definition of basic terms for recommender systems

YoungJoon Suh·2025년 12월 30일
  1. Preprocessing
    transforms the raw input data into an appropriate format for subsequent analysis.
  2. Data mining
    the process of automatically discovering useful information in large data repositories.
  3. Regression
    predictive model used for continuous target variables.
  4. Attribute
    property or characteristic of an object that may vary.
  5. Data cleaning
    detectiont and correction of data quality.
  6. Standardization
    the process of making an entire set of values have particular property.
  7. Distance(x,x)>=0 : positivity.
  8. Distance(x,y) = Distance(y,x) : symmetry.
  9. Distance(z,x) <= Distance(y,z) + Distance(x,y) : triangle inequality.
    Classify the following attributes as binary, discrete, or continuous.
    Number of students per classroom: discrete.
    Bronze, silver, and gold medals as awarded at the olympics: discrete.
    Angles as measured in degrees between 0degree and 360degree: continuous.
    Time in terms of AM or PM: binary.
profile
저는 서영준 입니다.

0개의 댓글