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Collaborative filtering (CF) is a successful approach for building online recommender systems. The fundamental process of the CF approach is to predict how a user would like to rate a given item based on the ratings of some nearest-neighbor users (user-based CF) or nearest-neighbor items (item-based CF). In the user-based CF approach, for example, the(More)
This paper describes the new framework of context-dependent (CD) Initial/Final (IF) acoustic modeling using the decision tree based state tying for continuous Chinese speech recognition. The Extended Initial/Final (XIF) set is chosen as the basic speech recognition unit (SRU) set according to the Chinese language characteristics, which outperforms the(More)
An accurate model of the user's preferences is a crucial element of most decision support systems. It is often assumed that users have a well-defined and stable set of preferences that can be elicited through a set of questions. However, recent research has shown that people very often construct their preferences on the fly depending on the available(More)
Critiquing techniques provide an easy way for users to feedback their preferences over one or several attributes of the products in a conversational recommender system. While unit critiques only allow users to critique one attribute of the products each time, a well-generated set of compound critiques enables users to input their preferences on several(More)
Conversational recommender systems are designed to help users to more efficiently navigate complex product spaces by alternatively making recommendations and inviting users' feedback. Compound critiquing techniques provide an efficient way for users to feed back their preferences (in terms of several simultaneous product attributes) when interfacing with(More)
Finding the optimal solution of a Multi-Attribute Decision Problem (MADP) is a key problem for electronic commerce systems. In this paper, we formally define the multi-attribute decision problem, and we report our survey of four different methods (soft-CSP framework, multi-attribute decision theory, CP-network, and Heuristic strategies) which potentially(More)
Compound critiques allow users to simultaneously express directional preferences over several product attributes. Presenting the user with compound critiques is not a new idea. The original Find-Me Systems (e.g., Car Navigator) showed static compound critiques; they didn't change irrespective of user preferences or the product availability. Recently, a(More)
One crucial task for e-commerce systems is to help buyers find products that not only satisfy their preferences but also reduce their search effort. Usually the amount of available products is far beyond the upper limit that any individual could process by hand; thus product search tools are employed to generate target product (s) by eliciting the buyer's(More)