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A Survey on Feedback Session for Inferring User Search Query with CAP

2016 International Journal of Science and Research (IJSR)  
infer and analysis user specific interest about query.  ...  to infer user search goals by analyzing search engine queries. we propose 2 different framework .first we propose framework to find out different user search information for user query by using clustering  ...  User Search task for query Though users query search engines in order to achieve tasks at a diversity of granularities, issue numerous query as they effort to accomplish tasks .R Jones and K.L linker  ... 
doi:10.21275/v5i1.nov152863 fatcat:bsipuv6kdrbjdjn5sikblsv5ki

SEM12 at the NTCIR-10 INTENT-2 English Subtopic Mining Subtask

Md Zia Ullah, Masaki Aono, Md. Hanif Seddiqui
2013 NTCIR Conference on Evaluation of Information Access Technologies  
In this paper, we describe our approach to identifying, and then ranking user's intents for a query (or topic) from query logs, which is an english subtopic mining subtask of the NTCIR-10 Intent-2 task  ...  Users express their information needs in terms of queries in search engines to find some relevant documents on the Internet.  ...  This research was partially supported by the Ministry of Education, Culture, Sports, Science and Technology (MEXT), Grant-in-Aid(C) 23500119.  ... 
dblp:conf/ntcir/UllahAS13 fatcat:z5jt4kr3fncbbi6a6qvy45cyb4

A Novel Approach To Improve Users Search Goal In Web Usage Mining

R. Lokeshkumar, P. Sengottuvelan
2015 Zenodo  
needed for users.  ...  The inference and analysis of user search goals can be very useful for providing an experience result for a user search query.  ...  A session for web search is a series of successive queries to satisfy a single information need and some clicked search results.  ... 
doi:10.5281/zenodo.1108818 fatcat:rgeo73wctnfofho67txt4ilvdm

Issues and Challenges of User Intent Discovery (UID) during Web Search

Wael K. Hanna, Aziza S. Aseem, M. B. Senousy
2015 International Journal of Information Technology and Computer Science  
There is a need to a small set of words -known as a query-to searching for information. Despite the existence gap between a user's information need and the way in which such need is represented.  ...  Information retrieval system should be able to analyze a given query and present the appropriate web resources that best meet the user's needs.  ...  [5] As future work, exploiting the collective tasks mined from the query log to build a model for representing the task-by-task search behavior of users. It used in query suggestion.  ... 
doi:10.5815/ijitcs.2015.07.08 fatcat:zhbrnkbkzngtbn5lz442n4j46e

A Novel Approach To Infer User Search Goals For Optimize Result

Dhanashri Ingale*, Dr. M. M. Kshirsagar
2016 Zenodo  
Feedback sessions are made from user click-through logs and can more accurately predict the information requirements of users.  ...  In this paper, a framework is projected to examine user search areas for a query by clustering the feedback sessions.  ...  In general, to satisfy user information need there is a sequence of consecutive queries in a session. Here to infer user search goals for a query, single session is considered.  ... 
doi:10.5281/zenodo.49797 fatcat:evpmgh2rmfeflppn7khobrgjou

Identifying and labeling search tasks via query-based hawkes processes

Liangda Li, Hongbo Deng, Anlei Dong, Yi Chang, Hongyuan Zha
2014 Proceedings of the 20th ACM SIGKDD international conference on Knowledge discovery and data mining - KDD '14  
We consider a search task as a set of queries that serves the same user information need.  ...  co-occurrence across different users to discover the latent information needed for labeling search tasks.  ...  We evaluate our method on synthetic data, and also apply it to mine search tasks in both AOL and Yahoo query log data.  ... 
doi:10.1145/2623330.2623679 dblp:conf/kdd/LiDDCZ14 fatcat:4zgsh23e5rdhzpd2ibohc7k7my

Task Trail Based Enhanced User Experience in Customer Facing Website using Automatic Facet Construction Techniques

2019 VOLUME-8 ISSUE-10, AUGUST 2019, REGULAR ISSUE  
Finally we proposed a novel method of improving end user search experience by combining the task trail based user behavior and Automatic facet searching.  ...  The primary goal of the www is provide the most relevant, valid and right information for the end user to who is looking for the information.  ...  If we analysis the user search query and goal. We can modify the search result to fulfill the user need.  ... 
doi:10.35940/ijitee.i3172.0789s319 fatcat:uxrzx565srat5i6ep765wbmzyq

A Prototype Decision Support System for Optimizing the Effectiveness of Elearning in Educational Institutions

S Abu Naser, A Al Masri, Y Abu Sultan, I Zaqout
2011 International Journal of Data Mining & Knowledge Management Process  
If this evaluation is done manually, it would not be an easy task to do and would not provide knowledge about all pitfall symptoms.  ...  The proposed DSS involves Database engine, Data Mining engine and Artificial Intelligence engine.  ...  User Query Handler Module through its GUI enables the User to enter the required query.  ... 
doi:10.5121/ijdkp.2011.1401 fatcat:spoo2gdb4jettcggkqicplz3ua

Performance improvement of web server through log files cleaning

2016 International Journal of Latest Trends in Engineering and Technology  
For example, search queries can be extracted from server logs to discover user information needs for usability task analysis.  ...  Organizations can mine server-side logs to predict users' behavior and context to satisfy users' need.  ... 
doi:10.21172/1.73.530 fatcat:f5v56cqe6vfldpmxtgonz3mrju

Online behavioral genome sequencing from usage logs

Yang Song, Weiwei Cui, Shixia Liu, Kuansan Wang
2014 Proceedings of the 23rd International Conference on World Wide Web - WWW '14 Companion  
The main functions of the web service are: (1) calculating query similarities based on their lexical, temporal and semantic scores, (2) clustering a group of user queries into tasks with the same search  ...  and browse intent, and (3) inferring user topical interests by providing a probability distribution over a search taxonomy.  ...  We presented a demo to help analyzing and understanding user search and browse behavior by mining user search logs from search engines.  ... 
doi:10.1145/2567948.2577015 dblp:conf/www/SongCLW14 fatcat:pnyqrkkj2fa5tgqqcaosoevptu

Social media intention mining for sustainable information systems: categories, taxonomy, datasets and challenges

Ayesha Rashid, Muhammad Shoaib Farooq, Adnan Abid, Tariq Umer, Ali Kashif Bashir, Yousaf Bin Zikria
2021 Complex & Intelligent Systems  
AbstractIntention mining is a promising research area of data mining that aims to determine end-users' intentions from their past activities stored in the logs, which note users' interaction with the system  ...  Search engines are a major source to infer users' past searching activities to predict their intention, facilitating the vendors and manufacturers to present their products to the user in a promising manner  ...  Query log was used to retrieve the web results most related to user personalized needs.  ... 
doi:10.1007/s40747-021-00342-9 fatcat:ak3y4ao2sbffjd5b3rbttidvjy

A Survey on Mining Aspects for Queries

Haritha Padmanabhan, Derroll David
2017 IJARCCE  
This potentially provides richer information than traditional query suggestions and might help users find a better query more easily. 164 that, the user can easily find out the direction in which he should  ...  Then a large number of lists do exist and useful query angles can be mined. 161 transitional query suggestions and it can utilize query facets to generate structured query suggestions, that is, multiple  ...  Jeffrey Pound, Stelios Paparizos, and Panayiotis Tsaparas proposed a query-log mining approach [10] for facet discovery for structured web search.  ... 
doi:10.17148/ijarcce.2017.6529 fatcat:igypfbiyyfd4hlupxykfadq6xa

Implicit Measures of User Interests through Country and Predicting Users' Future Requests in WWW

Pragya Rajput, Joy Bhattacharjee, Roopali Soni
2013 International Journal of Computer Applications  
In this paper we proposed a framework of web log mining to implicit measures of user interests through Country and predicting users" future requests in WWW.  ...  WWW has become the center of attraction for business transactions and hence e-commerce due to its ease of use and speed. its ability from tracking the browsing behaviour of any user to even the mouse clicks  ...  The fields of interest are IP address, user id, access time and the URL .After the log entries are cleaned; the log data is converted into a form suitable for a specific Web mining task.  ... 
doi:10.5120/12346-8632 fatcat:g6kujlc6azevbi6ibgsqf3a5xy

A Semantic Perspective on Query Log Analysis

Katja Hofmann, Maarten de Rijke, Bouke Huurnink, Edgar Meij
2009 Conference and Labs of the Evaluation Forum  
We present our views on the CLEF log file analysis task. We argue for a task definition that focuses on the semantic enrichment of query logs.  ...  In addition, we discuss how additional information about the context in which queries are being made could further our understanding of users' information seeking and how to better facilitate this process  ...  Besides learning about search engines or their users, query logs are also being used to infer semantic concepts [10] or relations [1] . Naturally, query log analysis comes with limitations.  ... 
dblp:conf/clef/HofmannRHM09 fatcat:cvxeudu3irgcnlkiq4pzlmutgu

Recommending High Utility Queries via Query-Reformulation Graph

JianGuo Wang, Joshua Zhexue Huang, Dingming Wu
2015 Mathematical Problems in Engineering  
At last, we propagate the document utilities back to queries and rank candidate queries with their utilities for recommendation.  ...  Extensive experiments were conducted on real query logs, and the experimental results have shown that our method significantly outperformed the state-of-the-art methods in recommending high utility queries  ...  Reference [19] employed a query utility mining (QUM) model to mine query utility from users' search behaviors.  ... 
doi:10.1155/2015/956468 fatcat:fdgexokl5fgotd3f3334ecsv4e
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