Zobrazeno 1 - 10
of 7 487
pro vyhledávání: '"Web search query"'
Autor:
Akira Kodaka, Akihiko Nishino, Takashi Kanno, Kaya Onda, Kota Tsubouchi, Shingo Suzuki, Shuji Yamaguchi, Naohiko Kohtake
Publikováno v:
Progress in Disaster Science, Vol 24, Iss , Pp 100386- (2024)
The Noto Peninsula Earthquake that occurred on January 1, 2024, caused significant damage to the Noto Peninsula and surrounding areas. This study aims to contribute to evidence-based disaster response by identifying the information needs of the affec
Externí odkaz:
https://doaj.org/article/6ef3565b14af4afd9fb271c65bfdd946
Autor:
Vanessa Enríquez Raído, Yuxing Cai
Publikováno v:
Ampersand, Vol 11, Iss , Pp 100137- (2023)
This article delves into the evolution of web search query behavior among translation trainees over a semester, using a repeated measures design. While prior research in Translation Studies has predominantly focused on information-seeking patterns an
Externí odkaz:
https://doaj.org/article/90c58c22c88348f8bf362360651e2e9a
Using Baidu index to investigate the spatiotemporal characteristics of knowledge management in China
Publikováno v:
Науковий вісник Мукачівського державного університету. Серія Економіка, Vol 9, Iss 3, Pp 48-55 (2022)
In the era of knowledge economy, knowledge has become the guide to creating economic and social value. Knowledge economy calls for knowledge management, and modern knowledge management is a new management theory and management method emerging in the
Externí odkaz:
https://doaj.org/article/2f9808d40dd34024851ba324a6d63c4c
Akademický článek
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Akademický článek
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Publikováno v:
IEEE Transactions on Knowledge and Data Engineering. 34:5681-5692
Competition between Points of Interest (POIs) refers to the situation in which two POIs directly or indirectly provide similar services to secure businesses. A large portion of prior studies on competition analysis focuses on mining textual data, e.g
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::76e3ff6bf1ca44e841c95b4477bfd5de
https://doi.org/10.1109/tkde.2021.3063233
https://doi.org/10.1109/tkde.2021.3063233
Autor:
Rawan Ghnemat, Adnan Shaout
Publikováno v:
International Journal of Enterprise Information Systems. 12:1-16
Search engines are crucial for information gathering systems (IGS). New challenges face search engines concerning automatic learning from user requests. In this paper, a new hybrid intelligent system is proposed to enhance the search process. Based o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::03e689ee2820252487d674a8c1d1e6da
https://doi.org/10.4018/ijeis.2016070105
https://doi.org/10.4018/ijeis.2016070105
Autor:
Kota Tsubouchi, Xuan Song, Renhe Jiang, Quanjun Chen, Zipei Fan, Ryosuke Shibasaki, Zekun Cai
Publikováno v:
Neurocomputing. 472:338-348
Every day, people are using search engines for different purposes such as research, shopping, or entertainment. Among the behaviors of search engine users, we are particularly interested in search-and-go behavior, which intuitively corresponds to a s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3413e92c7c651e7527ac6e4704ca059f
https://doi.org/10.1016/j.neucom.2020.10.001
https://doi.org/10.1016/j.neucom.2020.10.001
Autor:
Dheeraj Malhotra, O. P. Rishi
Publikováno v:
Journal of King Saud University: Computer and Information Sciences, Vol 34, Iss 2, Pp 248-263 (2022)
The proposed research work aims to discuss and explore various constraints of traditional web page search and ranking systems primarily in the present generation of big data. The primary objective is to facilitate a web user by presenting a most pers
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4eef9fdc08c7476fd7dc6d5bdd03459c
https://doi.org/10.1016/j.jksuci.2018.11.013
https://doi.org/10.1016/j.jksuci.2018.11.013
Autor:
Mayank Nagpal, J. Andrew Petersen
Publikováno v:
Journal of Retailing. 97:746-763
We build an empirical framework using search queries and organic click data which provides model-based guidance to SEO practitioners for keyword selection and web content creation. Specifically, we study how search characteristics (search query popul
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::262d83945b802e1a9536d385afdb4a61
https://doi.org/10.1016/j.jretai.2020.12.002
https://doi.org/10.1016/j.jretai.2020.12.002