Recommender as a service.
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Updated
Mar 18, 2019 - Scala
Recommender as a service.
A recommendation system written in Rust
PHP based recommender system that can be used to predict values, find similar items or getting recommendations for user
Property listings recommender for Dubai Marina. (The website might take 10 seconds to load the first time it is launched).
This JavaScript engine recommends openings based on individual play style. Users can specify whether they are looking for an aggressive/passive opening or an open/closed game. They can also specify whether they like gambits and how deep into theory they'd like to go. Chess opening descriptions are scraped from Wikipedia.
The Interoperable Recommender is a data-driven solution aimed at enabling the participation of consumers in enhancing the resilience of the European energy infrastructure.
Live web application demonstrating personalized recommendations for books and mangas implemented using collaborative filtering based recommender systems
Recommender based on Hidden Factor Analysis Collaborative Filtering in .NET
Paper of King Recommender app.
Movie recommender web app with multiple recommendation algorithms. Implemented with Apache Spark and scikit-learn.
This is a movie recomender that randomly takes movies from the IMDb movie 250 chart top, someone else made the code, I here present the code publicly.
Tiktok is an advanced multimedia recommender system that fuses the generative modality-aware collaborative self-augmentation and contrastive cross-modality dependency encoding to achieve superior performance compared to existing state-of-the-art multi-model recommenders.
This is my humble collection of study notes and exam prep exercises for courses I've taken at KIT. Enjoy 👍
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