Personalised information retrieval: survey and classification

MR Ghorab, D Zhou, A O'connor, V Wade - User Modeling and User …, 2013 - Springer
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 …

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 …

Social media recommendation based on people and tags

I Guy, N Zwerdling, I Ronen, D Carmel… - Proceedings of the 33rd …, 2010 - dl.acm.org
We study personalized item recommendation within an enterprise social media application
suite that includes blogs, bookmarks, communities, wikis, and shared files …

Social recommender systems

I Guy, D Carmel - Proceedings of the 20th international conference …, 2011 - dl.acm.org
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 …

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 …

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 …

A sentence is known by the company it keeps: Improving Legal Document Summarization Using Deep Clustering

D Jain, MD Borah, A Biswas - Artificial Intelligence and Law, 2024 - Springer
The appropriate understanding and fast processing of lengthy legal documents are
computationally challenging problems. Designing efficient automatic summarization …

[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 …

Inferring the demographics of search users: Social data meets search queries

B Bi, M Shokouhi, M Kosinski, T Graepel - Proceedings of the 22nd …, 2013 - dl.acm.org
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 …

Recommending based on implicit feedback

D Jannach, L Lerche, M Zanker - Social information access: systems and …, 2018 - Springer
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 …