A Survey on Optimization of User Search Goals by Using Feedback Session |
Author(s): |
| Mr.Kedari Mahesh M. , Rajendra Mane College Of Engineering and Technology,Ambav(Devrukh); Mr.Kedari Mahesh M., Rajendra Mane College Of Engineering and Technology,Ambav(Devrukh); Ms.Kazi Seefa S., Rajendra Mane College Of Engineering and Technology,Ambav(Devrukh); Ms.Mohire Samiksha, Rajendra Mane College Of Engineering and Technology,Ambav(Devrukh); Prof.Sawant G.N., Rajendra Mane College Of Engineering and Technology,Ambav(Devrukh) |
Keywords: |
| Data Mining Search Goals, Feedback Sessions, Pseudo-Documents, Classified Average Precision |
Abstract |
|
Data Mining refers to acquiring knowledge from large amounts of data. In the recent years the lots of surfing is done through web searching. When the information is retrieved the users clicks on particular URL, based n that click rate, ranking will be done automatically. This search engine significantly reduces the computation time required for partition of the dataset. It will also reduce the original dataset into simplified dataset. It also simplifies the data set and finds the relevant document based on users feedback. It also helps in reducing the iteration and improves the performance. Analyzing user search goal is needed to provide best result for which the user looks in the internet. Feedback sessions have been clustered to discover different user search goals for query. Pseudo-document is generated through feedback sessions for clustering. With this, the original search results are restructured. The performance of restructured search results is evaluated by classified average precision (CAP). This evaluation is used as feedback for selecting the optimal user search goals. |
Other Details |
|
Paper ID: IJSRDV3I90190 Published in: Volume : 3, Issue : 9 Publication Date: 01/12/2015 Page(s): 283-286 |
Article Preview |
|
|
|
|
