Secure and selective dissemination of XML documents
ACM Transactions on Information and System Security (TISSEC)
A Grammar Based Model for XML Schema Integration
BNCOD 17 Proceedings of the 17th British National Conferenc on Databases: Advances in Databases
Content-boosted collaborative filtering for improved recommendations
Eighteenth national conference on Artificial intelligence
Evaluating collaborative filtering recommender systems
ACM Transactions on Information Systems (TOIS)
Fashion design styles recommended by consumers' sensibility and emotion
Human Factors in Ergonomics & Manufacturing
WebPUM: A Web-based recommendation system to predict user future movements
Expert Systems with Applications: An International Journal
Sensibility Ergonomics Design Recommendation System Using Weather WebBot
ICISA '11 Proceedings of the 2011 International Conference on Information Science and Applications
An effective recommendation algorithm for clustering-based recommender systems
AI'05 Proceedings of the 18th Australian Joint conference on Advances in Artificial Intelligence
A user-item relevance model for log-based collaborative filtering
ECIR'06 Proceedings of the 28th European conference on Advances in Information Retrieval
Context and profile based cascade classifier for efficient people detection and safety care system
Multimedia Tools and Applications
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Analysis of a customer's sensibility preferences is an important strategy in a market that is becoming increasingly more customer-oriented. In this paper, the interactive design recommendation using the sensor based smart wear and the weather WebBot (DRS-WB) is proposed. The proposed method is increasing the efficiency of merchandising for human-oriented sensibility product designs. Development of the DRS-WB included a user interface and collaborative filtering of textile and fashion designs to satisfy the user's needs. Collaborative filtering is used to recommend designs of interest for users based on predictive relationships discovered between the current user and other previous users. Current weather information is simultaneously acquired from the sensor based smart wear and the weather WebBot. The sensor based smart wear is fabricated as a way of non-tight and comfortable style fitting for the curves of the human body based on clothes to wear in daily life. The design sample of the smart wear uses basic stretch materials and is designed to sustain its wearable property. The weather WebBot uses a database of weather forecast information extracted from the Web pages and RSS (Really Simple Syndication) feed of the Korea Meteorological Administration and collects information from the various links off the main URL. Information is stored in a database using XML query for collecting effective weather data and processed as a form of XML through extracting and exchanging the information. These signals are then transmitted to the connected DRS-WB. This information can be easily monitored in real time. Textile designs and fashion designs were incorporated into the survey. Pictures of fashion design details such as collar type, sleeve type, skirt type, skirt length, and color tone were evaluated in terms of sensibility. Finally, this paper suggests empirical applications to verify the adequacy and validity of this system.