Supporting Knowledge Gain in Web Search Sessions

Speaker:  Ujwal Gadiraju – Delft, Netherlands
Topic(s):  Information Systems, Search, Information Retrieval, Database Systems, Data Mining, Data Science

Abstract

More than half of the world’s population has access to the Internet today. Satisfying one’s information needs has never been easier and more ubiquitous. We can catch ourselves turning to web search with regularity to find information, answer questions, plan travels and explore a plethora of diverse content. During the search and consumption of information on the web, it is known that people can learn through the acquisition of new knowledge or modification of their existing knowledge. Recent work in the field of ‘search as learning’, has explored how users’ knowledge evolves through an informational search session, where the objective of a user is to learn about a given topic. In this talk, I will discuss recent work that aims to enhance the understanding of knowledge gained by users in informational search sessions. Being able to estimate the knowledge state of users during their interactions with search systems will allow us to construct and improve learning experiences for the users. For example, learners can be served content that is suitable for their current knowledge state. I will reflect on the prospects of optimizing web search to satisfy learning related objectives.

About this Lecture

Number of Slides:  50
Duration:  60 minutes
Languages Available:  English
Last Updated: 

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