Term-weighting approaches in automatic text retrieval
Information Processing and Management: an International Journal
SIGIR '93 Proceedings of the 16th annual international ACM SIGIR conference on Research and development in information retrieval
Task complexity affects information seeking and use
Information Processing and Management: an International Journal
Query expansion using local and global document analysis
SIGIR '96 Proceedings of the 19th annual international ACM SIGIR conference on Research and development in information retrieval
Users' information needs at different stages of a research project: a cognitive view
ISIC '96 Proceedings of an international conference on Information seeking in context
A cognitive model of document use during a research project. Study I. document selection
Journal of the American Society for Information Science
Information Processing and Management: an International Journal
A language modeling approach to information retrieval
Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval
Journal of the American Society for Information Science
Real life, real users, and real needs: a study and analysis of user queries on the web
Information Processing and Management: an International Journal
Relevance and contributing information types of searched documents in task performance
SIGIR '00 Proceedings of the 23rd annual international ACM SIGIR conference on Research and development in information retrieval
IR evaluation methods for retrieving highly relevant documents
SIGIR '00 Proceedings of the 23rd annual international ACM SIGIR conference on Research and development in information retrieval
Automatic query expansion via lexical-semantic relationships
Journal of the American Society for Information Science and Technology
Modern Information Retrieval
Cumulated gain-based evaluation of IR techniques
ACM Transactions on Information Systems (TOIS)
Subject Knowledge, Source of Terms, and Term Selection in Query Expansion: An Analytical Study
Proceedings of the 24th BCS-IRSG European Colloquium on IR Research: Advances in Information Retrieval
Changes of search terms and tactics while writing a research proposal A longitudinal case study
Information Processing and Management: an International Journal
The Turn: Integration of Information Seeking and Retrieval in Context (The Information Retrieval Series)
Meeting of the MINDS: an information retrieval research agenda
ACM SIGIR Forum
Information Processing and Management: an International Journal
Introduction to Information Retrieval
Introduction to Information Retrieval
Predicting user interests from contextual information
Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval
Methods for Evaluating Interactive Information Retrieval Systems with Users
Foundations and Trends in Information Retrieval
Query reformulation using automatically generated query concepts from a document space
Information Processing and Management: an International Journal
An implicit feedback approach for interactive information retrieval
Information Processing and Management: an International Journal - Special issue: Formal methods for information retrieval
Learning filtering rulesets for ranking refinement in relevance feedback
Knowledge-Based Systems
Interactive Information Retrieval in Digital Environments
Interactive Information Retrieval in Digital Environments
Keyword clustering for user interest profiling refinement within paper recommender systems
Journal of Systems and Software
Dynamic refinement of search engines results utilizing the user intervention
Journal of Systems and Software
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Literature survey is one of the most important steps in the process of academic research, allowing researchers to explore and understand topics. However, novice researchers without sufficient prior knowledge lack the skills to determine proper keywords for searching topics of choice. To tackle this problem, we propose an entropy-based query expansion with a reweighting (E_QE) approach to revise queries during the iterative retrieval process. We designed a series of experiments that consider the researcher's changing information needs during task execution. Three topic change situations are considered in this work: minor, moderate and dramatic topic changes. The simulation-based pseudo-relevance feedback technique is applied during the search process to evaluate the effectiveness of the proposed approach without the intervention of human effort. We measured the effectiveness of the TFIDF and E_QE approaches for different types of topic change situations. The results show that the proposed E_QE approach achieves better search results than the TFIDF, helping researchers to revise queries. The results also confirm that the E_QE approach is effective when considering the relevant and irrelevant pages during the relevance feedback process at different levels of topic change.