Exploiting Hierarchical Tags for Context-awareness


Context-awareness for information retrieval is challenging problem as information about the user's current situation is rarely available. If such information would be available, retrieval and recommendation systems could nd information relevant to their users' current context. We present a model for creating contextualized recommendations based on implicitly expressed context via keywords assigned to previously seen items. When employed, the model can improve the performance of recommender systems.

author = {Alan Said and Jérôme Kunegis and Ernesto W. De Luca and Sahin Albayrak},
title = {Exploiting Hierarchical Tags for Context-awareness},
year = {2010},
 booktitle = {ESAIR '10: Proceedings of the CIKM '10 Workshop on Exploiting Semantic Annotations in Information Retrieval},
location = {Toronto, Canada},
isbn = {978-1-4503-0372-9},
publisher = {ACM},
address = {New York, NY, USA},
Alan Said, Jérôme Kunegis, Ernesto William De Luca, Sahin Albayrak
Conference Paper
ACM CIKM '10 Workshop on Exploiting Semantic Annotations for Information Retrieval (ESAIR)