Anzeige
Erschienen in:
2014 | OriginalPaper | Buchkapitel
The Evolution of Research on Multimedia Travel Guide Search and Recommender Systems
verfasst von : Junge Shen, Zhiyong Cheng, Jialie Shen, Tao Mei, Xinbo Gao
Erschienen in: MultiMedia Modeling
Verlag: Springer International Publishing
Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.
Wählen Sie Textabschnitte aus um mit Künstlicher Intelligenz passenden Patente zu finden. powered by
Markieren Sie Textabschnitte, um KI-gestützt weitere passende Inhalte zu finden. powered by
The importance of multimedia travel guide search and recommender systems has led to a substantial amount of research spanning different computer science and information system disciplines in recent years. The five core research streams we identify here incorporate a few multimedia computing and information retrieval problems that relate to the alternative perspectives of algorithm design for optimizing search/recommendation quality and different methodological paradigms to assess system performance at large scale. They include (1) query analysis, (2) diversification based on different criteria, (3) ranking and reranking, (4) personalization and (5) evaluation. Based on a comprehensive discussion and analysis of these streams, this survey evaluates the recent major contributions to theoretical and system development, and makes some predictions about the road that lies ahead for multimedia computing and information retrieval (IR) researchers in both academia and industry world.