A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf
.
User Knowledge and Search Goals in Information Retrieval: A Benchmark and Study on the Evolution of Users' Knowledge Gain
2021
Biennial Conference on Design of Experimental Search & Information Retrieval Systems
This abstract presents an Information Retrieval framework that personalises results based on the user's knowledge and search goals. The framework utilises the content of the pages visited by the user to represent his/her knowledge, and a set of questions/statements the user wishes to answer to represent his/her search goals. In the absence of related datasets and benchmarks, we propose a methodology to evaluate the framework.
dblp:conf/desires/Zein21
fatcat:y6sm4qagfrdkzfvwldgh7j3qce