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Tesi etd-11142017-181134


Thesis type
Tesi di laurea magistrale
Author
CIFARIELLO, PAOLO
email address
paolocifa@gmail.com
URN
etd-11142017-181134
Title
Wiser: Wikipedia Expertise Rank
Struttura
INFORMATICA
Corso di studi
INFORMATICA
Commissione
relatore Prof. Ferragina, Paolo
Parole chiave
  • data fusion
  • expert finding
  • expertise retrieval
  • entity linking
  • search engine
  • information retrieval
Data inizio appello
01/12/2017;
Consultabilità
parziale
Data di rilascio
01/12/2020
Riassunto analitico
We present Wiser, a new search engine for expert finding in academia. Our system is unsupervised and it jointly combines multiple classical language modeling techniques, based on text evidences, with Wikipedia knowledge, via entity linking. <br><br>The expertise of each indexed expert is modeled by Wiser through a graph-based representation of Wikipedia entities and their relationships. Each expert-graph is further refined via proper computations (e.g. clustering and random walks) and eventually enhanced with the latent representation of entities learned with word embeddings.<br><br>The effectiveness of our system is established over a large-scale experimental test over standard datasets which shows better performance than other state-of-the-art competitors published in top conferences, such as WWW 2016.
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