Recommending twitter users to follow using content and collaborative filtering approaches
- John Hannon, Mike Bennett, Barry Smyth
- Computer ScienceACM Conference on Recommender Systems
- 26 September 2010
A range of different profiling and recommendation strategies are evaluated, based on a large dataset of Twitter users and their tweets, to demonstrate the potential for effective and efficient followee recommendation.
Similarity vs. Diversity
- Barry Smyth, Paul McClave
- Computer ScienceInternational Conference on Case-Based Reasoning
- 2 August 2001
This paper proposes and evaluates strategies for improving retrieval diversity in CBR systems without compromising similarity or efficiency and argues that often diversity can be as important as similarity.
Recommendation to Groups
- A. Jameson, Barry Smyth
- Computer ScienceThe Adaptive Web
- 2007
This chapter discusses the most important new issues that arise, organizing them in terms of four subtasks that can or must be dealt with by a group recommender: acquiring information about the user's preferences; generating recommendations; explaining recommendations; and helping users to settle on a final decision.
Remembering To Forget: A Competence-Preserving Case Deletion Policy for Case-Based Reasoning Systems
- Barry Smyth, Mark T. Keane
- Computer ScienceInternational Joint Conference on Artificial…
- 20 August 1995
Two new deletion strategies are proposed that can take both competence and performance into consideration during deletion, and they may cause problems for CBR system competence.
Improving Recommendation Diversity
- Keith Bradley, Barry Smyth
- Computer Science
- 2001
It is shown that very often recommendation diversity is important and that traditional recommendation systems are marred by poor diversity characteristics, and a new class of diversity-preserving algorithm is evaluated capable of addressing this without compromising similarity.
Understanding the intent behind mobile information needs
- K. Church, Barry Smyth
- Computer ScienceInternational Conference on Intelligent User…
- 8 February 2009
A four-week diary study of mobile information needs is carried out, looking in particular at the goal/intent behindMobile information needs, the topics users are interested in and the impact of mobile contexts such as location and time on user needs.
Modelling the Competence of Case-Bases
- Barry Smyth, E. McKenna
- Computer ScienceEWCBR
- 1 September 1998
It is argued that this model has an important role to play in areas such as the evaluation and benchmarking of case-based techniques, and a novel application of the model is demonstrated as a guide to case-base designers during the case authoring process.
Retrieval, reuse, revision and retention in case-based reasoning
- R. Mántaras, D. McSherry, I. Watson
- PsychologyKnowledge engineering review (Print)
- 1 September 2005
The cognitive science foundations of CBR and its relationship to analogical reasoning are examined, and a representative selection ofCBR research in the past few decades on aspects of retrieval, reuse, revision and retention are reviewed.
Using twitter to recommend real-time topical news
- Owen Phelan, Kevin McCarthy, Barry Smyth
- Computer ScienceACM Conference on Recommender Systems
- 23 October 2009
A novel approach to news recommendation that harnesses real-time micro-blogging activity, from a service such as Twitter, as the basis for promoting news stories from a user's favourite RSS feeds is described.
Footprint-Based Retrieval
- Barry Smyth, E. McKenna
- Computer ScienceInternational Conference on Case-Based Reasoning
- 27 July 1999
A novel retrieval technique is described that is guided by a model of case competence and that benefits from superior efficiency, competence and quality features.
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