Email this article 
Open Access
Subscription or Fee Access
Methodology for Inferring and Analysis of User Search Goals
Abstract
In varied internet search applications, completely different queries area unit submitted to the search engines to point the info that user wants. Usually queries might not accurately represent users specific data wishes. As a result of several ambiguous queries submitted by users, computer Programme cannot provide relevant result. The present session-level bunch technique doesn't analyze and known the task, that is incredibly helpful in many search applications. Therefore, it's necessary to develop a way that provide improved search result and suggestion for user question. During this paper, bunch feedback sessions specifically pseudo-documents is introduced with planned “task trail” for inferring user search goals. A task diagrammatic as atomic user data would like and task path denoted all user activities within that specific task, like question reformulation, URL clicks. These searching’s verify the essential to extract tasks from internet search logs and enhance applications in search.
Keywords
References
Zheng Lu, Hongyuan Zha, Xiaokang Yang, Weiyao Lin, and Zhaohui Zheng, A New Algorithm for Inferring User Search Goals with Feedback Sessions, IEEE Trans. on Knowledge and Data Engineering, vol. 25, no. 3 March 2013.
Zhen Liao, Yang Song, Yalou Huang, Li-wei He, and Qi He, Task Trail: An Effective Segmentation of User Search Behavior, IEEE Trans. on Knowledge and Data Engineering, vol. 26, no. 12, December 2014.
S. Beitzel, E. Jensen, A. Chowdhury, and O. Frieder, Varying Approaches to Topical Web Query Classification, Proc. 30th Ann. Intl ACM SIGIR Conf. Research and Development (SIGIR 07), pp. 783-784, 2007.
H. Cao, D. Jiang, J. Pei, Q. He, Z. Liao, E. Chen, and H. Li, Context-Aware Query Suggestion Conf. Knowledge Discovery and Data Mining (SIGKDD 08), pp. 875-883, 2008.
T. Joachims, L. Granka, B. Pang, H. Hembrooke, and G. Gay, Accurately Interpreting Clickthrough Data as Implicit Feedback, Proc. 28th Ann. Intl ACM SIGIR Conf. Research and Development in Information Retrieval (SIGIR 05), pp. 154-161, 2005.
R. Jones and K.L. Klinkner, Beyond the Session Timeout: Automatic Hierarchical Segmentation of Search Topics in Query Logs, Proc. 17th ACM Conf. Information and Knowledge Management (CIKM 08), pp. 699-708, 2008.
Ramesh Kagalkar and Dr. Nagaraja H.N, “New Methodology for Translation of Static Sign Symbol to Words in Kannada Language”,” International Journal of Computer Applications(IJCA), Volume 121, No.20,PageNo. 25-30, July-2015.
Ramesh M. Kagalkar, Dr. Nagaraja H.N and Dr. S.V Gumaste,”A Novel Technical Approach for Implementing Static Hand Gesture Recognition”, International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), Volume 4, Issue 7, July 2015.
Ramesh M. Kagalkar and Dr. S.V Gumaste, “Automatic Graph Based Clustering for Image Searching and Retrieval from Database”, CiiT International Journal of Software Engineering and Technology, Volume 8, No 2, 2016.
Ramesh M. Kagalkar and Dr. S.V Gumaste, “Review Paper: Detail Study for Sign Language Recognition Techniques”, CiiT International Journal of Digital Image Processing, Volume 8, No 3, 2016.
Rashmi B. Hiremath and Ramesh Kagalkar, “A Methodology for Sign Language Video Analysis and Translation into Text in Hindi Language”,CiiT International Journal of Fuzzy System, Volume 8, No 5, 2016.
Rashmi B. Hiremath and Ramesh Kagalkar, “Methodology for Sign Language Video Interpretation in Hindi Text Language”, International Journal of Innovative Research in Computer and Communication Engineering (IJIRCCE), Volume. 4, Issue 5, May 2016.
Amitkumar and Ramesh Kagalkar, “Sign Language Recognition for Deaf User”, Internal Journal for Research in Applied Science and Engineering Technology (IJRASET), Volume 2, Issue 12, December 2014.
Amit kumar and Ramesh Kagalkar, “Advanced Marathi Sign Language Recognition using Computer Vision”, International Journal of Computer Applications (IJCA), Volume 118, No. 13, May 2015.
Amit kumar and Ramesh Kagalkar, “Methodology for Translation of Sign Language into Textual Version in Marathi”, CiiT, International Journal of Digital Image Processing, Volume 07, No.08, Aug 2015.
Mrunmayee and Ramesh Kagalkar, “A Review On Conversion of Image To Text as Well as Speech using Edge Detection and Image Segmentation”, International Journal of Science and Research (IJSR), Volume 3 Issue 11, November 2014.
Mrunmayee Patil and Ramesh Kagalkar, “An Automatic Approach for Translating Simple Images into Text Descriptions and Speech for Visually Impaired People”, International Journal of Computer Applications (IJCA), Volume 118, No. 3, May 2015.
Kaveri Kamble and Ramesh Kagalkar, “A Review: Translation of Text to Speech Conversion for Hindi Language”, International Journal of Science and Research (IJSR), Volume 3, Issue 11, November 2014.
Kaveri Kamble and Ramesh Kagalkar, “Audio Visual Speech Synthesis and Speech Recognition for Hindi Language” ,International Journal of Computer Science and Information Technologies (IJCSIT), CiiT International Journal of Data Mining Knowledge Engineering, Volume 6, Issue 2, April 2015.
Kaveri Kamble and Ramesh Kagalkar “A Novel Approach for Hindi Text Description to Speech and Expressive Speech Synthesis” International Journal of Applied Information Systems (IJAIS), Volume 8, No.7, May 2015.
Shivaji Chaudhari and Ramesh Kagalkar “A Review of Automatic Speaker Recognition and Identifying Speaker Emotion Using Voice Signal”, International Journal of Science and Research (IJSR), Volume 3, Issue 11, November 2014.
Shivaji Chaudhari and Ramesh Kagalkar, “Automatic Speaker Age Estimation and Gender Dependent Emotion Recognition”, International Journal of Computer Applications (IJCA), Volume 117, No. 17, May 2015.
Shivaji J. Chaudhari and Ramesh M Kagalkar, “A Methodology for Efficient Gender Dependent Speaker Age and Emotion Identification System”, International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), Volume 4, Issue 7, July 2015.
Ajay R. Kadam and Ramesh Kagalkar, “Audio Scenarios Detection Technique”, International Journal of Computer Applications (IJCA), Volume 120, No. 16, June 2015.
Ajay R. Kadam and Ramesh Kagalkar, “Predictive Sound Recognition System”, International Journal of Advance Research in Computer Science and Management Studies (IJARCSMS), Volume 2, Issue 11.
Swati Sargule and Ramesh M Kagalkar, “Hindi Language Document Summarization using Context Based Indexing Model”, CiiT International Journal of Data Mining Knowledge Engineering, Volume 08, No. 01, Jan 2016.
Swati Sargule and Ramesh M Kagalkar, “Methodology of Context Centered Term Indexing Style Intended For Hindi Language Document Summarization”, CiiT International Journal of Software Engineering, Volume 8, No 5, 2016.
Rachana Palaskar, Shweta Pandey, Ashwini Telang, Akshada Wagh and Ramesh Kagalkar,“ An Automatic Monitoring and Swing the Baby Cradle for Infant Care”, International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), Volume 4, Issue 12, December 2015.
Ramesh M Kagalkar, Kajal Chavan, Asmita Jadhav, Ravina Patil and Asmita Rawool,”Self-Educating Tool Kit for Kids” CiiT Software Engineering and Technology, Volume 8, No 1, 2016.
Refbacks
- There are currently no refbacks.
This work is licensed under a Creative Commons Attribution 3.0 License.