In the modern society, Internet provides massive amounts of heterogeneous information,
hence Information overload has become an ubiquitous issue. In this paper, we conduct a …

Recommender systems could be used to help users in their access processes to relevant
information. Hybrid recommender systems represent a promising solution for multiple …

To carry out effective teaching/learning processes, lecturers in a variety of educational
institutions frequently need support. They therefore resort to advice from more experienced …

The method of grey target decision making based on a multiple stages linguistic label is
extended in this research. Firstly, the multi-granularity linguistic term sets are transformed …

Social networks are Web systems that enable and encourage a collaborative work, making it
possible to exchange information between users, which makes them especially useful in …

Purpose Digital libraries and social media are two sources of online information with
different characteristics. The purpose of this paper is to integrate self-efficacy into the …

Purpose–The purpose of this paper is to explore the antecedents of information seeking in
digital libraries from the perspectives of the Technology Acceptance Model and flow …

Self-efficacy in getting information, which is defined as individuals' judgments of their own
capabilities to search, compare and evaluate information they need, is critical given the …

Recommendation engines are one of the “discovery” products built into integrated library
systems. These are a subclass of enterprise systems designed specifically for public and …

The aim of this paper is to present a new mobile group decision making model to deal with
heterogeneous information and changeable decision contexts. This model takes into …