Robuta

Sponsor of the Day: Jerkmate

https://ceur-ws.org/Vol-3012/ CEUR-WS.org/Vol-3012 - Second Workshop on Online Misinformation- and Harm-Aware Recommender Systems... ceur ws online misinformation aware recommender vol 3012 https://ceur-ws.org/Vol-2758/ CEUR-WS.org/Vol-2758 - Workshop on Online Misinformation- and Harm-Aware Recommender Systems (OHARS... ceur ws online misinformation aware recommender vol 2758 https://www.gnuband.org/papers/moleskiingit_a_trust-aware_recommender_system_for_ski_mountaineering/ Moleskiing.it: a Trust-Aware Recommender System for Ski Mountaineering | Ramblings by Paolo on... Recommender Systems (RS) suggest to users items they will like based on their past opinions. Collaborative Filtering (CF) is the most used technique and works... aware recommender ski mountaineering trust system ramblings https://lfaidata.foundation/communityblog/2025/09/01/leverage-llm-for-next-gen-recommender-systems-design-patterns-for-cost-aware-and-ethical-deployment/ Leverage LLM for Next-Gen Recommender Systems: Design Patterns for Cost-Aware and Ethical... next gen recommender systems design patterns leverage llm https://ceur-ws.org/Vol-3560/ CEUR-WS.org/Vol-3560 - Knowledge-aware and Conversational Recommender Systems 2023 ceur ws recommender systems vol 3560 knowledge https://www.gnuband.org/papers/trust-aware_collaborative_filtering_for_recommender_systems/ Trust-aware Collaborative Filtering for Recommender Systems | Ramblings by Paolo on Web2.0,... Abstract Recommender Systems allow people to find the resources they need by making use of the experiences and opinions of their nearest neighbours. Costly... collaborative filtering recommender systems web2 0 trust aware