Clustering & Retrieval

Retrieval is a task of retrieving documents/person/item of interest from a corpus. Clustering is finding out, what are related groups of people or items.

Use Cases:

  1. If someone is listening to a song / watching movie/tv shows, she would be interested in watching similar song/movie/show.
  2. If someone on the e-commerce website/app, likes/purchase a product, she would be interested to see/purchase similar looking products.
  3. If someone is searching for an image, she would love to see the similar images.
  4. If an investigation officer is reading/referring to a case file w.r.t. a particular case, she would love if the intelligent retrieval system brings her another set of case files (with most closely related file on the top) that are similar/related.
  5. If a person is reading an article/news of interest, what an intelligent retrieval system should do is to retrieve another article/news that he might be interested in reading.
  6. If you are a user on some social network and based on features of you as a user. You want to be presented with other people that you might want to connect with.
  7. Discovering groups of patients with related medical conditions.

References

  1. Clustering Techniques for Information Retrieval – Berlin Chen

Leave a Comment

Your email address will not be published. Required fields are marked *

Time limit is exhausted. Please reload CAPTCHA.

Fork me on GitHub