Document Retrieval is the computerized process of producing a relevance ranked list of documents in response to an inquirer’s request. Everyone uses such systems today in the form of web-based search engines. A document retrieval system is comprised of four core modules: document processor, query analyzer, document access and matching function. In this work user access is provide by using the chaotic function with the help of image password access. Here proposed work make initial clustering of the dataset, maintain by individual data owner. So clustering is obtained by K-Mean algorithm. Experiment will be done on real dataset and compared with other existence work.
- Clustering Based Learning Approach for Ant Colony Optimization Modelto Simulate Web User Behavior
- Surfing the Network for Ranking by Multidamping