Article Title：An expressive query language for Product Recommender Systems
Abstract：
We argue that existing approaches to the construction of content-based Product Recommender Systems (Filter-Based Retrieval and Similarity-Based Retrieval) use inadequately expressive query languages. We introduce a new approach, which we call Order-Based Retrieval. We define and exemplify the six operators that constitute its query language. We show how these operators can better support the elicitation of both the customer's initial requirements and refinements to the initial requirements.
Keywords: case-based reasoning; matchmaker systems; order-based retrieval; recommender systems; similarity-based retrieval
DOI: 10.1023/A:1020743321429
Source：ARTIFICIAL INTELLIGENCE REVIEW
Welcome to correct the error, please contact email: humanisticspider@gmail.com
