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Creating temporally dynamic web search snippets

Krysta M. Svore, Jaime Teevan, Susan T. Dumais, Anagha Kulkarni
2012 Proceedings of the 35th international ACM SIGIR conference on Research and development in information retrieval - SIGIR '12  
Content on the Internet is always changing. We explore the value of biasing search result snippets towards new webpage content.  ...  Our results indicate that searchers prefer the inclusion of temporal information for trending queries but not for general queries, and that this is particularly valuable for pages that have not been recently  ...  INTRODUCTION Web content change often drives people to visit webpages to see what is new. For example, people visit news sites, blogs, and social media sites to stay up-to-date.  ... 
doi:10.1145/2348283.2348461 dblp:conf/sigir/SvoreTDK12 fatcat:2fx4ab6jivf35opx7u5wu5fina

What Is Usual in Unusual Videos? Trajectory Snippet Histograms for Discovering Unusualness

Ahmet Iscen, Anil Armagan, Pinar Duygulu
2014 2014 IEEE Conference on Computer Vision and Pattern Recognition Workshops  
In this study, we address the problem from the other side, and try to answer what type of patterns are shared among unusual videos that make them resemble to each other regardless of the ongoing event.  ...  Discovery of unusual events in videos is generally attacked as a problem of finding usual patterns, and then separating the ones that do not resemble to those.  ...  Acknowledgments This paper is partially supported by TUBITAK grant number 112E174.This paper was also partially supported by the US Department of Defense, the U. S.  ... 
doi:10.1109/cvprw.2014.123 dblp:conf/cvpr/IscenAD14 fatcat:chuqvft3j5appcc5g4rkgqzm5u

Disambiguating Implicit Temporal Queries by Clustering Top Relevant Dates in Web Snippets

Ricardo Campos, Alipio Mario Jorge, Gael Dias, Celia Nunes
2012 2012 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology  
With the growing popularity of research in Temporal Information Retrieval (T-IR), a large amount of temporal data is ready to be exploited.  ...  We used several measures for evaluating the performance of the system and compared our approach with Carrot Web-snippet clustering engine. Both experiments were complemented with a user survey.  ...  It is also supported by the Center of Mathematics, University of Beira Interior, project PEst-OE/MAT/UI0212/2011. We would also like to thanks the human annotators for their hard work.  ... 
doi:10.1109/wi-iat.2012.158 dblp:conf/webi/CamposJDN12 fatcat:eb7eic75org3ventnoanwcloee

A Study of Snippet Length and Informativeness

David Maxwell, Leif Azzopardi, Yashar Moshfeghi
2017 Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval - SIGIR '17  
There may be differences between this version and the published version. You are advised to consult the publisher's version if you wish to cite from it.  ...  Acknowledgments Our thanks to Alastair Maxwell and Stuart Mackie for their comments, the 53 participants of this study, and the anonymous reviewers for their feedback. e lead author is nancially supported  ...  by the UK Government through the EPSRC, grant №. 1367507.  ... 
doi:10.1145/3077136.3080824 dblp:conf/sigir/MaxwellAM17 fatcat:kcuxs7js3vcktoeyyzakgcvzxi

Caching query-biased snippets for efficient retrieval

Diego Ceccarelli, Claudio Lucchese, Salvatore Orlando, Raffaele Perego, Fabrizio Silvestri
2011 Proceedings of the 14th International Conference on Extending Database Technology - EDBT/ICDT '11  
Web Search Engines' result pages contain references to the top-k documents relevant for the query submitted by a user. Each document is represented by a title, a snippet and a URL.  ...  The snippet generation process is very expensive, since it may require to access a number of documents for each issued query.  ...  Acknowledgements This work was supported by the EU-FP7-250527 (Assets) project.  ... 
doi:10.1145/1951365.1951379 dblp:conf/edbt/CeccarelliLOPS11 fatcat:y7ohxmmr7zdatmogaiwmiuniza

Multimodal Reranking of Content-based Recommendations for Hyperlinking Video Snippets

Chidansh Bhatt, Nikolaos Pappas, Maryam Habibi, Andrei Popescu-Belis
2014 Proceedings of International Conference on Multimedia Retrieval - ICMR '14  
In this paper, we present an approach for topic-level search and hyperlinking of video snippets, which relies on contentbased recommendation and multimodal re-ranking techniques.  ...  Moreover, by analyzing the effect of multimodal re-ranking on hyperlinking performance, we emphasize the merits of rich visual information available in the anchors for the hyperlinking task, and the merits  ...  This work was supported by the Swiss National Science Foundation (AROLES project n. 51NF40-144627) and by the European Union (inEvent project FP7-ICT n. 287872).  ... 
doi:10.1145/2578726.2578752 dblp:conf/mir/BhattPHP14 fatcat:3sidlddko5d5rhm3td3l5jffge

A Method for Visualizing Multivariate Time Series Data

Roger D. Peng
2008 Journal of Statistical Software  
Visualization and exploratory analysis is an important part of any data analysis and is made more challenging when the data are voluminous and high-dimensional.  ...  We outline the basic design concepts and provide some examples of its usage by applying it to a database of ambient air pollution measurements in the United States and to a hypothetical portfolio of stocks  ...  For example, we may want to know what the empirical distribution of values in a given time series looks like or what is the average trend across all time series.  ... 
doi:10.18637/jss.v025.c01 fatcat:lmol6dachnbbhbryyhvzzoou3y

Analysis of Archaeological Phases Using the R Package ArchaeoPhases

Anne Philippe, Marie-Anne Vibet
2020 Journal of Statistical Software  
We propose new statistical tools to analyze and to estimate the characteristics of time periods based on the posterior distribution of an associated collection of dates.  ...  These tools are implemented in the R package ArchaeoPhases. The required inputs are simulated samples from the posterior distribution of a collection of dates.  ...  Acknowledgments The authors are most grateful to the editorial team and the referees for their relevant comments and useful suggestions, which helped us improve this article.  ... 
doi:10.18637/jss.v093.c01 fatcat:5rqit2tmafhchb3fotp2pw6xia

Enriching temporal query understanding through date identification

Ricardo Campos, Gaël Dias, Alípio Mário Jorge, Célia Nunes
2012 Proceedings of the 2nd Temporal Web Analytics Workshop on - TempWeb '12  
first great earthquake mentioned in histories of Haiti occurred in 1564 in what was still the Spanish colony.  ...  Representation of Web SnippetsConceptual / Temporal Representation of Web SnippetsTemporal Representation of Web Snippets Conclusions Approach CONTRIBUTIONS Motivation 8 /39 Enriching Temporal  ...  of the approach used, best correlation coefficient, always occurred with T0.05N+∞ The best value is given for the Median function, specifically for IS_(WD;WD)_DI CE_M denoted  ... 
doi:10.1145/2169095.2169103 dblp:conf/www/CamposDJN12 fatcat:uomy3ozlofam5dr3ftkrfeek6a

GTE

Ricardo Campos, Gaël Dias, Alípio Jorge, Célia Nunes
2012 Proceedings of the 21st ACM international conference on Information and knowledge management - CIKM '12  
In this paper, we present an approach to identify top relevant dates in Web snippets with respect to a given implicit temporal query. Our approach is two-fold.  ...  We evaluate both strategies over a set of real-world text queries and compare the performance of our Web snippet approach with a query log approach over the same set of queries.  ...  Specifically, is defined as the set of most relevant words/multi-words associated with a Web snippet and as the set of candidate years associated to a Web snippet .  ... 
doi:10.1145/2396761.2398567 dblp:conf/cikm/CamposDJN12 fatcat:pi5myszcgnhatifrksesryg3xu

GTE-Rank: A time-aware search engine to answer time-sensitive queries

Ricardo Campos, Gaël Dias, Alípio Jorge, Célia Nunes
2016 Information Processing & Management  
Inferring the different temporal intents of this type of query enhances the overall temporal part of the web search results.  ...  Our approach relies on a novel temporal similarity measure that is capable of determining the most important dates for a query, while filtering out the non-relevant ones.  ...  Acknowledgments The authors want to thank the participants of the user study.  ... 
doi:10.1016/j.ipm.2015.07.006 fatcat:pszzsdqfhjdvha2ckcehwizeli

A Hybrid Context Based Approach for Web Information Retrieval

W. Aisha Banu, P. Sheikh Abdul Kader
2010 International Journal of Computer Applications  
Information retrieval mechanisms from the web are a great need of the hour as the amount of the content is growing dynamically every day.  ...  These algorithms are either content based or snippet based and perform a clustered outcome re-ranking of the content for the user.  ...  The content trees now give the user an overview of what the snippets contain and is a concept map of the content. The key to the overall process is that the context of users is temporal and periodic.  ... 
doi:10.5120/1493-2010 fatcat:cm4kilsmfrartia4cfoosncz6i

Unsupervised Extraction of Video Highlights Via Robust Recurrent Auto-encoders [article]

Huan Yang and Baoyuan Wang and Stephen Lin and David Wipf and Minyi Guo and Baining Guo
2015 arXiv   pre-print
The auto-encoder is trained using a proposed shrinking exponential loss function that makes it robust to noise in the web-crawled training data, and is configured with bidirectional long short term memory  ...  (LSTM) LSTM:97 cells to better model the temporal structure of highlight segments.  ...  The blue bars represent reconstruction error, with smaller values having a higher probability of being a highlight snippet.  ... 
arXiv:1510.01442v1 fatcat:5cr5rw5zy5bx5phikafrrsqqne

Unsupervised Extraction of Video Highlights via Robust Recurrent Auto-Encoders

Huan Yang, Baoyuan Wang, Stephen Lin, David Wipf, Minyi Guo, Baining Guo
2015 2015 IEEE International Conference on Computer Vision (ICCV)  
(LSTM) [5] cells to better model the temporal structure of highlight segments.  ...  The auto-encoder is trained using a proposed shrinking exponential loss function that makes it robust to noise in the web-crawled training data, and is configured with bidirectional long short term memory  ...  The blue bars represent reconstruction error, with smaller values having a higher probability of being a highlight snippet.  ... 
doi:10.1109/iccv.2015.526 dblp:conf/iccv/YangWLWGG15 fatcat:drk5heopbjes5jfulxxqbfkcnm

#TwitterSearch

Jaime Teevan, Daniel Ramage, Merredith Ringel Morris
2011 Proceedings of the fourth ACM international conference on Web search and data mining - WSDM '11  
We discuss the implications of these findings for the design of next-generation Web search tools that incorporate social media.  ...  However, little is known about how and why people search socially-generated content. In this paper we explore search behavior on the popular microblogging/social networking site Twitter.  ...  the centroid of the Web snippets.  ... 
doi:10.1145/1935826.1935842 dblp:conf/wsdm/TeevanRM11 fatcat:w6ohwjr4dnhtbl3wrfhdt73haa
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