Context-aware intelligent recommender system Authors: Mehdi Elahi Keywords: active learning, classification, context-aware, fuzzy logic, recommendation systems, recommenders
Abstract:
This demo paper presents a context-aware recommendation system. The system mines data from user’s web searches and other sources to improve the presentation of content on visited web pages. While user is browsing the internet, a memory resident agent records and analyzes the content of the webpages that were either searched for or visited in order to identify topic preferences. Then, based on such information, the content of requested web page is ranked and classified with different styles. The demo shows how a music weblog can be modified automatically based on user’s affinities.
Context-aware recommendation systems help present relevant information in large topic maps but I am more interested in their use for authoring systems.
Automatic construction of topics/roles/associations based on prior choices (for user approval) comes to mind.
Not a tool for a casual author but certainly a power tool for professional information explorers. (librarians?)