Huizhi Liang, Elly

• xRecommender for Future Students

• xRecommender for Current Students 

Lecturer slides:

1. Amazon knows what you like–An introduction to Recommender Systems. (PPT)

Classic Papers:

1. Badrul Sarwar et. al., Item-based Collaborative Filtering Recommendation Algorithms, WWW’01. (ACM)
2. Gediminas Adomavicius et. al., Toward the Next Generation of Recommender Systems: A Survey of the State-of-the-Art and Possible Extensions. IEEE Transactions on Knowledge and Data Engineering. (ACM)
3. Koren, Y et. al., Matrix Factorization Techniques for Recommender Systems. IEEE Computer. (PDF)

Datasets & Open Source Recommender Systems:

1. Datasets: MovieLens, Netflix dataset, Yahoo music dataset, Book crossing dataset, Tag dataset, Twitter dataset, Social network dataset
2. Systems: Mahout Taste, MyMediaLite Recommender System Library

• xRecommender on Life

(Am I your neighbour for collaborative filtering recommendation algorithms? Check it out below! What are your ratings for the following items?)

Books:

1. The Story of the Stone (红楼梦). (Wikipedia)
2. The Daodejing of Laozi (道德经). (Wikipedia)
3. The Art of War (孙子兵法). (Wikipedia)
4. Big Breasts and Wide Hips （丰乳肥臀). (Amazon)
5. To Kill a Mockingbird. (Amazon)
6. The Stone Diaries. (Amazon)
7. The Catcher in the Rye. (Amazon)
8. The Road. (Amazon)
9. The Story of Mankind. (Amazon)
10. Predictably Irrational. (Amazon)
11. All Quiet on the Western Front. (Amazon)
12. Vater und Sohn. (Amazon)
13. Life and Death in Shanghai. (Amazon)
14. The Selfish Gene. (Amazon)
15. The Emperor of All Maladies: A Biography of Cancer. (Amazon)
16. The brain that changes itself. (Amazon)
17. The Brothers Karamazov. (Wikipedia)
18. Catch-22. (Wikipedia)
19. Moby-Dick. (Wikipedia)
20. Thinking in Systems. (Amazon)
21. Information: A History, a Theory, a Flood. (Amazon)

Movies:

1. Comrades: Almost a Love Story (甜蜜蜜). (IMDB)
2. No Country for Old Man. (IMDB)
3. Lock Stock and Two Smoking Barrels. (IMDB)
4. Crouching Tiger, Hidden Dragon. (IMDB)
5. Rashomon (罗生门). (IMDB)
6. Three Idiots. (IMDB)
7. The Home Song Stories. (IMDB)
8. Animal Kingdom. (IMDB)
9. Underground. (IMDB)
10. A Brighter Summer Day (牯嶺街少年殺人事件). (IMDB)
11. Stalker. (IMDB)
12. Wild Strawberries. (IMDB)
13. Training Day. (IMDB)

UK Walking Trails:

Hadrian’s Wall path, Pennine Way, Chiltern Way

Mountains:

Huangshan (黄山, China)，Taishan (泰山, China), The grampians (Australia)

Some of my photos about Reading. Visit my personal photographic blog Poetry Planet (诗意星球) to see more photos about the world.  

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