DocumentCode :
702720
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
fYear :
2015
fDate :
8-10 Jan. 2015
Firstpage :
1
Lastpage :
5
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;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Pervasive Computing (ICPC), 2015 International Conference on
Conference_Location :
Pune
Type :
conf
DOI :
10.1109/PERVASIVE.2015.7087086
Filename :
7087086
Link To Document :
بازگشت