Abstract
Flickr is one of the largest online image collections, where shared photos are typically annotated with tags. The tagging process bridges the gap between visual content and keyword search by providing a meaningful textual description of the tagged object. However, the task of tagging is cumbersome, therefore tag recommendation is commonly used to suggest relevant tags to the user. Apart from textual tagging based on keywords, an increasing trend of geotagging has been recently observed, as witnessed by the increased number of geotagged photos in Flickr. Even though there exist different methods for tag recommendation of photos, the gain of using spatial and textual information in order to recommend more meaningful tags to users has not been studied yet. In this paper, we propose novel location-aware tag recommendation methods and demonstrate the effectiveness of our proposed methods.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Adomavicius, G., Tuzhilin, A.: Toward the next generation of recommender systems: A survey of the state-of-the-art and possible extensions. TKDE 17(6), 734–749 (2005)
Ames, M., Naaman, M.: Why we tag: motivations for annotation in mobile and online media. In: CHI, pp. 971–980 (2007)
Cong, G., Jensen, C.S., Wu, D.: Efficient retrieval of the top-k most relevant spatial web objects. PVLDB 2(1), 337–348 (2009)
Garg, N., Weber, I.: Personalized, interactive tag recommendation for flickr. In: RecSys, pp. 67–74 (2008)
Moxley, E., Kleban, J., Manjunath, B.S.: Spirittagger: a geo-aware tag suggestion tool mined from flickr. In: ACM MIR, pp. 24–30 (2008)
Serdyukov, P., Murdock, V., van Zwol, R.: Placing flickr photos on a map. In: SIGIR, pp. 484–491 (2009)
Sigurbjörnsson, B., van Zwol, R.: Flickr tag recommendation based on collective knowledge. In: WWW, pp. 327–336 (2008)
Song, Y., Zhang, L., Giles, C.L.: Automatic tag recommendation algorithms for social recommender systems. TWEB 5(1), 4 (2011)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2014 Springer International Publishing Switzerland
About this paper
Cite this paper
Miliou, I., Vlachou, A. (2014). Location-Aware Tag Recommendations for Flickr. In: Decker, H., Lhotská, L., Link, S., Spies, M., Wagner, R.R. (eds) Database and Expert Systems Applications. DEXA 2014. Lecture Notes in Computer Science, vol 8644. Springer, Cham. https://doi.org/10.1007/978-3-319-10073-9_9
Download citation
DOI: https://doi.org/10.1007/978-3-319-10073-9_9
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-10072-2
Online ISBN: 978-3-319-10073-9
eBook Packages: Computer ScienceComputer Science (R0)