A personalized ranking method based on inverse reinforcement learning in search engines
F Karamiyan, M Mahootchi, A Mohebi - Engineering Applications of …, 2024 - Elsevier
… As a result, the initial ranking is changed and adapted to … models such as TF-IDF, BM25,
and LDA, focusing on content … of using click-through data rather than explicit data directly from …
and LDA, focusing on content … of using click-through data rather than explicit data directly from …
RRLUFF: Ranking function based on reinforcement learning using user feedback and web document features
… -based and connectivitybased. The former suffers from the … The ranking based on learning
is useful for adaptive filtering [6]… user’s click-through rate on documents in the first rank is 7.11…
is useful for adaptive filtering [6]… user’s click-through rate on documents in the first rank is 7.11…
Torank: Identifying the most influential suspicious domains in the tor network
… Additionally, we used Tor network search engines, such as … the content of DUTA samples
to parse new HS addresses; then we scraped their content and iteratively repeated this process …
to parse new HS addresses; then we scraped their content and iteratively repeated this process …
Content and link-structure perspective of ranking webpages: A review
… The Adaptive PageRank algorithm decreases the … both using toolbar and click-through
correlations. Using the spam … node in the network forming a mesh topology-like structure. The …
correlations. Using the spam … node in the network forming a mesh topology-like structure. The …
[PDF][PDF] IMPACT OF COVID-19 PANDEMIC ON USER SEARCH BEHAVIOR: A CASE STUDY OF POSTGRADUATE STUDENTS
O Alhabashneh, A Salloum, K Altarawneh, M Almajali… - machineintelligenceresearchs.com
… It has been argued that click-through data could contain useful information regarding the …
A3CRank: An adaptive ranking method based on connectivity, content and click-through data…
A3CRank: An adaptive ranking method based on connectivity, content and click-through data…
User Behavior Driven Improvement to Site Search Using Machine Learning Techniques
X Yan - 2021 - search.proquest.com
… their search algorithm A3CRank, with content, connectivity and click-through taken into …
Mathematical/Statistical techniques to improve the performance and adaptation of the site-…
Mathematical/Statistical techniques to improve the performance and adaptation of the site-…