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  • Recommender System for Fashion Design 
    Aung, Thiri; Htoon, Ei Chaw (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    Recommender system applies knowledge of discovery technique to the problem of making personalized recommendations for information, products, or services. In this paper, an effective framework for combining content and ...
  • Recommender System for Movies using Collaborative Filtering 
    Hlaing, Nan Yu; Oo, May Phyo (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    Recommender systems are programs which attempt to predict items that a user may be interest in. Recommender systems acts personalized decision guides, aiding users in decisions on matter related to personal taste. Recommender ...
  • Recommender System for Movies using Content-based Filtering 
    Phyu, Su Pwint; Thein, Lay Myat Myat (Eighth Local Conference on Parallel and Soft Computing, 2017-12-27)
    Information filtering systems, which recommend appropriate information to users from enormous amount of information, are becoming popular. Recommender systems are programs which attempt to predict items that a user may ...
  • Recommender System for Online Learning Using Personalization with K-Means Clustering Algorithm 
    Aein, Hsu Pan; Win, Thandar (Sixth Local Conference on Parallel and Soft Computing, 2011-12-29)
    Recommender Systems are software tools and techniques providing suggestions for items to be of use to a user. Recommder systems have proven to be valuable means for online users to cope with the information overload and ...
  • Recommender System for Pharmacy Shop By using Item-Based Collaborative Approach 
    Oo, Nwe Ni; Kham, Nang Saing Moon (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    Recommender systems use the opinions of a community of users to help individuals in that community more effectively identify content of interest from a potentially overwhelming set of choices. One of the most successful ...
  • Recommender System for Pharmacy Using Multi-Agent 
    Aung, Hninn Mar; Chan, Wint Nyein (Fifth Local Conference on Parallel and Soft Computing, 2010-12-16)
    Multi-agent Recommender System exploits a collection of interacting agents jointly executing the recommendation generation process. Each agent processes part of the recommendation and/or the interaction, and the established ...
  • Recommender System Using Item-Based Collaborative Filtering 
    Soe, Cherry; Khaing, Thet Thet (Fifth Local Conference on Parallel and Soft Computing, 2010-12-16)
    The tremendous growth in the amount of available information and the number of visitors to Web sites in recent years poses some key challenges for recommender systems. Recommender systems form a specific type of information ...
  • Recommending Generalized Products in Collaborative Filtering 
    Htun, Aye Kaday; Zaw, Wint Thida (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    Recommender systems are particularly useful for computer users, here decisions must be normally taken in a short time and the effort required for interacting with the system must be limited as much as possible. The ...
  • Reconstruction of Ancient Pagodas 
    Aung, Thida; Sein, Myint Myint; Hama, Hiromitsu (IEEE 7th Global Conference on Consumer Electronics, 2018-10-18)
    The reconstruction of the damaged historical building, pagoda and temple is a critical task in disaster recovering process. In Myanmar, many pagodas are destroyed due to the earthquake. In this research, 3D reconstruction ...
  • Record Matching System for Publication Dataset using Multi-pass Sorted Neighborhood Method 
    Yi, Soe Lai (Fifth Local Conference on Parallel and Soft Computing, 2010-12-16)
    Record matching is the task of identifying records that match the same real world entity. Detecting data records that are approximate duplicates, is an important task. Datasets may contain duplicate records concerning the ...
  • Recovering Nodes Failure in Replica System by Using Data Replacement Algorithm in a HDFS Cluster 
    Zaw, Myint; Oo, Khine Khine (Fourteenth International Conference On Computer Applications (ICCA 2016), 2016-02-25)
    HDFS (Hadoop Distributed File System) is designed to store big data reliably, and it has been distributed file. However, it is not replacement for failure nodes. Replication technology is a key component in every computing ...
  • Recovering UML Class Diagram from Java Source Code 
    Khaing, Ye Ye; Pearl (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    Recovering the static structure of legacy source code is important in program understanding. A complex system can be simplified by a model exposing only some aspects of the system. In this system, we apply one of the most ...
  • Reducing Error Rate for ASR using Semantic Error Correction Approach 
    Myint, Theint Zarni; Khaing, Myo Kay (Twelfth International Conference On Computer Applications (ICCA 2014), 2014-02-17)
    Many application environments have already used speech interface. But the low speech recognition rate makes it difficult to extend its application to new fields. In the human-computer interaction through spoken dialogue ...
  • Reducing Latency Gaps in Client Server Environment with Overclocking Technology 
    Aung, Win Win (Thirteenth International Conferences on Computer Applications(ICCA 2015), 2015-02-05)
    In client server communication, the client is completely dependent on the server for computation logic; while, the application logic is performing for the client. The latency measurement is important and this paper ...
  • Reducing the Size of Feature Set by Using Modified MCA 
    Khaing, Myo (Fourteenth International Conference On Computer Applications (ICCA 2016), 2016-02-25)
    Reducing the size of a feature set, without altering the original representation, is an essential data processing step prior to applying a learning algorithm. The removal of irrelevant and redundant information improves ...
  • Reduction Processing Time in Rule- Based Expert System Using Rete Algorithm 
    Ma, Tin Ma (Eighth Local Conference on Parallel and Soft Computing, 2017-12-27)
    Nowadays, many Rule-Based Expert Systems have been proposed and almost all of them assume “IF-THEN” rules. The process of matching rules is performed by the data-driven approach, Forward Chaining method, in the ...
  • Reduction Processing Time in Rule-Based Expert System Using Rete Algorithm 
    Ma, Tin Ma; Yee, Myint Myint (National Journal of Parallel and Soft Computing, 2019-03)
    Nowadays, many Rule-Based Expert Systems have been proposed and almost all of them assume “IF-THEN” rules. The process of matching rules is performed by the data-driven approach, Forward Chaining method, in the Rule-Based ...
  • Refining Ungrammatical Word Ordered System in Writing Some Myanmar Sentences on the Web 
    Htun, Baby (Eleventh International Conference On Computer Applications (ICCA 2013), 2013-02-26)
    The system expects target language output to be grammatically correct within the frame of proper grammatical category. In Myanmar language sentences, it may include ungrammatical word ordered format. So, this paper want ...
  • Region based Complexity Reduction Algorithm for H.264/AVC Encoder 
    Bharanitharan, K. (Ninth International Conference On Computer Applications (ICCA 2011), 2011-05-05)
    H.264, MPEG-4 Part 10, is the latest digital video coding standard that achieves very high data compression by using several new coding features. One of the key features is the intra prediction based on the rate distortion ...
  • A Region-based Robust 3D Face Recognition 
    Doyoddorj, Munkhbaatar; Kim, Chang-Soo; Park, Man-Gon; Rhee, Kyung-Hyune (Ninth International Conference On Computer Applications (ICCA 2011), 2011-05-05)
    We present a region-based robust 3D face recognition approach which is robust to facial expressions, illumination changes and occlusions. Facial surface is often deformed by expressions. Generally, the mouth is the ...

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