CN106096026A - A kind of product search method and system - Google Patents
A kind of product search method and system Download PDFInfo
- Publication number
- CN106096026A CN106096026A CN201610474150.5A CN201610474150A CN106096026A CN 106096026 A CN106096026 A CN 106096026A CN 201610474150 A CN201610474150 A CN 201610474150A CN 106096026 A CN106096026 A CN 106096026A
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- China
- Prior art keywords
- commodity
- weight
- key word
- merchandise news
- search
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- 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.)
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Classifications
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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
- G06F16/953—Querying, e.g. by the use of web search engines
- G06F16/9535—Search customisation based on user profiles and personalisation
Abstract
The invention discloses a kind of product search method and system, wherein, described product search method includes: receive the commodity key word that subscription client sends, and described commodity key word is divided into field key word and attribute keywords two parts；Obtain and the merchandise news of this field Keywords matching according to described field key word, and combine described attribute keywords described merchandise news is tentatively sorted, obtain initial search ranking results；According to calculated Commodity Information Search weight and commodity degree of belief weight, on the basis of initial search ranking results, described merchandise news is carried out two minor sorts, obtain final searching order result, and described final searching order result is fed back to subscription client.The method provided by the present invention, it is possible to root obtains different Search Results for different subscription clients, is fed back to subscription client by merchandise news according to optimum sortord, meets the individual variation of user, and improve the accuracy of search.
Description
Technical field
The present invention relates to technical field of electronic commerce, be specifically related to a kind of product search method and system.
Background technology
At present, the searching method of a kind of common E-commerce Search Engine is, carries out the key word of user's input
Join inquiry, obtain the merchandise news with this Keywords matching, and the merchandise news as Search Results is ranked up, the most defeated
Go out the Search Results after sequence.For improving the accuracy of search, usual E-commerce Search Engine can use some searching orders
Strategy, to facilitate user to be quickly found out the merchandise news information of needs.It is usually and is ranked up with the matching degree of term, but by
From general level, merchandise news is ranked up in it, and does not considers the individual variation of user, therefore input at user A and user B
During same key word, same Search Results can be obtained.But, as consumer, the consumption idea of different user is different
, this certainly will determine that different user is likely to have different consuming behavior, thus determines that different user is expected to see difference
Search Results, the most existing Search Results has to be optimized, to meet the individual variation of user, improve search accuracy.
Summary of the invention
The technical problem to be solved is to provide a kind of product search method and system, it is possible to send out according to client
The commodity key word sent, for different clients, obtains different Search Results, and the commodity letter needed by subscription client
Cease and feed back to subscription client according to optimum sortord.
The technical scheme is that
According to one aspect of the present invention, it is provided that a kind of product search method, described method includes:
The commodity key word that S101, reception subscription client send, and described commodity key word is divided into field key word
With attribute keywords two parts；
S102, obtain and the merchandise news of this field Keywords matching according to described field key word, and combine described genus
Described merchandise news is tentatively sorted by property key word, obtains initial search ranking results；
S103, according to calculated Commodity Information Search weight and commodity degree of belief weight, sort at initial search
On the basis of result, described merchandise news is carried out two minor sorts, obtain final searching order result, and by described final search
Ranking results feeds back to subscription client.
According to another aspect of the present invention, it is provided that a kind of product search system, described system includes:
Receive unit, for receiving the commodity key word that subscription client sends, and described commodity key word is divided into word
Section key word and attribute keywords two parts；
Preliminary sequencing unit, for obtaining and the merchandise news of this field Keywords matching according to described field key word,
And combine described attribute keywords described merchandise news is tentatively sorted, obtain initial search ranking results；
Secondary sequencing unit, for according to calculated Commodity Information Search weight and commodity degree of belief weight,
On the basis of initial search ranking results, described merchandise news is carried out two minor sorts, obtain final searching order result；
Feedback unit, for feeding back to subscription client by described final searching order result.
The method have the benefit that the commodity key word that can send according to client, for different clients, first press
Tentatively sort according to commodity key word, then according to Commodity Information Search weight and different user client for different commodity
Degree of belief weight carry out two minor sorts, different subscription clients obtains different Search Results, by subscription client need
Merchandise news feed back to subscription client according to optimum sortord, meet the individual variation of user, and improve search
Accuracy.
Accompanying drawing explanation
Fig. 1 is a kind of product search method flow chart of the embodiment of the present invention one；
Fig. 2 is a kind of product search system schematic diagram of the embodiment of the present invention two.
Detailed description of the invention
Being described principle and the feature of the present invention below in conjunction with accompanying drawing, example is served only for explaining the present invention, and
Non-for limiting the scope of the present invention.
Embodiment one, a kind of product search method.The method provided the present embodiment below in conjunction with Fig. 1 is carried out specifically
Bright.
See Fig. 1, S101, receive the commodity key word that subscription client sends, and described commodity key word is divided into word
Section key word and attribute keywords two parts.
Concrete, receive the commodity key word that subscription client sends, and described commodity key word is divided into field crucial
Word and attribute keywords two parts, wherein, described field key word specifically includes name of product and product key data, attribute
Key word specifically includes product price, ownership place and categorical data.
S102, obtain and the merchandise news of this field Keywords matching according to described field key word, and combine described genus
Described merchandise news is tentatively sorted by property key word, obtains initial search ranking results.
Concrete, described field key word is carried out matching inquiry, obtains and the merchandise news of this field Keywords matching,
And combine described attribute keywords and according to the size of the matching rate of field key word, described merchandise news is carried out descending and tentatively arrange
Sequence, obtains initial search ranking results.
S103, according to calculated Commodity Information Search weight and commodity degree of belief weight, sort at initial search
On the basis of result, described merchandise news is carried out two minor sorts, obtain final searching order result, and by described final search
Ranking results feeds back to subscription client.
Concrete, weigh according to described Commodity Information Search weight and commodity degree of belief according to default weight calculation rule
Re-computation obtains the comprehensive weight of commodity, and the size of comprehensive weight according to commodity on the basis of initial search ranking results
Described merchandise news is carried out descending two minor sort.
Described Commodity Information Search weight is specifically calculated according to the Commodity Information Search weight parameter obtained, its
In, described Commodity Information Search weight parameter specifically includes commodity conclusion of the business number of times, inquiry number of times, consulting number of times, user always access
The scoring of the total access number of quantity, webpage, wall scroll product and supplier's scoring.Concrete, described Commodity Information Search weight
Specific formula for calculation is:
E=A1×Z1%+A2×Z2%+ ...+Aj×Zj% (1)
Wherein, E is Commodity Information Search weight, AjFor jth Commodity Information Search weight parameter, Zj% is jth commodity
The weight of information search weight parameter, the weight of Commodity Information Search weight parameter pre-sets.
Described commodity degree of belief weight is specifically according to subscription client the commenting for seller belonging to merchandise news obtained
Valency records calculated.Concrete, this subscription client is carried out for a plurality of evaluation record of seller belonging to merchandise news
Average treatment, obtains the degree of belief weight between seller, described average treatment belonging to this subscription client and described merchandise news
Including arithmetic mean, weighted average or weighted moving average.If described merchandise news is not evaluated record by this subscription client,
Then the degree of belief weight between seller belonging to this subscription client and described merchandise news is set to the initial trust degree power preset
Weight.
Embodiment two, a kind of product search system.The system provided the present embodiment below in conjunction with Fig. 2 is carried out specifically
Bright.
In Fig. 2, the system that the present embodiment provides includes receiving unit 201, preliminary sequencing unit 202, secondary sequencing unit
203, feedback unit 204, information weight calculation unit 205 and degree of belief weight calculation unit 206.
Described reception unit 201, for receiving the commodity key word that subscription client sends, and by described commodity key word
It is divided into field key word and attribute keywords two parts.
Concrete, described reception unit 201 receives the commodity key word that subscription client sends, and described commodity are crucial
Word is divided into field key word and attribute keywords two parts, and wherein, described field key word specifically includes name of product and product
Key data, attribute keywords specifically includes product price, ownership place and categorical data.
Described preliminary sequencing unit 202, for obtaining and the business of this field Keywords matching according to described field key word
Product information, and combine described attribute keywords described merchandise news is tentatively sorted, obtain initial search ranking results.
Concrete, described preliminary sequencing unit 202 carries out matching inquiry to described field key word, obtains closing with this field
The merchandise news of keyword coupling, and combine the described attribute keywords size according to the matching rate of field key word to described commodity
Information carries out descending and tentatively sorts, and obtains initial search ranking results.
Described secondary sequencing unit 203, for according to calculated Commodity Information Search weight and commodity degree of belief
Weight, carries out two minor sorts to described merchandise news on the basis of initial search ranking results, obtains final searching order knot
Really.
Described information weight calculation unit 205, for calculated according to the Commodity Information Search weight parameter obtained
Commodity Information Search weight, wherein, described Commodity Information Search weight parameter specifically include commodity conclusion of the business number of times, inquiry number of times,
Consulting number of times, the total access number of user, the total access number of webpage, the scoring of wall scroll product and supplier's scoring.
Described degree of belief weight calculation unit 206, for selling for belonging to merchandise news according to the subscription client obtained
The evaluation record of family is calculated commodity degree of belief weight.
Concrete, described information weight calculation unit 205 is calculated according to the Commodity Information Search weight parameter obtained
Commodity Information Search weight, wherein, described Commodity Information Search weight parameter specifically include commodity conclusion of the business number of times, inquiry time
Number, consulting number of times, the total access number of user, the total access number of webpage, the scoring of wall scroll product and supplier's scoring.
Described degree of belief weight calculation unit 206 is according to subscription client the commenting for seller belonging to merchandise news obtained
Valency record is calculated commodity degree of belief weight.
Described secondary sequencing unit 203 is regular according to described information weight calculation unit 205 according to default weight calculation
The described Commodity Information Search weight obtained and the commodity degree of belief power obtained according to described degree of belief weight calculation unit 206
Re-computation obtains the comprehensive weight of commodity, and the size of comprehensive weight according to commodity on the basis of initial search ranking results
Described merchandise news is carried out descending two minor sort.
Described feedback unit 204, for feeding back to subscription client by described final searching order result.
Concrete, described reception unit 201 receives the commodity key word that subscription client sends, and described commodity are crucial
Word is divided into field key word and attribute keywords two parts；Described preliminary sequencing unit 202 obtains according to described field key word
With the merchandise news of this field Keywords matching, and combine described attribute keywords described merchandise news tentatively sorted,
Obtain initial search ranking results；Described secondary sequencing unit 203 is according to calculated Commodity Information Search weight and business
Product degree of belief weight, carries out two minor sorts to described merchandise news on the basis of initial search ranking results, is finally searched
Rope ranking results；Described final searching order result is fed back to subscription client by described feedback unit 204.
A kind of product search method of present invention offer and system, it is possible to the commodity key word sent according to client, pin
To different clients, it is first according to commodity key word and tentatively sorts, then according to Commodity Information Search weight and difference
Subscription client carries out two minor sorts for the degree of belief weight of different commodity, and different subscription clients obtains different search
As a result, the merchandise news needed by subscription client feeds back to subscription client according to optimum sortord, meets user's
Individual variation, and improve the accuracy of search.
The foregoing is only presently preferred embodiments of the present invention, not in order to limit the present invention, all spirit in the present invention and
Within principle, any modification, equivalent substitution and improvement etc. made, should be included within the scope of the present invention.
Claims (10)
1. a product search method, it is characterised in that described method includes:
The commodity key word that S101, reception subscription client send, and described commodity key word is divided into field key word and genus
Property key word two parts；
S102, obtain and the merchandise news of this field Keywords matching according to described field key word, and combine described attribute and close
Described merchandise news is tentatively sorted by keyword, obtains initial search ranking results；
S103, according to calculated Commodity Information Search weight and commodity degree of belief weight, at initial search ranking results
On the basis of described merchandise news is carried out two minor sorts, obtain final searching order result, and by described final searching order
Result feeds back to subscription client.
2. a kind of product search method as claimed in claim 1, it is characterised in that field key word described in described S101 has
Body includes name of product and product key data, and attribute keywords specifically includes product price, ownership place and categorical data.
3. a kind of product search method as claimed in claim 2, it is characterised in that described S102 specifically includes:
Described field key word is carried out matching inquiry, obtains and the merchandise news of this field Keywords matching, and combine described
Attribute keywords carries out descending according to the size of the matching rate of field key word to described merchandise news and tentatively sorts, and obtains preliminary
Searching order result.
4. a kind of product search method as claimed in claim 3, it is characterised in that Commodity Information Search described in described S103
Weight is specifically calculated according to the Commodity Information Search weight parameter obtained, wherein, and described Commodity Information Search weight
Parameter specifically includes commodity conclusion of the business number of times, inquiry number of times, consulting number of times, the total access number of user, the total access number of webpage, wall scroll
Product scoring and supplier's scoring；
Described commodity degree of belief weight is specifically remembered for the evaluation of seller belonging to merchandise news according to the subscription client obtained
Record calculated.
5. a kind of product search method as claimed in claim 4, it is characterised in that according to calculated business in described S103
Product information search weight and commodity degree of belief weight, carried out described merchandise news on the basis of initial search ranking results
Two minor sorts specifically include:
Obtain according to described Commodity Information Search weight and commodity degree of belief weight calculation according to default weight calculation rule
The comprehensive weight of commodity, and on the basis of initial search ranking results the size of comprehensive weight according to commodity to described commodity
Information carries out descending two minor sort.
6. a product search system, it is characterised in that described system includes:
Receive unit, for receiving the commodity key word that subscription client sends, and be divided into field to close described commodity key word
Keyword and attribute keywords two parts；
Preliminary sequencing unit, for obtaining and the merchandise news of this field Keywords matching according to described field key word, and ties
Close described attribute keywords described merchandise news is tentatively sorted, obtain initial search ranking results；
Secondary sequencing unit, for according to calculated Commodity Information Search weight and commodity degree of belief weight, tentatively
On the basis of searching order result, described merchandise news is carried out two minor sorts, obtain final searching order result；
Feedback unit, for feeding back to subscription client by described final searching order result.
7. a kind of product search system as claimed in claim 6, it is characterised in that field described in described reception unit is crucial
Word specifically includes name of product and product key data, and attribute keywords specifically includes product price, ownership place and classification number
According to.
8. a kind of product search system as claimed in claim 7, it is characterised in that described preliminary sequencing unit specifically includes:
Described field key word is carried out matching inquiry, obtains and the merchandise news of this field Keywords matching, and combine described
Attribute keywords carries out descending according to the size of the matching rate of field key word to described merchandise news and tentatively sorts, and obtains preliminary
Searching order result.
9. a kind of product search system as claimed in claim 8, it is characterised in that also include:
Information weight calculation unit, for according to the calculated Commodity Information Search of Commodity Information Search weight parameter obtained
Weight, wherein, described Commodity Information Search weight parameter specifically includes commodity conclusion of the business number of times, inquiry number of times, consulting number of times, user
Total access number, the total access number of webpage, the scoring of wall scroll product and supplier's scoring；
Degree of belief weight calculation unit, is used for the evaluation record for seller belonging to merchandise news of the subscription client according to acquisition
It is calculated commodity degree of belief weight.
10. a kind of product search system as claimed in claim 9, it is characterised in that described secondary sequencing unit specifically includes:
Obtain according to described Commodity Information Search weight and commodity degree of belief weight calculation according to default weight calculation rule
The comprehensive weight of commodity, and on the basis of initial search ranking results the size of comprehensive weight according to commodity to described commodity
Information carries out descending two minor sort.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610474150.5A CN106096026A (en) | 2016-06-24 | 2016-06-24 | A kind of product search method and system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610474150.5A CN106096026A (en) | 2016-06-24 | 2016-06-24 | A kind of product search method and system |
Publications (1)
| Publication Number | Publication Date |
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| CN106096026A true CN106096026A (en) | 2016-11-09 |
Family
ID=57253759
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| Application Number | Title | Priority Date | Filing Date |
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| CN201610474150.5A Pending CN106096026A (en) | 2016-06-24 | 2016-06-24 | A kind of product search method and system |
Country Status (1)
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Cited By (14)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107066549A (en) * | 2017-03-22 | 2017-08-18 | 深圳市恒捷供应链有限公司 | A kind of searching and matching method, apparatus and system |
| CN107153697A (en) * | 2017-05-08 | 2017-09-12 | 浙江敢尚网络科技有限公司 | Product search method and device in a kind of commodity transaction website |
| CN108984630A (en) * | 2018-06-20 | 2018-12-11 | 天津大学 | Application method of the Node Contraction in Complex Networks importance in spam page detection |
| CN109213921A (en) * | 2017-06-29 | 2019-01-15 | 广州涌智信息科技有限公司 | A kind of searching method and device of merchandise news |
| CN109766491A (en) * | 2018-12-18 | 2019-05-17 | 深圳壹账通智能科技有限公司 | Product search method, device, computer equipment and storage medium |
| CN110347912A (en) * | 2019-05-28 | 2019-10-18 | 成都美美臣科技有限公司 | One e-commerce website recommends the rule of search result |
| CN110377830A (en) * | 2019-07-25 | 2019-10-25 | 拉扎斯网络科技（上海）有限公司 | Search method, device, readable storage medium storing program for executing and electronic equipment |
| CN110647679A (en) * | 2019-09-04 | 2020-01-03 | 达疆网络科技(上海)有限公司 | Search result comprehensive ordering method under o2o scene |
| CN111159163A (en) * | 2019-12-31 | 2020-05-15 | 万表名匠(广州)科技有限公司 | Commodity information database generation method, commodity search method and related device |
| CN111353836A (en) * | 2018-12-20 | 2020-06-30 | 百度在线网络技术（北京）有限公司 | Commodity recommendation method, device and equipment |
| 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 |
| CN111651663A (en) * | 2020-04-17 | 2020-09-11 | 世纪保众(北京)网络科技有限公司 | Retrieval method for quickly and completely matching keywords according to user search content |
| CN114485713A (en) * | 2022-02-11 | 2022-05-13 | 龚加淦 | Traffic service intelligent pushing method and system based on big data |
| CN116049741A (en) * | 2023-04-03 | 2023-05-02 | 欧瑞科斯科技产业(集团)有限公司 | Method and device for quickly identifying commodity classification codes, electronic equipment and medium |
-
2016
- 2016-06-24 CN CN201610474150.5A patent/CN106096026A/en active Pending
Cited By (16)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107066549A (en) * | 2017-03-22 | 2017-08-18 | 深圳市恒捷供应链有限公司 | A kind of searching and matching method, apparatus and system |
| CN107153697A (en) * | 2017-05-08 | 2017-09-12 | 浙江敢尚网络科技有限公司 | Product search method and device in a kind of commodity transaction website |
| CN109213921A (en) * | 2017-06-29 | 2019-01-15 | 广州涌智信息科技有限公司 | A kind of searching method and device of merchandise news |
| CN108984630B (en) * | 2018-06-20 | 2021-08-24 | 天津大学 | Application method of node importance in complex network in spam webpage detection |
| CN108984630A (en) * | 2018-06-20 | 2018-12-11 | 天津大学 | Application method of the Node Contraction in Complex Networks importance in spam page detection |
| CN109766491A (en) * | 2018-12-18 | 2019-05-17 | 深圳壹账通智能科技有限公司 | Product search method, device, computer equipment and storage medium |
| CN111353836A (en) * | 2018-12-20 | 2020-06-30 | 百度在线网络技术（北京）有限公司 | Commodity recommendation method, device and equipment |
| CN110347912A (en) * | 2019-05-28 | 2019-10-18 | 成都美美臣科技有限公司 | One e-commerce website recommends the rule of search result |
| CN110377830A (en) * | 2019-07-25 | 2019-10-25 | 拉扎斯网络科技（上海）有限公司 | Search method, device, readable storage medium storing program for executing and electronic equipment |
| CN110377830B (en) * | 2019-07-25 | 2022-03-29 | 拉扎斯网络科技（上海）有限公司 | Retrieval method, retrieval device, readable storage medium and electronic equipment |
| CN110647679A (en) * | 2019-09-04 | 2020-01-03 | 达疆网络科技(上海)有限公司 | Search result comprehensive ordering method under o2o scene |
| CN111159163A (en) * | 2019-12-31 | 2020-05-15 | 万表名匠(广州)科技有限公司 | Commodity information database generation method, commodity search method and related device |
| CN111651663A (en) * | 2020-04-17 | 2020-09-11 | 世纪保众(北京)网络科技有限公司 | Retrieval method for quickly and completely matching keywords according to user search content |
| 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 |
| CN114485713A (en) * | 2022-02-11 | 2022-05-13 | 龚加淦 | Traffic service intelligent pushing method and system based on big data |
| CN116049741A (en) * | 2023-04-03 | 2023-05-02 | 欧瑞科斯科技产业(集团)有限公司 | Method and device for quickly identifying commodity classification codes, electronic equipment and medium |
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