نتایج جستجو برای: tfidf vector space model
تعداد نتایج: 2616913 فیلتر نتایج به سال:
Current Information Retrieval models do not directly incorporate context, which is instead managed by means of techniques juxtaposed to indexing or retrieval. In this paper, direct modeling of context is addressed by proposing the full recover of the notion of vector space base, whose role has been understated in the formulation and investigation of the Vector Space Model. A base of a vector sp...
In Wesson's canonical model, the universe is assumed to be five dimensional (5D) empty space time. This model corresponds to a solution of the Einstein field equation in five dimensions which, from a four dimensional point of view, is equivalent to a universe with a positive cosmological constant. In this model, the fifth direction is perpendicular to the four dimensional space time and is not...
Background: Peritoneal dialysis is one of the most commonly used treatment methods for the patients with end stage renal failure. In recent years, the mortality rate of patients under this treatment has decreased; however, long-term survival is still an important challenge for health systems. The present study aimed to predict the survival of continuous ambulatory peritoneal dialysis patients. ...
Good similarity functions are crucial for many important subtasks in data integration, such as “soft joins” and data deduping, and one widely-used similarity function is TFIDF similarity. In this paper we describe a modification of TFIDF similarity that is more appropriate for certain datasets: namely, large data collections formed by merging together many smaller collections, each of which is ...
PU learning occurs frequently in Web pages classification and text retrieval applications because users may be interested in information on the same topic. Collecting reliable negative examples is a key step in PU (Positive and Unlabeled) text classification, which solves a key problem in machine learning when no labeled negative examples are available in the training set or negative examples a...
This paper describes an application of support vector machines (SVMs) to interactive document retrieval using active learning. We show that an SVM-based retrieval has an association with conventional Rocchio-based relevance feedback by a comparative analysis. We propose a cosine kernel, which denotes cosine similarity, suitable for an SVM-based interactive document retrieval based on the analys...
The size of the World Wide Web is growing rapidly and it has become a very important source of information that can be useful to various academic and commercial applications. However, because of the large number of documents online, it is becoming increasingly difficult to search for useful information on the Web. General-purpose Web search engines, such as Google and AltaVista, present search ...
Pseudo Ricci symmetric real hypersurfaces of a complex projective space are classified and it is proved that there are no pseudo Ricci symmetric real hypersurfaces of the complex projective space CPn for which the vector field ξ from the almost contact metric structure (φ, ξ, η, g) is a principal curvature vector field.
Information retrieval is great technology behind web search services. In information retrieval, it is common to model index terms and documents as vectors in a suitably defined vector space. The vector space model is one of the classical and widely applied retrieval models to evaluate relevance of web page. The retrieval operation consists of computing the cosine similarity function between a g...
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