Add to ORKGThis research is focused on understanding user preferences for "my account"-based recommendations of library content. By interviewing users we have explored user attitudes about three areas of recommendation services; including 1) eliciting preferences for recommendation, 2) displaying recommendations, and 3) revising recommendations based on results. User interviews indicated a need for crafting recommender services in library settings with transparent functionality. Users requested that system designers make clear how recommendations are designed and provided. Further findings indicated a desire to use recommender systems to explore interdisciplinary research domains that have otherwise not been considered.Ope
In recent years, the university libraries in China have acquired increasingly abundant electronic re...
This chapter focuses on technologies of personalization. It analyses the functioning and assumptions...
Recommender systems are tools for interacting with large and complex information spaces. They provid...
A personalized account-based recommender was developed in the University of Illinois Library's mobil...
With research funding from the University of Illinois Campus Research Board, a personalized account-...
Recommender systems (RS) have actively been implemented in many domains. Control mechanisms have bee...
A recommender system is a Web technology that proactively suggests items of interest to users based ...
Personalized recommender systems aim to assist users in retrieving and accessing interesting items b...
On many of today's most popular Internet service platforms, users are confronted with a seemingly en...
We outline the history of recommender systems from their roots in information retrieval and filterin...
Recommender systems attempt to reduce information overload and retain customers by selecting a subse...
This paper aims to introduce a machine learning-based “My Account” recommender for implementation in...
As a major research interest, the Recommender Systems (RS) has evolved to help consumers locate prod...
Traditional websites have long relied on users revealing their preferences explicitly through direct...
Recommender systems typically use collaborative filtering: information from your preferences (i.e. y...
In recent years, the university libraries in China have acquired increasingly abundant electronic re...
This chapter focuses on technologies of personalization. It analyses the functioning and assumptions...
Recommender systems are tools for interacting with large and complex information spaces. They provid...
A personalized account-based recommender was developed in the University of Illinois Library's mobil...
With research funding from the University of Illinois Campus Research Board, a personalized account-...
Recommender systems (RS) have actively been implemented in many domains. Control mechanisms have bee...
A recommender system is a Web technology that proactively suggests items of interest to users based ...
Personalized recommender systems aim to assist users in retrieving and accessing interesting items b...
On many of today's most popular Internet service platforms, users are confronted with a seemingly en...
We outline the history of recommender systems from their roots in information retrieval and filterin...
Recommender systems attempt to reduce information overload and retain customers by selecting a subse...
This paper aims to introduce a machine learning-based “My Account” recommender for implementation in...
As a major research interest, the Recommender Systems (RS) has evolved to help consumers locate prod...
Traditional websites have long relied on users revealing their preferences explicitly through direct...
Recommender systems typically use collaborative filtering: information from your preferences (i.e. y...
In recent years, the university libraries in China have acquired increasingly abundant electronic re...
This chapter focuses on technologies of personalization. It analyses the functioning and assumptions...
Recommender systems are tools for interacting with large and complex information spaces. They provid...