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Ernesto William De Luca, Alan Said, Matthias Böhmer and Florian Michahelles

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 )

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Ernesto William De Luca, Alan Said, Matthias Böhmer and Florian Michahelles

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  1. Ernesto William De Luca, Alan Said, Matthias Böhmer and Florian Michahelles

  2. Organizers Ernesto William De Luca Technische Universität Berlin. DAI-Labor Head ofthe Competence Center for Information RetrievalandMachine Learning. (http://www.dai-labor.de/en/irml) E-mail: ernesto.deluca@dai-labor.de Context-Awareness in Retrieval and Recommendation (CARR2011)

  3. Organizers Alan Said Technische Universität Berlin. DAI-Labor Member ofthe Competence Center for Information RetrievalandMachine Learning. (http://www.dai-labor.de/en/irml) E-mail: alan.said@dai-labor.de Context-Awareness in Retrieval and Recommendation (CARR2011)

  4. 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 Context-Awareness in Retrieval and Recommendation (CARR2011)

  5. 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 Context-Awareness in Retrieval and Recommendation (CARR2011)

  6. 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) Context-Awareness in Retrieval and Recommendation (CARR2011)

  7. Previous WorkshopsContext-awareness in Retrieval and Recommendation Challenge on Context-aware Movie Recommendation (CAMRa2010)joint event with the Workshop on Context-awareRecommender Systems (CARS-2010) in conjunction with the ACM Recommender Systems 2010 Conference (RecSys2010). http://www.dai-labor.de/camra2010/ www.moviepilot.com www.filmtipset.se Current SOA systems are generally context-ignorant, CAMRa focused on identifying and utilizing contextual data in real-life data from Moviepilot and Filmtipset. Context-Awareness in Retrieval and Recommendation (CARR2011)

  8. Can We Define Context? ”Any information that can be used to characterise the situation of entities”, Dey 2001 • Item context • Seasonal (Christmas, Oscar’s) • Relation (movie sequel, director, actor) • User context • Surroundings (weather, location) • Company (alone, with friends) • Mood/emotions • any user related factor Context-Awareness in Retrieval and Recommendation (CARR2011)

  9. Why do we need Context? + Filters relevant information Ad hoc recommendations Aware of changes - What is context? Where do we find it? Context-Awareness in Retrieval and Recommendation (CARR2011)

  10. 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 Context-Awareness in Retrieval and Recommendation (CARR2011)

  11. 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/ Context-Awareness in Retrieval and Recommendation (CARR2011)

  12. CaRR Topics CaRR Papers cover different topics: Information Retrieval Recommender Systems Natural Language Processing and Recommender Systems Smart Environments Context-Awareness in Retrieval and Recommendation (CARR2011)

  13. Agenda (1/6) Session 1 (9:00-10:30) 9:00 – 9:15 Context-awareness in RetrievalandRecommendationErnesto 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 Context-Awareness in Retrieval and Recommendation (CARR2011)

  14. Agenda (2/6) Session 1 (9:00-10:30) 9:45- 10:00 (short) ImplicitAcquisitionofContextforPersonalizationof Information Retrieval SystemsChang Liu; Nicholas J. Belkin 10:00-10:30 (insteadof 16:00 – 16:30) Guidanceand Support forHealthy Food Preparation in an AugmentedKitchenJurgen Wagner; GijsGeleijnse; Aart van Halteren Break (10:30-11:00) Context-Awareness in Retrieval and Recommendation (CARR2011)

  15. Agenda (3/6) Session 2 (11:00-13:00) 11:00-12:00 Innovative Retail Laboratory: Assistive Technology in Retail Environments.Antonio Krüger (InvitedKeynote) 12:00-12:30 Real-time, Location-aware Collaborative Filteringof Web ContentThomas Sandholm; Hang Ung 12:30-13:00 RecLab: A System For eCommerce Recommender Research with Real Data, Contextand FeedbackDarren Vengroff Lunch (13:00-14:00) Context-Awareness in Retrieval and Recommendation (CARR2011)

  16. Agenda (4/6) Session 3 (14:00-15:30) 14:00-14:15 (short) Cross-lingual Recommender System for Research PapersKiyokoUchiyama; Akiko Aizawa; HidetsuguNanba; Takeshi Sagara 14:15-14:30 (short) UtilizingImplicit Feedback andContexttoRecommend Mobile Applicationsfrom First UseChristofferDavidsson; Simon Moritz Context-Awareness in Retrieval and Recommendation (CARR2011)

  17. Agenda (5/6) Session 3 (14:00-15:30) 14:30-15:00 Context-Aware POI Recommendations in an Automotive Scenario using Multi-CriteriaDecision Making MethodsRoland Bader; Eugen Neufeld; Wolfgang Woerndl; Vivian Prinz 15:00-15:30 DesigningActivity-aware Recommender Systems for Operating Rooms, Afsaneh Doryab; Jakob E. Bardram Break (15:30-16:00) Context-Awareness in Retrieval and Recommendation (CARR2011)

  18. Agenda (6/6) Session 4 (16:00-17:30) 16:00 - 17:30 Open Discussiontryingtofocus on the CARR problemsandquestions. Context-Awareness in Retrieval and Recommendation (CARR2011)

  19. Thanks! Context-Awareness in Retrieval and Recommendation (CARR2011)

  20. 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 Trost 9:45- 10:00 (short) ImplicitAcquisitionofContextforPersonalizationof Information Retrieval SystemsChang Liu; Nicholas J. Belkin 10:00-10:30 (insteadof 16:00 – 16:30) Guidanceand Support forHealthy Food Preparation in an AugmentedKitchenJurgen Wagner; GijsGeleijnse; Aart van Halteren Break (10:30-11:00) Context-Awareness in Retrieval and Recommendation (CARR2011)

  21. Agenda (Session 2) Session 2 (11:00-13:00) 11:00-12:00 Innovative Retail Laboratory: Assistive Technology in Retail Environments.Antonio Krüger (InvitedKeynote) 12:00-12:30 Real-time, Location-aware Collaborative Filteringof Web ContentThomas Sandholm; Hang Ung 12:30-13:00 RecLab: A System For eCommerce Recommender Research with Real Data, Contextand FeedbackDarren Vengroff Lunch (13:00-14:00) Context-Awareness in Retrieval and Recommendation (CARR2011)

  22. Agenda (Session 3) Session 3 (14:00-15:30) 14:00-14:15 (short) Cross-lingual Recommender System for Research PapersKiyokoUchiyama; Akiko Aizawa; HidetsuguNanba; Takeshi Sagara 14:15-14:30 (short) UtilizingImplicit Feedback andContexttoRecommend Mobile Applicationsfrom First UseChristofferDavidsson; Simon Moritz 14:30-15:00 Context-Aware POI Recommendations in an Automotive Scenario using Multi-CriteriaDecision Making MethodsRoland Bader; Eugen Neufeld; Wolfgang Woerndl; Vivian Prinz 15:00-15:30 DesigningActivity-aware Recommender Systems for Operating Rooms, Afsaneh Doryab; Jakob E. Bardram Break (15:30-16:00) Context-Awareness in Retrieval and Recommendation (CARR2011)

  23. Agenda (Session 4) Session 4 (16:00-17:30) 16:00 - 17:30 Open Discussiontryingtofocus on the CARR problemsandquestions. Context-Awareness in Retrieval and Recommendation (CARR2011)

  24. 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? Context-Awareness in Retrieval and Recommendation (CARR2011)

  25. Agenda (Session 4) • 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 Context-Awareness in Retrieval and Recommendation (CARR2011)

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