Understanding graph-based trust evaluation in online social networks: Methodologies and challenges
Online Social Networks (OSNs) are becoming a popular method of meeting people and
kee** in touch with friends. OSNs resort to trust evaluation models and algorithms to …
kee** in touch with friends. OSNs resort to trust evaluation models and algorithms to …
Finding the optimal social trust path for the selection of trustworthy service providers in complex social networks
Online Social networks have provided the infrastructure for a number of emerging
applications in recent years, eg, for the recommendation of service providers or the …
applications in recent years, eg, for the recommendation of service providers or the …
A heuristic algorithm for trust-oriented service provider selection in complex social networks
In a service-oriented online social network consisting of service providers and consumers, a
service consumer can search trustworthy service providers via the social network. This …
service consumer can search trustworthy service providers via the social network. This …
Trust evaluation via large-scale complex service-oriented online social networks
L Liu, H Jia - IEEE Transactions on Systems, Man, and …, 2015 - ieeexplore.ieee.org
Service-oriented online social networks (SOSNs) are emerging ubiquitous platforms for
numerous services where service consumers require the selection of trustworthy service …
numerous services where service consumers require the selection of trustworthy service …
Discovering sentiment sequence within email data through trajectory representation
Traditional document-level sentiment analysis fails to consider sentiment sequence within
documents. This research paper proposes a novel perspective of sequence-based …
documents. This research paper proposes a novel perspective of sequence-based …
mFILS: Tri-selection via convex and nonconvex regularizations
In many real-world applications, data are represented by multiple instances and
simultaneously associated with multiple labels. These data are always redundant and …
simultaneously associated with multiple labels. These data are always redundant and …
Crawling and preprocessing mailing lists at scale for dialog analysis
This paper introduces the Webis Gmane Email Corpus 2019, the largest publicly available
and fully preprocessed email corpus to date. We crawled more than 153 million emails from …
and fully preprocessed email corpus to date. We crawled more than 153 million emails from …
[PDF][PDF] A generative joint, additive, sequential model of topics and speech acts in patient-doctor communication
We develop a novel generative model of conversation that jointly captures both the topical
content and the speech act type associated with each utterance. Our model expresses both …
content and the speech act type associated with each utterance. Our model expresses both …
Towards multi-label feature selection by instance and label selections
In multi-label learning, feature and instance selection represent two effective dimensionality
reduction techniques, which remove noise, irrelevant and redundant entries from original …
reduction techniques, which remove noise, irrelevant and redundant entries from original …
Making sense of archived e‐mail: Exploring the Enron collection with NetLens
Informal communications media pose new challenges for information‐systems design, but
the nature of informal interaction offers new opportunities as well. This paper describes …
the nature of informal interaction offers new opportunities as well. This paper describes …