User interactions with everyday applications as context for just-in-time information access
Proceedings of the 5th international conference on Intelligent user interfaces
Improving the effectiveness of information retrieval with local context analysis
ACM Transactions on Information Systems (TOIS)
Placing search in context: the concept revisited
Proceedings of the 10th international conference on World Wide Web
Visualizing web site comparisons
Proceedings of the 11th international conference on World Wide Web
Dynamic Memory: A Theory of Reminding and Learning in Computers and People
Dynamic Memory: A Theory of Reminding and Learning in Computers and People
CBR for Document Retrieval: The FALLQ Project
ICCBR '97 Proceedings of the Second International Conference on Case-Based Reasoning Research and Development
Topic-conditioned novelty detection
Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining
Identifying topics by position
ANLC '97 Proceedings of the fifth conference on Applied natural language processing
Newsjunkie: providing personalized newsfeeds via analysis of information novelty
Proceedings of the 13th international conference on World Wide Web
Focused named entity recognition using machine learning
Proceedings of the 27th annual international ACM SIGIR conference on Research and development in information retrieval
Text classification and named entities for new event detection
Proceedings of the 27th annual international ACM SIGIR conference on Research and development in information retrieval
Just-in-time information retrieval agents
IBM Systems Journal
The Knowledge Engineering Review
Progress in textual case-based reasoning: predicting the outcome of legal cases from text
AAAI'06 proceedings of the 21st national conference on Artificial intelligence - Volume 2
Sophia: a novel approach for textual case-based reasoning
IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence
The general motors variation-reduction adviser: evolution of a CBR system
ICCBR'03 Proceedings of the 5th international conference on Case-based reasoning: Research and Development
What do they think?: aggregating local views about news events and topics
Proceedings of the 17th international conference on World Wide Web
LocalSavvy: aggregating local points of view about news issues
Proceedings of the first international workshop on Location and the web
Temporal Company Relation Mining from the Web
APWeb/WAIM '09 Proceedings of the Joint International Conferences on Advances in Data and Web Management
Learning to find comparable entities on the web
WISE'12 Proceedings of the 13th international conference on Web Information Systems Engineering
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Comparing and contrasting is an important strategy people employ to understand new situations and create solutions for new problems. Similar events can provide hints for problem solving, as well as larger contexts for understanding the specific circumstances of an event. Lessons can leaned from past experience, insights can be gained about the new situation from familiar examples, and trends can be discovered among similar events. As the largest knowledge base for human beings, the Web provides both an opportunity and a challenge to discover comparable cases in order to facilitate situation analysis and problem solving. In this paper, we present Compare & Contrast, a system that uses the Web to discover comparable cases for news stories, documents about similar situations but involving distinct entities. The system analyzes a news story given by the user and builds a model of the story. With the story model, the system dynamically discovers entities comparable to the main entity in the original story and uses these comparable entities as seeds to retrieve web pages about comparable cases. The system is domain independent, does not require any domain-specific knowledge engineering efforts, and deals with the complexity of unstructured text and noise on the web in a robust way. We evaluated the system with an experiment on a collection of news articles and a user study.