CN109461024A - A kind of recommender system of prepackaged food marking system - Google Patents
A kind of recommender system of prepackaged food marking system Download PDFInfo
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- 238000012216 screening Methods 0.000 claims abstract description 28
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- 238000011156 evaluation Methods 0.000 claims description 15
- 238000004321 preservation Methods 0.000 claims description 8
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- 229910052708 sodium Inorganic materials 0.000 description 6
- 239000011734 sodium Substances 0.000 description 6
- CDBYLPFSWZWCQE-UHFFFAOYSA-L Sodium Carbonate Chemical compound [Na+].[Na+].[O-]C([O-])=O CDBYLPFSWZWCQE-UHFFFAOYSA-L 0.000 description 5
- 235000013618 yogurt Nutrition 0.000 description 5
- RYYVLZVUVIJVGH-UHFFFAOYSA-N caffeine Chemical compound CN1C(=O)N(C)C(=O)C2=C1N=CN2C RYYVLZVUVIJVGH-UHFFFAOYSA-N 0.000 description 4
- 235000013336 milk Nutrition 0.000 description 4
- 239000008267 milk Substances 0.000 description 4
- 210000004080 milk Anatomy 0.000 description 4
- 235000000346 sugar Nutrition 0.000 description 4
- 241001122767 Theaceae Species 0.000 description 3
- LPHGQDQBBGAPDZ-UHFFFAOYSA-N Isocaffeine Natural products CN1C(=O)N(C)C(=O)C2=C1N(C)C=N2 LPHGQDQBBGAPDZ-UHFFFAOYSA-N 0.000 description 2
- UIIMBOGNXHQVGW-UHFFFAOYSA-M Sodium bicarbonate Chemical compound [Na+].OC([O-])=O UIIMBOGNXHQVGW-UHFFFAOYSA-M 0.000 description 2
- 239000000654 additive Substances 0.000 description 2
- 230000000996 additive effect Effects 0.000 description 2
- 235000015895 biscuits Nutrition 0.000 description 2
- 229960001948 caffeine Drugs 0.000 description 2
- VJEONQKOZGKCAK-UHFFFAOYSA-N caffeine Natural products CN1C(=O)N(C)C(=O)C2=C1C=CN2C VJEONQKOZGKCAK-UHFFFAOYSA-N 0.000 description 2
- 235000014633 carbohydrates Nutrition 0.000 description 2
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- 238000009826 distribution Methods 0.000 description 2
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- 238000011161 development Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 239000003814 drug Substances 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000001914 filtration Methods 0.000 description 1
- 235000003599 food sweetener Nutrition 0.000 description 1
- 235000021552 granulated sugar Nutrition 0.000 description 1
- 230000010365 information processing Effects 0.000 description 1
- 230000003993 interaction Effects 0.000 description 1
- JEIPFZHSYJVQDO-UHFFFAOYSA-N iron(III) oxide Inorganic materials O=[Fe]O[Fe]=O JEIPFZHSYJVQDO-UHFFFAOYSA-N 0.000 description 1
- 239000000463 material Substances 0.000 description 1
- 235000016709 nutrition Nutrition 0.000 description 1
- 238000002360 preparation method Methods 0.000 description 1
- 102000004169 proteins and genes Human genes 0.000 description 1
- 108090000623 proteins and genes Proteins 0.000 description 1
- 238000011160 research Methods 0.000 description 1
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
- G06Q30/02—Marketing; Price estimation or determination; Fundraising
- G06Q30/0282—Rating or review of business operators or products
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- Entrepreneurship & Innovation (AREA)
- Economics (AREA)
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Abstract
It include multiple quality elements in the prepackaged food the invention discloses a kind of recommender system of prepackaged food marking system；The recommender system includes: memory module, information acquisition module, quality identification module, identification categorization module, marking screening module, scoring processing module, request module, recommendation process module, feedback module, user interactive module and article is recommended to obtain module.The beneficial effect of above-mentioned technical proposal is: carrying out Quantitative marking processing to the influence factor for influencing prepackaged food quality, combines with intelligent recommendation system, helps user's more relaxedly and rapidly shopping goods.
Description
Technical field
The present invention relates to intelligent recommendation system regions more particularly to a kind of recommender systems of prepackaged food marking 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 marking system, purport are now provided
Quantitative marking processing is being carried out to the influence factor for influencing prepackaged food quality, is being combined with intelligent recommendation system, helps to use
Family more relaxedly and rapidly shopping goods.
Above-mentioned technical proposal specifically includes:
A kind of recommender system of prepackaged food marking system, the prepackaged food include multiple primitive components；
The recommender system includes:
Memory module has pre-saved a quality element standard, a product classification standard, a scoring in the memory module
Screening criteria and a scoring generation strategy；
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；
It identifies categorization module, is separately connected the information acquisition module and the memory module, for using the product
Classification standard, according to food name information, product type, ingredient, production standard for including in the label information etc. to described
Prepackaged food is classified, and generates one for indicating the classification information of the prepackaged food, and save to the storage
In module；
Marking screening module, connects the memory module, and the marking screening module is directed to the same category of pre- packet
Food is filled, using the scoring screening criteria, screening obtains standard compliant wanting as marking from all quality elements
Element；
Score processing module, is separately connected the marking screening module and the memory module, for according to the scoring
It is each described pre- to obtain to carry out scoring processing to the marking element in each prepackaged food respectively for generation strategy
The scoring of packaged food, and save into the memory module；
In in the memory module, the scoring is associated with preservation with the prepackaged food.
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:
Request module, for obtaining user to the recommendation request of the prepackaged food；
Retrieval module is separately connected the memory module and the request module, and the retrieval module is according to
The classification information pointed by recommendation request is searched the corresponding prepackaged food and is exported in the memory module；
Recommendation process module connects the retrieval module, for the scoring 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:
User interactive module connects the memory module, believes for collecting user for the evaluation of the prepackaged food
It ceases and saves 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 is according to the scoring with descending or the side of ascending order
Formula is ranked up.
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: carrying out at Quantitative marking to the influence factor for influencing prepackaged food quality
Reason, combines with intelligent recommendation system, helps user's more relaxedly and rapidly shopping goods.
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 marking 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 marking system
System, prepackaged food includes multiple primitive components；
Recommender system includes:
Memory module 1 has pre-saved a quality element standard, a product classification standard, a scoring sieve in memory module 1
Select standard and a scoring generation strategy；
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；
It identifies categorization module 4, is separately connected information acquisition module 2 and memory module 1, for using product classification standard,
Classified according to the food name information for including in label information to prepackaged food, and generates one for indicating pre-packaged food
The classification information of product, and save into memory module 1；
Marking screening module 5, connects memory module 1, and marking screening module 5 is directed to same category of prepackaged food, adopts
With scoring screening criteria, screening obtains standard compliant as marking element from all quality elements；
Score processing module 6, is separately connected marking screening module 5 and memory module 1, is used for according to scoring generation strategy,
Scoring processing is carried out to obtain the scoring of each prepackaged food to the marking element in each prepackaged food respectively, and is saved
Into memory module 1；
In in memory module 1, scoring is associated with preservation with prepackaged food.
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 and name of product information of prepackaged food in label information.System manager is updated periodically
Supplement the prepackaged food label information in memory module 1.Each label information is established association with corresponding prepackaged food and is closed
System, and save into memory module 1.
System manager imports the quality element standard of completion that pre-establishes into memory module 1, product classification standard, comments
Divide screening criteria and scoring generation strategy.
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 that all qualities for generating prepackaged food are wanted
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.
In above-described embodiment, after having imported the label information of prepackaged food, identification categorization module 4 uses preset production
Product classification standard classifies to prepackaged food according to the name of product information in current prepackaged food label information
Processing, the classification information generated for this prepackaged food are simultaneously saved into memory module 1.
In specific embodiments of the present invention, name of product information of the identification categorization module 4 to prepackaged food " old Yoghourt "
It is identified, be the classification information that prepackaged food " old Yoghourt " generates is " Yoghourt " according to preset product classification standard, and
The product category of " old Yoghourt " is " Yoghourt ".
Prepackaged food is passing through the processing of quality identification module 3 and identification categorization module 4 respectively and is generating quality element
After classification information, screening module 5 of giving a mark is according to preset scoring screening strategy, to the institute of the prepackaged food under same category
There is quality element to be screened, determines the marking element of category prepackaged food.
In specific embodiments of the present invention, classification information is that all quality elements of the prepackaged food of " coffee " include
" sugar content ", " energy ", " protein content " and " content of caffeine ", marking screening module 5 are screened according to preset scoring
Strategy selects " sugar content ", " energy " and " content of caffeine " to beat as classification information for the prepackaged food of " coffee "
Sub-element.
The processing module 6 that scores carries out the marking element of every a prepackaged food according to preset scoring generation strategy
Scoring processing, carries out corresponding bonus point or deduction to overall score to obtain the scoring of this prepackaged food, scoring with it is pre-packaged
Food association is saved into memory module 1.
Overall score can be set to 100 points or other suitable score values.
One threshold value is arranged to each marking element, threshold value is higher or lower than according to marking element and determines commenting for marking element
It is divided into just dividing or bearing and divides, in specific embodiments of the present invention, all qualities of the prepackaged food of a entitled " plain chocolate " is wanted
In element, beating for " energy ", " protein content ", " fat content ", " carbohydrate " and " sodium content " is obtained by screening
Sub-element, and successively score above-mentioned marking element, wherein by the average value of " fat content " of " plain chocolate " of same type
It is set as the threshold value of marking element, and threshold value is 3.2g/100mL, " fat content " of this " plain chocolate " is 3.6g/100mL, i.e.,
Higher than threshold value, then this " plain chocolate " in " fat content ", this marking element scoring is positive point.
However, the average value of " sodium content " of " plain chocolate " of same type to be set as to the threshold value of marking element, and threshold value
For 50mg/100mL, " sodium content " of this " plain chocolate " is 53mg/100mL, that is, be higher than threshold value, then this " plain chocolate "
" sodium content " this marking element scoring is negative point.
Further, scoring generation strategy is that whole marking elements of same category of prepackaged food preset a weight
Value, weighted value adduction are 100%, and weighted value is preset with different weight proportion distribution sides according to different classes of prepackaged food
Method.
In specific embodiments of the present invention, classification information is that the marking element of the prepackaged food of " biscuit " includes " energy
Amount ", " protein content ", " fat content ", " sodium content ", according to for the pre- of the prepackaged food that classification information is " biscuit "
If weighted value distribution method, the weighted value of " energy " and " sodium content " is respectively 30%, and the weighted value of " fat content " is
20%, the weighted value of " protein content " is 10%.
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 scoring screening criteria include multiple and different secondary standards,
The corresponding prepackaged food with a classification of each secondary standard；The generation strategy that scores includes multiple and different substrategy, often
A substrategy corresponds to the prepackaged food of a classification.
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, in above-described embodiment, if user does not search oneself desired prepackaged food, Ke Yitong in systems
It crosses text input, take pictures and the mode of screenshot, voluntarily upload the label information of prepackaged food, quality identification module 3 and know
Other categorization module 4 can carry out the identification of quality element and the generation of classification information, marking to the label information that user uploads automatically
The screening and scoring for carrying out marking element of screening module 5 and scoring processing module 6 to the prepackaged food, score and pre-packaged
Food association is saved into memory module 1.
In above-described embodiment, user can directly scan the bar code of prepackaged food with use information acquisition module 2, read
Take and upload the label information of prepackaged food, the mark that quality identification module 3 and identification categorization module 4 can automatically upload user
It signs information and carries out the identification of quality element and the generation of classification information, marking screening module 5 and scoring processing module 6 are to the pre- packet
The screening and scoring for carrying out marking element of dress food, scoring are associated with preservation with prepackaged food into memory module 1.
In preferred embodiment of the invention, further includes:
Request module 7, for obtaining user to the recommendation request of prepackaged food；
Retrieval module 8 is separately connected memory module 1 and request module 7, and retrieval module 8 is according to recommendation request meaning
To classification information, corresponding prepackaged food is searched in memory module 1 and is exported；
Recommendation process module 9, chained search module 8, for defeated to retrieval module 8 according to the scoring 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, in specific embodiments of the present invention, request module 7 is receiving user for prepackaged food
After classification information is the recommendation request of " milk ", retrieval module 8 is searched all pre- under " milk " classification in memory module 1
Packaged food；Recommendation process module 9 is ranked up simultaneously according to the scoring for the prepackaged food for meeting recommendation request in memory module 1
Form a recommendation results；Recommend feedback module 10 to user feedback recommendation results.
In preferred embodiment of the invention, further includes:
User interactive module 11 connects memory module 1, for collecting evaluation information and guarantor of the user for prepackaged food
It deposits 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 11 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 scoring, it is previously provided in memory module 1 and unfavorable ratings
Relevant keywords database, multiple keywords in keywords database are associated with a marking element of prepackaged food；User's interaction
Module 11 identifies the keyword in the evaluation information of user, if identifying the relevant keyword of unfavorable ratings, then sentences
Fixed this evaluation information is unfavorable ratings.
In specific embodiments of the present invention, the marking element of prepackaged food " milk tea " includes " mouth of user experience level
Feel greasy ".If identifying the relevant keyword such as " sweet " unfavorable ratings from evaluation information, then this evaluation information is determined
For unfavorable ratings.
A default first threshold, if it is more than first threshold, the processing module that scores 6 that unfavorable ratings, which account for the ratio all evaluated,
One preset first score value is lowered to the scoring for the associated marking element of keyword that the unfavorable ratings include；Default one second
Threshold value, if it is more than second threshold that unfavorable ratings, which account for the ratio all evaluated, the processing module that scores 6 includes to the unfavorable ratings
Keyword it is associated marking element scoring lower preset second score value；A default third threshold value, if unfavorable ratings account for
The ratio all evaluated is more than third threshold value, then the keyword that the processing module that scores 6 includes to the unfavorable ratings is associated to be beaten
The scoring of sub-element is adjusted downward to a preset third score value.Scoring after downward is saved into memory module 1.
In above-described embodiment, the marking element of prepackaged food " milk tea " includes " mouthfeel is greasy " of user experience level.
If it is more than 60% that the unfavorable ratings of " mouthfeel is greasy ", which account for the ratio all evaluated, the scoring of " mouthfeel is greasy " lowers 15 points；If
It is more than 80% that the unfavorable ratings of " mouthfeel is greasy ", which account for the ratio all evaluated, then the scoring of " mouthfeel is greasy " lowers 30 points；If " mouth
Feel greasy " unfavorable ratings to account for the ratio all evaluated be more than 90%, then be adjusted to 0 point under the scoring of " mouthfeel is greasy ".
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 is according to scoring with descending or ascending order
Mode be ranked up.
Specifically, recommendation process module 9 is descending row to the default sort mode for the prepackaged food for meeting recommendation request
Column are arranged according to the sequence of the scoring of prepackaged food from high to low；The sortord for being supplied to user's selection further includes rising
Sequence arrangement is arranged according to the sequence of the scoring of prepackaged food from low to high.
In preferred embodiment of the invention, further includes:
Article obtains module 12, 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 7 obtains user to the recommendation request of prepackaged food, article obtains module 12
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 12 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 (7)
1. a kind of recommender system of prepackaged food marking system, which is characterized in that the prepackaged food include it is multiple it is original at
Point；
The recommender system includes:
Memory module has pre-saved a quality element standard, a product classification standard, a scoring screening in the memory module
Standard and a scoring generation strategy；
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；
It identifies categorization module, is separately connected the information acquisition module and the memory module, for using the product classification
Standard classifies to the prepackaged food according to the food name information for including in the label information, and generates one and use
In the classification information for indicating the prepackaged food, and save into the memory module；
Marking screening module, connects the memory module, and the marking screening module is directed to the same category of pre-packaged food
Product, using the scoring screening criteria, screening obtains standard compliant as marking element from all quality elements；
Score processing module, is separately connected the marking screening module and the memory module, for being generated according to the scoring
It is each described pre-packaged to obtain to carry out scoring processing to the marking element in each prepackaged food respectively for strategy
The scoring of food, and save into the memory module；
In in the memory module, the scoring is associated with preservation with the prepackaged food.
2. a kind of recommender system of prepackaged food marking 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 marking system according to claim 1, which is characterized in that further include:
Request module, for obtaining user to the recommendation request of the prepackaged food；
Retrieval module is separately connected the memory module and the request module, and the retrieval module is according to the recommendation
The pointed classification information of request, searches the corresponding prepackaged food and is exported in the memory module；
Recommendation process module connects the retrieval module, for according to the scoring 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 marking system according to claim 3, which is characterized in that further include:
User interactive module connects the memory module, is directed to the evaluation information of the prepackaged food simultaneously for collecting user
It saves 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.
5. a kind of recommender system of prepackaged food marking 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.
6. a kind of recommender system of prepackaged food marking system according to claim 3, which is characterized in that in the recommendation
As a result in, the prepackaged food is ranked up in a manner of descending or ascending order according to the scoring.
7. a kind of recommender system of prepackaged food marking 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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| CN110400621A (en) * | 2019-07-03 | 2019-11-01 | 浙江忧点网络科技有限公司 | A kind of food recommends custom-built system and method |
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| 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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| CN101271558A (en) * | 2008-05-16 | 2008-09-24 | 华东师范大学 | Multi-policy commercial product recommending system based on context information |
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