Collaborative Framework with User Personalization for Efficient web Search : A D3 Mining approach
Journal Title: Indian Journal of Computer Science and Engineering - Year 2011, Vol 2, Issue 2
Abstract
User personalization becomes more important task for web search engines. We develop a unified model to provide user personalization for efficient web search. We collect implicit feedback from the users by tracking their behavior on the web page based on their actions on the web page. We track actions like save, copy, bookmark, time spent and logging into data base, which will be used to build unified model. Our model is used as a collaborative framework using which related users can mine the information collaboratively with little amount of time. Based on the feed back from the users we categorize the users and search query. We build the unified model based on the categorized information, using which we provide personalized results to the user during web search. Our methodology minimizes the search time and provides more amount of relevant information.
Authors and Affiliations
V. Vijayadeepa , , Dr. D. K. Ghosh
A New Approach to Microcalcification Detection Using Fuzzy Soft Set Approach
This paper presents a new computer aided detection method for identifying malignant images in digital mammograms using fuzzy soft set theory approach. Fuzzy soft set theory is a mathematical model based on parameterizati...
A NOVEL METHOD FOR FINDING PRIVACY PRESERVING ASSOCIATION RULE MINING
Association rule mining is one of the significant research areas which explore the association between various item sets. The issue of privacy arises when several legitimate people share their data or knowledge for their...
DATA MINING CLASSIFICATION TECHNIQUES APPLIED FOR BREAST CANCER DIAGNOSIS AND PROGNOSIS
Breast Cancer Diagnosis and Prognosis are two medical applications pose a great challenge to the researchers. The use of machine learning and data mining techniques has revolutionized the whole process of breast cancer D...
Noise - Canceller based on Generalized-Mean Neural Networks
Noise cancellation in the field of Adaptive filtering has become the essential requirement of the signal processing .The standard multilayer perceptron (MLP) model of Neural Networks is now popular in Adaptive filtering...
Image Processing Techniques and Neural Networks for Automated Cancer Analysis from Breast Thermographs-A Review
Clinical Infrared Thermography is the best suited technique for early detection of breast cancer. Interpretation of breast thermographs helps in identifying the abnormality in the region. In recent years, computer Aided...