appazaar » research http://appazaar.net Recommending Android Apps Fri, 20 Jan 2012 07:07:10 +0000 en hourly 1 http://wordpress.org/?v=3.3.1 Related Workshop on Context-aware Recommendation http://appazaar.net/related-workshop-on-context-aware-recommendation/ http://appazaar.net/related-workshop-on-context-aware-recommendation/#comments Mon, 05 Dec 2011 16:10:29 +0000 mboehmer https://www.appazaar.net/?p=239 2nd Workshop on Context-awareness in Retrieval and Recommendation

Location: Lisbon, Portugal
Date: February 14, 2012
Website: http://carr-workshop.org

General Information
Following the successful 2011 Workshop on Context-awareness in Retrieval and Recommendation we are delighted to invite you to the second installment which will be held in conjunction with the 2012 Conference on Intelligent User Interfaces.

Context-aware information is widely available in various ways such as interaction patterns, location, devices, annotations, query suggestions and user profiles and is becoming more and more important for enhancing retrieval performance and recommendation results. At the moment, the main issue to cope with is not only recommending or retrieving the most relevant items and content, but defining them ad-hoc. Further relevant issues are personalizing and adapting the information and the way it is displayed to the user’s current situation (device, location) and interests.
In this workshop we focus on the integration of context for retrieval and recommendation.
We recognize a general content context and a user-centric content context. A general content context is a common case defined by time, weather, location and many similar other aspects. A user-centric content context is given by the content of user profiles such as language, interests, devices used for interaction, etc.

Call for Papers

The aim of the CaRR Workshop is to invite the community to a discussion in which we will try to find new creative ways to handle context-awareness. Furthermore, the workshop aims at improving the exchange of ideas between different communities involved in research concerning, among other HCI, machine learning, information retrieval and recommendation. The workshop is especially intended for researchers working on multidisciplinary tasks who want to discuss problems and synergies.

The participants are encouraged to address the following questions:

  • Which benefits come from context-aware retrieval and recommendation systems?
  • How do user interfaces handle context?
  • In what ways can context improve HCI?
  • How can we combine general- and user-centric context-aware technologies?
  • How should context affect the way information is presented?
  • Which new means for collecting user feedback does UbiComp provide?
  • What new type of items (beyond books, news and movies) are worth recommending by means of context-aware systems (e.g. places, friends, apps)?

The topics of interest include, but are not limited to, the following aspects:

  • Context-aware information retrieval
  • Context-aware profiling, clustering and collaborative filtering
  • Machine learning for context-aware information retrieval and ontology learning
  • Ubiquitous and context-aware computing
  • Use of context-aware technologies in UI/HCI
  • Context-aware advertising
  • Recommendations for mobile users
  • Context-awareness in portable devices

Paper submissions and reviews will be handled electronically through the CaRR page in EasyChair (which will be made available at a later point in time).

Important Dates

  • Paper submission: December 23rd, 2011
  • Notification: January 20th, 2012
  • Camera-ready submission: January 27th, 2012
  • Workshop: February 14th, 2012

General Chairs (info@carr-workshop.org)

  • Ernesto William De Luca – DAI Lab/Technische Universität Berlin
  • Matthias Böhmer – German Research Center for Artificial Intelligence (DFKI)
  • Alan Said – DAI Lab/Technische Universität Berlin
  • Ed Chi – Google Inc.

Program Committee (to be extended)

  • Omar Alonso – Microsoft, USA
  • Hideki Asoh – AIST, Japan
  • Tim Hussein – University of Duisburg-Essen, Germany
  • Linas Baltrunas – Telefonica Research, Spain
  • Toine Bogers – Royal School of Library Information Science, Denmark
  • Li Chen – Hong Kong Baptist University, China
  • Karen Church – Telefonica Research, Spain
  • Marco Degemmis – University of Bari “Aldo Moro”, Italy
  • Ido Guy – IBM, Israel
  • Brijnesh-Johannes Jain – TU-Berlin, Germany
  • Dietmar Jannach – TU-Dortmund, Germany
  • Alexandros Karatzoglou – Telefonica Research, Spain
  • Carsten Kessler – University of Münster, Germany
  • Alfred Kobsa – University of California, Irvine, USA
  • Antonio Krüger – DFKI, Saarbrücken, Germany
  • Michael Kruppa – DFKI, Berlin, Germany
  • Martha Larson – TU-Delft, The Netherlands
  • Ulf Leser – Humboldt-Universität zu Berlin, Germany
  • Pasquale Lops – University of Bari “Aldo Moro”, Italy
  • Petteri Nurmi – HIIT, Finnland
  • Till Plumbaum – DAI Lab/Technische Universität Berlin, Germany
  • Francesco Ricci – Free University of Bozen-Bolzano, Italy
  • Markus Schedl – Johannes Kepler University, Austria
  • Armando Stellato – University of Tor Vergata, Rome, Italy
  • Domonkos Tikk – Gravity R&D, Hungary
]]> http://appazaar.net/related-workshop-on-context-aware-recommendation/feed/ 0 The Design Space of appazaar http://appazaar.net/the-design-space-of-appazaar/ http://appazaar.net/the-design-space-of-appazaar/#comments Mon, 09 Aug 2010 10:32:05 +0000 mboehmer http://www.appazaar.net/?p=170 If you are interested in the mechanisms behind appaazar and our recommender system, we would like to call your attention the 2nd Workshop on Context-aware Recommender Systems that will take place at the 4th ACM Conference on Recommender Systems. We will present a paper there about the design space of context-aware recommender systems that suggest mobile applications. If you are interested, please drop us a mail to receive a copy. The abstract is as follows.

Abstract: Current technology development in mobile computing and upcoming application stores enable an easy development and distribution of mobile applications. This leads to an increasing number of available applications and to the user’s problem of content discovery. Recommender systems aim at guiding users to relevant items. Currently, recommender systems for mobile applications neglect that the usage of mobile devices is characterized by perpetual changes of a user’s context. In this paper, we give rise to the context-aware recommendation of mobile applications. We explore the design space of recommender systems for mobile applications and describe the different dimensions and techniques for capturing the users, the items, the contexts and the corresponding relevances. For proof of concept we present the prototype of a recommender system that combines the design options in a hitherto unexplored way.

You will find the approach described in the paper and some other ideas that came up and have been reported to us in the last weeks within the next version of appazaar. It will mainly improve our recommender system and fix some bugs of the Android app.

]]> http://appazaar.net/the-design-space-of-appazaar/feed/ 0 Meet the developers @ Pervasive 2010 http://appazaar.net/meet-the-developers-pervasive-2010/ http://appazaar.net/meet-the-developers-pervasive-2010/#comments Tue, 16 Mar 2010 08:23:05 +0000 mboehmer http://www.appazaar.net/?p=104 Hey guys, we didn’t give news for a while but we’re really busy working these days! Sorry for that but we’re pretty sure you’ll appreciate once we finally shipped the new version ;)

In the meantime we have some great news: We will present appazaar at Pervasive 2010 – The Eighth International Conference on Pervasive Computing. We got our poster “Contextualizing Mobile Applications for Context-aware Recommendation” accepted for presentation and the reviews are very motivating! Here’s a short summary of the papers content:

Abstract: Current recommender systems for mobile applications neglect the very mobility of their users and their perpetually changing contexts. Although applications naturally serve for a special purpose, they cannot be addressed to a particular context of use. Hitherto, context information is not taken into account for the recommendation of mobile applications. In this paper we present work in progress on a platform that gives rise to context-awareness for mobile application recommendation. It records the users’ application usage and relates it to context information that is traced on the users’ devices. Thereby we can determine the context of use of the applications. We describe the conceptual design of a recommender system that exploits this information and suggests only contextual relevant applications to its users. A prototype implementation is presented.

If you are interested in all the techniques and algorithms running behind the software, you can meet us at Pervasive 2010 in Helsinki, Finnland. You’ll also find the paper and the poster on this website after the presentation at the conference. However, if you cannot make it to the conference, please drop us an e-mail for any feedback, question or suggestion.

Oh and by the way, the next release is coming soon, we are just in the phase of stabilizing the new features. And it’ll come with a lot of new features and improvements ;)

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