Choosing job applicants to hire in online labor markets is hard. To identify the best applicant
at hand, employers need to assess a heterogeneous population. Recommender systems …

Crowdsourcing as an important computing resource for the Crowd-based Cooperative,
crowdsourcing workers, due to the complexity of their personnel composition and the …

Wikidata is an open knowledge graph built by a global community of volunteers. As it
advances in scale, it faces substantial challenges around editor engagement. These …

The crowdsourcing system is a distributed problem-solving platform, in which tasks are
delivered to the crowd (ie, crowdworkers) in the form of an open call. Usually, large-scale …

In crowdsourcing systems, tasks are accomplished by a crowd of workers in a competitive
mode. Since tasks are diverse in nature, workers face difficulties in selecting a task. This …

The main purpose of a recommendation system is that it will suggest items to users easily
making their life easier. Today the quantity of facts with inside the net increase very hastily …

Allocating tasks to the best-fit candidates is a classical problem in crowdsourcing (CS). Most
of the existing approaches assume that the task and candidate knowledge is known in …

Recommendation systems (RS) have become a hot topic in the study, intending to assist
consumers in finding goods online by offering choices that closely match their interests …

In this paper, Wiki technology proved to be an appropriate tool for sharing global knowledge,
as it provides an easy way to contribute and consume information. The way wikis are used …

Crowdsourcing is an emerging technology which enables human workers to perform the
task that cannot be done using automated tools. The crucial constituent of crowdsourcing …