Results 1 to 10 of about 1,705,573 (348)

Study of query expansion techniques and their application in the biomedical information retrieval. [PDF]

open access: goldScientificWorldJournal, 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 ...
Rivas AR, Iglesias EL, Borrajo L.
europepmc   +4 more sources

Rethinking Query Expansion for BERT Reranking [PDF]

open access: yesAdvances in Information Retrieval42nd European Conference on IR Research, 2020
Recent studies have shown promising results of using BERT for Information Retrieval with its advantages in understanding the text content of documents and queries.
Padaki R, Dai Z, Callan J.
europepmc   +2 more sources

A fuzzy ontology framework in information retrieval using semantic query expansion

open access: yesInternational 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   +2 more sources

A hybrid semantic query expansion approach for Arabic information retrieval

open access: yesJournal 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   +2 more
doaj   +2 more sources

Toward personalized query expansion [PDF]

open access: greenProceedings 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 ...
Marin Bertier   +3 more
openalex   +6 more sources

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

open access: yesPeerJ Comput Sci
The internet has been inundated with an ocean of information, and hence, information retrieval systems are failing to provide optimal results to the user.
Allahim A, Cherif A, Imine A.
europepmc   +3 more sources

Translating queries into snippets for improved query expansion [PDF]

open access: bronzeProceedings of the 22nd International Conference on Computational Linguistics - COLING '08, 2008
User logs of search engines have recently been applied successfully to improve various aspects of web search quality. In this paper, we will apply pairs of user queries and snippets of clicked results to train a machine translation model to bridge the "lexical gap" between query and document space.
Stefan Riezler   +2 more
openalex   +4 more sources

Conqueries: An Agent That Supports Query Expansion [PDF]

open access: bronze, 2005
This article presents Conqueries, an agent that assists users during their searches on search engines. The system recommends terms and modifiers to users so that they can reformulate their queries. The system unobtrusively learns the user's current needs in order to propose personalized lists of keywords.
Jean-Yves Delort
openalex   +4 more sources

A Taxonomy and Survey of Semantic Approaches for Query Expansion

open access: yesIEEE Access, 2019
Conventional approaches to query expansion (QE) rely on the integration of an unstructured corpus and probabilistic rules for the extraction of candidate expansion terms.
Muhammad Ahsan Raza   +4 more
doaj   +2 more sources

Query Expansion with Locally-Trained Word Embeddings [PDF]

open access: greenAnnual Meeting of the Association for Computational Linguistics, 2016
Continuous space word embeddings have received a great deal of attention in the natural language processing and machine learning communities for their ability to model term similarity and other relationships.
Fernando Díaz   +2 more
openalex   +3 more sources

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