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Leveraging user comments for aesthetic aware image search reranking

Jose San Pedro, Tom Yeh, Nuria Oliver
2012 Proceedings of the 21st international conference on World Wide Web - WWW '12  
users searching for photographs on the Web.  ...  Two strategies for aesthetic rating inference are proposed: one based on visual content, another based on the analysis of user comments to detect opinions about the quality of images.  ...  We also plan to study the scalability of the solution as well as the viability of this approach to model aesthetics from user opinions in non-specialized communities, where comments could be less technical  ... 
doi:10.1145/2187836.2187896 dblp:conf/www/PedroYO12 fatcat:yl5s5opjpvdk7bknw46vmzce4u

Adaptive Search Based On User Tags in Social Networking

Ch Priyanka
2013 IOSR Journal of Computer Engineering  
We empirically validate this approach on the social photo-sharing site Flickr, which allows users to annotate images with freely chosen tags and to search for images labeled with a certain tag.  ...  the user only those images that are of his/her interest.  ...  We also conducted a user study to determine user satisfaction with aesthetic aware reranking of search results, which revealed a consistent preference of results reranked by the combination of aesthetic  ... 
doi:10.9790/0661-1263235 fatcat:ycsannihl5dopf6rhspcep4ajm

ContextSeer

Yi Hsuan Yang, Po Tun Wu, Ching Wei Lee, Kuan Hung Lin, Winston H. Hsu, Homer H. Chen
2008 Proceeding of the 16th ACM international conference on Multimedia - MM '08  
To tackle these issues, a novel search system, ContextSeer, is developed to improve search quality (by reranking) and recommend supplementary information (i.e., search-related tags and canonical images  ...  Ordinal reranking achieves significant performance gains both in Flcikr550 and TRECVID search benchmarks.  ...  Search-related tags and multiple canonical images are further recommended to the users.  ... 
doi:10.1145/1459359.1459387 dblp:conf/mm/YangWLLHC08 fatcat:s7nthtjrxne4ndwzuebmcyu6cm

USAR: an Interactive User-specific Aesthetic Ranking Framework for Images [article]

Pei Lv , Yongbo Xu, Junyi Sun, Bing Zhou
2018 arXiv   pre-print
Existing aesthetic models lay emphasis on hand-crafted features or deep features commonly shared by high quality images, but with limited or no consideration for personal preference and user interaction  ...  characteristics of images in accordance with users' preference.  ...  ,Ltd from for his constructive suggestions to improve this work. The authors would also like to thank the anonymous referees for their valuable comments and helpful suggestions.  ... 
arXiv:1805.01091v2 fatcat:n2wbmk23ovd7ddoz3qprayinmy

Multimedia search reranking

Tao Mei, Yong Rui, Shipeng Li, Qi Tian
2014 ACM Computing Surveys  
Approaches that apply text search techniques for multimedia search have achieved limited success as they entirely ignore visual content as a ranking signal.  ...  Numerous techniques have been developed for visual search re-ranking. The purpose of this paper is to categorize and evaluate these algorithms.  ...  Ting Yao, for their insightful discussions. The authors also would like to thank the anonymous reviewers for their valuable comments. This work was supported in part to Dr.  ... 
doi:10.1145/2536798 fatcat:6kmga3jo4fa2tp4354wukfuzja

Predicting the popularity of web 2.0 items based on user comments

Xiangnan He, Ming Gao, Min-Yen Kan, Yiqun Liu, Kazunari Sugiyama
2014 Proceedings of the 37th international ACM SIGIR conference on Research & development in information retrieval - SIGIR '14  
As a result, content-based relevance signals are insufficient to meet users' constantly evolving information needs in searching for Web 2.0 items.  ...  To enable popularity prediction externally without excessive crawling, we propose an alternative solution by leveraging user comments, which are more accessible than view counts.  ...  Acknowledgement We would like to thank the anonymous reviewers for their valuable comments, and wish to acknowledge the additional discussions with Jun-Ping Ng, Aobo Wang, Tao Chen, and Jinyang Gao.  ... 
doi:10.1145/2600428.2609558 dblp:conf/sigir/HeGKLS14 fatcat:kfxhtvrsjbaahdtyvtt6l6wfwq

A Novel Rebroadcast Technique for Reducing Routing Overhead In Mobile Ad Hoc Networks

Vinayak T Patil
2013 IOSR Journal of Computer Engineering  
We also conducted a user study to determine user satisfaction with aesthetic aware reranking of search results, which revealed a consistent preference of results reranked by the combination of aesthetic  ...  We call this combination of relevance and aesthetic scores as ranking aesthetic-aware reranking.  ...  My current interests are focused to create/use new technologies of image enhancement, image information gathering. Decision support system based on image processing.  ... 
doi:10.9790/0661-1260109 fatcat:jundvgfvpjcdpmtloz2z2w6ige

Users & Machine Learning-based Curation Systems [article]

Hendrik Heuer, Universität Bremen, Andreas Breiter
2020
Furthermore, it demonstrates how limited users' capabilities for providing input data for ML-based curation systems are. The second part evaluates different explanations of ML-based systems.  ...  YouTube and Facebook, two of the most visited websites worldwide, utilize such systems to curate content for billions of users.  ...  Examples for the actions we identified are liking, sharing, commenting, subscribing, or searching for a video.  ... 
doi:10.26092/elib/241 fatcat:habxgyxqlbd4hn3mtfb6myvfe4

Using Wikipedia Knowledge and Query Types in a New Indexing Approach for Web Search Engines

Falah Hassan Ali Al-Akashi, Université D'Ottawa / University Of Ottawa, Université D'Ottawa / University Of Ottawa
2014
Through processing the user query using the Wikipedia index and determining the type of the query, our approach could trace the path of a query in our index, and retrieve specific results for each type  ...  Our aim is to design a powerful search engine with a strong focus on how to make the first page highly relevant to the user, and on how to retrieve other pages based on that first page.  ...  and their friends' wall posts, comments and interests.  ... 
doi:10.20381/ruor-6304 fatcat:bbie5vtmt5cn5gor4gfzndvhgm

Deep learning-based implicit feedback recommendation

Xin Xin
2021
In this thesis, we investigate deep learning techniques for recommendation from implicit feedback data.  ...  The two models investigate deep learning techniques for recommendation by tackling the data as two different structures: feature vectors and relations.  ...  Because in the reranking procedure, the candidate items have already been selected according to the user preference.  ... 
doi:10.5525/gla.thesis.82109 fatcat:7hhmk4ka55hxzjawhwwyvwpcem

Proceedings of the 18th Irish Conference on Artificial Intelligence and Cognitive Science [chapter]

Sarah Jane Delany, Michael Madden
2007
affordable for attendees.  ...  Their financial support has enabled the participation of our keynote speakers, the provision of a substantial prize for best paper, and a convivial social programme, while ensuring that participation remained  ...  We thank Pearl Pu for providing the laptop and camera datasets.  ... 
doi:10.21427/wmr8-km59 fatcat:wvtazmznojej3mv2uklmrtf7oi

Tipping the Balance [chapter]

Sustainable Urban Planning  
Programs for Cities, Counties and Towns (1990).  ...  the order in which I encountered them: Lewis Mumford's The City in History (1961), Jane Jacobs's Death and Life of Great American Cities (1961) which led me to visit Chicago and Boston, Kevin Lynch's Image  ...  awareness).  ... 
doi:10.1002/9780470773703.ch6 fatcat:nhg5kfbl4rel7kv2buihrkoz74

Celebrating 50 years of ACAL: Selected papers from the 50th Annual Conference on African Linguistics [article]

Akinbiyi Akinlabi, Lee Bickmore, Michael Cahill, Michael Diercks, Laura J. Downing, James Essegbey, Katie Franich, Laura McPherson, Sharon Rose
2021 Zenodo  
LSP-compatible Mike Diercks and for comments with editing, L A T E Xformatting Felix Kopecky.  ...  Thanks also to Elizabeth Cowper for comments and discussion, Betsy Ritter for helpful references, and the Syntax/Semantics Research Group participants at the University of Toronto for discussion on earlier  ...  In word searches or any other process in which the user wishes to distinguish these two, an ordinary 〈=, +, #, :〉, or other character will not appear.  ... 
doi:10.5281/zenodo.5578771 fatcat:fzrmp5bphzbcvoljd2wdnjux6q