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hotel-hunter

hotel recommender system with Django www.HotelHunter.com

Implemented with algorithm "Dynamic ranking of hotels features depending on context". It can provide different recommendation when variation of context sets are acquired by target user. It's hybrid recommendation that considered context aware of target user by using Point Of Interest POI, trip types and companions same as tripadvisor to recommend hotel follow by user preference. Research is coming soon

Sign In

username: user1, password: 1234

Search:

[Bangkok, Singapore, Tokyo]

Trip type:

[Business, Leisure]

Companion:

[Solo, Friend, Couple, Family]

Features:

  • Member system
  • Search hotels
  • Filter hotel results by
  • Sort hotel results by
  • Review and Rating Function
  • Recommender system *

Dataset: rec.sql

  • 50 users
  • 1500 records
  • 350 hotels

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hotel recommender system with Django

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