Personalization of information retrieval (PIR) is aimed at tailoring a search toward individual
users and user groups by taking account of additional information about users besides their …

The unprecedented growth of the Internet, its pervasive accessibility, and ease of use have
increased students' dependencies on the Web for quick search and retrieval of learning …

With the rapid development of the Internet and the continuous progress of computer science
and technology, Internet-based online trading has developed rapidly and improved the …

In this study, we concentrate on analyzing and building the dynamical user profiling to
describe users' multi-dimensional features and properties, in order to assist the …

With a inundating of information in WWW (World Wide Web) users are often failed to retrieve
search result in context of their interest through existing search engines. So the …

Internet-based services process and store numerous search queries around the globe. The
use of web search engines, such as Bing and Google, as well as personal assistants (eg …

Web search engines (eg, Google, Bing, Qwant, and DuckDuckGo) may process a myriad of
search queries per second. According to Internet Live Stats, Google handles more than two …

Information on the web is increasing at an enormous speed. Every user has a distinct
background and aspecific goal when searching for information on the web. Present search …

In this paper, we propose a method for optimizing search engine results based on user
interaction. This method generates different search results mainly through the user's …

Research on collaborative information retrieval (CIR) has shown positive impacts of
collaboration on retrieval effectiveness in the case of complex and/or exploratory tasks. The …