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  • Helping users find suitable rooms easily without specifying multiple search parameters
  • Finding an available meeting rooms when users current favorite rooms are unavailable
  • Recommending new rooms to users to be added in their favorite list


Develop a recommender model that can recommend rooms of interest to users.

  • Room recommender service uses a content-based recommender model based on Aalto room booking data from ASIO system.
  • Room parameters used: room_type, room_category, #persons, square_meters
  • Model is a memory based model where each room is transformed into a numerical vector and room similarity is calculated by using cosine similarity (the angle between room vectors)

Technical documentation can be found in Aalto Git version control