Santipong Thaiprayoon

• Master of Information Technology
• Research Assistant at National Electronics and Computer Technology Center

Today Twitter has become a popular online medium for posting and sharing news and events. Generally, many Twitter posts or “tweets” refer to the same topics or events. Searching on Twitter could return a long list of search results. To solve the problem, we propose an approach for clustering the Twitter search results based on the Suffix Tree Clust...

The pervasiveness of mobile computing has become ubiquitous in daily life, particularly for people who visit various locations in the physical world through their mobile devices. Similarly, providing valuable services, actions, and information tailored to a specific area or environment can make user interactions more seamless , personalized, and co...

Mobile devices have become ubiquitous in daily lives, especially for people who use their smartphones throughout the day while visiting different places in the real world. Providing valuable services and information that are tailored to a specific area or environment can make user interactions more seamless, personalized, and convenient. This paper...

With rising demands for accessibility, security, and privacy, the future of the Web has attracted significant attention from the digital economy, focusing on improving data protection and user experience. This article proposes a conceptual framework enabling local users to directly and safely access and share web content and services on the local a...

This paper proposes a personalized context-aware recommendation towards the development of an autonomous intelligent agent for an individual user on online social networks. The goal is to automatically provide personalized and context-dependent recommendations of a list of relevant items, including friends, points of interest, and advertisements, t...

This paper proposes a new mechanism of clustering of words based on graph models. The process of the proposed mechanism aims to automatically group similar words in a textual graph into a suitable cluster. The method utilizes the concepts of graph-based clustering to divide a set of similar words according to the criterion of distance ranges to the...

One problem of building a Thai plagiarism corpus is the unavailability of the corpus with real examples of plagiarized texts. To solve the problem, we present a new design and construction of a Thai plagiarism corpus, called TPLAC-2019, to evaluate the plagiarism detection algorithms for Thai. The process of Thai plagiarism corpus creation consists...

Expert finding is a task of identifying a list of people who are considered experts in a given specific domain. Many previous works have adopted bibliographic records (i.e., publications) as a source of evidence for representing the areas of expertise [1,2]. In this paper, we present an expertise mapping approach based on a probabilistic keyword an...

A large-scale R&D project collaboration requires various areas of expertise, i.e, multidisciplinary, with multiple partners. Such R&D problems include global warming, emerging infectious diseases, and energy issues. One typical approach for identifying a group of expert candidates is to first come up with an initial expert and then use his/her refe...

Among many practical and domain-specific tasks, expertise retrieval (ER) has recently gained increasing attention in the information retrieval and knowledge management communities. This paper describes our ongoing project to design and implement an expert retrieval system with the scope on researchers who work in Thailand. In our current system pro...

In this paper, we utilize bibliographic data for identifying author-topic relations which can be used to enhance the traditional literature review. When writing a research paper, researchers often cite on the order of tens of references which do not provide the complete coverage of the research context especially when the targeted research is multi...

Science and technology (S&T) information presents a rich resource, vital for managing research and development (R&D) programs. Modern S&T electronic abstract databases such as Science Citation Index and INSPEC provide comprehensive information on research activities in many different domains. These databases mostly include English language publicat...

This paper presents a new algorithm called ldquoconcept-groupingrdquo that adapts an association rule mining technique to construct term thesaurus for data preprocessing purpose. Similar terms, which are written differently, can be grouped together into the same concept based on their associations before they are used for subsequent analysis. This...