In this study, we focus on different strategies drivers use in terms of interleaving between driving and non-driving related tasks (NDRT) while taking back control from automated driving. We conducted two driving simulator experiments to examine how ...

Due to a long history of using rote memorization and rereading as the primary means to study, students are coming to the University with misconceptions about study strategies that are beneficial for their performance and long-term learning. Techniques ...

Evaluating the causal effect of recommendations is an important objective because the causal effect on user interactions can directly leads to an increase in sales and user engagement. To select an optimal recommendation model, it is common to conduct ...

In this study, we propose an efficient method for comparing the post-click metric (e.g., dwell time and conversion rate) of multiple rankings in online experiments. The proposed method involves (1) the decomposition of the post-click metric measurement ...

This paper presents findings from an empirical study of multileaved comparisons, an efficient online evaluation methodology, in a commercial Web service. The most important difference from the previous studies is the number of rankers involved in the ...

To master a skill, students generally practice the content of the skill in a blocking manner. While practicing in a blocked fashion, students know the context of the problems and also which strategy is needed to arrive at a solution. However, in real ...

Retrieval practice, spacing, and interleaving are known to enhance long-term learning and transfer, but reduce short-term performance. It can be difficult to get both students and instructors to use these techniques since they perceive them as impeding ...

We present you a program of a balanced mix between an overview of academic achievements in the field of online evaluation and a portion of unique industrial practical experience shared by both the leading researchers and engineers from global Internet ...

The advantages offered by the presence of a schema are numerous. However, many XML documents in practice are not accompanied by a (valid) schema, making schema inference an attractive research problem. The fundamental task in XML schema learning is ...

This paper discusses challenges of an online evaluation technique, multileaved comparison, based on the analysis of evaluation results in a community question-answering (cQA) search service. NTCIR-13 OpenLiveQ task offered a shared task in which ...

A step trace is an equivalence class of step sequences which can be thought of as different observations of the same underlying concurrent history. Equivalence is determined on basis of a step alphabet that describes the relations between events in terms ...

A step trace is an equivalence class of step sequences, where the equivalence is determined by dependencies between pairs of actions expressed as potential simultaneity and sequentialisability. Step traces can be represented by invariant structures with ...

In this paper, a simple and effective design method for the protograph-based low-density parity-check (P-LDPC) coded modulation is present. The approach jointly optimizes the interleaving and protograph of the P-LDPC coded bit-interleaved coded ...

Evaluation in information retrieval takes one of two forms: collection-based offline evaluation, and in-situ online evaluation. Collections constructed by the former methodology are reusable, and hence able to test the effectiveness of any experimental ...

The increasing importance of Wi-Fi in today's wireless communication systems, both as a result of Wi-Fi offloading and its integration in IoT devices, makes it an ideal target for malicious attacks. In this paper, we investigate the structure of the ...

Automatically exploiting short vector instructions sets (SSE, AVX, NEON) is a critically important task for optimizing compilers. Vector instructions typically work best on data that is contiguous in memory, and operating on non-contiguous data requires ...

We propose a technology-independent vulnerability-driven parity selection method for protecting modern microprocessor in-core memory arrays against multiple-bit upsets (MBUs). As MBUs constitute over 50% of the upsets in recent technologies, error ...

Interleaving is an online evaluation method that compares two ranking functions by mixing their results and interpreting the users' click feedback. An important property of an interleaving method is its sensitivity, i.e. the ability to obtain reliable ...

Yandex is one of the largest Internet companies in Europe, operating Russia's most popular search engine, generating 58.6\% of all search traffic in Russia (as of April 2015). As all modern search engines, Yandex increasingly relies on online evaluation ...

Online evaluation methods, such as A/B and interleaving experiments, are widely used for search engine evaluation. Since they rely on noisy implicit user feedback, running each experiment takes a considerable time. Recently, the problem of reducing the ...