Title :
A survey on inferring user search goals using feedback session
Author :
Bhambure, Harshada ; Mokashi, Mandar
Author_Institution :
Dept. of Comput. Eng., Savitribai Phule Pune Univ., Pisoli, India
Abstract :
The goal of the user at the time of searching the data is unknown to the system. The important aspect of searching process is to first recognize the user goal. On the basis of the recognized goal results are shown to the user. The goal identification requirement can be fulfilled by using pseudo document and feedback session. Click through logs are used to create feedback session. Pseudo document is the revised version of feedback session for clustering the websites. This paper reviews many web mining techniques for inferring the user goals. Query suggestion techniques are examined in this. It also studies the comparison of list and category methods of search result which helps to select the best method.
Keywords :
Web sites; data mining; pattern clustering; query processing; Web mining technique; Websites; data mining; feedback session; pseudo document; query suggestion technique; user search goal; Bipartite graph; Clustering algorithms; Computers; Context; Search engines; Web mining; AP (Average Precision); CAP (Classified Average Precision); Query Suggestion; data mining; feedback session; goal; log;
Conference_Titel :
Pervasive Computing (ICPC), 2015 International Conference on
Conference_Location :
Pune
DOI :
10.1109/PERVASIVE.2015.7087086