Ernesto william de luca alan said matthias b hmer and florian michahelles
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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 )

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

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Ernesto william de luca alan said matthias b hmer and florian michahelles

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


Organizers

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: [email protected]

Context-Awareness in Retrieval and Recommendation (CARR2011)


Organizers1

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: [email protected]

Context-Awareness in Retrieval and Recommendation (CARR2011)


Organizers2

Organizers

Matthias Böhmer

German Research Center for AI

DFKI

Researcher at Innovative Retail Laboratory(http://www.innovative-retail.de)

E-mail: [email protected]

Context-Awareness in Retrieval and Recommendation (CARR2011)


Organizers3

Organizers

Florian Michahelles

Auto-ID Labs at ETH Zurich

Zurich, Switzerland

Associate director(http://www.im.ethz.ch/people/fmichahelles)

E-mail: [email protected]

Context-Awareness in Retrieval and Recommendation (CARR2011)


Aim of the carr workshop

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)


Previous workshops context awareness in retrieval and recommendation

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)


Can we define context

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)


Ernesto william de luca alan said matthias b hmer and florian michahelles

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)


Context aware information

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)


Carr general information

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)


Carr topics

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)


Agenda 1 6

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)


Agenda 2 6

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)


Agenda 3 6

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)


Agenda 4 6

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)


Agenda 5 6

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)


Agenda 6 6

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)


Ernesto william de luca alan said matthias b hmer and florian michahelles

Thanks!

Context-Awareness in Retrieval and Recommendation (CARR2011)


Agenda session 1

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)


Agenda session 2

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)


Agenda session 3

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)


Agenda session 4

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)


Agenda session 41

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)


Agenda session 42

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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