TY - GEN
T1 - Diversifying landmark image search results by learning interested views from community photos
AU - Ren, Yuheng
AU - Yu, Mo
AU - Wang, Xin-Jing
AU - Zhang, Lei
AU - Ma, Wei-Ying
N1 - Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].
PY - 2010
Y1 - 2010
N2 - In this paper, we demonstrate a novel landmark photo search and browsing system: Agate, which ranks landmark image search results considering their relevance, diversity and quality. Agate learns from community photos the most interested aspects and related activities of a landmark, and generates adaptively a Table of Content (TOC) as a summary of the attractions to facilitate the user browsing. Image search results are thus re-ranked with the TOC so as to ensure a quick overview of the attractions of the landmarks. A novel non-parametric TOC generation and set-based ranking algorithm, MoM-DPM Sets, is proposed as the key technology of Agate. Experimental results based on human evaluation show the effectiveness of our model and users' preference for Agate. © 2010 International World Wide Web Conference Committee (IW3C2).
AB - In this paper, we demonstrate a novel landmark photo search and browsing system: Agate, which ranks landmark image search results considering their relevance, diversity and quality. Agate learns from community photos the most interested aspects and related activities of a landmark, and generates adaptively a Table of Content (TOC) as a summary of the attractions to facilitate the user browsing. Image search results are thus re-ranked with the TOC so as to ensure a quick overview of the attractions of the landmarks. A novel non-parametric TOC generation and set-based ranking algorithm, MoM-DPM Sets, is proposed as the key technology of Agate. Experimental results based on human evaluation show the effectiveness of our model and users' preference for Agate. © 2010 International World Wide Web Conference Committee (IW3C2).
KW - landmark image search
KW - set-based ranking
KW - user interest modeling
UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-77954582771&origin=recordpage
UR - http://www.scopus.com/inward/record.url?scp=77954582771&partnerID=8YFLogxK
U2 - 10.1145/1772690.1772904
DO - 10.1145/1772690.1772904
M3 - RGC 32 - Refereed conference paper (with host publication)
SN - 9781605587998
T3 - Proceedings of the 19th International Conference on World Wide Web, WWW '10
SP - 1289
EP - 1292
BT - Proceedings of the 19th International Conference on World Wide Web, WWW '10
T2 - 19th International World Wide Web Conference, WWW2010
Y2 - 26 April 2010 through 30 April 2010
ER -