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IJCAI
2007
15 years 8 months ago
ItemRank: A Random-Walk Based Scoring Algorithm for Recommender Engines
Recommender systems are an emerging technology that helps consumers to find interesting products. A recommender system makes personalized product suggestions by extracting knowle...
Marco Gori, Augusto Pucci
LREC
2008
97views Education» more  LREC 2008»
15 years 8 months ago
On Classifying Coherent/Incoherent Romanian Short Texts
In this paper we present and discuss the results of a text coherence experiment performed on a small corpus of Romanian text from a number of alternative high school manuals. Duri...
Anca Dinu
LWA
2008
15 years 8 months ago
An Exploratory Study of User Goals and Strategies in Podcast Search
We report on an exploratory, qualitative user study designed to identify users' goals underlying podcast search, the strategies used to gain access to podcasts, and how curre...
Jana Besser, Katja Hofmann, Martha Larson
USAB
2008
15 years 8 months ago
Challenges in the Development and Evaluation of Immersive Digital Educational Games
In this paper, we describe a conceptual framework and address the related issues and solutions in the identification of three major challenges for the development and evaluation of...
Effie Lai-Chong Law, Michael D. Kickmeier-Rust, Di...
CSREAEEE
2006
175views Business» more  CSREAEEE 2006»
15 years 7 months ago
A Time-Based Recommender System Using Implicit Feedback
- Recommender systems provide personalized recommendations on products or services to customers. Collaborative filtering is a widely used method of providing recommendations based ...
Tong-Queue Lee, Young Park