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Ernesto William De Luca, Alan Said, Matthias Böhmer and Florian Michahelles
Organizers
Ernesto William De Luca
Technische Universität Berlin. DAI-Labor Head of the Competence Center
for Information Retrieval and Machine Learning. (http://www.dai-labor.de/en/irml)
E-mail: ernesto.deluca@dai-labor.de
13.02.2011 2 Context-Awareness in Retrieval and Recommendation (CARR2011)
Organizers
Alan Said
Technische Universität Berlin. DAI-Labor Member of the Competence
Center for Information Retrieval and Machine Learning. (http://www.dai-labor.de/en/irml)
E-mail: alan.said@dai-labor.de
13.02.2011 3 Context-Awareness in Retrieval and Recommendation (CARR2011)
Organizers
Matthias Böhmer
German Research Center for AI DFKI Researcher at Innovative Retail
Laboratory(http://www.innovative-retail.de)
E-mail: matthias.boehmer@dfki.de
13.02.2011 4 Context-Awareness in Retrieval and Recommendation (CARR2011)
Organizers
Florian Michahelles
Auto-ID Labs at ETH Zurich Zurich, Switzerland Associate director
(http://www.im.ethz.ch/people/fmichahelles)
E-mail: fmichahelles@ethz.ch
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Aim of the CaRR Workshop
Invite the community to a discussion in which we will try to find new creative ways to handle context-awareness
Improve the exchange of ideas between different communities involved (user interfaces, machine learning, information retrieval and recommendation)
13.02.2011 Context-Awareness in Retrieval and Recommendation (CARR2011)
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Previous Workshops
Context-awareness in Retrieval and Recommendation
Current SOA systems are generally context-ignorant, CAMRa focused on identifying and utilizing contextual data in real-life data from Moviepilot and Filmtipset.
13.02.2011 7
www.filmtipset.se
www.moviepilot.com
Context-Awareness in Retrieval and Recommendation (CARR2011)
Challenge on Context-aware Movie Recommendation (CAMRa2010)joint event with the Workshop on Context-aware
Recommender Systems (CARS-2010)in conjunction with the ACM Recommender Systems
2010 Conference (RecSys2010).
http://www.dai-labor.de/camra2010/
Can We Define Context?
”Any information that can be used to characterise the situation of entities”, Dey 2001
1.Item context• Seasonal (Christmas, Oscar’s)• Relation (movie sequel, director, actor)
2.User context• Surroundings (weather, location)• Company (alone, with friends)• Mood/emotions• any user related factor
13.02.2011 8 Context-Awareness in Retrieval and Recommendation (CARR2011)
+•Filters relevant information•Ad hoc recommendations•Aware of changes
-•What is context?•Where do we find it?
Why do we need Context?
13.02.2011 9 Context-Awareness in Retrieval and Recommendation (CARR2011)
Context-aware information
It is widely available in various ways interaction patterns, location, devices,
annotations, query suggestions and user profiles
It is becoming more and more important for enhancement of retrieval performance and
recommendation results personalization and adaptation of information
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CaRR general information
16 Submissions - 9 Accepted (6 Long, 3 Short) 56% Acceptance Rate
Every submission was evaluated by at least three of the 36 Members of the program committee.
Proceedings wil be published in ACM DL
All related information are available at:
http://www.dai-labor.de/carr2011/
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CaRR Topics
CaRR Papers cover different topics:
Information Retrieval Recommender Systems Natural Language Processing and
Recommender Systems Smart Environments
13.02.2011 12 Context-Awareness in Retrieval and Recommendation (CARR2011)
Agenda (1/6)
Session 1 (9:00-10:30)9:00 – 9:15 Context-awareness in Retrieval and RecommendationErnesto William De Luca; Alan Said; Matthias Böhmer; Florian Michahelles
9:15 – 9:45 Towards a Context-Sensitive Online NewspaperJeremy Jancsary; Friedrich Neubarth; Stephanie Schreitter; Harald Trost
13.02.2011 13 Context-Awareness in Retrieval and Recommendation (CARR2011)
Agenda (2/6)
Session 1 (9:00-10:30)9:45- 10:00 (short) Implicit Acquisition of Context for Personalization of Information Retrieval SystemsChang Liu; Nicholas J. Belkin
10:00-10:30 (instead of 16:00 – 16:30) Guidance and Support for Healthy Food Preparation in an Augmented KitchenJurgen Wagner; Gijs Geleijnse; Aart van Halteren
Break (10:30-11:00)
13.02.2011 14 Context-Awareness in Retrieval and Recommendation (CARR2011)
Agenda (3/6)
Session 2 (11:00-13:00)11:00-12:00 Innovative Retail Laboratory: Assistive Technology in Retail Environments.Antonio Krüger (Invited Keynote)
12:00-12:30 Real-time, Location-aware Collaborative Filtering of Web ContentThomas Sandholm; Hang Ung
12:30-13:00 RecLab: A System For eCommerce Recommender Research with Real Data, Context and FeedbackDarren Vengroff
Lunch (13:00-14:00)
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Agenda (4/6)
Session 3 (14:00-15:30)14:00-14:15 (short) Cross-lingual Recommender System for Research PapersKiyoko Uchiyama; Akiko Aizawa; Hidetsugu Nanba; Takeshi Sagara
14:15-14:30 (short) Utilizing Implicit Feedback and Context to Recommend Mobile Applications from First UseChristoffer Davidsson; Simon Moritz
13.02.2011 16 Context-Awareness in Retrieval and Recommendation (CARR2011)
Agenda (5/6)
Session 3 (14:00-15:30)14:30-15:00 Context-Aware POI Recommendations in an Automotive Scenario using Multi-Criteria Decision Making MethodsRoland Bader; Eugen Neufeld; Wolfgang Woerndl; Vivian Prinz
15:00-15:30 Designing Activity-aware Recommender Systems for Operating Rooms, Afsaneh Doryab; Jakob E. Bardram
Break (15:30-16:00)
13.02.2011 17 Context-Awareness in Retrieval and Recommendation (CARR2011)
Agenda (6/6)
Session 4 (16:00-17:30)16:00 - 17:30 Open Discussion trying to focus on the CARR problems and questions.
13.02.2011 18 Context-Awareness in Retrieval and Recommendation (CARR2011)
Thanks!
13.02.2011 19 Context-Awareness in Retrieval and Recommendation (CARR2011)
Agenda (Session 1)
Session 1 (9:00-10:30)9:15 – 9:45 Towards a Context-Sensitive Online NewspaperJeremy Jancsary; Friedrich Neubarth; Stephanie Schreitter; Harald Trost9:45- 10:00 (short) Implicit Acquisition of Context for Personalization of Information Retrieval SystemsChang Liu; Nicholas J. Belkin10:00-10:30 (instead of 16:00 – 16:30) Guidance and Support for Healthy Food Preparation in an Augmented KitchenJurgen Wagner; Gijs Geleijnse; Aart van Halteren
Break (10:30-11:00)
13.02.2011 20 Context-Awareness in Retrieval and Recommendation (CARR2011)
Agenda (Session 2)
Session 2 (11:00-13:00)11:00-12:00 Innovative Retail Laboratory: Assistive Technology in Retail Environments.Antonio Krüger (Invited Keynote)12:00-12:30 Real-time, Location-aware Collaborative Filtering of Web ContentThomas Sandholm; Hang Ung12:30-13:00 RecLab: A System For eCommerce Recommender Research with Real Data, Context and FeedbackDarren Vengroff
Lunch (13:00-14:00)
13.02.2011 21 Context-Awareness in Retrieval and Recommendation (CARR2011)
Agenda (Session 3)Session 3 (14:00-15:30)14:00-14:15 (short) Cross-lingual Recommender System for Research PapersKiyoko Uchiyama; Akiko Aizawa; Hidetsugu Nanba; Takeshi Sagara14:15-14:30 (short) Utilizing Implicit Feedback and Context to Recommend Mobile Applications from First UseChristoffer Davidsson; Simon Moritz14:30-15:00 Context-Aware POI Recommendations in an Automotive Scenario using Multi-Criteria Decision Making MethodsRoland Bader; Eugen Neufeld; Wolfgang Woerndl; Vivian Prinz15:00-15:30 Designing Activity-aware Recommender Systems for Operating Rooms, Afsaneh Doryab; Jakob E. Bardram
Break (15:30-16:00)
13.02.2011 22 Context-Awareness in Retrieval and Recommendation (CARR2011)
Agenda (Session 4)
Session 4 (16:00-17:30)16:00 - 17:30 Open Discussion trying to focus on the CARR problems and questions.
13.02.2011 23 Context-Awareness in Retrieval and Recommendation (CARR2011)
Agenda (Session 4) CARR problems and questions:
What is context? Is context-awareness
in retrieval and recommendation necessary? 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?13.02.2011 24 Context-Awareness in Retrieval and
Recommendation (CARR2011)
CARR Topics 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
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Agenda (Session 4)
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