ETD

Archivio digitale delle tesi discusse presso l'Università di Pisa

Tesi etd-11142017-181134


Tipo di tesi
Tesi di laurea magistrale
Autore
CIFARIELLO, PAOLO
Indirizzo email
paolocifa@gmail.com
URN
etd-11142017-181134
Titolo
Wiser: Wikipedia Expertise Rank
Dipartimento
INFORMATICA
Corso di studi
INFORMATICA
Relatori
relatore Prof. Ferragina, Paolo
Parole chiave
  • search engine
  • search engine
  • information retrieval
  • expertise retrieval
  • expert finding
  • entity linking
  • entity linking
  • data fusion
Data inizio appello
01/12/2017
Consultabilità
Completa
Riassunto
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.
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.
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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