CN109460510A - A kind of recommender system of prepackaged food label system - Google Patents
A kind of recommender system of prepackaged food label system Download PDFInfo
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Abstract
It include multiple primitive components in the prepackaged food the invention discloses a kind of recommender system of prepackaged food label system；The recommender system includes: memory module, information acquisition module, quality identification module, label generation module, association process module, request recommending module, matching module, retrieval module, recommendation process module, feedback module, label screening module, user interactive module and article is recommended to obtain module.The beneficial effect of above-mentioned technical proposal is: being analyzed the factor that will affect product quality that can be identified from prepackaged food label and is generated label, combine with intelligent recommendation system, user is helped to be quickly found out most suitable product.
Description
Technical field
The present invention relates to commercial product recommending system field more particularly to a kind of recommender systems of prepackaged food label system.
Background technique
With the development of information technology and internet, people gradually from the epoch of absence of information entered into information overload when
Generation, consumer face numerous selections, unknown field, overload information when, often feel at a loss；At the same time, Shang Jiaye
Suitable consumer is earnestly being sought, most convenient and fast channel is found.In this epoch, it is either used as consumer or conduct
The producer encounters very big challenge.As consumer, it is interested most suitable that oneself how is found from a large amount of commodity
The commodity of oneself are a very difficult things.And as the producer, the commodity for how allowing oneself to produce are shown one's talent, by
The welcome of the majority of consumers and a very difficult thing, solving this kind of contradictory best tool is exactly recommender system.
Recommender system genesis has the technology largely communicated both in first floor system in search system, but in Xiang Yingyong
In family demand and the scene of generation application, recommender system is further from user: on the one hand, defining when the demand of user is specific
When, it scans for；When user demand is indefinite or beyond expression of words, demand recommendation is carried out.On the other hand, when user needs to look for certain
Under a field when generally acknowledged, popular content, scan for；When user needs to look for personalized content, recommended.Very much
Under scene, the individual demand of user is difficult to be converted into brief specific query word, such as " this noon is wanted to look near a
, restaurant meeting my taste, consumption is inexpensive " as demand, it is very common but be difficult to be expressed clearly with query word.It pushes away
This blank can be filled up just by recommending system, and user is helped to determine what product bought, and pseudo sale personnel help client
Complete purchasing process, can also Characteristic of Interest according to user and buying behavior, to the interested commodity of user recommended user and
Information.Recommender system contacts user and information, on the one hand helps user's discovery to oneself valuable information, and on the other hand allows
Information can be presented in face of the user being interested in it, to realize information consumer and the two-win of information producer.
There is asking for recommendation effect difference in existing recommender system either commending contents algorithm or collaborative filtering
Topic, it is maximum that the way of recommendation that exploring can allow consumer quickly and easily to choose oneself desired commodity becomes recommender system
One of project.
Summary of the invention
According to the above-mentioned problems in the prior art, a kind of recommender system of prepackaged food label system, purport are now provided
Label is being analyzed the factor that will affect product quality that can be identified from prepackaged food label and is being generated, with intelligence
Energy recommender system combines, and user is helped more relaxedly and rapidly to buy product.
Above-mentioned technical proposal specifically includes:
A kind of prepackaged food marks the recommender system of system, includes multiple primitive components in the prepackaged food；
The recommender system includes:
Memory module has pre-saved a quality element standard, a label generation strategy, a label in the memory module
Screening criteria and a keywords database；
Information acquisition module connects the memory module, for obtaining label information and the preservation of the prepackaged food
In the memory module；
Quality identification module is separately connected the information acquisition module and the memory module, for described pre-packaged
The label information of food is identified, according to the quality element standard, described in matching in the label information
Primitive component is identified as quality element and saves into the memory module；
Generation module is marked, the memory module is connected, for using the label generation strategy, for each described pre-
Packaged food generates at least one according to the corresponding quality element and marks and store into the memory module；
Association process module is separately connected the label generation module and the memory module, for being to mark described in every class
Note generates multiple corresponding keywords, and the keyword is associated with preservation into the memory module with the label；
In the memory module, each prepackaged food has at least one described label.
Preferably, the information acquisition module is supplied to the label letter that user is manually entered the prepackaged food
Breath；And/or
The information acquisition module is by scanning the bar code on the prepackaged food to obtain the label information.
Preferably, further includes:
Recommending module is requested, for obtaining user for the recommendation request of the prepackaged food；
Matching module is separately connected the memory module and the request recommending module, for the recommendation request to exist
It is matched in the keywords database, generates at least one described keyword；
Retrieval module is separately connected the memory module and the matching module, the pass for being generated according to matching
The corresponding label of keyword carries out searching in the memory module comprising the prepackaged food of the label and defeated
Out；
Recommendation process module connects the retrieval module, for the label pair according to each prepackaged food
All prepackaged foods of the retrieval module output are ranked up, and according to the prepackaged food shape by sequence
At a recommendation results and export；
Recommend feedback module, connect the recommendation process module, is used for recommendation results described in user feedback.
Preferably, further includes:
Label screening module connects the memory module, and the label screening module is directed to each prepackaged food,
Using the corresponding label screening standard, screening obtains standard compliant as the pre-packaged food from all labels
The main mark of product, and save into the memory module；
It is described to recommend feedback module into the recommendation results of user feedback including the institute of each prepackaged food
State main mark.
Preferably, described to recommend feedback module according to the label for including in the recommendation request all display requests, Xiang Yong
Feed back all labels of the prepackaged food in family.
Preferably, further includes:
User interactive module connects the memory module, for collecting user to the evaluation information of the prepackaged food
And save into the memory module, the evaluation information is associated with preservation with the prepackaged food；
It is described to recommend feedback module into the recommendation results of user feedback including the institute of each prepackaged food
State evaluation information.
Preferably, the quality element standard includes that pre-set can influence user and select the prepackaged food
All primitive components of decision.
Preferably, in Yu Suoshu recommendation results, the prepackaged food according to the corresponding keyword of the label with
The degree of correlation of the recommendation request is ranked up in a manner of descending.
Preferably, further includes:
Article obtains module, connects the memory module, for collecting about the prepackaged food and/or the pre- packet
The scientific popular article of the quality element in food is filled, and is saved into the memory module；
It include being associated with the prepackaged food and/or described in the recommendation results of recommendation process module output
The scientific popular article of the quality element in prepackaged food.
The beneficial effect of above-mentioned technical proposal is: will affect product product to what can be identified from prepackaged food label
Label is analyzed and generated to qualitative factor, is combined with intelligent recommendation system, and user is helped more relaxedly and rapidly to buy product.
Detailed description of the invention
With reference to appended attached drawing, to be described more fully the embodiment of the present invention.However, appended attached drawing be merely to illustrate and
It illustrates, and is not meant to limit the scope of the invention.
Fig. 1 is a kind of structure of the recommender system of prepackaged food label system in a kind of preferably embodiment of the invention
Schematic diagram；
Specific embodiment
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete
Site preparation description, it is clear that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.It is based on
Embodiment in the present invention, those of ordinary skill in the art without creative labor it is obtained it is all its
His embodiment, shall fall within the protection scope of the present invention.
It should be noted that in the absence of conflict, the feature in embodiment and embodiment in the present invention can phase
Mutually combination.
The present invention will be further explained below with reference to the attached drawings and specific examples, but not as the limitation of the invention.
Based on the above-mentioned problems in the prior art, the present invention provides a kind of recommendation system of prepackaged food label system
It unites, includes multiple primitive components in prepackaged food；
Recommender system includes:
Memory module 1 has pre-saved a quality element standard, a label generation strategy, a label sieve in memory module 1
Select standard and a keywords database；
Information acquisition module 2 connects memory module 1, for obtaining the label information of prepackaged food and being stored in storage
In module 1；
Quality identification module 3 is separately connected information acquisition module 2 and memory module 1, for the label to prepackaged food
Information is identified, according to quality element standard, the primitive component to match in label information is identified as quality element and is protected
It deposits into memory module 1；
Generation module 4 is marked, memory module 1 is connected, for using label generation strategy, for each prepackaged food,
At least one is generated according to corresponding quality element to mark and store into memory module 1；
Association process module 5 is separately connected label generation module 4 and memory module 1, multiple for generating for every class label
Corresponding keyword, keyword and label are associated with preservation into memory module 1；
In memory module 1, each prepackaged food is at least one label.
Specifically, system manager imports the label letter for the prepackaged food collected and arranged in advance into memory module 1
It ceases, includes the primitive component information of prepackaged food in label information.System manager is updated periodically or supplements memory module 1
In prepackaged food label information.Each label information and corresponding prepackaged food establish incidence relation, and save to depositing
It stores up in module 1.
System manager imports the quality element standard for pre-establishing completion, label generation strategy, mark into memory module 1
Remember screening criteria and keywords database.
After having imported the label information of prepackaged food, quality identification module 3 is according to preset quality element standard, to working as
The primitive component to match in the label information of preceding prepackaged food is identified, whole product of prepackaged food are generated
Matter element is simultaneously saved into memory module 1.
In above-described embodiment, quality identification module 3 identifies the primitive component of prepackaged food, according to quality element mark
Standard screens primitive component, obtains the quality element of prepackaged food, and save into memory module 1.
Prepackaged food marks 4 basis of generation module after the processing of quality identification module 3 and after generating quality element
Preset label generation strategy generates at least one mark according to corresponding quality element for each prepackaged food
Remember and stores into memory module 1；
In specific embodiments of the present invention, the keyword of prepackaged food " organic fresh milk " includes " high protein ", association
Processing module 5 is that keyword " high protein " generates multiple labels, e.g., " high-quality ", " protein allergies person ", " body-building personage " etc.,
And keyword is associated with preservation into memory module 1 with label.
It should be noted that above-mentioned all standards and strategy be all using policy, standard, document as objective basis,
In, policy includes the national health health committee, the People's Republic of China (PRC), market surveillance management general bureau, General Administration of Customs, the Ministry of Agriculture
Bulletin, administrative regulation, the department regulation etc. of equal government departments' publication；Standard includes People's Republic of China's mandatory standard, pushes away
The property recommended standard, professional standard and European Union, the U.S., Japan etc. have the international standard of larger impact power；Document includes medicine neck
The paper that the authoritative journal of domain and field of food is delivered, such as lancet, SCI.In ten hundreds of data, by climbing
The technological means such as worm, search, further according to what is formulated after the retrieval research of professional team.
It should be further noted that quality element standard and label screening standard include multiple and different secondary standards,
Each secondary standard both corresponds to a prepackaged food；Marking generation strategy includes multiple and different substrategies, every sub- plan
Slightly correspond to a prepackaged food.
In preferred embodiment of the invention, information acquisition module 2 is supplied to the mark that user is manually entered prepackaged food
Sign information；And/or
Information acquisition module 2 is by the bar code on scanning prepackaged food to obtain label information.
Specifically, if user does not search oneself desired prepackaged food in systems, it can be inputted, be clapped by text
According to and screenshot mode, voluntarily upload prepackaged food label information.User can be direct with use information acquisition module 2
The bar code for scanning prepackaged food, reads and uploads the label information of prepackaged food.
In above-described embodiment, if user does not search oneself desired prepackaged food in systems, text can be passed through
It inputs, take pictures and the mode of screenshot, voluntarily upload the label information of prepackaged food.Quality identification module 3 is automatically to user
The label information of upload carries out the identification of quality element.Meanwhile system is generated according to the title or main component of prepackaged food
The classification information of prepackaged food, and save into memory module 1.
In preferred embodiment of the invention, further includes:
Recommending module 6 is requested, for obtaining user for the recommendation request of prepackaged food；
Matching module 7 is separately connected memory module 1 and request recommending module 6, is used for recommendation request in keywords database
It is matched, generates at least one keyword；
Retrieval module 8 is separately connected memory module 1 and matching module 7, and the keyword for being generated according to matching is corresponding
Label carries out searching the prepackaged food comprising label and output in memory module 1；
Recommendation process module 9, chained search module 8, for defeated to retrieval module 8 according to the label of each prepackaged food
All prepackaged foods out are ranked up, and are formed a recommendation results according to the prepackaged food by sequence and exported；
Recommend feedback module 10, connect recommendation process module 9, is used for user feedback recommendation results.
Specifically, request module is after receiving the recommendation request of user, and matching module 7 is by recommendation request in key
It is matched in dictionary, generates at least one keyword；The corresponding label of keyword that retrieval module 8 is generated according to matching,
It carries out searching the prepackaged food comprising label in memory module 1；Recommendation process module 9 is according to the label of each prepackaged food
All prepackaged foods exported to retrieval module 8 are ranked up, and are formed one according to the prepackaged food by sequence and recommended
As a result；Recommend feedback module 10 to user feedback recommendation results.
In specific embodiments of the present invention, recommendation request of the user to label recommender system input " organic milk ", matching
It is " organic milk " that module 7 matches keyword in keywords database, and the corresponding label of keyword " organic milk " is organic " and " ox
Milk ", retrieval module 8 searched in memory module 1 include " organic " and/or " milk " label all prepackaged foods, then
It sorts via recommendation process module 9 to prepackaged food and forms recommendation results, feedback module 10 is recommended to feed back recommendation results
To user.
In preferred embodiment of the invention, further includes:
Label screening module 11, connect memory module 1, label screening module 11 be directed to each prepackaged food, using pair
The label screening standard answered, screening obtains the standard compliant main mark as prepackaged food from all labels, and protects
It deposits into memory module 1；
Recommending feedback module 10 includes the main mark of each prepackaged food into the recommendation results of user feedback.
Specifically, in above-described embodiment, prepackaged food " organic fresh milk " generate all labels include " milk ",
" organic ", " high protein ", " replenishing the calcium ", " helping to grow tall ", " Cardia Salt " and " additive-free ", according under label screening standard
The secondary standard for " organic fresh milk " in, definition main mark be the highest label of user's attention rate, select " organic ",
" high protein ", " replenishing the calcium ", " helping to grow tall " and " additive-free " five labels are used as prepackaged food " organic fresh milk "
Main mark, five main marks be associated with prepackaged food preservation into memory module 1, and be included in recommendation results to
User feedback.
User's attention rate determines that number is got over according to the number for marking corresponding keyword to be identified from recommendation request
More, attention rate is higher.
In preferred embodiment of the invention, feedback module 10 is recommended all to be shown according to the label for including in recommendation request
Request, to all labels of user feedback prepackaged food.
Specifically, in above-described embodiment, user shows whole labels of " organic fresh milk " to system request, then is recommending
It as a result further include the label such as " milk " and " low sodium " in addition to main mark.
In preferred embodiment of the invention, further includes:
User interactive module 12 connects memory module 1, for collecting evaluation information and preservation of the user to prepackaged food
Into memory module 1, evaluation information is associated with preservation with prepackaged food；
Recommending feedback module 10 includes the evaluation information of each prepackaged food into the recommendation results of user feedback.
Specifically, for user after having purchased prepackaged food by recommender system, user interactive module 12 collects user couple
The evaluation information of this prepackaged food, evaluation information can be associated to the label of prepackaged food, browse in next bit user
When the prepackaged food, evaluation information is pushed to user automatically by system.
During recommending prepackaged food to user by label, it is previously provided in memory module 1 and unfavorable ratings
Relevant keywords database, multiple keywords in keywords database are associated with a label of prepackaged food, to evaluation information into
The identification of row keyword, if identifying the relevant keyword of unfavorable ratings, then determines this comment information for unfavorable ratings.System
A default threshold value, if it is more than the threshold value that unfavorable ratings, which account for the ratio all evaluated, system is automatically deleted associated by the keyword
Label.
In specific embodiments of the present invention, label " rouge of the user interactive module 12 to a prepackaged food " old Yoghourt "
Fat content is low " identification of evaluation information keyword is carried out, if identifying the keyword of " fat content is high " or " label is not met ",
Then determine this comment information for unfavorable ratings.The threshold value of systemic presupposition is set as 50%, and unfavorable ratings account for the ratio all evaluated
Example is more than 50%, then system is automatically deleted label associated by keyword " fat content height " or " label is not met " " fat contains
It measures low ".
In preferred embodiment of the invention, quality element standard includes that pre-set can influence user and select pre- packet
Fill all primitive components of the decision of food.
Specifically, in specific embodiments of the present invention, the raw information of " soda " generally comprise " sodium bicarbonate ",
" white granulated sugar " or " sweetener ", " water " and other supplementary materials and additive, nutritional ingredient include " heat ", " protein ", " rouge
Fat " and " carbohydrate " etc. can filter out " energy from the raw information of " soda " according to the quality element standard
Amount ", " sugar content " and " additive " these three quality elements.
In preferred embodiment of the invention, in recommendation results, prepackaged food according to mark corresponding keyword with
The degree of correlation of recommendation request is ranked up in a manner of descending.
Specifically, recommendation process module 9 extracts the classification information of prepackaged food associated with keyword, and output is being wrapped
All prepackaged foods containing above-mentioned classification information.
In above-described embodiment, recommendation process module 9 is to the default sort mode for the prepackaged food for meeting recommendation request
Descending arrangement, prepackaged food are arranged in a manner of descending according to the degree of correlation of the corresponding keyword of label and recommendation request
Sequence is arranged according to the sequence of degree of correlation from high to low.
It is that " I wants organic milk according to content in specific embodiments of the present invention." the keyword that identifies of recommendation request
It is corresponding label be it is organic ", " milk ", wherein the label of a prepackaged food " organic fresh milk " include " organic " and
The label of " milk ", another money prepackaged food " plain chocolate " includes " milk ", then put in order for " organic fresh milk ",
" plain chocolate ".
In preferred embodiment of the invention, further includes:
Article obtains module 13, connects memory module 1, for collecting about in prepackaged food and/or prepackaged food
Quality element scientific popular article, and save into memory module 1；
It include being associated in prepackaged food and/or prepackaged food in the recommendation results that recommendation process module 9 exports
The scientific popular article of quality element.
Specifically, after request module obtains user to the recommendation request of prepackaged food, article obtains module 13
It is automatic to obtain the scientific popular article about the quality element in prepackaged food and/or prepackaged food and save to memory module 1
In, it include scientific popular article in the recommendation results that recommendation process module 9 generates, scientific popular article is set to the pre- packet for meeting recommendation request
It fills below food, is supplied to user's reading.
Scientific popular article is divided into news comment, product testing and existence general knowledge according to the type of content.Specific reality of the invention
It applies in example, article obtains module 13 with " soda " as keyword, obtains as " 12 ounces of soda probably has 10 tea spoons
Sugar you determine that you do not mind ", the articles such as " weight-reducing cannot pretend to make great efforts also to take frequently the soda of a big bottle height heat ", and
After arranging title and link, show in the lower section of recommendation results.
The foregoing is merely preferred embodiments of the present invention, are not intended to limit embodiments of the present invention and protection model
It encloses, to those skilled in the art, should can appreciate that all with made by description of the invention and diagramatic content
Equivalent replacement and obviously change obtained scheme, should all be included within the scope of the present invention.
Claims (9)
1. a kind of recommender system of prepackaged food label system, which is characterized in that include multiple original in the prepackaged food
Ingredient；
The recommender system includes:
Memory module has pre-saved a quality element standard, label a generation strategy, a label screening in the memory module
Standard and a keywords database；
Information acquisition module connects the memory module, for obtaining the label information of the prepackaged food and being stored in institute
It states in memory module；
Quality identification module is separately connected the information acquisition module and the memory module, for the prepackaged food
The label information identified, it is described original by what is matched in the label information according to the quality element standard
Ingredient is identified as quality element and saves into the memory module；
Generation module is marked, the memory module is connected, for using the label generation strategy, for each described pre-packaged
Food generates at least one according to the corresponding quality element and marks and store into the memory module；
Association process module is separately connected the label generation module and the memory module, for giving birth to mark described in every class
At multiple corresponding keywords, the keyword is associated with preservation into the memory module with the label；
In the memory module, each prepackaged food has at least one described label.
2. a kind of recommender system of prepackaged food label system according to claim 1, which is characterized in that the information is adopted
Collection module is supplied to the label information that user is manually entered the prepackaged food；And/or
The information acquisition module is by scanning the bar code on the prepackaged food to obtain the label information.
3. a kind of recommender system of prepackaged food label system according to claim 1, which is characterized in that further include:
Recommending module is requested, for obtaining user for the recommendation request of the prepackaged food；
Matching module is separately connected the memory module and the request recommending module, is used for the recommendation request described
It is matched in keywords database, generates at least one described keyword；
Retrieval module is separately connected the memory module and the matching module, the keyword for being generated according to matching
The corresponding label is carried out searching the prepackaged food comprising the label and be exported in the memory module；
Recommendation process module connects the retrieval module, for according to the label of each prepackaged food to described
All prepackaged foods of retrieval module output are ranked up, and form one according to the prepackaged food by sequence
Recommendation results simultaneously export；
Recommend feedback module, connect the recommendation process module, is used for recommendation results described in user feedback.
4. a kind of recommender system of prepackaged food label system according to claim 3, which is characterized in that further include:
Label screening module connects the memory module, and the label screening module is directed to each prepackaged food, uses
The corresponding label screening standard, screening obtains standard compliant as the prepackaged food from all labels
Main mark, and save into the memory module；
It is described to recommend feedback module into the recommendation results of user feedback including the master of each prepackaged food
It marks.
5. a kind of recommender system of prepackaged food label system according to claim 4, which is characterized in that described to recommend instead
Feedback module is according to the label for including in the recommendation request all display requests, to all of prepackaged food described in user feedback
The label.
6. a kind of recommender system of prepackaged food label system according to claim 3, which is characterized in that further include:
User interactive module connects the memory module, for collecting evaluation information and guarantor of the user to the prepackaged food
It deposits into the memory module, the evaluation information is associated with preservation with the prepackaged food；
It is described to recommend feedback module into the recommendation results of user feedback including institute's commentary of each prepackaged food
Valence information.
7. a kind of recommender system of prepackaged food label system according to claim 1, which is characterized in that the quality is wanted
Plain standard includes the pre-set all primitive components that can be influenced user and select the decision of the prepackaged food.
8. a kind of recommender system of prepackaged food label system according to claim 3, which is characterized in that in the recommendation
As a result in, the prepackaged food is according to the degree of correlation of the corresponding keyword of the label and the recommendation request to drop
The mode of sequence is ranked up.
9. a kind of recommender system of prepackaged food label system according to claim 3, which is characterized in that further include:
Article obtains module, connects the memory module, for collecting about the prepackaged food and/or the pre-packaged food
The scientific popular article of the quality element in product, and save into the memory module；
It include being associated with the prepackaged food and/or the pre- packet in the recommendation results of the recommendation process module output
Fill the scientific popular article of the quality element in food.
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Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104424201A (en) * | 2013-08-21 | 2015-03-18 | 富士通株式会社 | Method and device for providing food safety information |
| CN105205698A (en) * | 2015-09-17 | 2015-12-30 | 百度在线网络技术（北京）有限公司 | Food information processing method and device |
| US20170004562A1 (en) * | 2013-02-14 | 2017-01-05 | Wine Ring, Inc. | Recommendation system based on group profiles of personal taste |
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2018
- 2018-10-17 CN CN201811211329.7A patent/CN109460510A/en active Pending
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20170004562A1 (en) * | 2013-02-14 | 2017-01-05 | Wine Ring, Inc. | Recommendation system based on group profiles of personal taste |
| CN104424201A (en) * | 2013-08-21 | 2015-03-18 | 富士通株式会社 | Method and device for providing food safety information |
| CN105205698A (en) * | 2015-09-17 | 2015-12-30 | 百度在线网络技术（北京）有限公司 | Food information processing method and device |
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