Amit Livne
3M (Israel)(IL)
Publications by Year
Research Areas
Recommender Systems and Techniques, Context-Aware Activity Recognition Systems, Digital Marketing and Social Media, Consumer Market Behavior and Pricing, Human Mobility and Location-Based Analysis
Most-Cited Works
- → Context-Aware Recommendations Based on Deep Learning Frameworks(2020)83 cited
- → Analyzing movement predictability using human attributes and behavioral patterns(2021)26 cited
- → BRUCE: Bundle Recommendation Using Contextualized item Embeddings(2022)19 cited
- → Deep Context-Aware Recommender System Utilizing Sequential Latent Context(2019)16 cited
- → Inferring contextual preferences using deep encoder-decoder learners(2018)12 cited
- → Investigating the Value of Subtitles for Improved Movie Recommendations(2022)5 cited
- → Iterative Boosting Deep Neural Networks for Predicting Click-Through Rate(2020)3 cited
- → Evolving context-aware recommender systems with users in mind(2021)3 cited
- → BNN(2021)2 cited