关键词：未来互联网；多媒体；模糊处理；通信
摘 要：This chapter addresses personalization of multimedia content in the Future Internet (FI) from a recommendation perspective. It presents recent research results towards providing context-aware recommendations in the Future Internet, based on the semantic modeling of knowledge and recommendation approaches, mixing both semantic and fuzzy processing for better personalization. It focuses on a Hybrid Ad-Hoc Network environment, constituting a common communication infrastructure today, where people share and manipulate multimedia content on both fixed and mobile network nodes. Context-awareness in recommender systems is addressed together with the needs for semantics and fuzzy user preferences. A context-awareness platform based on the Content-Centric Network paradigm is presented, together with ontologies for context and situation, thanks to which contextual elements can be formalized. It feeds a knowledge-based context-aware recommender with contextual data. In the presented recommendation approach, Fuzzy theory is used in addition to semantic modeling and processing, to better represent user preferences and interests, and the weight of context regarding these interests. An ontology for handling fuzzy properties is given, as well as the extension of the semantic matching formula that computes recommendation scores. Simulated as well as user-based experimental results are provided.