Titlebook: Recommendation and Search in Social Networks; Özgür Ulusoy,Abdullah Uz Tansel,Erol Arkun Book 2015 Springer International Publishing Switz

渐强

Sanket Anil Naik,Qi Yung exploitation of ML-based approaches generated opaque systems, which are nowadays no longer socially acceptable—calling for eXplainable AI (XAI). Such a problem is exacerbated when IS tend to approach safety-critical scenarios. This paper highlights the need for on-time explainability. In particul

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嬉耍

ng exploitation of ML-based approaches generated opaque systems, which are nowadays no longer socially acceptable—calling for eXplainable AI (XAI). Such a problem is exacerbated when IS tend to approach safety-critical scenarios. This paper highlights the need for on-time explainability. In particul

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悦耳

infelicitous

Personalization of Web Search Using Social Signals,, we develop several approaches to integrate persocial relevance model into the textual Web search process. We show how .Personalized search engine (PERSOSE) can run effectively on 14 million WikipediaWikipedia articles and social data from real FacebookFacebook@Facebook users and generate accurate

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The Pareto Principle Is Everywhere: Finding Informative Sentences for Opinion Summarization Through sentences toward the same aspect of an entity and . can be considered as the most informative sentences of the corresponding aspect. We develop two effective algorithms to identify communities and leaders. Reviews of six products from Amazon.com are used to verify the effectiveness of our method fo

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Social Media Question Asking: A Developing Country Perspective,n developing countries play a significant role to motivate users using SNS for information retrieval. Based on a structured survey on 328 persons, we have tried to emphasize the differences between social search and traditional web search. Our statistical analysis finds the correlations among differ

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Evolutionary Influence Maximization in Viral Marketing,g the temporal dynamics of the network. Incorporating temporal dynamics of the network would assist in selecting an optimal subset of users with the maximum influence over the network. This paper focuses on developing an algorithm for the selection of the users to market the product by exploiting th

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