We describe a recommender system which uses a unique combination of content-based and collaborative methods to suggest items of interest to users, and also to learn and exploit item semantics. Recommender systems typically use techniques from collaborative filtering, in which proximity measures between users are formulated to generate recommendations, or content-based filtering, in which users ...

Web provides a large-scale corpus for researchers to study the language usages in real world. Developing a web-scale corpus needs not only a lot of computation resources, but also great efforts to handle the large variations in the web texts, such as character encoding in processing Chinese web texts. In this paper, we aim to develop a web-scale Chinese word N-gram corpus with parts of speech i...

Non-flammable characteristic of dry-type castresin transformers make them suitable for residential and hospital usages. However, because of resin’s property, thermal behavior of these transformers is undesirable, so it is important to analyze their thermal behavior. Temperature distribution of cast-resin transformers is mathematically modeled in this paper. The solution of the model was carried...

Abstract We are often justified in acting on the basis of evidential confirmation. I argue that this is because inductive inference supports belief non-quantificational—or generic —generalizations, rather than universally quantified generalizations. show how account supports, undermines, a Bayesian inference. Induction from confirming instances generalization to corresponding part reasoning ins...

Genes located on the two replicating strands are found to have two separate base/codon usages in Ehrlichia canis genome. Although strand-specific codon usage is not the first observation, for the first time we have applied multiple methods to the analysis of strand composition bias. By combining multiple methods, comprehensive and interesting results are obtained. Among three types of correspon...

Current search engines do not explicitly take different meanings and usages of user queries into consideration when they rank the search results. As a result, they tend to retrieve results that cover the most popular meanings or usages of the query. Consequently, users who want results that cover a rare meaning or usage of query or results that cover all different meanings/usages may have to go...