Results 111 to 120 of about 474,618 (366)
A Neural Click Model for Web Search
The Web Conference, 2016 Understanding user browsing behavior in web search is key to improving web search effectiveness. Many click models have been proposed to explain or predict user clicks on search engine results.
Alexey Borisov +3 more
semanticscholar +1 more source
Advanced Science, EarlyView.There is growing interest in understanding how classroom teaching works, but previous theories and studies leave a gap in the neurocognitive mechanisms involved in real classroom teaching. Here we show that during real classroom teaching, students' middle frontal cortex serves as a hub of a rapid cortical learning process, supporting their knowledge ...
Xiaodan Feng +6 more
wiley +1 more source
Explainable Deep Multilevel Attention Learning for Predicting Protein Carbonylation Sites
Advanced Science, EarlyView.Selective carbonylation sites (SCANS) are conceptualized, designed, evaluated, and released. SCANS captures segment‐level, protein‐level, and residue embeddings features. It utilizes elaborate loss function to penalize cross‐predictions at the residue level.
Jian Zhang +6 more
wiley +1 more source
Combining Faceted Search and Query Languages for the Semantic Web [PDF]
, 2011 Faceted search and querying are the two main paradigms to search the Semantic Web. Querying languages, such as SPARQL, offer expressive means for searching knowledge bases, but they are difficult to use. Query assistants help users to write well-formed queries, but they do not prevent empty results.
Ferré, Sébastien +2 more
openaire +4 more sources
Advanced Science, EarlyView.This work maps 3′‐UTR APA across mouse fetal development and tissues, identifying conserved sequence determinants that influence pAS choice. In fetal brain tissues, complex APA dynamics during development are potentially regulated by RBPs like Rbm38, which restrict distal pAS usage.
Qin Wang, Xin Chen, Xiao‐Ou Zhang
wiley +1 more source
Energy-Efficient Query Processing in Web Search Engines
IEEE Transactions on Knowledge and Data Engineering, 2017 Web search engines are composed by thousands of query processing nodes, i.e., servers dedicated to process user queries. Such many servers consume a significant amount of energy, mostly accountable to their CPUs, but they are necessary to ensure low latencies, since users expect sub-second response times (e.g., 500 ms). However, users can hardly notice
Catena M, Tonellotto N
openaire +5 more sources
US employment exposure to domestic and foreign tariff changes under NAFTA
Applied Economic Perspectives and Policy, EarlyView.Abstract Literature examining the effects of changes in trade agreements and import competition on US employment and wages has focused primarily on non‐agricultural industries and changes in US import tariffs. We propose a method for measuring worker exposure to changes in agricultural tariffs using a newly developed county‐level dataset of employment ...
Diane E. Charlton +3 more
wiley +1 more source
Early warning of COVID-19 hotspots using human mobility and web search query data. [PDF]
Comput Environ Urban Syst, 2022 Yabe T +3 more
europepmc +1 more source
Query Segmentation for Relevance Ranking in Web Search [PDF]
arXiv, 2013 In this paper, we try to answer the question of how to improve the state-of-the-art methods for relevance ranking in web search by query segmentation. Here, by query segmentation it is meant to segment the input query into segments, typically natural language phrases, so that the performance of relevance ranking in search is increased.
arxiv
Applied Economic Perspectives and Policy, EarlyView.Abstract Animal welfare programs alone are insufficient to ensure better welfare for farm animals. Effective farm management, driven by dairy farmers' intrinsic motivation, plays a pivotal role. This study examines the factors influencing dairy farmers' intention to implement animal welfare practices and their commitment to continuously enhancing ...
Henrike Grotsch +3 more
wiley +1 more source