Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Sarah Dahir"'
Autor:
Sarah Dahir, Abderrahim El Qadi
Publikováno v:
International Journal of Information Management Data Insights, Vol 1, Iss 2, Pp 100043- (2021)
Query Expansion (QE) is a method used for improving Information Retrieval (IR) by adding the terms that are almost selected from feedback documents, and similar to the user query terms. But, due to the very small average number of query keywords; it
Externí odkaz:
https://doaj.org/article/ab109ef4080c47b4af04b8f6d3ba3dac
Autor:
Sarah Dahir, Abderrahim El Qadi
The enormous size of the web and the vagueness of the terms used to formulate queries still pose a huge problem in achieving user satisfaction. To solve this problem, queries need to be disambiguated based on their context. One well-known technique f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d436fddd70cf8dd82de062dca924c2d6
https://zenodo.org/record/7455777
https://zenodo.org/record/7455777
Publikováno v:
Social Network Analysis and Mining. 10
In recent decades, researchers have realized that social networks are important sources for adhering to the evolution of many aspects of Information Retrieval (IR). These social networks have produced vast amounts of important information that are no
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f5bfe843b0b806c770c90d0f12d8326d
https://doi.org/10.1007/s13278-020-00635-w
https://doi.org/10.1007/s13278-020-00635-w
Publikováno v:
Expert Systems with Applications. 176:114909
Query Expansion (QE) approaches that involve the reformulation of queries by adding new terms to the initial user query, are intended to ameliorate the vocabulary mismatch between the query keywords and the documents’ in Information Retrieval Syste
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ef2ec652ffbd29a93450890319368e69
https://doi.org/10.1016/j.eswa.2021.114909
https://doi.org/10.1016/j.eswa.2021.114909
Publikováno v:
ArabWIC
This paper presents a semantic approach based on DBpedia and WordNet to extract the candidate terms for query expansion. We divided DBpedia features into: general features and specific features that are available depending on the domain of the resour
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7455b09f9ac11c571841e31217221df5
https://doi.org/10.1145/3333165.3333184
https://doi.org/10.1145/3333165.3333184
Publikováno v:
Proceedings of the Third International Conference on Computing and Wireless Communication Systems, ICCWCS 2019, April 24-25, 2019, Faculty of Sciences, Ibn Tofaïl University -Kénitra- Morocco.
One of the well known techniques that are used to increase the relevancy of user queries is query reformulation through the expansion of queries. Also, Linked data are being used in various fields and available for different domains. This paper aimed
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::09b8c7a22f9c1341cbb035be4e746745
https://doi.org/10.4108/eai.24-4-2019.2284070
https://doi.org/10.4108/eai.24-4-2019.2284070
Publikováno v:
International Journal of Online and Biomedical Engineering, Vol 17, Iss 06, Pp 110-121 (2021)
Information Retrieval (IR) in the medical domain is considered as a challenging task for many reasons. Short health queries tend to lack information on user's intent, and the target corpus may not have sufficient information for Relevance Feedbacks.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::14ef388b7ab4558702629ed48daed092
https://doi.org/10.3991/ijoe.v17i06.22755
https://doi.org/10.3991/ijoe.v17i06.22755
Publikováno v:
ISIVC
This work aimed at improving the results of Information Retrieval Systems using DBpedia. Our suggested association based approach consisted on expanding queries with Feedback documents’ indexed terms that were semantically related to query terms us
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2a986fcc48d14c98545f7932fa10493d
https://doi.org/10.1109/isivc.2018.8709216
https://doi.org/10.1109/isivc.2018.8709216