CN109117082A - A kind of beauty recommender system based on caching - Google Patents
A kind of beauty recommender system based on caching Download PDFInfo
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- CN109117082A CN109117082A CN201710487984.4A CN201710487984A CN109117082A CN 109117082 A CN109117082 A CN 109117082A CN 201710487984 A CN201710487984 A CN 201710487984A CN 109117082 A CN109117082 A CN 109117082A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
- G06F3/06—Digital input from, or digital output to, record carriers, e.g. RAID, emulated record carriers or networked record carriers
- G06F3/0601—Interfaces specially adapted for storage systems
- G06F3/0602—Interfaces specially adapted for storage systems specifically adapted to achieve a particular effect
- G06F3/061—Improving I/O performance
- G06F3/0611—Improving I/O performance in relation to response time
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
- G06F3/06—Digital input from, or digital output to, record carriers, e.g. RAID, emulated record carriers or networked record carriers
- G06F3/0601—Interfaces specially adapted for storage systems
- G06F3/0628—Interfaces specially adapted for storage systems making use of a particular technique
- G06F3/0655—Vertical data movement, i.e. input-output transfer; data movement between one or more hosts and one or more storage devices
- G06F3/0656—Data buffering arrangements
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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
- G06Q30/06—Buying, selling or leasing transactions
- G06Q30/0601—Electronic shopping [e-shopping]
- G06Q30/0631—Item recommendations
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Abstract
The present invention relates to a kind of beauty recommender system more particularly to a kind of beauty recommender systems based on caching, comprising: memory, for storing beauty recommending data;Caching;Processor, and Memory linkage, to read beauty recommending data from memory;Processor is also connected with caching;Processor records the frequency for reading beauty recommending data, and each beauty recommending data that reading frequency is higher than one first predeterminated frequency is stored into caching;The high beauty recommending data of frequency of use can be stored into caching, to improve data processing speed.
Description
Technical field
The present invention relates to a kind of beauty recommender system more particularly to a kind of beauty recommender systems based on caching.
Background technique
With the persistently overheating of beauty industry, the system used about beauty is also constantly upgrading, to meet increasingly huge
The search need of big beauty database and beauty information.
Beauty recommending data is stored in memory by traditional beauty recommender system, for needing beauty to be used to recommend number
According to requiring to read from memory, speed is slow, be easy to cause the delay of system, and then lead to the loss of user.
Summary of the invention
In view of the above-mentioned problems, the invention proposes a kind of beauty recommender system based on caching, wherein include:
Memory, for storing beauty recommending data;
Caching;
Processor, and the Memory linkage, to read the beauty recommending data from the memory;
The processor is also connected with the caching;The processor carries out the frequency for reading the beauty recommending data
Reading frequency is higher than each of the one first predeterminated frequency beauty recommending data and stored into the caching by record.
Above-mentioned beauty recommender system, wherein the beauty recommending data includes recommending input data, recommends mapping data
With recommendation results data.
Above-mentioned beauty recommender system, wherein the recommendation results data include product brand data, product type data
Data are used with product.
Above-mentioned beauty recommender system, wherein first predeterminated frequency is 80%~90%.
Above-mentioned beauty recommender system, wherein include:
Input equipment is connected to the processor, and is instructed for transmitting to the processor;
The processor receives and reads the beauty recommending data from the memory according to described instruction.
Above-mentioned beauty recommender system, wherein the memory includes a local storage and a cloud storage;
The local storage is connected with the cloud storage, for uploading/downloading the beauty from/to the cloud storage
Hold recommending data;
The processor is connect with the local storage, is recommended for reading the beauty from the local storage
Data.
Above-mentioned beauty recommender system, wherein the processor reads the beauty in the caching in real time and recommends number
According to reading frequency, when the reading frequency is lower than second predeterminated frequency, by the corresponding beauty recommending data from institute
It states and is deleted in caching.
Above-mentioned beauty recommender system, wherein second predeterminated frequency is 20%~30%.
The utility model has the advantages that the beauty recommender system proposed by the present invention based on caching can recommend the high beauty of frequency of use
Data are stored into caching, to improve data processing speed.
Detailed description of the invention
Fig. 1 is the structure chart of the beauty recommender system based on caching in one embodiment of the invention;
Fig. 2 is the structure chart of the beauty recommender system based on caching in one embodiment of the invention.
Specific embodiment
Invention is further explained with reference to the accompanying drawings and examples.
It in a preferred embodiment, can be with as shown in Figure 1, proposing a kind of beauty recommender system based on caching
Include:
Memory 1, for storing beauty recommending data;
Caching 2;
Processor 3 is connect with memory 1, to read beauty recommending data from memory 1;
Processor 3 is also connect with caching 2;The frequency of 3 pairs of processor reading beauty recommending datas records, and will read
Each beauty recommending data that frequency is higher than one first predeterminated frequency is stored into caching 2.
In a preferred embodiment, beauty recommending data may include recommend input data, recommend mapping data and
Recommendation results data etc..
In above-described embodiment, it is preferable that recommendation results data may include product brand data, product type data and production
Product use data etc..
In a preferred embodiment, the first predeterminated frequency can be 80%~90%, for example, 82% or 84%,
Or 86% or 88% etc..
In above-mentioned technical proposal, the first predeterminated frequency can be the percentage that reading times account for total degree, but this is one
The preferred situation of kind, is not construed as limitation of the present invention.
In a preferred embodiment, as shown in Fig. 2, can also include:
Input equipment 4 is connect with processor 3, is instructed for transmitting to processor 3;
Processor 3 receives and reads beauty recommending data from memory 1 according to instruction.
In above-mentioned technical proposal, input equipment 4 can be keyboard and/or mouse etc..
In a preferred embodiment, memory 1 may include a local storage and a cloud storage;
Local storage is connected with cloud storage, for uploading/downloading beauty recommending data from/to cloud storage;
Processor 3 is connect with local storage, for reading beauty recommending data from local storage.
In a preferred embodiment, processor reads the reading frequency of the beauty recommending data in caching 2 in real time, in
When reading frequency is lower than second predeterminated frequency, corresponding beauty recommending data is deleted from caching 2, it is slow so as to save
Deposit 2 space.
In above-described embodiment, it is preferable that the second predeterminated frequency can be 20%~30%, for example, 22% or 24%, or
26% or 28% etc..
By description and accompanying drawings, the exemplary embodiments of the specific structure of specific embodiment are given, based on present invention essence
Mind can also make other conversions.Although foregoing invention proposes existing preferred embodiment, however, these contents are not intended as
Limitation.
For a person skilled in the art, after reading above description, various changes and modifications undoubtedly be will be evident.
Therefore, appended claims should regard the whole variations and modifications for covering true intention and range of the invention as.It is weighing
The range and content of any and all equivalences, are all considered as still belonging to the intent and scope of the invention within the scope of sharp claim.
Claims (8)
1. a kind of beauty recommender system based on caching characterized by comprising
Memory, for storing beauty recommending data;
Caching;
Processor, and the Memory linkage, to read the beauty recommending data from the memory;
The processor is also connected with the caching;The processor remembers the frequency for reading the beauty recommending data
Reading frequency is higher than each of the predeterminated frequency beauty recommending data and stored into the caching by record.
2. beauty recommender system according to claim 1, which is characterized in that the beauty recommending data includes recommending input
Data recommend mapping data and recommendation results data.
3. beauty recommender system according to claim 2, which is characterized in that the recommendation results data include product brand
Data, product type data and product use data.
4. beauty recommender system according to claim 1, which is characterized in that the predeterminated frequency is 80%~90%.
5. beauty recommender system according to claim 1 characterized by comprising
Input equipment is connected to the processor, and is instructed for transmitting to the processor;
The processor receives and reads the beauty recommending data from the memory according to described instruction.
6. beauty recommender system according to claim 1, which is characterized in that the memory includes a local storage and one
Cloud storage;
The local storage is connected with the cloud storage, is pushed away for uploading/downloading the beauty from/to the cloud storage
Recommend data;
The processor is connect with the local storage, recommends number for reading the beauty from the local storage
According to.
7. beauty recommender system according to claim 1, which is characterized in that the processor is read in real time in the caching
The beauty recommending data reading frequency, in the reading frequency be lower than second predeterminated frequency when, will it is corresponding described in
Beauty recommending data is deleted from the caching.
8. beauty recommender system according to claim 7, which is characterized in that second predeterminated frequency be 20%~
30%.
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CN201710487984.4A CN109117082A (en) | 2017-06-23 | 2017-06-23 | A kind of beauty recommender system based on caching |
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CN201710487984.4A CN109117082A (en) | 2017-06-23 | 2017-06-23 | A kind of beauty recommender system based on caching |
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CN104765778A (en) * | 2015-03-18 | 2015-07-08 | 百度在线网络技术(北京)有限公司 | Method and device for providing information to be transmitted based on user behaviors |
CN104778271A (en) * | 2015-04-24 | 2015-07-15 | 无锡天脉聚源传媒科技有限公司 | Video data caching method and device |
US20150205532A1 (en) * | 2013-09-02 | 2015-07-23 | International Business Machines Corporation | Method for Reading File Using Plurality of Tape Media |
CN105988721A (en) * | 2015-02-10 | 2016-10-05 | 中兴通讯股份有限公司 | Data caching method and apparatus for network disk client |
CN106484633A (en) * | 2016-10-08 | 2017-03-08 | 广州华多网络科技有限公司 | A kind of data cached method and device |
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2017
- 2017-06-23 CN CN201710487984.4A patent/CN109117082A/en active Pending
Patent Citations (7)
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CN102937997A (en) * | 2012-11-26 | 2013-02-20 | 曙光信息产业(北京)有限公司 | Data processing system |
US20150205532A1 (en) * | 2013-09-02 | 2015-07-23 | International Business Machines Corporation | Method for Reading File Using Plurality of Tape Media |
CN104572846A (en) * | 2014-12-12 | 2015-04-29 | 百度在线网络技术(北京)有限公司 | Method, device and system for recommending hot words |
CN105988721A (en) * | 2015-02-10 | 2016-10-05 | 中兴通讯股份有限公司 | Data caching method and apparatus for network disk client |
CN104765778A (en) * | 2015-03-18 | 2015-07-08 | 百度在线网络技术(北京)有限公司 | Method and device for providing information to be transmitted based on user behaviors |
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Effective date of registration: 20211222 Address after: 310000 room 1-304, building 2, Xinming commercial center, Gongshu District, Hangzhou City, Zhejiang Province Applicant after: Hangzhou Taitai Enterprise Management Co.,Ltd. Address before: Room 303, building 6, 156 Wuchang Avenue, Wuchang Street, Yuhang District, Hangzhou City, Zhejiang Province 310000 Applicant before: HANGZHOU MEIJIE TECHNOLOGY Co.,Ltd. |
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