storage medium
CN111553762A (en) * 2020-04-24 2020-08-18 广州探途网络技术有限公司 Method, system and terminal equipment for improving search quality
CN111626830A (en) * 2020-05-30 2020-09-04 江苏灰姑娘智能信息技术有限公司 Business mode of life mall
CN112163142A (en) * 2020-10-19 2021-01-01 珠海格力电器股份有限公司 Commodity searching method and device, computer equipment and storage medium
CN112507239A (en) * 2020-12-28 2021-03-16 山东茶急送茶业有限公司 Tea commodity search algorithm and system based on tea attributes
CN114741589A (en) * 2022-03-24 2022-07-12 深圳买个宝科技有限公司 Commodity transaction system based on big data
CN114741589B (en) * 2022-03-24 2024-05-07 深圳买个宝科技有限公司 Commodity transaction system based on big data

Similar Documents

Publication Publication Date Title
CN104077286A (en) Commodity information search method and system
CN102722481B (en) The processing method of a kind of user's favorites data and searching method
CN102253936B (en) Method for recording access of user to merchandise information, search method and server
CN102236663B (en) Query method, query system and query device based on vertical search
CN102053983B (en) Method, system and device for querying vertical search
KR101419504B1 (en) System and method providing a suited shopping information by analyzing the propensity of an user
CN108885624B (en) Information recommendation system and method
CN102722498B (en) Search engine and implementation method thereof
CN103034680B (en) For data interactive method and the device of terminal device
US11836778B2 (en) Product and content association
CN103020128B (en) With the method and apparatus of data interaction with terminal device
CN101727454A (en) Method for automatic classification of objects and system
CN102737021B (en) Search engine and realization method thereof
CN104216881A (en) Method and device for recommending individual labels
CN102722499B (en) Search engine and implementation method thereof
CN103577432A (en) Method and system for searching commodity information
CN102375885A (en) Method and device for providing search suggestions corresponding to query sequence
CN105512180A (en) Search recommendation method and device
CN109241403A (en) Item recommendation method, device, machinery equipment and computer readable storage medium
CN101408964B (en) The foreground category method of adjustment of e-commerce website and device
CN104572887A (en) Method and system for retrieving product information
CN104484367A (en) Data mining and analyzing system
TWI507902B (en) A retrieval system, a retrieval condition setting device, a control method of a search condition setting device, a computer program product, and an information memory medium
Zhu et al. The case study for price extracting of mobile phone sell online
WO2001027712A2 (en) A method and system for automatically structuring content from universal marked-up documents

Legal Events

Date Code Title Description
C06 Publication
PB01 Publication
C10 Entry into substantive examination
SE01 Entry into force of request for substantive examination
RJ01 Rejection of invention patent application after publication
RJ01 Rejection of invention patent application after publication

Application publication date: 20141001