Recommendation model of articles on IBM Watson Studio Platform
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Updated
Aug 23, 2019 - HTML
Recommendation model of articles on IBM Watson Studio Platform
Virtual Experience with Data@ANZ
Team - Brogrammers. Ideathon 2018. Won 2nd Prize
Recommendation Engine using real data from IBM Watson Studio platform.
Recommend perfumes using Doc2vec model
Auto Complete / Suggestion feature using Trie data structure
Recommended Sites to watch movie,anime, series,manga,novel.
Music recommendation based on ChatBot with the help of user emotions
This Recommendation system will use your playlist and your friend’s playlist and combine them to make the perfect curated playlist consisting of songs that cater to the tastes of both you and your friend.
Content Based Recommendation System. This is a video recommendation system that uses the input variables Like,Share,Download,Bookmark,Comment to recommend a video
Internship Recommendation System
Terminology metadata recommendations by TIB
This project focuses on how pricing of AirBnB houses differ according to neighborhoods. It also looks on how important the description of the house is and how a customer is swayed by it. The Data set has been taken from Kaggle.
Repository containing analysis of user-article interactions from IBM Watson Studio data. The aim is to create a more personalized recommendation for each user
[大数据课程作业] Bilibili 助手: 视频推荐 + 热门预测
A Movie Recommendation System using Collaborative Filtering Techniques
Displays Algolia product recommendations on PDP and Shopping Cart pages
Auto Complete / Suggestion feature using Trie data structure
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