Retrieving Targeted Results from a Static File Repository using a Keyword matching Mechanism relying on a Cluster-based Algorithm

Abstract

Due to the fact that the web based solutions designed for learning contain, among the compulsory functions, the uploading of didactic materials of the person doing the examining (on a regular basis this being the professor) and the possibility of accessing these by the examinee (on a regular basis this being the student), within this paper we have chosen to set the goal of finding a resolution that will enable the access of content relevant to the person being examined. Hereby we have suggested a prototype which will capacitate the singling out and grouping of documents depending on the keywords, which will be followed by a visual search depending on the distance between two documents, by the recurrence of the closest k documents to the one being the element of interest - reaching the optimal alternative in case of a performance oriented point of view. The algorithm needed for the extraction of this data is presented within the paper. An optimization model is proposed in order to reduce the time consuming component in regards to the minimization of differences in the quality of the documents resulted in the automatic search using a k Nearest Neighbour grid search engine.

Keywords

• e-learning
• grid-based algorithm
• kNN
• automatic grid search optimization.