Novel text summarization techniques for contextual advertising

Giuliano Armano, Alessandro Giuliani

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

Recently, there has been a renewed interest on automatic text summarization techniques. The Internet has caused a continuous growth of information overload, focusing the attention on retrieval and filtering needs. Since digitally stored information is more and more available, users need suitable tools able to select, filter, and extract only relevant information. This chapter concentrates on studying and developing techniques for summarizing Webpages. In particular, the focus is the field of contextual advertising, the task of automatically suggesting ads within the content of a generic Webpage. Several novel text summarization techniques are proposed, comparing them with state of the art techniques and assessing whether the proposed techniques can be successfully applied to contextual advertising. Comparative experimental results are also reported and discussed. Results highlight the improvements of the proposals with respect to well-known text summarization techniques.

Original languageEnglish
Title of host publicationInformation Retrieval and Management
Subtitle of host publicationConcepts, Methodologies, Tools, and Applications
PublisherIGI Global
Pages883-903
Number of pages21
Volume2
ISBN (Electronic)9781522551928
ISBN (Print)1522551913, 9781522551911
DOIs
Publication statusPublished - Jan 5 2018

ASJC Scopus subject areas

  • Computer Science(all)
  • Economics, Econometrics and Finance(all)
  • Business, Management and Accounting(all)

Fingerprint

Dive into the research topics of 'Novel text summarization techniques for contextual advertising'. Together they form a unique fingerprint.

Cite this