In the first stage of a re-ranking pipeline, an inexpensive ranking model is typically deployed to retrieve a set of documents that are highly likely to be relevant to the user's query. The retrieved documents are then re-ranked by a more effective but ...

Current practice for evaluating recommender systems typically focuses on point estimates of user-oriented effectiveness metrics or business metrics, sometimes combined with additional metrics for considerations such as diversity and novelty. In this ...

Cellular systems use radio and microwave energy which is non-ionising in nature. The extensive use of cell phones has led to cell phone towers (base stations) being positioned in lots of communities flouting safety distance rules. There are instances ...

Ranking systems are the key components of modern Information Retrieval (IR) applications, such as search engines and recommender systems. Besides the ranking relevance to users, the exposure fairness to item providers has also been considered an ...

When only users’ preferences and interests are considered by a recommendation algorithm, it will lead to the severe long-tail problem over items. Therefore, the unfair exposure phenomenon of recommended items caused by this problem has attracted ...

Ranking systems are ubiquitous in modern Internet services, including online marketplaces, social media, and search engines. Traditionally, ranking systems only focus on how to get better relevance estimation. When relevance estimation is available, they ...

In Recommender Systems, impressions are a relatively new type of information that records all products previously shown to the users. They are also a complex source of information, combining the effects of the recommender system that generated them, ...

Rankings are the primary interface through which many online platforms match users to items (e.g. news, products, music, video). In these two-sided markets, not only the users draw utility from the rankings, but the rankings also determine the utility (...

Social recommender systems have been well studied in both academia and industry. Social information helps to solve the data sparsity and cold start problems in traditional recommender systems, while most existing works in social recommendation assume ...

The creation of computer science tutorials is becoming critically important as hundreds of millions of students each year get their first CS experience through self-directed online activities. Creating a "cliffhanger" activity, with high engagement ...

The study evaluated the oral proficiency of students according to their level of exposure to English linguistic environment. The study further aimed to determine the significant relationship between exposure to English linguistic environment and oral ...

Users' consumption behaviors are affected by both their personal preference and their exposure to items (i.e. whether a user knows the items).Most of the recent works in social recommendation assume that people share similar preference with their ...

Rankings of people and items are at the heart of selection-making, match-making, and recommender systems, ranging from employment sites to sharing economy platforms. As ranking positions influence the amount of attention the ranked subjects receive, ...

As computer science (CS) education expands at the K-12 level, we must be careful to ensure that CS neither exacerbates existing equity gaps in education nor hinders efforts to diversify the field of CS. In this paper, we discuss structural and social ...

For the first time, a personal exposimeter (PE) for 60 GHz radiation measurements is presented. The PE is designed based on numerical simulations, on-phantom and on-body calibration measurements under specular and diffuse exposure to determine the ...

We introduce the participation gestalt framework for analysing participation in public interactive installations. Building on the concept of interaction gestalt, we define the participation gestalt as the unified perception and experience of ...

BACKGROUND AND OBJECTIVES: Research on virtual reality exposure therapy (VRET) has demonstrated good treatment efficacy with regards to several anxiety disorders. Yet, there is lack of knowledge about the value of integrating interaction between clients and ...

Display advertisements are typically sold by the impression, where one impression is simply one download of an ad. Previous work has shown that the longer an ad is in view, the more likely a user is to remember it and that there are diminishing returns ...

Although the currently available digital cameras typically provide 256 levels of brightness data at each pixel, a real world scenes contains a very wide range of brightness variations. High Dynamic Range (HDR) images contain wider range of brightness ...

Digital tools of research dissemination make scholarly publications accessible to the public at large through simple search engines. As a result, the users that we study, interview, and cite may be at risk of exposure to unwelcome types of scrutiny and ...