Results 1 to 10 of about 197,254 (182)

Study of Query Expansion Techniques and Their Application in the Biomedical Information Retrieval [PDF]

The Scientific World Journal, 2014
Information Retrieval focuses on finding documents whose content matches with a user query from a large document collection. As formulating well-designed queries is difficult for most users, it is necessary to use query expansion to retrieve relevant ...
A. R. Rivas, E. L. Iglesias, L. Borrajo
doaj   +2 more sources

Semantic approaches for query expansion: taxonomy, challenges, and future research directions [PDF]

PeerJ Computer Science
The internet has been inundated with an ocean of information, and hence, information retrieval systems are failing to provide optimal results to the user.
Azzah Allahim, Asma Cherif, Abdessamad Imine   +2 more
doaj   +3 more sources

Improved Arabic query expansion using word embedding [PDF]

Scientific Reports
Word embedding enhances pseudo-relevance feedback query expansion (PRFQE), but training word embedding models takes a long time and is applied to large datasets.
Yaser A. Al-Lahham, Sattam Almatarneh, Kaznah Alshammari, Mutasem Al-Smadi   +3 more
doaj   +2 more sources

A fuzzy ontology framework in information retrieval using semantic query expansion

International Journal of Information Management Data Insights, 2021
World Wide Web (WWW) constitutes fuzzy information and requires soft computing techniques to deal context of the query. It works on the principle of keyword matching yielding low precision and recall.
Shivani Jain, K.R. Seeja, Rajni Jindal
doaj   +1 more source

Query expansion using the clustering of pseudo relevant documents with query sensitive similarity [PDF]

مجله مدل سازی در مهندسی, 2017
Query expansion as one of query adaptation approaches, improves retrieval effectiveness of information retrieval. Pseudo-relevance feedback (PRF) is a query expansion approach that supposes top-ranked documents are relevant to the query concept, and ...
Reza Khodaei, Mohammadali Balafar, seyed Naser Razavi   +2 more
doaj   +1 more source

Query Refinement into Information Retrieval Systems: An Overview

Journal of Information and Organizational Sciences, 2023
Query, expressing the user need and requirement, has an important role, in an information retrieval system, for reaching a high accuracy search. In this paper, we present an overview of the different refinement operations that the query may undergo, in ...
Mawloud Mosbah
doaj   +1 more source

Toward personalized query expansion [PDF]

Proceedings of the Second ACM EuroSys Workshop on Social Network Systems, 2009
Social networking and tagging have taken off at an unexpected scale and speed, opening huge opportunities to enhance the user search experience. We present Gossple, a new, user-centric, approach to improve the exploration of the Internet. Underlying \textsc{Gossple} lies the intuition that while social networks provides news from your old buddies, you ...
Bertier, Marin, Guerraoui, Rachid, Kermarrec, Anne-Marie, Leroy, Vincent   +3 more
openaire   +3 more sources

Combining fields for query expansion and adaptive query expansion [PDF]

Information Processing & Management, 2007
In this paper, we aim to improve query expansion for ad-hoc retrieval, by proposing a more fine-grained term reweighting process. This fine-grained process uses statistics from the representation of documents in various fields, such as their titles, the anchor text of their incoming links, and their body content.
Ben He, Iadh Ounis
openaire   +1 more source

A Semantic Query Expansion Method for Question Answering Based on Knowledge Graph [PDF]

Jisuanji gongcheng, 2019
In Question Answering(QA) system,the query intent that is expressed only by the words in the question may not be able to get the ideal answer from the data source.To this end,a semantic query expansion method is proposed for QA system based on knowledge ...
MENG Mingming, ZHANG Kun, LUN Bing, ZHANG Xiaoming
doaj   +1 more source

A hybrid semantic query expansion approach for Arabic information retrieval

Journal of Big Data, 2020
In fact, most of information retrieval systems retrieve documents based on keywords matching, which are certainly fail at retrieving documents that have similar meaning with syntactical different keywords (form).
Hiba ALMarwi, Mossa Ghurab, Ibrahim Al-Baltah   +2 more
doaj   +1 more source