1 wi/iat/wirss 2009 23.9.2009 pewe, bratislava, slovakia web intelligence intelligent agent...
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1WI/IAT/WIRSS 200923.9.2009PeWe, Bratislava, Slovakia
Web Intelligence Intelligent Agent Technologies
Web IR Support Systems
Michal Tvarožek([email protected])
Slovak University of Technology in Bratislava
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2WI/IAT/WIRSS 2009
Universita Degli Studi di Milano Bicocca, Italy
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3WI/IAT/WIRSS 2009
Overview
• 15-18 September 2009
• Participants from 40+ countries
• 600 submissions, ~17% rate, 3-4 reviews
• WI/IAT, 4 parallel sessions, 10+ workshops
• 7 invited talks
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4WI/IAT/WIRSS 2009
Overall conference topics
• Query logs• Click-stream analysis• Personalization and recommender systems• Tagging, social networks• Semantic Web, uncertainty• Agent technologies, cognitive science• Robotics, distributed technologies
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5WI/IAT/WIRSS 2009
Search computing
• Stefano Ceri– Politecnico di Milano
• New multi-disciplinary science• Supposed to do the same things as SW
(i.e. answer the toughest queries)• … but without the (online) semantics…• … bottom up = syntactic layer semantics
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6WI/IAT/WIRSS 2009
Actionable agent trading strategies
• Chengqi Zhang
– University of Technology, Sydney
• Brokers and financial firms
• Creating and combining actionable strategies
for agent independent trading
• Modeling domain knowledge
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7WI/IAT/WIRSS 2009
Intelligent social network modeling
• Ronald R. Yager– Iona College, New Rochelle, U.S.A.– Supposedly in the 1% most cited guys
out there (500+ papers, 7000+ citations)• Enriching social network modeling
with uncertainty and fuzzy sets• Bridging human understanding and formal
network models
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8WI/IAT/WIRSS 2009
From brain informatics to WI
• Yulin Qin
– WIC Institute, Beijing; CMU, U.S.A.
• Relation between WI and BI
• Granular reasoning
• Too in-depth on BI knowledge and ACT-R
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9WI/IAT/WIRSS 2009
Malicious code detection
• Bhavani Thuraisingham– University of Texas, Dallas
• National and cyber security• Data mining for threats; intrusion detection• “Active defense” – we spread worms &
viruses, obfuscate and try not to get caught• We cannot evaluate it as it is illegal and we
would go to jail (but we aren’t the bad guys)
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10WI/IAT/WIRSS 2009
Swarm-bots and swarm intelligence
• Marco Dorigo– Université Libre de Bruxelles, Belgium
• Model robots based on ant swarms
• What can many small/simple robots do?– Self-assembly– Morphology control– Path finding
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11WI/IAT/WIRSS 2009
Agent based aiding of human teams
• Katia P. Sycara– Carnegie Mellon University, U.S.A.
• Adding agents to human teamsto facilitate communication and collaboration
• Focus on time stressed environments– Radar operators
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12WI/IAT/WIRSS 2009
References
• Proceedings…
• Mining negative relevance feedback for information filtering – Yuefeng Li et al.• Are clickthroughs useful for image labelling? – Helen Ashman et al.• The geographical life of search – Ricardo Baeza-Yates et al.• Novel item recommendation by user profile partitioning – Neil Hurley et al.• Time-dependent models in collaborative filtering rec. systems – Liang Xiang et al.• An experimental analysis of suggestions in collaborative tagging – Dirk Bollen et al.• Personalized recommenders integrating social tags and item taxonomy – Huizhi Liang et al.• A DBLP search support engine – Yi Zeng et al.• Differential tag clouds: highlighting particular features in docs – Geraldo Xexeo et al.• Utilizing images for assisting cross-language IR on the web – Yoshihiko Hayashi et al.• A query construction service for large-scale web search engines – Ioannis Papadakis et al.
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13WI/IAT/WIRSS 2009
Final impressions
• Fact retrieval Exploratory search
• Web IR Web IR Support Systems
• Focus on the users’ perspective
• Enable users to make good decisions quickly
• Improve user experience…
…not “just” precision & recall
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14WI/IAT/WIRSS 2009
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15WI/IAT/WIRSS 2009
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16WI/IAT/WIRSS 2009
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17WI/IAT/WIRSS 2009