Add to ORKGSummary The goal in information retrieval is to locate relevant documents in response to a user's query at the same time retrieving as few as possible of the irrelevant documents. One possible approach to this problem is to use the Singular Value Decomposition (SVD) which models documents and queries as vectors in reduced space. The components of the vector are determined by the term weighting scheme, a function of the frequencies of the terms in the document or query. In this paper, we discuss term weighting schemes and the results from experiment on Malay text retrieval using a set of Malay document collection
Within text categorization and other data mining tasks, the use of suitable methods for term weighti...
2018 International Conference on Artificial Intelligence and Data Processing, IDAP 2018 --28 Septemb...
The experimental evidence accumulated over the past 20 years indicates that textindexing systems ba...
Document categorization is a widely researched area of information retrieval. A research on Malay na...
Document categorization is a widely researched area of information retrieval. A popular approach to ...
The goal in information retrieval is to enable users to automatically and accurately find data relev...
Information retrieval of documents is an important process in the current time, and the vector space...
In this paper, we propose a novel approach for term weighting in very short documents that is used w...
The need for an efficient method to find the furthermost appropriate document corresponding to a par...
Document Clustering is an issue of measuring similarity between documents and grouping similar docum...
Nowadays information retrieval based on specific queries is already used in computer system. One of ...
Documents retrieval in Information Retrieval Systems (IRS) is generally about understanding of infor...
The levels-of-processing theory proposes that there are many ways to process and code information. T...
Stemming is an important process to improve performance of a search engine by reducing the variant w...
Abstract. Term weighting schemes play a vital role in the performance of many Information Retrieval ...
Within text categorization and other data mining tasks, the use of suitable methods for term weighti...
2018 International Conference on Artificial Intelligence and Data Processing, IDAP 2018 --28 Septemb...
The experimental evidence accumulated over the past 20 years indicates that textindexing systems ba...
Document categorization is a widely researched area of information retrieval. A research on Malay na...
Document categorization is a widely researched area of information retrieval. A popular approach to ...
The goal in information retrieval is to enable users to automatically and accurately find data relev...
Information retrieval of documents is an important process in the current time, and the vector space...
In this paper, we propose a novel approach for term weighting in very short documents that is used w...
The need for an efficient method to find the furthermost appropriate document corresponding to a par...
Document Clustering is an issue of measuring similarity between documents and grouping similar docum...
Nowadays information retrieval based on specific queries is already used in computer system. One of ...
Documents retrieval in Information Retrieval Systems (IRS) is generally about understanding of infor...
The levels-of-processing theory proposes that there are many ways to process and code information. T...
Stemming is an important process to improve performance of a search engine by reducing the variant w...
Abstract. Term weighting schemes play a vital role in the performance of many Information Retrieval ...
Within text categorization and other data mining tasks, the use of suitable methods for term weighti...
2018 International Conference on Artificial Intelligence and Data Processing, IDAP 2018 --28 Septemb...
The experimental evidence accumulated over the past 20 years indicates that textindexing systems ba...