Automated Expertise Retrieval

2019 ◽  
Vol 52 (5) ◽  
pp. 1-30 ◽  
Author(s):  
Rodrigo Gonçalves ◽  
Carina Friedrich Dorneles
Keyword(s):  
Expertise Retrieval

Time-aware hybrid expertise retrieval system in community question answering services

2021 ◽  
Author(s):  
Dipankar Kundu ◽  
Rajat Kumar Pal ◽  
Deba Prasad Mandal
Keyword(s):  
Question Answering ◽  
Retrieval System ◽  
Community Question Answering ◽  
Expertise Retrieval ◽  
Time Aware

scholarly journals Experion: A framework for contextualizing evidence in expert finding

2021 ◽  
Author(s):  
Rodrigo Gonçalves ◽  
Carina F. Dorneles
Keyword(s):  
Information Retrieval ◽  
Research Topic ◽  
Expert Finding ◽  
Search Results ◽  
Open Research ◽  
Academic Activities ◽  
Search Processes ◽  
Data Source ◽  
The Moment ◽  
Expertise Retrieval

Expert finding is traditionally related to a subject of research in information retrieval and, often, is taken to mean "expertise retrieval within a specific organization". The task involves finding an expert in an expertise topic. Even though there are interesting proposals in the literature, they do not consider the context in which a given expertise is bound. This Ph.D. thesis introduces the concept of a framework that chronologically contextualizes search results in expert finding. Our motivation is to provide more accurate results of search processes related to finding experts in a given topic, contextualizing the expertise on professional/academic activities, an open research topic. In this paper, we present the main concepts of the framework we are developing and a general overview of its operation. At the moment, we are using the Lattes platform as a data source, for which we developed a process to extract expertise evidence, supported by the Crossref database.

Preference enhanced hybrid expertise retrieval system in community question answering services

2020 ◽  
Vol 129 ◽  
pp. 113164 ◽  
Author(s):  
Dipankar Kundu ◽  
Rajat Kumar Pal ◽  
Deba Prasad Mandal
Keyword(s):  
Question Answering ◽  
Retrieval System ◽  
Community Question Answering ◽  
Expertise Retrieval

scholarly journals CredSaT: Credibility ranking of users in big social data incorporating semantic analysis and temporal factor

2018 ◽  
Vol 45 (2) ◽  
pp. 259-280 ◽  
Author(s):  
Bilal Abu-Salih ◽  
Pornpit Wongthongtham ◽  
Kit Yan Chan ◽  
Dengya Zhu
Keyword(s):  
Semantic Analysis ◽  
Social Trust ◽  
Viral Marketing ◽  
Social Data ◽  
Fine Grained ◽  
Computer Scientists ◽  
Real World Datasets ◽  
Information Consumers ◽  
Expertise Retrieval ◽  
Temporal Factor

The widespread use of big social data has influenced the research community in several significant ways. In particular, the notion of social trust has attracted a great deal of attention from information processors and computer scientists as well as information consumers and formal organisations. This attention is embodied in the various shapes social trust has taken, such as its use in recommendation systems, viral marketing and expertise retrieval. Hence, it is essential to implement frameworks that are able to temporally measure a user’s credibility in all categories of big social data. To this end, this article suggests the CredSaT (Credibility incorporating Semantic analysis and Temporal factor), which is a fine-grained credibility analysis framework for use in big social data. A novel metric that includes both new and current features, as well as the temporal factor, is harnessed to establish the credibility ranking of users. Experiments on real-world datasets demonstrate the efficacy and applicability of our model in determining highly domain-based trustworthy users. Furthermore, CredSaT may also be used to identify spammers and other anomalous users.

Expertise Retrieval

2012 ◽  
Vol 6 (2-3) ◽  
pp. 127-256 ◽  
Author(s):  
Krisztian Balog
Keyword(s):  
Expertise Retrieval

The impact of awareness and accessibility on expertise retrieval: A multilevel network perspective

2010 ◽  
pp. n/a-n/a ◽  
Author(s):  
Y. Connie Yuan ◽  
Inga Carboni ◽  
Kate Ehrlich
Keyword(s):  
Expertise Retrieval ◽  
The Impact

Expertise Retrieval

2012 ◽  
Author(s):  
Krisztian Balog
Keyword(s):  
Expertise Retrieval

scholarly journals Unsupervised, Efficient and Semantic Expertise Retrieval

2016 ◽  
Author(s):  
Christophe Van Gysel ◽  
Maarten de Rijke ◽  
Marcel Worring
Keyword(s):  
Expertise Retrieval

THE IMPACT OF AFFECTIVE RELATIONSHIPS AND AWARENESS ON EXPERTISE RETRIEVAL: A MULTILEVEL NETWORK PERSPECTIVE ON TRANSACTIVE MEMORY THEORY.

2010 ◽  
Vol 2010 (1) ◽  
pp. 1-6 ◽  
Author(s):  
Y. CONNIE YUAN ◽  
INGA CARBONI ◽  
KATE EHRLICH
Keyword(s):  
Transactive Memory ◽  
Memory Theory ◽  
Expertise Retrieval ◽  
The Impact
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