Evolutionary Learning Search Engine
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-7622-5_45
Reference15 articles.
1. Haveliwala TH (2003) Topic-sensitive pagerank: a context-sensitive ranking algorithm for web search. IEEE Trans Knowl Data Eng 15(4)
2. Chen LC (2017) Optimizing search engine results using user interaction. In: IEEE Access 2017 international conference on I-SMAC
3. Ziakis C, Maro Vlachopoulou TK, Karagkiozidou M (2017) Important factors for improving google search rank. In: IEEE conference on smart systems and data science on 2017
4. Yan S, Hang Yu YC, Beijun Shen LJ (2020) Are the code snippets what we are searching for? A benchmark and an empirical study on code search with natural-language queries. In: IEEE International conference on software analysis, evolution and reengineering (SANER)
5. Singh R, A A, Dhingra D (2010) Schism—web search engine using semantic taxonomy. IEEE Potentials J 29(5)
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