Case-based reasoning
Amazon.com Recommendations: Item-to-Item Collaborative Filtering
IEEE Internet Computing
ICCBR '01 Proceedings of the 4th International Conference on Case-Based Reasoning: Case-Based Reasoning Research and Development
Proceedings of the 27th annual international ACM SIGIR conference on Research and development in information retrieval
VLDB '07 Proceedings of the 33rd international conference on Very large data bases
Open information extraction from the web
Communications of the ACM - Surviving the data deluge
Semantics and Experience in the Future Web
ECCBR '08 Proceedings of the 9th European conference on Advances in Case-Based Reasoning
Opinion Mining and Sentiment Analysis
Foundations and Trends in Information Retrieval
An evaluation of the GhostWriter system for case-based content suggestions
AICS'09 Proceedings of the 20th Irish conference on Artificial intelligence and cognitive science
The virtue of reward: performance, reinforcement and discovery in case-based reasoning
ICCBR'05 Proceedings of the 6th international conference on Case-Based Reasoning Research and Development
The demonstration of the reviewer's assistant
Proceedings of the sixth ACM conference on Recommender systems
Improving user experience with case-based reasoning systems using text mining and Web 2.0
Expert Systems with Applications: An International Journal
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It is not uncommon now for people to write reviews of products and services and to publish them on Web sites. They express their opinions on books they have read, movies they have seen, hotels they have stayed in, retailers with whom they have had dealings, and so on. These reviews are a source of experience that can inform subsequent users when they make purchase and consumption decisions. But in this paper we show that we can also use these reviews as a source of experience to support the authors of subsequent reviews. We describe GhostWriter-2.0, which takes a Case-Based Reasoning approach to reusing existing reviews to dynamically suggest topics that could be covered by the author of a new review. GhostWriter-2.0 takes a general Case-Based Reasoning approach but is currently configured to operate with Amazon's information servers, and can therefore assist users who are writing reviews of the wide range of products that Amazon sells on-line. We present the results of a user trial, which shows that the suggestions that GhostWriter-2.0 makes do get used and do seem to have value. We also present the results of an experiment that compares different ways of populating the case base from which the suggestions are drawn.