Personalized Web Search Using Emotional Features - Availability, Reliability, and Security in Information Systems and HCI Access content directly
Conference Papers Year : 2013

Personalized Web Search Using Emotional Features

Jianwei Zhang
  • Function : Author
  • PersonId : 1006229
Katsutoshi Minami
  • Function : Author
  • PersonId : 1006230
Yukiko Kawai
  • Function : Author
  • PersonId : 969921
Yuhki Shiraishi
  • Function : Author
  • PersonId : 1006231
Tadahiko Kumamoto
  • Function : Author
  • PersonId : 1006232


Re-ranking and re-retrieval of search results are useful techniques for satisfying users’ search intentions, since current search engines cannot always return user-desired pages at the top ranks. In this paper, we propose a system for personalized Web search considering users’ emotional aspects. Given a query topic, the system presents the major emotion tendency on this topic that search results returned from search engines are reflecting. The system also enables users to specify the polarities and strengths of their emotions (e.g., happy or sad, glad or angry, peaceful or strained) on this topic and offers a re-ranking list of initial search results based on the similarity of emotions. Particularly, the system can automatically obtain Web pages with minor emotion tendency on the query topic by extracting sub-queries with opposite emotions and conducting a re-retrieval. Experimental evaluations show the re-ranking and the re-retrieval achieve encouraging search results in comparison with initial search results.
Fichier principal
Vignette du fichier
978-3-642-40511-2_6_Chapter.pdf (936.48 Ko) Télécharger le fichier
Origin : Files produced by the author(s)

Dates and versions

hal-01506794 , version 1 (12-04-2017)




  • HAL Id : hal-01506794 , version 1


Jianwei Zhang, Katsutoshi Minami, Yukiko Kawai, Yuhki Shiraishi, Tadahiko Kumamoto. Personalized Web Search Using Emotional Features. 1st Cross-Domain Conference and Workshop on Availability, Reliability, and Security in Information Systems (CD-ARES), Sep 2013, Regensburg, Germany. pp.69-83. ⟨hal-01506794⟩
55 View
92 Download


Gmail Facebook X LinkedIn More