Match making is of significant importance in some social systems. People may need to seek for romantic partners, teammates, collaborators, etc. In this paper, we propose a minimalist framework of ...match making in complex networks. Specially we adopt a simple model where each individual would greedily seek for making a match with the strongest partner within his/her social connection range. We explore a few matching schemes including greedy mode, roulette wheel selection mode and completely random mode on different networks. We also investigate when social systems become more densely connected, how the match making process would be affected. Our observations show that, in a more densely connected social network, individuals’ efforts for seeking for matches with the strongest partners would be more likely to end up with matching with someone similar to themselves. Meanwhile, the cost of such an approach may be quickly increased. The implications of such observations in real-life systems and open problems are briefly discussed.
Background and Objectives: In the work environment of all employees, there is a job stress that affects them in different ways. The aim of this study was to investigate the incidence of job stress ...and its impact on the general health of matchmaking industry employees. Material and Methods: In this descriptive-analytical study, 97 of the employees working in a match-making factory entered the study by using the census method. The measuring tool was a questionnaire that consisted of demographic data, Cooper Job Stress Questionnaire, and General Health (GH28) Questionnaire. The data were analyzed by SPSS16 software using descriptive statistics and Independent t-test and Spearman correlation coefficient. Results: Study results showed that 72.8% of the subjects with an average score of 26.9±7.7 for general health, were suspected of having a mental disorder. Also, the subjects were suspected of illness in all components of general health (physical health, anxiety symptoms, social function, and depression symptoms). Findings of the study showed that 35.1% of the subjects had low stress, 53.6% had moderate stress and 11.3% had high stress. The results of Spearman test showed a significant relationship between job stress and general health and physical health components, anxiety symptoms, and also demographic variables such as age, overtime, and work shift (p Conclusion: The prevalence of job stress among the subjects was moderate. General health, physical health components, and anxiety symptoms showed a correlation with job stress; so that the general health components showed a reduction in the high-stress subjects.
Computing Clouds offer a new way of using IT facilities including the hardware, storage, applications and networks. The huge resource pool on the Cloud forms an appropriate platform for running ...applications with both computing and data intensity, like the DNA sequencing workflows. This paper studies the topic of running scientific workflows on multiple Clouds, with the DNA sequencing workflow as a driven application. We focus on the problem of matching the workflow functional and non-functional Service Level Agreement (SLA) requirements to the compute and storage services provisioned by underlying Clouds with different service price and quality. We designed an ontological model for a semantic description of the problem and developed a novel utility-based genetic matching algorithm for selecting the Cloud services with respect to the user requirements and the properties of the Clouds. We validated the approach by comparing the performance of the proposed algorithm with other matching algorithms in executing the DNA sequencing application on a realistic simulation platform. The results show the effectiveness of our approach in reducing the total costs and fulfilling the requested service quality even with large-scale service compositions.
•An ontological model to semantically describe composite multi-Cloud services.•A mathematical formulation of the SLA-based match-making problem on multi-Cloud.•A utility-based genetic algorithm to optimize the selection of Cloud resources.•A simulation-based evaluation with a real DNA sequencing healthcare workflow.•The proposed matching algorithm reduces execution costs while fulfilling the SLAs.
With remarkable successes of sharing economy services (e.g., UBER (
https://www.uber.com
), Airbnb (
https://www.airbnb.com
), and so on), the amount of items which are distributed through these ...services is rapidly increasing. Therefore recommender systems for the sharing economy services are required. However, the existing recommenders are hard to support the sharing economy services, since they have focused on a ‘Item-User’ model that the recommenders provide satisfiable items to consumers (users) in accordance with only the consumers’ preferences. In this regard, we suggest a novel recommendation model, ‘Owner-Borrower’ model which considers the preferences of both sides: owners and borrowers of properties (items). Also, we propose a recommendation method based on the proposed model by applying a tensor factorization method and the Gale-Shapley algorithm. The tensor factorization is used for estimating preferences of the owners and the borrowers. With the estimated preferences, the Gale-Shapley algorithm makes optimal matches between the borrowers and the owners’ properties.
In 2020 the world was hit by the COVID-19 pandemic putting entire governments and civil societies in crisis mode. Around the globe unprecedented shortages of equipment and qualified personnel were ...reported in hospitals and diagnostic laboratories. When a crisis is global, supply chains are strained worldwide and external help may not be readily available. In Switzerland, as part of the efforts of the Swiss National COVID-19 Science Task Force, we developed a tailor-made web-based tool where needs and offers for critical laboratory equipment and expertise can be brought together, coordinated, prioritized, and validated. This Academic Resources for COVID-19 (ARC) Platform presents the specialized needs of diagnostic laboratories to academic research groups at universities, allowing the sourcing of said needs from unconventional supply channels, while keeping the entities tasked with coordination of the crisis response in control of each part of the process. An instance of the ARC Platform is operated in Switzerland (arc.epfl.ch) catering to the diagnostic efforts in Switzerland and sourcing from the Swiss academic sector. The underlying technology has been released as open source so that others can adopt the customizable web-platform for need/supply match-making in their own relief efforts, during the COVID-19 pandemic or any future disaster.
A Model of Multimodal Ridesharing and Its Analysis Lin, Jane; Sasidharan, Sandeep; Shuo Ma ...
2016 17th IEEE International Conference on Mobile Data Management (MDM),
06/2016, Volume:
1
Conference Proceeding, Journal Article
Getting a taxi in highly congested areas (e.g. Airports, conferences) is both time consuming and expensive. Chicago Tribune reports that wait at Chicago O'Hare International airport for taxi cabs can ...be as long as 45 minutes 1. In this paper we propose RSVP, a ridesharing system that uses walking and virtual pools. RSVP is aimed mainly for transportation hubs, such as airports, railway stations, etc. In these places, a steady stream of passengers arrive via some public transport mode, say train, and then depart to different destinations. We introduce a model for ride-sharing that involves walking, devise ridesharing algorithms, and evaluate them using a database that recorded real taxi trips in NYC.
A people-to-people matching system (or a match-making system) refers to a system in which users join with the objective of meeting other users with the common need. Some real-world examples of these ...systems are employer-employee (in job search networks), mentor-student (in university social networks), consume-to-consumer (in marketplaces) and male-female (in an online dating network). The network underlying in these systems consists of two groups of users, and the relationships between users need to be captured for developing an efficient match-making system. Most of the existing studies utilize information either about each of the users in isolation or their interaction separately, and develop recommender systems using the one form of information only. It is imperative to understand the linkages among the users in the network and use them in developing a match-making system. This study utilizes several social network analysis methods such as graph theory, small world phenomenon, centrality analysis, density analysis to gain insight into the entities and their relationships present in this network. This paper also proposes a new type of graph called “attributed bipartite graph”. By using these analyses and the proposed type of graph, an efficient hybrid recommender system is developed which generates recommendation for new users as well as shows improvement in accuracy over the baseline methods.
This paper proposes a method to reduce the playback suspension in a Video-on-Demand system based on the Peer-to-Peer technology (P2P VoD). Our main contribution is twofold. The first is the proposal ...of a hierarchical P2P architecture with the notion of dynamic swarms. Swarm is a group of peers to have similar playback position and those swarms are connected with an overlay so that requested pieces are forwarded from a swarm to another swarm in a bucket brigade manner, where the forward of pieces is regulated by the super-peer (SP) of each swarm. The second contribution is the proposal of a match making scheme between requests and uploaders. The simulation result indicates that the proposed scheme reduces the total waiting time of a randomized scheme by 24% and the load of the media server by 76%.
Although the definition of service-oriented architecture (SOA) included the presence of a service registry from the beginning, the first implementations (e.g., UDDI) did not really succeed mainly ...because of security and governance issues. This article tackles the problem by introducing
DREAM
(Distributed Registry by ExAMple): a publish/subscribe-based solution to integrate existing, different registries, along with a match-making approach to ease the publication and retrieval of services.
DREAM
fosters the interoperability among registry technologies and supports UDDI, ebXML Registry, and other registries. The publish/subscribe paradigm allows service providers to decide the services they want to publish, and requestors to be informed of the services that satisfy their interests. As for the match-making,
DREAM
supports different ways to evaluate the matching between published and required services. Besides presenting the architecture of
DREAM
and the different match-making opportunities, the article also describes the experiments conducted to evaluate proposed solutions.
► Reflecting implicit weights as well as explicit weights to the matchmaking system. ► Automatically modifying the matchmaking model as the number of sent message records. ► Providing reciprocal ...matchmaking by taking into account a partner’s preferences. ► Overcoming the cold start problems for newly entered users.
This is a study of a matchmaking system that adaptively adjusts the recommendation model reflecting the user’s implicit preference as well as the explicit one. Many matchmaking systems require their users to assign the level of importance, referred to as weight, of a certain attribute such as age, job, and salary when they select dating partners. However, many users do not know the exact level of importance of each attribute and thus, feel burdened to assign weights. Also, even though users explicitly assign weights, they are often in contrast to the users’ actual behaviors in many cases. This paper suggests a new matchmaking system called Adaptive Match-Making System (AMMS) that automatically adjusts the weight of each attribute by analyzing the user’s previous behaviors. AMMS provides recommendations for newly entered users on the basis of their explicit-weights assigned by users. However, as the user’s behavioral records are accumulated, it begins to build the logistic regression model in order to find out the user’s implicit weights and reflects them in proportion to the accuracy of the resulting model. The prototype of AMMS is implemented by using Java and the web editor. It is applied to the created artificial dataset based on the real survey results from major matchmaking companies in Korea.
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