FG Agententechnologien in betrieblichen Anwendungen und der Telekommunikation (AOT)

18 Items

Recent Submissions
Distributed enterprise search using software agents

Gunadi, Erwin ; Meder, Michael ; Plumbaum, Till ; Scheel, Christian ; Hopfgartner, Frank ; Albayrak, Sahin (2014)

In this paper we introduce a distributed information retrieval system using agent-based technology. In this multi-agent system, each agent has its own specific task and can be used to handle a specific document repository. The system is designed to automatically comply with access restriction rules that are normally enforced in companies. It is used in the administration offices of the German c...

Report on the SIGIR 2013 workshop on benchmarking adaptive retrieval and recommender systems

Castells, Pablo ; Hopfgartner, Frank ; Said, Alan ; Lalmas, Mounia (2013)

In recent years, immense progress has been made in the development of recommendation, retrieval, and personalisation techniques. The evaluation of these systems is still based on traditional information retrieval and statistics metrics, e.g., precision, recall and/or RMSE, often not taking the use-case and situation of the actual system into consideration. However, the rapid evolution of recomm...

A Visualization Tool for Violent Scenes Detection

Maniry, Dominique ; Acar, Esra ; Hopfgartner, Frank ; Albayrak, Sahin (2014)

We present a browser-based visualization tool that allows users to explore movies and online videos based on the violence level of these videos. The system offers visualizations of annotations and results of the MediaEval 2012 Affect Task and can interactively download and analyze content from video hosting sites like YouTube.

Users' reading habits in online news portals

Esiyok, Cagdas ; Kille, Benjamin ; Jain, Brijnesh-Johannes ; Hopfgartner, Frank ; Albayrak, Sahin (2014)

The aim of this study is to survey reading habits of users of an online news portal. The assumption motivating this study is that insight into the reading habits of users can be helpful to design better news recommendation systems. We estimated the transition probabilities that users who read an article of one news category will move to read an article of another (not necessarily distinct) news...

Shedding light on a living lab: the CLEF NEWSREEL open recommendation platform

Brodt, Torben ; Hopfgartner, Frank (2014)

In the CLEF NEWSREEL lab, participants are invited to evaluate news recommendation techniques in real-time by providing news recommendations to actual users that visit commercial news portals to satisfy their information needs. A central role within this lab is the communication between participants and the users. This is enabled by The Open Recommendation Platform (ORP), a web-based platform w...

The Video Browser Showdown: a live evaluation of interactive video search tools

Schöffmann, Klaus ; Ahlström, David ; Bailer, Werner ; Cobârzan, Claudiu ; Hopfgartner, Frank ; McGuinness, Kevin ; Gurrin, Cathal ; Frisson, Christian ; Le, Duy-Dinh ; Del Fabro, Manfred ; Bai, Hongliang ; Weiss, Wolfgang (2014)

The Video Browser Showdown evaluates the performance of exploratory video search tools on a common data set in a common environment and in presence of the audience. The main goal of this competition is to enable researchers in the field of interactive video search to directly compare their tools at work. In this paper, we present results from the second Video Browser Showdown (VBS2013) and desc...

Overview of CLEF NEWSREEL 2014: news recommendation evaluation labs

Kille, Benjamin ; Brodt, Torben ; Heintz, Tobias ; Hopfgartner, Frank ; Lommatzsch, Andreas ; Seiler, Jonas (2014)

This paper summarises objectives, organisation, and results of the first news recommendation evaluation lab (NEWSREEL 2014). NEWSREEL targeted the evaluation of news recommendation algorithms in the form of a campaignstyle evaluation lab. Participants had the chance to apply two types of evaluation schemes. On the one hand, participants could apply their algorithms onto a data set. We refer to ...

User-item reciprocity in recommender systems: incentivizing the crowd

Said, Alan ; Larson, Martha ; Tikk, Domonkos ; Cremonesi, Paolo ; Karatzoglou, Alexandros ; Hopfgartner, Frank ; Turrin, Roberto ; Geurts, Joost (2014)

Data consumption has changed significantly in the last 10 years. The digital revolution and the Internet has brought an abundance of information to users. Recommender systems are a popular means of finding content that is both relevant and personalized. However, today's users require better recommender systems, able of producing continuous data feeds keeping up with their instantaneous and mobi...

Providing multilingual access to health-related content

Plumbaum, Till ; Narr, Sascha ; Eryilmaz, Elif ; Hopfgartner, Frank ; Klein-Ellinghaus, Funda ; Reese, Anna ; Albayrak, Sahin (2014)

Finding health-related content is not an easy task. People have to know what to search for, which medical terms to use, and where to find accurate information. This task becomes even harder when people such as immigrants wish to find information in their country of residence and do not speak the national language very well. In this paper, we present a new health information system that allows u...

When to recommend What? A study on the role of contextual factors in IP-based TV services

Yuan, Jing ; Sivrikaya, Fikret ; Marx, Stefan ; Hopfgartner, Frank (2014)

Today’s IP-based TV services commonly strive for personalizing their content offers using complex recommendation systems to match their users’ interests. These systems try to capture the relevance of content recommended to a user, which may also depend on many contextual factors such as time, location, or social company. Nevertheless, in most cases, these factors are either omitted or integrate...

An intelligent health assistant for migrants

Plumbaum, Till ; Narr, Sascha ; Schwartze, Veit ; Hopfgartner, Frank ; Albayrak, Sahin (2013)

Preventive health is becoming an increasingly important part of our society. In addition to improving people’s personal well being, another positive effect is the reduction of costs for medical treatments that put a high burden on individuals and health care providers. Despite these advantages, preventive health services are still not used at a desired level. This is especially true for people ...

Workshop on benchmarking adaptive retrieval and recommender systems - BARS 2013

Castells, Pablo ; Hopfgartner, Frank ; Said, Alan ; Lalmas, Mounia (2013)

Evaluating adaptive and personalized information retrieval techniques is known to be a difficult endeavor. The rapid evolution of novel technologies in this scope raises additional challenges that further stress the need for new evaluation approaches and methodologies. The BARS 2013 workshop seeks to provide a specific venue for work on novel, personalization-centric benchmarking approaches to ...

Detecting violent content in Hollywood movies by mid-level audio representations

Acar, Esra ; Hopfgartner, Frank ; Alyabrak, Sahin (2013)

Movie violent content detection e.g., for providing automated youth protection services is a valuable video content analysis functionality. Choosing discriminative features for the representation of video segments is a key issue in designing violence detection algorithms. In this paper, we employ mid-level audio features which are based on a Bag-of-Audio Words (BoAW) method using Mel-Frequency ...

Violence detection in Hollywood movies by the fusion of visual and mid-level audio cues

Acar, Esra ; Hopfgartner, Frank ; Albayrak, Sahin (2013)

Detecting violent scenes in movies is an important video content understanding functionality e.g., for providing automated youth pro- tection services. One key issue in designing algorithms for violence detection is the choice of discriminative features. In this paper, we employ mid-level audio features and compare their discriminative power against low-level audio and visual features. We fuse ...

Activating the Crowd: Exploiting User-Item Reciprocity for Recommendation

Larson, Martha ; Said, Alan ; Shi, Yue ; Cremonesi, Paolo ; Tikk, Domonkos ; Karatzoglou, Alexandros ; Baltrunas, Linas ; Geurts, Jozef ; Anguera, Xavi ; Hopfgartner, Frank (2013-10-12)

Recommender systems have always faced the problem of sparse data. In the current era, however, with its demand for highly personalized, real-time, context-aware recommendation, the sparse data problem only threatens to grow worse. Crowd-sourcing, specifically, outsourcing micro-requests for information to the crowd, opens new possibilities to fight the sparse data challenge. In this paper, we l...

Workshop and Challenge on News Recommender Systems

Tavakolifard, Mozhgan ; Atle Gulla, Jon ; Almeroth, Kevin C. ; Hopfgartner, Frank ; Kille, Benjamin ; Plumbaum, Till ; Lommatzsch, Andreas ; Brodt, Torben ; Bucko, Arthur ; Heintz, Tobias (2013-10-12)

Recommending news articles entails additional requirements to recommender systems. Such requirements include special con- sumption patterns, fluctuating item collections, and highly sparse user profiles. This workshop (NRS’13@RecSys) brought together researchers and practitioners around the topics of designing and evaluating novel news recommender systems. Additionally, we offered a challenge a...

The plista dataset

Kille, Benjamin ; Hopfgartner, Frank ; Brodt, Torben ; Heintz, Tobias (2013)

Releasing datasets has fostered research in fields such as information retrieval and recommender systems. Datasets are typically tailored for specific scenarios. In this work, we present the plista dataset. The dataset contains a collection of news articles published on 13 news portals. Additionally, the dataset comprises user interactions with those articles. We inctroduce the dataset’s main c...

Perceived and Actual Role of Gamification Principles

Meder, Michael ; Plumbaum, Till ; Hopfgartner, Frank (2013-12-09)

Although gamification has successfully been applied in office scenarios, it remains unclear how employees really feel about the introduction of a gamified system at their workplace. In this paper, we address this issue from two directions. First, we present the outcome of an online survey where we analyze users’ opinion about gamification in a workplace environment. Then, we analyze the interac...