demo

In the modern entertainment landscape, finding the perfect movie across numerous streaming platforms has become a challenging task. Current recommendation systems often fall short, relying on generic algorithms or user ratings that overlook individual preferences. Our project addresses this challenge by redefining the movie discovery experience. Unlike traditional approaches, our innovative pipeline combines exact matching with semantic understanding and refined re-ranking. This approach not only achieves a notable increase of 0.11 in nDCG@10 over the baseline BM25 but also aligns more closely with user intent and content relevance.

With the increasing population flooding into New York City, finding a livable neighborhood has become a significant concern for many people. However, the process of selecting an ideal living place is not straightforward. There are many factors that can affect their choices of living places, such as housing prices, crime rates, population, and education.