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Folksonomy‐Based Recommender Systems: A State‐of‐the‐Art Review
D Godoy, A Corbellini - International Journal of Intelligent …, 2016 - Wiley Online Library
Collaborative tagging systems, also known as folksonomies, have grown in popularity over
the Web on account of their simplicity to organize several types of content (eg, Web pages …
the Web on account of their simplicity to organize several types of content (eg, Web pages …
Social tagging in recommender systems: a survey of the state-of-the-art and possible extensions
Social tagging systems have grown in popularity over the Web in the last years on account
of their simplicity to categorize and retrieve content using open-ended tags. The increasing …
of their simplicity to categorize and retrieve content using open-ended tags. The increasing …
Personalized attraction recommendation system for tourists through check-in data
Online social networks now play a prominent role in our daily lives and our decisions and
behaviors in many areas. Of particular interest here is the application of social network data …
behaviors in many areas. Of particular interest here is the application of social network data …
Which App? A recommender system of applications in markets: Implementation of the service for monitoring users' interaction
Users face the information overload problem when downloading applications in markets.
This is mainly due to (i) the increasing unmanageable number of applications and (ii) the …
This is mainly due to (i) the increasing unmanageable number of applications and (ii) the …
A new classification framework to evaluate the entity profiling on the web: Past, present and future
Recently, we have witnessed entity profiling (EP) becoming increasingly one of the most
important topics in information extraction, personalized applications, and web data analysis …
important topics in information extraction, personalized applications, and web data analysis …
Exploiting social tagging in a web 2.0 recommender system
AB Barragáns-Martínez, M Rey-López… - IEEE Internet …, 2010 - ieeexplore.ieee.org
Recommender systems help users cope with information overload by using their
preferences to recommend items. To date, most recommenders have employed users' …
preferences to recommend items. To date, most recommenders have employed users' …
Hybrid content and tag-based profiles for recommendation in collaborative tagging systems
Collaborative tagging systems have grown in popularity over the Web in the last years on
account of their simplicity to categorize and retrieve content using open-ended tags. The …
account of their simplicity to categorize and retrieve content using open-ended tags. The …
[PDF][PDF] Extraction of professional interests from social web profiles
Many people share and communicate their private thoughts and opinions via systems like
Facebook and Twitter. In this paper, we analyze if also professional interests of a user can …
Facebook and Twitter. In this paper, we analyze if also professional interests of a user can …
[PDF][PDF] A pattern-matching method for extracting personal information in farsi content
Personal information extraction as a subtask of entity profiling is the process of identifying
and extracting useful and structured information of the focus person named-entity from the …
and extracting useful and structured information of the focus person named-entity from the …
Semantic enhancement of social tagging systems
F Abel, N Henze, D Krause, M Kriesell - Web 2.0 & Semantic Web, 2009 - Springer
Social tagging systems have shown an impressive potential for information discovery and
exploration. Enriched with Semantic Web technologies, they enable to tap valuable …
exploration. Enriched with Semantic Web technologies, they enable to tap valuable …