Search-In-Synchrony: Personalizing Web Search with Cognitive User Profile Model

This study concentrates oil adapting the user profile model (UPM) based oil individual's continuous interaction with preferred search engines. UPM re-ranks the retrieved information from World Wide Web (WWW) to provide effective personalization for a given search query. The temporal adaptation of UPM is considered as a one-to-one socio-interaction between the dynamics of WWW and cognitive information seeking behavior of the user. The dynamics of WWW and consensus relevant ranking of information is a collaborative effect of inter-connected users, which makes it difficult to analyze in-parts. The proposed system is named its Search-in-Synchrony and a preliminary study is done on user group with background in computational neuroscience. Human-agent interaction (HAI) can implicitly model these dynamics. Hence, a primary attempt to converge the two fields is highlighted - HAI and statistically learned UPM to incorporate cognitive abilities to search agents.