A model and algorithm of fuzzy product positioning
Information Sciences—Informatics and Computer Science: An International Journal
E-Commerce Recommendation Applications
Data Mining and Knowledge Discovery
Evaluation of alternatives for product customization using fuzzy logic
Information Sciences—Informatics and Computer Science: An International Journal - Special issue: Informatics and computer science intelligent systems applications
A collaborative recommender system based on probabilistic inference from fuzzy observations
Fuzzy Sets and Systems
A hybrid recommendation approach for a tourism system
Expert Systems with Applications: An International Journal
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Depending on the type of the product, different kinds of personalized recommender systems can be built to guide the consumers in a large product feature space. In the approach, we present a fuzzy-based recommender system for those products that a general consumer does not buy very often, especially for consumer electronic products. For those consumer electronic products, it is difficult and not necessary to reason a customer's previous preferences because there may not be enough information about the customer's past purchases and the customer may have his specific requirements in each single purchase. Hence the system has specific domain knowledge and capability to interact with the consumer. Experimental results show the promise of our systems.