In our age of ubiquitous digital displays, adults often read in short, opportunistic interludes.
In this context of Interlude Reading, we consider if manipulating font choice can improve …

Abstract Successful Location-Based Services should offer accurate and timely information
consumption recommendations to their customers, relevant to their contextual situation. To …

In this paper, we address the ice-start problem, ie, the challenge of deploying machine
learning models when only a little or no training data is initially available, and acquiring …

Recommender systems (RSs) provide the personalized recommendations to users for
specific items in a wide range of applications such as e-commerce, media recommendations …

The amount of text people need to read and understand grows daily. Software defaults,
designers, or publishers often choose the fonts people read in. However, matching …

Filtering information on the Internet and recommending the right choices is more than
important for Internet users and various businesses that offer products and services …

Crowdsourced software testing (short for crowdtesting) is a special type of crowdsourcing. It
requires that crowdworkers master appropriate skill-sets and commit significant effort for …

Recommender system is a popular tool that aims to provide personalized suggestions to
user about items, products, services, and so on. Recommender system has effectively been …

News recommendation is essential for personalized news distribution. Federated news
recommendation, which enables collaborative model learning from multiple clients without …

Identifying and optimizing open participation is essential to the success of open software
development. Existing studies highlighted the importance of worker recommendation for …