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Volume 19, Issue 4November 2019Special Section on Trust and AI and Regular Papers
Reflects downloads up to 01 Nov 2024Bibliometrics
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SECTION: Special Section on Trust and AI
research-article
Trust Prediction via Matrix Factorisation
Article No.: 44, Pages 1–20https://doi.org/10.1145/3323163

In this article, we propose the PTP-MF (Pairwise Trust Prediction through Matrix Factorisation) algorithm, an approach to predicting the intensity of trust and distrust relations in Online Social Networks (OSNs).

Our algorithm maps each OSN user i onto ...

research-article
Understanding the Influences of Past Experience on Trust in Human-agent Teamwork
Article No.: 45, Pages 1–22https://doi.org/10.1145/3324300

People use the knowledge acquired from past experiences in assessing the trustworthiness of a trustee. In a time where the agents are being increasingly accepted as partners in collaborative efforts and activities, it is critical to understand all ...

research-article
The Influence of Trust Score on Cooperative Behavior
Article No.: 46, Pages 1–22https://doi.org/10.1145/3329250

The assessment of trust between users is essential for collaboration. General reputation and ID mechanisms may support users’ trust assessment. However, these mechanisms lack sensitivity to pairwise interactions and specific experience such as betrayal ...

research-article
CAN-TM: Chain Augmented Naïve Bayes-based Trust Model for Reliable Cloud Service Selection
Article No.: 47, Pages 1–20https://doi.org/10.1145/3341732

The increasing proliferation of Cloud Services (CSs) has made the reliable CS selection problem a major challenge. To tackle this problem, this article introduces a new trust model called Chain Augmented Naïve Bayes-based Trust Model (CAN-TM). This ...

research-article
It Is an Equal Failing to Trust Everybody and to Trust Nobody: Stock Price Prediction Using Trust Filters and Enhanced User Sentiment on Twitter
Article No.: 48, Pages 1–20https://doi.org/10.1145/3338855

Social media are providing a huge amount of information, in scales never possible before. Sentiment analysis is a powerful tool that uses social media information to predict various target domains (e.g., the stock market). However, social media ...

SECTION: Regular Papers
research-article
An Incentive Mechanism for Crowdsourcing Systems with Network Effects
Article No.: 49, Pages 1–21https://doi.org/10.1145/3347514

In a crowdsourcing system, it is important for the crowdsourcer to engineer extrinsic rewards to incentivize the participants. With mobile social networking, a user enjoys an intrinsic benefit when she aligns her behavior with the behavior of others. ...

research-article
Betweenness Centrality Based Software Defined Routing: Observation from Practical Internet Datasets
Article No.: 50, Pages 1–19https://doi.org/10.1145/3355605

Software-defined networking (SDN) enables routing control to program in the logically centralized controllers. It is expected to improve the routing efficiency even in highly dynamic situations. In this article, we make an in-depth observation of ...

research-article
A Pure Visual Approach for Automatically Extracting and Aligning Structured Web Data
Article No.: 51, Pages 1–26https://doi.org/10.1145/3365376

Database-driven websites and the amount of data stored in their databases are growing enormously. Web databases retrieve relevant information in response to users’ queries; the retrieved information is encoded in dynamically generated web pages as ...

research-article
Pay as Your Service Needs: An Application-Driven Pricing Approach for the Internet Economics
Article No.: 52, Pages 1–28https://doi.org/10.1145/3361148

Various differentiated pricing schemes have been proposed for the Internet market. Aiming at replacing the traditional single-class pricing for better welfare, yet, researchers have shown that existing schemes can bring only marginal profit gain for the ...

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