Abstract
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.
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Shen, J., Cheng, Z., Shen, J., Mei, T., Gao, X. (2014). The Evolution of Research on Multimedia Travel Guide Search and Recommender Systems. In: Gurrin, C., Hopfgartner, F., Hurst, W., Johansen, H., Lee, H., O’Connor, N. (eds) MultiMedia Modeling. MMM 2014. Lecture Notes in Computer Science, vol 8326. Springer, Cham. https://doi.org/10.1007/978-3-319-04117-9_21
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DOI: https://doi.org/10.1007/978-3-319-04117-9_21
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