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» Making Better Recommendations with Online Profiling Agents
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AAAI
2004
13 years 6 months ago
Making Better Recommendations with Online Profiling Agents
In recent years, we have witnessed the success of autonomous agents applying machine learning techniques across a wide range of applications. However, agents applying the same mac...
Danny Oh, Chew Lim Tan
ICWSM
2008
13 years 6 months ago
Spontaneous Inference of Personality Traits and Effects on Memory for Online Profiles
As users navigate online social spaces, they encounter numerous personal profiles, each displaying a unique constellation of attributes. How do users make sense of this informatio...
Kristin Brooke Stecher, Scott Counts
IUI
2006
ACM
13 years 10 months ago
Are two talking heads better than one?: when should use more than one agent in e-learning?
Recent interest in the use of software character agents raises the issue of how many agents should be used in online learning. In this paper we review evidence concerning the rela...
Hua Wang, Mark H. Chignell, Mitsuru Ishizuka
ICCBR
2005
Springer
13 years 10 months ago
Re-using Implicit Knowledge in Short-Term Information Profiles for Context-Sensitive Tasks
Typically, case-based recommender systems recommend single items to the on-line customer. In this paper we introduce the idea of recommending a user-defined collection of items whe...
Conor Hayes, Paolo Avesani, Emiliano Baldo, Padrai...
AH
2008
Springer
13 years 11 months ago
Concept-Based Document Recommendations for CiteSeer Authors
The information explosion in today’s electronic world has created the need for information filtering techniques that help users filter out extraneous content to identify the righ...
Kannan Chandrasekaran, Susan Gauch, Praveen Lakkar...