Relevant Web Searching using Optimized User Profiling
| Author(s) | : | Ninad Vhawal, Swapnil Gunjal, Akash Allapurkar |
| Institution | : | Computer Engineering, ZCOER |
| Published In | : | Vol. 3, Issue 3 — March 2016 |
| Page No. | : | 717-719 |
| Domain | : | Engineering |
| Type | : | Research Paper |
| ISSN (Online) | : | 2348-4470 |
| ISSN (Print) | : | 2348-6406 |
General search engines are integral for retrieving information from web. However the typical searchengines provide results according to the demands of the masses instead of individual interests. Optimized web search canbe used for tuning the traditional IR system for specific information retrieval. This is an attempt to improve personalizedweb search. User profiling is mapping out those users who have searched a specific content of information and thatinformation is retrieved for further searching inputs of that user. We aim to propose a system for constructing anEnhanced User Profile by aggregating users browsing history and enhancing it using domain knowledge. This EnhancedUser Profile can be used for increasing the accuracy of personalized web search making it more specific. We have usedthe Enhanced User Profile for suggesting related, relevant web pages to the user. This system is expected to show thatthe suggested web pages provided to the user using Enhanced User Profile are much more specific than those obtainedby using a general User Profile.
Ninad Vhawal, Swapnil Gunjal, Akash Allapurkar, “Relevant Web Searching using Optimized User Profiling”, International Journal of Advance Engineering and Research Development (IJAERD), Vol. 3, Issue 3, pp. 717-719, March 2016.
