Using Latent Semantic Indexing for an Online Research Interest Matching System

DOI

10.2991/icaiees-13.2013.30How to use a DOI?

Keywords

Latent Semantics Indexing, Singular value decomposition, information retrieval

Abstract

The exponentially increasing information online nowadays calls for efficient and effective information retrieval method. An example of online information retrieval is to retrieve and match research interests among researchers. This article presents a method for automatic textual information retrieval and online research interest matching system using latent semantics indexing. Information about professors’ research interests is collected from website and a term-document matrix is generated based on the textual information. Information Retrieval is then performed from truncated SVD. Study shows that selection of dimension k can affect the returning results.

Copyright

© 2013, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Download article (PDF)

TY  - CONF
AU  - Chunli Yu
PY  - 2013/12
DA  - 2013/12
TI  - Using Latent Semantic Indexing for an Online Research Interest Matching System
BT  - Proceedings of the 2013 International Conference on Advanced Information Engineering and Education Science (ICAIEES 2013)
PB  - Atlantis Press
SP  - 109
EP  - 112
SN  - 1951-6851
UR  - https://doi.org/10.2991/icaiees-13.2013.30
DO  - 10.2991/icaiees-13.2013.30
ID  - Yu2013/12
ER  -