Categorizer: a tool to categorize genes into user-defined biological groups based on semantic similarity

Use of Semantic Similarity and Web Usage Mining to Alleviate the Drawbacks of User-Based Collaborative Filtering Recommender Systems

  One of the most famous methods for recommendation is user-based Collaborative Filtering (CF). This system compares active user’s items rating with historical rating records of other users to find similar users and recommending items which seems interesting to these similar users and have not been rated by the active user. As a way of computing recommendations, the ultimate goal of the user-ba...

Adaptive User-defined Similarity Measure

With the aim of audiovisual database consulting, the prospect of an interactive visual organization tool should be enviable. We consider a document as a visual entity in a computer screen. Thanks to an appropriate simplified GUI, a user can organize a few documents. Its notion of audiovisual similarity is relative to the Euclidean distance between entities: the more they are close, the more the...

Analysis of User query refinement behavior based on semantic features: user log analysis of Ganj database (IranDoc)

Background and Aim: Information systems cannot be well designed or developed without a clear understanding of needs of users, manner of their information seeking and evaluating. This research has been designed to analyze the Ganj (Iranian research institute of science and technology database) users’ query refinement behaviors via log analysis.    Methods: The method of this research is log anal...

Semantic-Driven Parallelization of Loops Operating on User-Defined Containers

We describe ROSE, a C++ infrastructure for source-to-source translation, that provides an interface for programmers to easily write their own translators for optimizing user-defined high-level abstractions. Utilizing the semantics of these high-level abstractions, we demonstrate the automatic parallelization of loops that iterate over user-defined containers that have interfaces similar to the ...

Semantic Similarity To compare the similarity of interacting proteins based on GO terms, we use a modified semantic similarity measure 8, using the maximum semantic similarity score