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Full-Text Articles in Science and Technology Studies
Entity Recommendations Using Hierarchical Knowledge Bases, Siva Kumar Cheekula, Pavan Kapanipathi, Derek Doran, Prateek Jain, Amit P. Sheth
Entity Recommendations Using Hierarchical Knowledge Bases, Siva Kumar Cheekula, Pavan Kapanipathi, Derek Doran, Prateek Jain, Amit P. Sheth
Kno.e.sis Publications
Recent developments in recommendation algorithms have focused on integrating Linked Open Data to augment traditional algorithms with background knowledge. These developments recognize that the integration of Linked Open Data may or better performance, particularly in cold start cases. In this paper, we explore if and how a specific type of Linked Open Data, namely hierarchical knowledge, may be utilized for recommendation systems. We propose a content-based recommendation approaches that adapts a spreading activation algorithm over the DBpedia category structure to identify entities of interest to the user. Evaluation of the algorithm over the Movielens dataset demonstrates that our method yields …
Editorial: The Idio-Technopolis, Katina Michael
Editorial: The Idio-Technopolis, Katina Michael
Professor Katina Michael
The rapid rise of social media has brought with it an emphasis on the distinct dimensions of the whole person. Social media recognises that the individual has a personal network of extensions- a home life, a work life, a social life, a study life, a hobbyist life, and much more- some of these identities even hidden from full view. Each of these online value networks are now accessible by big business, where opinion leaders and early adopters are easily distinguishable, and where brand commentary between consumers matters manifold more than any form of targeted advertising.