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ranking-algorithm

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N-G-Asker / TasteRank

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TasteRank: Personalized Image Search and Recommendation. This research project proposes an AI-based method for scoring photos on relevance to user interests. TasteRank leverages language and vision models, including Mistral LLMs and OpenAI’s CLIP, and applies multimodal machine-learning techniques.

information-retrieval personalization search-algorithm relevance language-model clip ranking-algorithm language-generation multimodal-deep-learning computer-vison mistral-7b
  • Updated May 10, 2024
  • Jupyter Notebook

alessandromonolo / Data-Driven-Ranking-Model-For-Citizens-Based-On-Their-PM-Footprint

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Establishment of a Model to Define the Impact of Lombardy Region Citizens on PM2.5 Emissions During Their Daily Activities. The project aims to identify environmentally harmful actions and promote a more sustainable lifestyle through a ranking system of citizens. The model is based on the Z-Score Index.

pollution citizen footprint survey-analysis zscore datadriven ranking-algorithm
  • Updated Dec 21, 2023
  • Jupyter Notebook

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