Study Notes of TOEFL Speaking Part -- Task 2-4

TPO TASK 2 - 4

TASK 2

【TPO 1】A student thinks that the university shouldn’t require this sculpture

  • While, a student thinks that the university shouldn’t require this sculpture,
    • umm, this is because, you know, the university is in no financial position of doing so,
    • and also, the sculpture is actually quite large, so it will take up all the green space.
  • However, the women didn’t like this idea,
    • this is because, umm, actually, the university didn’t pay for the sculpture , there is a donor donating this to the university.
    • also she know why this students didn’t like this sculpture, this is because, you know, he can’t play soccer in that green area anymore, and for him, he doesn’t want to move.
  • So, these are the reason why the women does not like the idea.
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Study Notes of TOEFL Speaking Part -- Task 1

  • Some people believe that television has had a positive influence on society. Others believe it has had a negative influence on society.

  • Some college students choose to take courses in a variety of subject areas in order to get a broad education. Others choose to focus on a single subject area in order to have a deeper understanding of that area.

  • etc

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AWS (Amazon Web Services) Study Notes

The study notes during the internship period of AWS, including AWS Global Infrastructure, Networking in AWS, Storage in AWS, Compute in AWS and Database in AWS, to name a few.

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Constructing Topical Concept Hierarchical Taxonomy of Tourist Attraction

Abstract

  • A hierarchical co-clustering module by using non-negative matrix tri-factorization for allocating attractions and things of interest to topic when splitting a coarse topic into fine-grained ones.
  • A concept extraction module for extracting concept of every topic that maintain strong discriminative power at different levels of the taxonomy.

理论数学表达

Non-negative Matrix Factorization

The model is to approximate the input attraction-ToI matrix with three factor matrices that assign cluster labels to tourist attractions and Things of Interest (ToI) simultaneously by solving the following optimization problem:

where $X $ is the input attraction-word content matrix, and $U ∈ R^{m×c}{+}$ and $V ∈ R^{n×c}{+}$ are orthogonal nonnegative matrices indicating low-dimensional representations of attractions and things of interest, respectively. The orthogonal and nonnegative conditions of the two matrices $U$ and $V$ enforce the model to provide a hard assignment of cluster label for attractions and things of interest. $H ∈ R^{c×c}_{+}$ provides a condensed view of $X$ .

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