摘要:
Methods and systems for selecting a service provider are disclosed. Information pertaining to print service providers, including associated user and general reputation scores, are received. Each user reputation score identifies a user's perception of a print service provider's reputation. Each general reputation score identifies a general strength of the print service provider's reputation. A first set of providers is selected based on a threshold user reputation score. A second set of providers is selected (pseudo-)randomly. A trust score is determined for each provider in the first and second sets based on the associated user and general reputation scores. One or more negotiation providers are selected from the first and second sets based on the associated trust scores. One or more of the user and general reputation scores are updated for negotiation providers based on a quality of service provided or an offer provided to or by the negotiation provider.
摘要:
A system and method for the dynamic allocation of resources based on fairness, throughput, and user behavior measurement. A resource allocation decision can be made based on an index value computed by a selection index function, A fairness coefficient and a throughput coefficient, which represents the significance of fairness and throughput can be computed utilizing a reinforcement learning algorithm and the degree of fairness and throughput coefficient can be varied while allocating resources. A user behavior coefficient with respect to a user can be computed to determine the degree of cooperativeness of the user with other users and the value of user behavior coefficient can be updated each time it interacts with the system.
摘要:
Embodiments generally relate to systems and methods for detecting topics in social media data. More particularly, the systems and methods can extract a concept hierarchy from a set of data, wherein the concept hierarchy comprises a plurality of layers. Further, the systems and methods can train topic models based on the content in each of the layers. Still further, the systems and methods can select the most appropriate topic model for social media data by balancing the complexity of the model and the accuracy of the topic detection result. Moreover, the systems and methods can use the most appropriate topic model to detect topics in social media data.
摘要:
Methods and systems for recommending a service based on an electronic social media trust model. A user trust network and a service trust network can be constructed and the two separate trust networks can be combined to form a combined trust network. The combined trust network includes an explicit trust and an implicit trust in order to improve the recommendation coverage and consider a latent service rating without suffering noisy data. A trust-oriented random walk model can be conducted on a user node with respect to the combined trust network based on a user search intent and navigation behavior in order to select and recommend a service candidate. A service rating can then be predicted by considering the user ratings with respect to a target service, a propagated trust and an inferred service rating.
摘要:
A system and method for measuring engagement effectiveness with respect to a service agent by analyzing a conversation between the agent and a customer in a social media environment. A conversation history between the agent and the customer can be mapped into a multi-resolution space based on different time frames via a mapping module. A polarized topical and sentimental distance between the continuous conversations can be calculated by applying a topic-sentiment mixture model and a divergence theorem onto the conversation history with respect to the time frame. Finally, the polarized topical distances can be aggregated in a time-sensitive way based on a time function and an effectiveness score can be calculated and represented as a weighted pyramid kernel of multiple levels. Such a time-sensitive pyramid kernel function based on the implicit topical and sentimental correspondences between daily conversations enables discriminative evaluation for the agent engagement in a customer care.
摘要:
In accordance with one aspect of the present exemplary embodiment, a system determines a solution based on received data. An intake component receives an incomplete data set from one or more sources. A recommendation system transforms the incomplete data set into a semantic data set via latent semantic indexing, classifies the semantic data set into an existing cluster and provides one or more solutions of the existing cluster as one or more recommendations.
摘要:
A system and method for identifying a key influencer in a social media environment for enterprise marketing utilizing topic modeling and social diffusion analysis. A user interest profile can be generated by analyzing historical data stored in a database utilizing. A social graph can be generated and an influence measuring process based on the social graph data can be performed utilizing a static diffusion model and a dynamic diffusion model to calculate a set of key influencers. The dynamic diffusion model considers time stamp information to assess an impact of each user communication on the growth of a conversation within a time period. The key influencer can be identified in a specific topic area and a number of total users that can be reached via the influencer within a specific time window can be predicted.
摘要:
Embodiments herein select performance indicators from raw data and measure the indicators over at least one time period to extract a time series of data for each of the indicators. The method determines a time order among the correlated indicators and determines a causal direction among the correlated indicators based on which of the correlated indicators occurs first in time so as to identify relative leading indicators among the correlated indicators. The processes of determining the time order and determining the causal direction can comprise applying Dynamic Time Warping and/or Granger Causality techniques to the time series of data.