In this paper, we introduce a supervised model to predict a user's knowledge state and knowledge gain from features captured during the search sessions. To ...

May 2, 2018 · In this paper, we introduce a supervised model to predict a user's knowledge state and knowledge gain from features captured during the search sessions.

May 2, 2018 · ABSTRACT. Web search is frequently used by people to acquire new knowledge and to satisfy learning-related objectives.

In this paper, we propose a novel approach for predicting user knowledge state and knowledge gain in informational search sessions by taking the knowledge ...

Mar 16, 2021 · In this work, we introduce a novel set of resource-centric features and demonstrate their capacity to significantly improve supervised models.

Prior work has investigated the use of supervised models to predict a user's knowledge gain and knowledge state from user interactions during a search session.

To measure and predict the knowledge gain of users in informational search sessions, we recruited 468 distinct users using crowdsourcing and orchestrated real- ...

Analyzing Knowledge Gain of Users in Informational Search Sessions on the Web ... Learning user interaction models for predicting web search result preferences.

Prior work has investigated the use of supervised models to predict a user's knowledge gain and knowledge state from user interactions during a search session.

Mar 18, 2020 · Analyzing knowl- edge gain of users in informational search sessions on the web. ... Predicting user knowledge gain in informational search ...