个性化多媒体系统以用户为中心的项目特征:系统综述

IF 1.9 Q3 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Intelligenza Artificiale Pub Date : 2023-12-15 DOI:10.3233/ia-230039
Elham Motamedi, Marko Tkalcic
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引用次数: 0

摘要

多媒体项目特征可用于推荐系统和信息检索等领域。在这项工作中,我们将项目特征分为两大类:(i) 以项目为中心的项目特征 (ICIC) 和 (ii) 以用户为中心的项目特征 (UCIC)。我们用 ICIC 这个术语来表示项目的特征,它(a) 根植于项目,(b) 对所有用户具有相同的值,例如一首歌的持续时间。用 UCIC 一词,我们表示物品的以下特征:(a) 源自用户对物品特征的感知,(b) 在不同用户之间表现出一定的差异,例如,一首歌的感知情感。我们调查了近期的研究工作,其中包括各种类型的统一用户识别信息、统一用户识别信息的获取方法以及统一用户识别信息的领域使用。我们找出了研究中的不足,并为未来的工作提供了指导。
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User-centric item characteristics for personalized multimedia systems: A systematic review
Multimedia item characteristics are used in domains, such as recommender systems and information retrieval. In this work we distinguish two main groups of item characteristics: (i) item-centric item characteristic (ICIC) and (ii) user-centric item characteristic (UCIC). With the term ICIC we denote a characteristic of an item that (a) has roots in the item and (b) has the same value for all users, for example, the duration of a song. With the term UCIC, we denote a characteristic of an item that (a) has roots in the perception of the user from an item characteristic and (b) exhibits some variance across different users, for example, the perceived emotion of a song. We survey recent work that covers various types of UCIC, acquisition methods of UCIC, and domain usage of UCIC. We identify gaps in the research and provide guidelines for future work.
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来源期刊
Intelligenza Artificiale
Intelligenza Artificiale COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE-
CiteScore
3.50
自引率
6.70%
发文量
13
期刊最新文献
Special Issue NL4AI 2022: Workshop on natural language for artificial intelligence User-centric item characteristics for personalized multimedia systems: A systematic review Combining human intelligence and machine learning for fact-checking: Towards a hybrid human-in-the-loop framework A framework for safe decision making: A convex duality approach Grounding End-to-End Pre-trained architectures for Semantic Role Labeling in multiple languages
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