Giggem Provides A Matchmaking Service For Musicians, Managers, And Other Industry Professionals


Remember Me. While technological solutions have led to increased efficiency, online dating services have not been able to decrease the time needed to find a suitable match. Online dating users spend on average 12 hours a week online on dating activity [1]. Hinge, for example, found that only 1 in swipes on its platform led to an exchange of phone numbers [2]. Like Amazon and Netflix, online dating services have a plethora of data at their disposal that can be employed to identify suitable matches. Machine learning has the potential to improve the product offering of online dating services by reducing the time users spend identifying matches and increasing the quality of matches. How does Hinge know who is a good match for you? It uses collaborative filtering algorithms, which provide recommendations based on shared preferences between users [4].

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On Tinder, impression management begins with a motivation to download the app, the choice of one’s profile pho Impression management on a matchmaking mobile app [Google Scholar]; Papacharissi, Z. ().

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This is what the Myers-Briggs personality test told Karen Kossow in when she joined McLean, Va.-based Kettler Management (formerly KSI Services).

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Muslim Marriage Goes Online: The Use of Internet Matchmaking by American Muslims

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Elecgy is a technology-based company aiming to transform electric power management at the demand side by providing smart and connected electronic systems that minimize losses and maximize energy efficiency. Integration of Distributed Energy Resources in the distribution grid. Participants: Georgios Stravopodis Product Manager – georgios. Enging is specialised in innovative industrial asset condition monitoring solutions for electrical motor and power transformers, focusing on the latest IIoT technologies.

All the technologies developed are non-invasive and detect the main faults in these assets through a new predictive maintenance technique only based on electrical variables. These monitoring technologies were fully developed by Enging, being a pioneering technology in the market, highlighted by the advantages compared to the other existing technologies. Greenflux develops a cloud-based smart charging platform and a range of smart charging controllers.

The cloud-based platform powers Charge Point Operators over the world by facilitating asset management, international roaming, billing and transactions. The smart charging controller fits in every charge station and changes it into a smart energy station. North America. South America.

Matchmaking: An extensible framework for distributed resource management

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Email Address. Sign In. Trust-Aware and Fast Resource Matchmaking for Personalized Collaboration Cloud Service Abstract: In data-intensive cloud collaboration services with tens of thousands of users and million-level resources, means of providing personalized and trust-aware services quickly and simultaneously is a challenging issue. In this paper, we propose Per-trust, a trust-aware and fast resource matchmaking scheme for personalized QoS guaranteeing in collaboration cloud service.

First, an integrated and trust-aware service broking architecture is proposed across the collaborative cloud computing environment; this architecture can provide trust computing and personalized resource matchmaking capacities. Then, a resource clustering method is proposed based on the multidimensional properties of cloud resources; this method can accurately, quickly meet the personalized requirements of users.

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Abstract Mobile social networks MSNs enable users to discover and interact with existing and potential friends both in the cyberspace and in the real world. Although mobile social network applications bring us much convenience, privacy concerns become the key security issue hindering their wide adoptions. In this paper, we propose a recommendation- based matchmaking scheme in multiple MSNs, which can help users to find their potential friends without disclosing their private information.

The correctness and security analyzing results show that our scheme can resist both semihonest and malicious attacks while providing matchmaking functionality against private data leakage.

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The aim of the event is to facilitate contact and collaboration between entities from the Donor States Iceland, Liechtenstein, and Norway and Beneficiary State Poland that could lead to drafting and submitting partnership projects. Therefore, the webinar will be of interest to potential applicants from Poland local government units as well as their unions, SMEs and large enterprises as well as any public or private entity, commercial or non-commercial, as well as non-governmental organizations established as a legal person in the Donor States willing to cooperate as a project partner.

The webinar will be conducted in English and will be moderated by a representative of the National Fund for Environment Protection and Water Management. Entities interested in taking part are kindly requested to register on this website.

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