softwaredoug / hello-ltr
Set of Jupyter notebooks demonstrating Learning to Rank integrated with Solr and Elasticsearch
☆17Updated 2 years ago
Alternatives and similar repositories for hello-ltr:
Users that are interested in hello-ltr are comparing it to the libraries listed below
- Extra product metadata for the Amazon ESCI dataset☆40Updated 2 years ago
- Public repository for the Search with Machine Learning course taught by Daniel Tunkelang and Grant Ingersoll. Available at https://coris…☆54Updated last year
- ☆100Updated 4 months ago
- In-Session Personalization Workshop for eCommerce, April 2021, and the MICES Workshop in June 2021.☆22Updated 3 years ago
- Fork of https://github.com/o19s/elasticsearch-learning-to-rank to work with OpenSearch☆16Updated this week
- Official repo for FF19: Session-based Recommender Systems☆41Updated 3 years ago
- ☆31Updated 2 years ago
- Public repository for the Search Fundamentals course taught by Daniel Tunkelang and Grant Ingersoll. Available at https://corise.com/cour…☆41Updated last year
- This demo uses data from TheMovieDB (TMDB) to demonstrate using Ranklib learning to rank models with Elasticsearch.☆36Updated last year
- source code accompanying "Deep Learning for Search" book☆74Updated 3 years ago
- An implementation of a full two-step recommendation pipeline applied on the Kaggle H&M data☆22Updated 2 years ago
- Streamlit demo app to demonstrate the features of transformers interpret with multiple models.☆25Updated 3 years ago
- ☆18Updated 2 years ago
- ☆50Updated 4 years ago
- ☆61Updated 5 months ago
- ☆2Updated 2 years ago
- Tools and other things for people who work on search relevance & information retrieval☆83Updated last year
- Repository for experiments with MetaProd2Vec and related algorithms.☆58Updated 5 years ago
- Multiple ways to model user preference in recommender systems☆14Updated 9 months ago
- ☆16Updated 3 years ago
- Deploy A/B testing infrastructure in a containerized microservice architecture for Machine Learning applications.☆40Updated last month
- Building recommender Systems using contextual bandit methods to address cold-start issue and online real-time learning☆10Updated 3 years ago
- Codes, scripts, and notebooks on various aspects of transformer models.☆27Updated last year
- ☆28Updated 4 years ago
- User Behavior Insights standard schema specification☆24Updated this week
- Factorization Machines for Recommendation and Ranking Problems with Implicit Feedback Data☆173Updated 6 months ago
- ☆44Updated 5 years ago
- A PaaS End-to-End ML Setup with Metaflow, Serverless and SageMaker.☆37Updated 4 years ago
- Official Repository for EvalRS @ KDD 2023: a Rounded Evaluation of Recommender Systems☆30Updated last year
- ☆64Updated last year