ayush-jain / hotel_recommender_system
A hotel recommender system in python using hybrid approach of content based and collaborative filtering of hotel reviews by a user. Text Mining done using NLTK library and chi-square feature selection using sklearn. User profile was generated using an ensemble classifier.
☆16Updated 10 years ago
Alternatives and similar repositories for hotel_recommender_system:
Users that are interested in hotel_recommender_system are comparing it to the libraries listed below
- Content based Recommender System which implements sentiment analysis(Naive Bayes,SVMs) on Amazon product reviews. Built in Python(Beautif…☆10Updated 10 years ago
- Multi-Contextual Learning to Rank Events☆23Updated 8 years ago
- Code to munge data between Kaggle .tsv Rotten Tomatoes Sentiment Analysis data set and Vowpal Wabbit☆24Updated 10 years ago
- An easy to set up recommender systems frontend for research, fun and science☆30Updated 10 years ago
- Recommender Systems in Depth: An introduction to Recommender Systems using Python and Crab☆44Updated 11 years ago
- This example uses the lightfm recommender system library to train a hybrid content-based + collaborative algorithm that uses the WARP los…☆9Updated 7 years ago
- Film recommendations with Apache Spark and Python☆61Updated 9 years ago
- Experiments on english wikipedia. GloVe and word2vec.☆13Updated 9 years ago
- Code for KDD 2014 paper "Mining Topics in Documents: Standing on the Shoulders of Big Data"☆21Updated 9 years ago
- A Latent Dirichlet Allocation topic modeling package based on SparseLDA Gibbs Sampling inference algorithm☆8Updated 11 years ago
- Recommendation System using Collaborative Filtering☆16Updated 8 years ago
- Probabilistic Matrix Factorization with Social Trust for Recommendation (Ma et al. SIGIR 2009)☆19Updated 8 years ago
- Repo for the Insults Detection challenge on Kaggle.com☆11Updated 11 years ago
- Topic models (just LDA for now) on the Hacker News corpus☆22Updated 9 years ago
- Topic Modelling and Sentiment Analysis on Tweets Using LDA☆21Updated 6 years ago
- A Hybrid Recommendation system which uses Content embeddings and augments them with collaborative features. Weighted Combination of embed…☆17Updated 2 years ago
- Simple practice for text classification using Python☆58Updated 10 years ago
- Different approaches to computing document similarity☆28Updated 8 years ago
- Extract opionion phrases from user reviews☆62Updated 10 years ago
- Our solution for Recsys Challenge 2017.☆20Updated 6 years ago
- Implements Rocchio Query Expansion - similar to "related searches:" found at popular search engines but based on relevant documents selec…☆20Updated 8 years ago
- How to use automatic polynomial features and neural network mode in VW☆17Updated 10 years ago
- Recommender System using Apache Spark☆15Updated 7 years ago
- Neural recommender system implementation in TensorFlow.☆16Updated last year
- From Word Embeddings to Item Recommendation☆10Updated 11 months ago
- Attempt on a Kaggle competition, Personalized Web Search Challenge, hosted by Yandex (http://www.kaggle.com/c/yandex-personalized-web-sea…☆12Updated 11 years ago