Based on Christopher D. Manning publication "Introduction to Information Retrieval", trying to implement some algorithms for real-world problems. Contents including: Link Analysis, Modeling and Ranking Texts, Recommendations with Implicit Feedbacks, Word Embeddings for Information Retrieval and Query Expansions.
- Built recommender and ranking systems on processing real world dataset from Twitter, Quizlet and Microsoft LETOR data.
- Utilized methods including Word2Vec, SVM, Matrix Factorization, Machine Learning and Data Mining.
- Learning to Rank on Microsoft LETOR data was selected as top 3 solution among 95 competitors of Information Retrieval.