Web Information Retrieval

Author:

Cabanac Guillaume1,Chevalier Max2,Chrisment Claude1,Julien Christine1,Soulé-Dupuy Chantal1,Tchienehom Pascaline Laure1

Affiliation:

1. Institut de Recherche en Informatique de Toulouse (IRIT), France

2. Institut de Recherche en Informatique de Toulouse (IRIT), and Laboratoire de Gestion et de Cognition (LGC), France

Abstract

Nowadays, the Web has become the most queried information source. To solve their information needs, individuals can use different types of tools or services like a search engine, for instance. Due to the high amount of information and the diversity of human factors, searching for information requires patience, perseverance, and sometimes luck. To help individuals during this task, search assistants feature adaptive techniques aiming at personalizing retrieved information. Moreover, thanks to the “new Web” (the Web 2.0), personal search assistants are evolving, using social techniques (social networks, sharing-based methods). Let us enter into the Social Web, where everyone collaborates with others in providing their experience, their expertise. This chapter introduces search assistants and underlines their evolution toward Social Information Search Assistants.

Publisher

IGI Global

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. User Models for Adaptive Information Retrieval on the Web;International Journal of Adaptive, Resilient and Autonomic Systems;2012-07

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