Web Science/Part2: Emerging Web Properties/Modelling Similarity of Text/Similarity Measures and their Applications

From Wikiversity
Jump to: navigation, search

Similarity Measures and their Applications

Wikiversity-Mooc-Icon-Edit.svg
Wikiversity-Mooc-Icon-Ask.svg
Wikiversity-Mooc-Icon-Learning-goals.svg

Learning goals

  1. Know the properties of a similarity measure
  2. Be able to relate similarity and distance measures
  3. Know of two applications for modelling similarity
Wikiversity-Mooc-Icon-Edit.svg
Wikiversity-Mooc-Icon-Ask.svg
Wikiversity-Mooc-Icon-Video.svg

Video

Wikiversity-Mooc-Icon-Edit.svg
Wikiversity-Mooc-Icon-Ask.svg
Wikiversity-Mooc-Icon-Script.svg

Script

Wikiversity-Mooc-Icon-Edit.svg
Wikiversity-Mooc-Icon-Ask.svg
Wikiversity-Mooc-Icon-Quiz.svg

Quiz

1

Is there a connection between similarities and distance functions?

No, not at all
Yes by taking the inverse
Yes by taking the negative value
Yes via log and exponential function

2

Which of the following are applications of similarity measures?

Vectorspaces
Recommender systems
Machine Learning
Information Retrieval
Jaccard Coefficient

3

Which of the following statements is true?

Similarity measures can always be normalized
Similarity measures need to be transitive
Similarity measures have by symmetric
Similarity measures have to have equal self similarity for all Elements
They can have negative values


Wikiversity-Mooc-Icon-Edit.svg
Wikiversity-Mooc-Icon-Ask.svg
Wikiversity-Mooc-Icon-Further-readings.svg

Further reading

  1. tba
Wikiversity-Mooc-Icon-Discussion.svg

Discussion