in this paper, after reviewing some results in minimal space, some new results in this setting are given. we prove a generalized form of the fan-kkm typetheorem in minimal vector spaces. as some applications, the open type of matching theorem and generalized form of the classical kkm theorem in minimal vector spaces are given.

Abstract The focused crawler grabs continuously web pages related to the given topic according priorities of unvisited hyperlinks. In many previous studies, crawlers predict hyperlinks based on text similarity models. However, representation terms page ignore phenomenon polysemy, and cannot combine cosine semantic effectively. To address these problems, this paper proposes a disambiguation vect...

Learning. Abstract: Document categorization is a technique where the category of a document is determined. In this paper three well-known supervised learning techniques which are Support Vector Machine(SVM), Naïve Bayes(NB) and Stochastic Gradient Descent(SGD) compared for Bengali document categorization. Besides classifier, classification also depends on how feature is selected from dataset. F...

In ML4UM user models are often represented by n–ary vectors. In the course of content-based document recommendation, the vectors represent significance of “key”–phrases for the user’s interest which is defined as the frequency (TFIDF and similar) of those phrases in the documents the user has rated (‘relevance feedback’) as interesting in the past. In order to decide whether to recommend a docu...

in this paper, the concept of {sl local base with  stratifiedstructure} in $i$-topological vector spaces is introduced. weprove that every $i$-topological vector space has a balanced localbase with stratified structure. furthermore, a newcharacterization of $i$-topological vector spaces by means of thelocal base with stratified structure is given.

In web information retrieval, the terms or keywords are used for indexing purpose of document. These terms or keywords appear in special location such as title, subtitle, header, hyperlinks and so on. Vector space model ignores the importance of these terms with respect to their position while calculating the weight of the indexing terms. The effectiveness of the vector space model crucially de...