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Query: hees_j* ⇒ Results: 4 Sorted by: Date  Comments?
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[1] Analysis and forecasting of trending topics in online media streams Social dynamics / Althoff, Tim / Borth, Damian / Hees, Jörn / Dengel, Andreas Proceedings of the 2013 ACM International Conference on Multimedia 2013-10-21 p.907-916
© Copyright 2013 ACM
ACM Digital Library Link
Summary: Among the vast information available on the web, social media streams capture what people currently pay attention to and how they feel about certain topics. Awareness of such trending topics plays a crucial role in multimedia systems such as trend aware recommendation and automatic vocabulary selection for video concept detection systems. Correctly utilizing trending topics requires a better understanding of their various characteristics in different social media streams. To this end, we present the first comprehensive study across three major online and social media streams, Twitter, Google, and Wikipedia, covering thousands of trending topics during an observation period of an entire year. Our results indicate that depending on one's requirements one does not necessarily have to turn to Twitter for information about current events and that some media streams strongly emphasize content of specific categories. As our second key contribution, we further present a novel approach for the challenging task of forecasting the life cycle of trending topics in the very moment they emerge. Our fully automated approach is based on a nearest neighbor forecasting technique exploiting our assumption that semantically similar topics exhibit similar behavior.
    We demonstrate on a large-scale dataset of Wikipedia page view statistics that forecasts by the proposed approach are about 9-48k views closer to the actual viewing statistics compared to baseline methods and achieve a mean average percentage error of 45-19% for time periods of up to 14 days.
[2] A robust realtime reading-skimming classifier Visual attention: studies, tools, methods / Biedert, Ralf / Hees, Jörn / Dengel, Andreas / Buscher, Georg Proceedings of the 2012 Symposium on Eye Tracking Research & Applications 2012-03-28 p.123-130
© Copyright 2012 ACM
ACM Digital Library Link
Summary: Distinguishing whether eye tracking data reflects reading or skimming already proved to be of high analytical value. But with a potentially more widespread usage of eye tracking systems at home, in the office or on the road the amount of environmental and experimental control tends to decrease. This in turn leads to an increase in eye tracking noise and inaccuracies which are difficult to address with current reading detection algorithms. In this paper we propose a method for constructing and training a classifier that is able to robustly distinguish reading from skimming patterns. It operates in real time, considering a window of saccades and computing features such as the average forward speed and angularity. The algorithm inherently deals with distorted eye tracking data and provides a robust, linear classification into the two classes read and skimmed. It facilitates reaction times of 750ms on average, is adjustable in its horizontal sensitivity and provides confidence values for its classification results; it is also straightforward to implement. Trained on a set of six users and evaluated on an independent test set of six different users it achieved a 86% classification accuracy and it outperformed two other methods.
[3] EDITED BOOK Search Computing: Broadening Web Search Lecture Notes in Computer Science 7538 / Ceri, Stefano / Brambilla, Marco 2012 n.16 p.254 Springer Berlin Heidelberg
DOI: 10.1007/978-3-642-34213-4
ISBN: 978-3-642-34212-7 (print), 978-3-642-34213-4 (online)
Link to Digital Content at Springer
== Extraction and Integration ==
Web Data Reconciliation: Models and Experiences (1-15)
	+ Blanco, Lorenzo
	+ Crescenzi, Valter
	+ Merialdo, Paolo
	+ Papotti, Paolo
A Domain Independent Framework for Extracting Linked Semantic Data from Tables (16-33)
	+ Mulwad, Varish
	+ Finin, Tim
	+ Joshi, Anupam
Knowledge Extraction from Structured Sources (34-52)
	+ Unbehauen, Jörg
	+ Hellmann, Sebastian
	+ Auer, Sören
	+ Stadler, Claus
Extracting Information from Google Fusion Tables (53-67)
	+ Brambilla, Marco
	+ Ceri, Stefano
	+ Cinefra, Nicola
	+ Sarma, Anish Das
	+ Forghieri, Fabio
	+ et al
Materialization of Web Data Sources (68-81)
	+ Bozzon, Alessandro
	+ Ceri, Stefano
	+ Zagorac, Srdan
== Query and Visualization Paradigms ==
Natural Language Interfaces to Data Services (82-97)
	+ Guerrisi, Vincenzo
	+ Torre, Pietro La
	+ Quarteroni, Silvia
Mobile Multi-domain Search over Structured Web Data (98-110)
	+ Aral, Atakan
	+ Akin, Ilker Zafer
	+ Brambilla, Marco
Clustering and Labeling of Multi-dimensional Mixed Structured Data (111-126)
	+ Brambilla, Marco
	+ Zanoni, Massimiliano
Visualizing Search Results: Engineering Visual Patterns Development for the Web (127-142)
	+ Morales-Chaparro, Rober
	+ Preciado, Juan Carlos
	+ Sánchez-Figueroa, Fernando
== Exploring Linked Data ==
Extending SPARQL Algebra to Support Efficient Evaluation of Top-K SPARQL Queries (143-156)
	+ Bozzon, Alessandro
	+ Valle, Emanuele Della
	+ Magliacane, Sara
Thematic Clustering and Exploration of Linked Data (157-175)
	+ Castano, Silvana
	+ Ferrara, Alfio
	+ Montanelli, Stefano
Support for Reusable Explorations of Linked Data in the Semantic Web (176-190)
	+ Cohen, Marcelo
	+ Schwabe, Daniel
== Games, Social Search and Economics ==
A Survey on Proximity Measures for Social Networks (191-206)
	+ Cohen, Sara
	+ Kimelfeld, Benny
	+ Koutrika, Georgia
Extending Search to Crowds: A Model-Driven Approach (207-222)
	+ Bozzon, Alessandro
	+ Brambilla, Marco
	+ Ceri, Stefano
	+ Mauri, Andrea
BetterRelations: Collecting Association Strengths for Linked Data Triples with a Game (223-239)
	+ Hees, Jörn
	+ Roth-Berghofer, Thomas
	+ Biedert, Ralf
	+ Adrian, Benjamin
	+ Dengel, Andreas
An Incentive-Compatible Revenue-Sharing Mechanism for the Economic Sustainability of Multi-domain Search Based on Advertising (240-254)
	+ Brambilla, Marco
	+ Ceppi, Sofia
	+ Gatti, Nicola
	+ Gerding, Enrico H.
[4] Text 2.0 Work-in-progress, April 14-15 / Biedert, Ralf / Buscher, Georg / Schwarz, Sven / Hees, Jörn / Dengel, Andreas Proceedings of ACM CHI 2010 Conference on Human Factors in Computing Systems 2010-04-10 v.2 p.4003-4008
Keywords: attentive text, eye tracking, reading
© Copyright 2010 ACM
ACM Digital Library Link
Summary: We discuss the idea of text responsive to reading and argue that the combination of eye tracking, text and real time interaction offers various possibilities to enhance the reading experience. We present a number of prototypes and applications facilitating the user's gaze in order to assist comprehension difficulties and show their benefit in a preliminary evaluation.