Continuous growth of the Web and user bases forces web search engine companies to
make costly investments on very large compute infrastructures. The scalability of these …

Educational recommenders have received much less attention in comparison with e-
commerce-and entertainment-related recommenders, even though efficient intelligent tutors …

Nearest neighbor in high-dimensional space has been widely used in various fields such as
databases, data mining and machine learning. The problem has been well solved in low …

With the advancement and utility of Artificial Intelligence (AI), personalising education to a
global population could be a cornerstone of new educational systems in the future. This …

There has been a large amount of research on early termination techniques in web search
and information retrieval. Such techniques return the top-k documents without scanning and …

Educational recommenders have received much less attention in comparison to e-
commerce and entertainment-related recommenders, even though efficient intelligent tutors …

Ranking search results is a fundamental problem in information retrieval. In this paper we
explore whether the use of proximity and phrase information can improve web retrieval …

Large search engines process thousands of queries per second on billions of pages,
making query processing a major factor in their operating costs. This has led to a lot of …

Current search engines use very complex ranking functions based on hundreds of features.
While such functions return high-quality results, they create efficiency challenges as it is too …

Dynamic pruning strategies for information retrieval systems can increase querying
efficiency without decreasing effectiveness by using upper bounds to safely omit scoring …