scholarly journals Efficient search engine measurements

Author(s):  
Ziv Bar-Yossef ◽  
Maxim Gurevich
2003 ◽  
Vol 24 (2) ◽  
pp. 213-224 ◽  
Author(s):  
Eric Jui-Lin Lu ◽  
Yu-Ming Jung

2003 ◽  
Vol 36 (3) ◽  
pp. 955-955
Author(s):  
Oleg V. Dolomanov ◽  
Alexander J. Blake ◽  
Neil R. Champness ◽  
Martin Schröder

2016 ◽  
Vol 49 (3) ◽  
pp. 1093-1098
Author(s):  
R. Santhosh ◽  
S. N. Satheesh ◽  
M. Gurusaran ◽  
Daliah Michael ◽  
K. Sekar ◽  
...  

The intense exploration of nucleotide-binding protein structures has created a whirlwind in the field of structural biology and bioinformatics. This has led to the conception and birth of NIMS. This database is a collection of detailed data on the nucleobases, nucleosides and nucleotides, along with their analogues as well as the protein structures to which they bind. Interaction details such as the interacting residues and all associated values have been made available. As a pioneering step, the diffraction precision index for protein structures, the atomic uncertainty for each atom, and the computed errors on the interatomic distances and angles are available in the database. Apart from the above, provision has been made to visualize the three-dimensional structures of both ligands and protein–ligand structures and their interactions inJmolas well asJSmol. One of the salient features of NIMS is that it has been interfaced with a user-friendly and query-based efficient search engine. It was conceived and developed with the aim of serving a significant section of researchers working in the area of protein and nucleobase complexes. NIMS is freely available online at http://iris.physics.iisc.ernet.in/nims and it is hoped that it will prove to be an invaluable asset.


2017 ◽  
Vol 4 ◽  
pp. 128-130
Author(s):  
Oleh Bihun ◽  
Marek Miłosz

The article presents the results of a comparative analysis Google’s and Yandex’s search algorithms. The analysis was made from the point of view of search speed and number of results. Google and Yandex were compared for search in Russian and English language, using the method of weighted criteria. Multi-criteria analysis allowed to find faster and efficient search engine.


2011 ◽  
Vol 5 (4) ◽  
pp. 1-48 ◽  
Author(s):  
Ziv Bar-Yossef ◽  
Maxim Gurevich

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Mahdi Zeynali Tazehkandi ◽  
Mohsen Nowkarizi

PurposeThe purpose was to evaluate the effectiveness of Google (as an international search engine) as well as of Parsijoo, Rismoon, and Yooz (as Persian search engines).Design/methodology/approachIn this research, Google search engine as an international search engine, and three local ones, Parsijoo, Rismoon, and Yooz, were selected for evaluation. Likewise, 32 subject headings were selected from the Persian Subject Headings List, and then simulated work tasks were assigned based on them. A total of 192 students from Ferdowsi University of Mashhad were asked to search for the information needed for simulated work tasks in the selected search engines, and then to copy the relevant website URLs in the search form.FindingsThe findings indicated that Google, Parsijoo, Rismoon, and Yooz had a significant difference in the precision, recall, and normalized discounted cumulative gain. There was also a significant difference in the effectiveness (average of precision, recall, and NDCG) of these four search engines in the retrieval of the Persian resources.Practical implicationsUsers using an efficient search engine will attain more relevant documents, and Google search engine was more efficient in retrieving the Persian resources. It is recommended to use Google as it has a more efficient search.Originality/valueIn this research, for the first time, Google has been compared with local Persian search engines considering the new approach (simulated work tasks).


Author(s):  
Akshat Divya Akshay ◽  
Jammula Nikhil ◽  
Arindam Chowdhury ◽  
S.A. Karthik

Search is an important aspect of information management often taken for granted. Domain specific repositories are growing in both size and numbers calling for efficient search and retrieval of documents. This paper explores the possible techniques and necessary system components for a search engine charting several iterative optimizations over the last few years. This paper focuses on NLP models while retaining basic principles from other methods that assist in information search.


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