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EEE
2005
IEEE
13 years 11 months ago
Feature Selection Methods for Conversational Recommender Systems
This paper focuses on question selection methods for conversational recommender systems. We consider a scenario, where given an initial user query, the recommender system may ask ...
Nader Mirzadeh, Francesco Ricci, Mukesh Bansal
CIKM
2005
Springer
13 years 11 months ago
A hybrid approach to NER by MEMM and manual rules
This paper describes a framework for defining domain specific Feature Functions in a user friendly form to be used in a Maximum Entropy Markov Model (MEMM) for the Named Entity Re...
Moshe Fresko, Binyamin Rosenfeld, Ronen Feldman
KDD
2004
ACM
187views Data Mining» more  KDD 2004»
14 years 5 months ago
Mission-Based Navigational Behaviour Modeling for Web Recommender Systems
Web recommender systems anticipate the information needs of on-line users and provide them with recommendations to facilitate and personalize their navigation. There are many appro...
Osmar R. Zaïane, Jia Li, Robert Hayward
SIGIR
2009
ACM
13 years 12 months ago
Predicting user interests from contextual information
Search and recommendation systems must include contextual information to effectively model users’ interests. In this paper, we present a systematic study of the effectiveness of...
Ryen W. White, Peter Bailey, Liwei Chen
DMIN
2007
183views Data Mining» more  DMIN 2007»
13 years 6 months ago
Crawling Attacks Against Web-based Recommender Systems
—User profiles derived from Web navigation data are used in important e-commerce applications such as Web personalization, recommender systems, and Web analytics. In the open en...
Runa Bhaumik, Robin D. Burke, Bamshad Mobasher