Presentation is loading. Please wait.

Presentation is loading. Please wait.

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

Similar presentations


Presentation on theme: "Ernesto William De Luca, Alan Said, Matthias Böhmer and Florian Michahelles."— Presentation transcript:

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

2 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)http://www.dai-labor.de/en/irml  Context-Awareness in Retrieval and Recommendation (CARR2011)

3 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)http://www.dai-labor.de/en/irml  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)http://www.innovative-retail.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)http://www.im.ethz.ch/people/ fmichahelles  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) 6

7 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 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).

8 Can We Define Context? ”Any information that can be used to characterise the situation of entities”, Dey 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 Context-Awareness in Retrieval and Recommendation (CARR2011)

9 + Filters relevant information Ad hoc recommendations Aware of changes - What is context? Where do we find it? Why do we need Context? 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) 10

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: 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 Retrieval and Recommendation Ernesto William De Luca; Alan Said; Matthias Böhmer; Florian Michahelles  9:15 – 9:45 Towards a Context-Sensitive Online Newspaper Jeremy 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) Implicit Acquisition of Context for Personalization of Information Retrieval Systems Chang Liu; Nicholas J. Belkin  10:00-10:30 (instead of 16:00 – 16:30) Guidance and Support for Healthy Food Preparation in an Augmented Kitchen Jurgen Wagner; Gijs Geleijnse; 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 (Invited Keynote)  12:00-12:30 Real-time, Location-aware Collaborative Filtering of Web Content Thomas Sandholm; Hang Ung  12:30-13:00 RecLab: A System For eCommerce Recommender Research with Real Data, Context and Feedback Darren 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 Papers Kiyoko Uchiyama; Akiko Aizawa; Hidetsugu Nanba; Takeshi Sagara  14:15-14:30 (short) Utilizing Implicit Feedback and Context to Recommend Mobile Applications from First Use Christoffer Davidsson; 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-Criteria Decision Making Methods Roland 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) Context-Awareness in Retrieval and Recommendation (CARR2011)

18 Agenda (6/6) Session 4 (16:00-17:30)  16: :30 Open Discussion trying to focus on the CARR problems and questions 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 Newspaper Jeremy Jancsary; Friedrich Neubarth; Stephanie Schreitter; Harald Trost  9:45- 10:00 (short) Implicit Acquisition of Context for Personalization of Information Retrieval Systems Chang Liu; Nicholas J. Belkin  10:00-10:30 (instead of 16:00 – 16:30) Guidance and Support for Healthy Food Preparation in an Augmented Kitchen Jurgen Wagner; Gijs Geleijnse; 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 (Invited Keynote)  12:00-12:30 Real-time, Location-aware Collaborative Filtering of Web Content Thomas Sandholm; Hang Ung  12:30-13:00 RecLab: A System For eCommerce Recommender Research with Real Data, Context and Feedback Darren 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 Papers Kiyoko Uchiyama; Akiko Aizawa; Hidetsugu Nanba; Takeshi Sagara  14:15-14:30 (short) Utilizing Implicit Feedback and Context to Recommend Mobile Applications from First Use Christoffer Davidsson; Simon Moritz  14:30-15:00 Context-Aware POI Recommendations in an Automotive Scenario using Multi-Criteria Decision Making Methods Roland 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) Context-Awareness in Retrieval and Recommendation (CARR2011)

23 Agenda (Session 4) Session 4 (16:00-17:30)  16: :30 Open Discussion trying to focus on the CARR problems and questions 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  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) 25 Agenda (Session 4)


Download ppt "Ernesto William De Luca, Alan Said, Matthias Böhmer and Florian Michahelles."

Similar presentations


Ads by Google