FA
F. Abel
info
Please Note
<p>This page displays the records of the person named above and is not linked to a unique person identifier. This record may need to be merged to a profile.</p>
20 records found
1
Twinder
Enhancing Twitter Search
How can the search process on Twitter be improved to better meet the various information needs of its users? As an answer to this question, we have developed the Twinder framework, a scalable search system for Twitter streams. Twinder contains algorithms to determine the relevance of tweets in relation to search requests, as well as components to detect (near-)duplicate content, to diversify search results, and to personalize the search result ranking. In this paper, we report on our current progress, including the system architecture and the different modules for solving specific problems. Finally, we empirically determine the effectiveness of Twinder's components with experiments on representative datasets.
...
How can the search process on Twitter be improved to better meet the various information needs of its users? As an answer to this question, we have developed the Twinder framework, a scalable search system for Twitter streams. Twinder contains algorithms to determine the relevance of tweets in relation to search requests, as well as components to detect (near-)duplicate content, to diversify search results, and to personalize the search result ranking. In this paper, we report on our current progress, including the system architecture and the different modules for solving specific problems. Finally, we empirically determine the effectiveness of Twinder's components with experiments on representative datasets.
In this work we present an in-depth analysis of the user behaviors on different Social Sharing systems. We consider three popular platforms, Flickr, Delicious and StumbleUpon, and, by combining techniques from social network analysis with techniques from semantic analysis, we characterize the tagging behavior as well as the tendency to create friendship relationships of the users of these platforms. The aim of our investigation is to see if (and how) the features and goals of a given Social Sharing system reflect on the behavior of its users and, moreover, if there exists a correlation between the social and tagging behavior of the users. We report our findings in terms of the characteristics of user profiles according to three different dimensions: (i) intensity of user activities, (ii) tag-based characteristics of user profiles, and (iii) semantic characteristics of user profiles.
...
In this work we present an in-depth analysis of the user behaviors on different Social Sharing systems. We consider three popular platforms, Flickr, Delicious and StumbleUpon, and, by combining techniques from social network analysis with techniques from semantic analysis, we characterize the tagging behavior as well as the tendency to create friendship relationships of the users of these platforms. The aim of our investigation is to see if (and how) the features and goals of a given Social Sharing system reflect on the behavior of its users and, moreover, if there exists a correlation between the social and tagging behavior of the users. We report our findings in terms of the characteristics of user profiles according to three different dimensions: (i) intensity of user activities, (ii) tag-based characteristics of user profiles, and (iii) semantic characteristics of user profiles.
Conference paper
(2009)
-
Erwin Leonardi, Geert-Jan Houben, Kees van der Sluijs, Jan Hidders, Eelco Herder, Fabian Abel, Daniel Krause, Dominik Heckmann
Many Web applications have offered personalization and adaptation
as their features in order to provide personalized services to their users. The
user profiles are gathered independently by these applications often through an explicit dialogue with the user. As a result, the users have to go through a
similar elicitation process multiple times, that is, providing similar information that is used to build the user profiles to different applications. In the springtime of mashup applications, we observe the importance of considering user information in order to make the presented content more relevant to the user. For this purpose, it is necessary to have a platform/ framework that enables components in the mashup to reuse and exchange user profiles. In this paper, we present the Morpho framework that elicits, enhances, and transforms a user profile from one application to another application in a mashup environment. It deals with semantic and syntactic heterogeneity of data and schema of the user profile. We present the architecture of Morpho and a case study to exemplify the approach followed in this current work.
...
Many Web applications have offered personalization and adaptation
as their features in order to provide personalized services to their users. The
user profiles are gathered independently by these applications often through an explicit dialogue with the user. As a result, the users have to go through a
similar elicitation process multiple times, that is, providing similar information that is used to build the user profiles to different applications. In the springtime of mashup applications, we observe the importance of considering user information in order to make the presented content more relevant to the user. For this purpose, it is necessary to have a platform/ framework that enables components in the mashup to reuse and exchange user profiles. In this paper, we present the Morpho framework that elicits, enhances, and transforms a user profile from one application to another application in a mashup environment. It deals with semantic and syntactic heterogeneity of data and schema of the user profile. We present the architecture of Morpho and a case study to exemplify the approach followed in this current work.