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When does Taobao complain about the initiation of rights protection?

buyer operation after payment 72 hours after the successful refund and transaction status of "transaction closed" 0-15 days of malicious evaluation transaction success within 0-15 days, within 15 days after the cancellation of the E-voucher transactions within 0-15 days of the "successful transaction" of the malicious harassment transaction status. Related to a number of digital and other long-term warranty issues, the middle of the time int

iOS Development-State mode

State mode allows the object to change its behavior when its internal state changes, and the object looks as if it has modified its class. The state pattern looks similar to the policy pattern, which encapsulates the interchangeable behavior, and then decides which behavior to use by using the delegate, and the state is the encapsulation behavior, but the behavior can be delegated to the current state. One needs to be externally set, and the other is to internally change the state to achieve the

How to get the viewer to take out the wallet

be afraid of the product is not suitable for exchange too much trouble, will be afraid to buy after the wife is not gratified, and so on. How to put the purchase risk from the customer as far as possible transfer to me, this is a serious problem to ponder. This is even more true on the site, as users have little faith in you. The best way to eliminate risk is to have an unconditional refund. Only customers want to return, what questions do not ask, u

How sellers handle credit card chargebacks

sign in to the My PayPal page and click on the "Resolution Center" tab:in the unresolved controversy (Open disputes) on the Mediation Center page, locate the Resolution event and click the "Resolve (Resolve)" button:read the details of the complaint, then click on the "Resolve return (Resolve chargeback Now)" button:The page provides 4 choices for resolving chargebacks, such as (Figure 4):4.1 Provide a valid (parcel logistics) trail information for the receipt of a

Depth Analysis Taobao search rankings

better ranked. So we're going to have to do a survey on the bottom shelf baby when the flow of the industry is mostly concentrated. (now Taobao products are seven days an update Oh, the general bottom one hours before, ranking the best.) Please arrange the time Oh, the other Taobao search results are updated 15 minutes a day, the night is 30 minutes update. ) In addition to the shelf time, such as window, seven days without a reason to refund, freig

The difference between classes and interfaces

parent class. Then the interface can refer to the subclass 11. Do not write too many methods in an interface to avoid contamination of the interface. You can write multiple interfaces, in each interface, define the method 13. The display implementation of the interface method, if multiple interfaces have the same method name. Then the first method name by default refers to the top-most interface, if you want to use the method behind the interface, it is necessary to display the implementat

Collaborative filtering recommendation (1th week)

influence, in the performance is, two users are similar, does not depend on their score whether the difference is very big, but depends on their trend is similar (can see, Alice and User 1 's hobby very similar, with User 4 difference very big):C, and because the above absolute value is not conducive to calculation, consider the use of radical, the root of the square is difficult to calculate. The book has the following method Pearson coefficient:Und

Summary of the method of "turning" machine learning problem

A summary of machine learning problem methods Big class Name Keywords Supervised classification Decision Tree Information gain Categorical regression Tree Gini index, χ2 statistic, pruning Naive Bayesian Non-parametric estimation, Bayesian estimation Linear discriminant Analysis Fishre discriminant, feature vector solution K Nearest Neighbor Similarity measurement: Euclidea

ZZ [recommendation System] recommended systems for collaborative filtering (CF) algorithms to understand and implement

, Euclidean distance is the distance of two points on the plane when n=2.When using Euclidean distance to denote similarity, the following formula is generally used to convert: the smaller the distance, the greater the similarity Pearson correlation coefficient (Pearson Correlation coefficient) Pearson correlation coefficients are generally used to

Summary of machine learning problems

Summary of machine learning problems Category Name Keywords Supervised Classification Decision tree Information Gain Classification regression tree Gini index, Gini 2 Statistics, pruning Naive Bayes Non-parameter estimation, Bayesian Estimation Linear Discriminant Analysis Fishre identification, feature vector Solution K nearest Similarity measurement: Euclidean distance, block distance, editing distance, vector angle,

Programming collecive Intelligence Notes making recommendations

similar users In the above example, we use a vector to indicate the user who needs to perform collaborative filtering. The following question is how to find the user of similar. Since we use vectors to represent users, we can find that the similar user is actually to calculate the shortest distance between vectors and find the closest vectors. I'll show you two systems for calculating similarity scores:Euclidean distanceAndPearson correlation. Euclidean distance Euclidean distance is the absol

Similarity Calculation and collaborative filtering in Recommendation Systems

1. Euclidean distance (Euclidean distance) Formula: Euclidean distance Simple Similarity Improvement 1 Improvement 2 Typical scenario: User-item A user scores an item and calculates the similarity between users and items based on the score. 2. Pearson correlation A metric used to determine the degree of fitting between two groups of data and a certain persistent line. When the data is not very standard (normalized) (such as the evaluation of items

Common similarity measurement (distance similarity coefficient)

components with different values of X and Y. It is only applicable to the case where the component is-1 or 1. 5. tanimoto coefficient (Also known as the Generalized jaccard Coefficient) It is usually usedBoolean Vector, That isWhen each component is set to 0 or 1. In this case, it indicates the proportion of the common features of X and Y to the features of X and Y. 6.Pearson Correlation Coefficient(

Swift Learning-05--Collection type

is similar to a set of literal constructs, a dictionary literal is a quick way to set one or more key-value pairs of writing Dictionaryvar airports: [String:string] = ["YYZ": "Toronto Pearson", "DUG": "Dublin"]As with arrays, when we construct a dictionary with a dictionary literal, if his keys and values have their own consistent type, then it's long not to write the type of the dictionaryFor example var airports = ["YYZ": "Toronto

Applied Nonparametric STATISTICS-LEC9

Ref:https://onlinecourses.science.psu.edu/stat464/print/book/export/html/12The case before us is: response is continuous, variable is discrete. Example: If you intend to check whether the median of GPA is related to the position of the student sitting in the classroom,Then the median of GPA is continuous, is the response variable, the position of the student sitting (before and after) is discrete, is the explanatory variable.It is also a continuous case to consider explanatory variables, that is

"Data Analysis R Language Practice" study notes the descriptive analysis of the data in the fifth chapter (Part I)

Open highest minimum close time Na na Na na-na open na 13.2 13.8 12.6 13.3 Max na 13.8 14.6 13.2 14.0 min na 12.6 13.2 12.1 12.8 close na 13.3 14.0 12.8 13.6The size of the covariance reflects the correlation of variables to some extent, but it is also affected by the unit of measure of the variables themselves, so we also calculate the correlation coefficients to measure the linear correlation between variables. The correlation coefficient matrix is computed using the function Cor ()

Regression prediction Analysis (RANSAC, polynomial regression, residual plot, random forest)

(room number) and Medv (house price), row fourth, column fifth, is linearly distributed. And the other three variables and MDV (house price) is a non-linear distribution. Note: Training a linear regression model does not require the independent variable or the dependent variable to be normal distribution, the normal hypothesis is only applicable to some statistical tests and hypothesis tests. 2. Coefficient matrix In addition to finding the relationship between variables through scatter graphs

8 Common Linux commands that developers must know _unix Linux

Let's take some text for example. Suppose we have 2 files, which have orders about where to place the third party and send a response.Cat Order.out.log8:22:19, 1, Patterns of Enterprise Architecture, Kindle Edition, 39.998:23:45 112, 1, Joy of Clojure, hardcover, 29.998:24:19 113,-1, Patterns of Enterprise Architecture, Kindle Edition, 39.99 Cat Order.in.log8:22:20, Order Complete8:23:50 112, order sent to fulfillment8:24:20 113, Refund sent to proce

12306 status, how do you approve?

generation of identity card number filled out errors. Manually modified for the ID card after the correct number click to save, if the last few days still show to check the status, it will require you to hold your own two-generation resident identity card to the train station ticket or consignment point for verification   passenger Home-my 12306-common information management-common contact: carefully check each item of information, the general registered users basically have only o

Pay treasure Buy train ticket payment tutorial

prompt payment success; Figure 12 12. Back to the 12306 train ticket to buy the official website, click on "Payment Complete", a few seconds later, 12306 will prompt the transaction has been successful; Figure 13 13. In the Order Information page, you can see the current payment of train ticket information, click "Inquiry Ticket Details" can enter to the train ticket change and refund page; Figure 14 14. In t

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