Relevance feedback is a powerful query modification technique in the field of content-based image retrieval. The key issue in relevance feedback is how to effectively utilize the ...
Information retrieval systems can be partitioned into two main classes: large-scale systems that make use of an inverted index or some other auxiliary data structure, intended for...
The paper presents an approach to combine knowledge from memory and brain sciences with information retrieval research in the design of Web agents. An information retrieval agent f...
Chance discovery provides a way to find rare but very important events for future decision making. It can be applied to stock market prediction, earthquake alarm, intrusion detect...
Abstract. We propose that traditional case-based recommender systems can be improved by informing them with context data describing the user's environment. We outline existing...