Alessio Paolucci

Nowadays, a great interest is being devoted to the development of semantic search engines, due to
the performance gain that semantic technologies can bring to the search engine market. Search
engines are important outcomes of the Information Retrieval (IR) research area.
With the growth in terms of technologies and products for semantic information search
(Semantic search engines, enterprise search, vertical search engines and more) it becomes necessary
to identify and/or develop evaluation metrics and performance measures. These metrics and
measures must be technology-independent and thus not related to a specific research area like
probabilistic-based IR tools.

pdf

@Inproceedings{Paolucci,
    author = {Alessio Paolucci},
    title  ={Information Retrieval performance measures and NLP metrics: a discussion proposal},
    year = {2008},
    month = {december},
    address = {Udine, Italy},
    editor = {Marco Gavanelli and Toni Mancini},
    organization = {RCRA},
    booktitle = {R.i.C.e.R.c.A. 2008: RCRA Incontri E Confronti},
}