  Information retrieval (IR) and recommender systems (RS) have been employed
for addressing search tasks executed during literature review and the overall
scholarly communication lifecycle. Majority of the studies have concentrated on
algorithm design for improving the accuracy and usefulness of these systems.
Contextual elements related to the scholarly tasks have been largely ignored.
In this paper, we propose a framework called the Scientific Paper Recommender
and Retrieval Framework (SPRRF) that combines aspects of user role modeling and
user-interface features with IR/RS components. The framework is based on eight
emergent themes identified from participants feedback in a user evaluation
study conducted with a prototype assistive system. 119 researchers participated
in the study for evaluating the prototype system that provides recommendations
for two literature review and one manuscript writing tasks. This holistic
framework is meant to guide future studies in this area.
