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Personalised information retrieval: survey and classification
Abstract Information Retrieval (IR) systems assist users in finding information from the
myriad of information resources available on the Web. A traditional characteristic of IR …
myriad of information resources available on the Web. A traditional characteristic of IR …
Social networks and information retrieval, how are they converging? A survey, a taxonomy and an analysis of social information retrieval approaches and platforms
MR Bouadjenek, H Hacid, M Bouzeghoub - Information Systems, 2016 - Elsevier
There is currently a number of research work performed in the area of bridging the gap
between Information Retrieval (IR) and Online Social Networks (OSN). This is mainly done …
between Information Retrieval (IR) and Online Social Networks (OSN). This is mainly done …
[HTML][HTML] Understanding smart education continuance intention in a delayed benefit context: An integration of sensory stimuli, UTAUT, and flow theory
B Gao - Acta Psychologica, 2023 - Elsevier
Smart education is a combination of AI and education, and its benefits are delayed. Existing
research lacks an understanding of smart education continuance intention in the context of …
research lacks an understanding of smart education continuance intention in the context of …
Neural information retrieval: At the end of the early years
KD Onal, Y Zhang, IS Altingovde, MM Rahman… - Information Retrieval …, 2018 - Springer
A recent “third wave” of neural network (NN) approaches now delivers state-of-the-art
performance in many machine learning tasks, spanning speech recognition, computer …
performance in many machine learning tasks, spanning speech recognition, computer …
Social recommender systems
The goal of this tutorial is to expose participants to the current research on social
recommender systems (ie, recommender systems for the social web). Participants will …
recommender systems (ie, recommender systems for the social web). Participants will …
A sentence is known by the company it keeps: improving legal document summarization using deep clustering
The appropriate understanding and fast processing of lengthy legal documents are
computationally challenging problems. Designing efficient automatic summarization …
computationally challenging problems. Designing efficient automatic summarization …
Expert Cloud: A Cloud-based framework to share the knowledge and skills of human resources
NJ Navimipour, AM Rahmani, AH Navin… - Computers in Human …, 2015 - Elsevier
Human resources (HRs) as the most important asset of any organizations play a significant
role in their success; but, HR virtualization and sharing her/his knowledge and skills was not …
role in their success; but, HR virtualization and sharing her/his knowledge and skills was not …
Recommending based on implicit feedback
Recommender systems have shown to be valuable tools for filtering, ranking, and discovery
in a variety of application domains such as e-commerce, media repositories or document …
in a variety of application domains such as e-commerce, media repositories or document …
Inferring the demographics of search users: Social data meets search queries
Knowing users' views and demographic traits offers a great potential for personalizing web
search results or related services such as query suggestion and query completion. Such …
search results or related services such as query suggestion and query completion. Such …
Multiple social network learning and its application in volunteerism tendency prediction
We are living in the era of social networks, where people throughout the world are
connected and organized by multiple social networks. The views revealed by different social …
connected and organized by multiple social networks. The views revealed by different social …