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A survey of recommendation systems: recommendation models, techniques, and application fields
This paper reviews the research trends that link the advanced technical aspects of
recommendation systems that are used in various service areas and the business aspects of …
recommendation systems that are used in various service areas and the business aspects of …
[HTML][HTML] Recommender systems based on collaborative filtering using review texts—a survey
In e-commerce websites and related micro-blogs, users supply online reviews expressing
their preferences regarding various items. Such reviews are typically in the textual …
their preferences regarding various items. Such reviews are typically in the textual …
News recommender systems–Survey and roads ahead
More and more people read the news online, eg, by visiting the websites of their favorite
newspapers or by navigating the sites of news aggregators. However, the abundance of …
newspapers or by navigating the sites of news aggregators. However, the abundance of …
Multimodal trust based recommender system with machine learning approaches for movie recommendation
Recommender system (RS) are a type of suggestion to the information overload problem
suffered by user of websites that allow the rating of particular item. The movie RS are one of …
suffered by user of websites that allow the rating of particular item. The movie RS are one of …
Recommender systems in technology enhanced learning
Technology enhanced learning (TEL) aims to design, develop and test socio-technical
innovations that will support and enhance learning practices of both individuals and …
innovations that will support and enhance learning practices of both individuals and …
A hybrid recommendation system based on profile expansion technique to alleviate cold start problem
Recommender systems are one of the information filtering tools which can be employed to
find interest items of users. Collaborative filtering is one of the recommendation methods to …
find interest items of users. Collaborative filtering is one of the recommendation methods to …
Improving collaborative filtering recommender system results and performance using genetic algorithms
This paper presents a metric to measure similarity between users, which is applicable in
collaborative filtering processes carried out in recommender systems. The proposed metric …
collaborative filtering processes carried out in recommender systems. The proposed metric …
AI-based mobile context-aware recommender systems from an information management perspective: Progress and directions
Abstract In the Artificial Intelligence (AI) field, and particularly within the area of Machine
Learning (ML), recommender systems have attracted significant research attention. These …
Learning (ML), recommender systems have attracted significant research attention. These …
A comparison of collaborative-filtering recommendation algorithms for e-commerce
Collaborative filtering is one of the most widely adopted and successful recommendation
approaches. Unlike approaches based on intrinsic consumer and product characteristics …
approaches. Unlike approaches based on intrinsic consumer and product characteristics …
Collaborative filtering based on collaborative tagging for enhancing the quality of recommendation
HN Kim, AT Ji, I Ha, GS Jo - Electronic Commerce Research and …, 2010 - Elsevier
We propose a collaborative filtering method to provide an enhanced recommendation
quality derived from user-created tags. Collaborative tagging is employed as an approach in …
quality derived from user-created tags. Collaborative tagging is employed as an approach in …