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Displaying 1-13 out of 13 total
An Artificial Player for a Language Game
Found in: IEEE Intelligent Systems
By Giovanni Semeraro,Marco de Gemmis,Pasquale Lops,Pierpaolo Basile
Issue Date:September 2012
pp. 36-43
A knowledge infusion process gives a system the linguistic and cultural knowledge—normally the prerogative of human beings—required to play a complex language game.
 
2nd International Workshop on Recommender Systems Meet Databases - RSmeetDB 2012 - Preface
Found in: 2012 23rd International Workshop on Database and Expert Systems Applications (DEXA)
By Giovanni Semeraro,Marco De Gemmis,Pasquale Lops,Markus Zanker
Issue Date:September 2012
pp. xviii
Recommender systems (RS) support users who need personalized access to large collections of data. From a technical perspective, RSs have their origins in different fields such as information filtering and data mining, and they are built using a broad array...
   
SpIteR: A Module for Recommending Dynamic Personalized Museum Tours
Found in: Web Intelligence and Intelligent Agent Technology, IEEE/WIC/ACM International Conference on
By Pierpaolo Basile, Marco de Gemmis, Leo Iaquinta, Pasquale Lops, Cataldo Musto, Fedelucio Narducci, Giovanni Semeraro
Issue Date:September 2009
pp. 584-587
Recommender systems (RSs) proved to make easier the task of accessing relevant information in a broad range of domains. In content-based RSs, preferences on content items expressed by users turned out to be reliable indicators to suggest and filter interes...
 
Introducing Serendipity in a Content-Based Recommender System
Found in: Hybrid Intelligent Systems, International Conference on
By Leo Iaquinta, Marco de Gemmis, Pasquale Lops, Giovanni Semeraro, Michele Filannino, Piero Molino
Issue Date:September 2008
pp. 168-173
Today recommenders are commonly used with various purposes, especially dealing with e-commerce and information filtering tools. Content-based recommenders rely on the concept of similarity between the bought/ searched/ visited item and all the items stored...
 
A Hybrid Content-Collaborative Recommender System Integrated into an Electronic Performance Support System
Found in: Hybrid Intelligent Systems, International Conference on
By Leo Iaquinta, Anna Lisa Gentile, Pasquale Lops, Marco de Gemmis, Giovanni Semeraro
Issue Date:September 2007
pp. 47-52
<p>An Electronic Performance Support System (EPSS) introduces challenges on contextualized and personalized information delivery. Recommender systems aim at delivering and suggesting relevant information according to users preferences, thus EPSSs cou...
 
Human Decision Making and Recommender Systems
Found in: ACM Transactions on Interactive Intelligent Systems (TiiS)
By Alexander Felfernig, Francesco Ricci, Li Chen, Marco de Gemmis, Pasquale Lops, Giovanni Semeraro
Issue Date:October 2013
pp. 1-7
Recommender systems have already proved to be valuable for coping with the information overload problem in several application domains. They provide people with suggestions for items which are likely to be of interest for them; hence, a primary function of...
     
Workshop on recommender systems meet big data & semantic technologies: SeRSy 2013
Found in: Proceedings of the 7th ACM conference on Recommender systems (RecSys '13)
By Giovanni Semeraro, Marco de Gemmis, Ora Lassila, Pasquale Lops, Thomas Lukasiewicz, Tommaso Di Noia
Issue Date:October 2013
pp. 483-484
The primary goal of the workshop is to showcase cutting edge research on the intersection of Recommender Systems and Semantic Technologies, by taking the best of the two worlds. This combination may provide the RecSys community with important scenarios whe...
     
Workshop on human decision making in recommender systems: decisions@RecSys'13
Found in: Proceedings of the 7th ACM conference on Recommender systems (RecSys '13)
By Alexander Felfernig, Francesco Ricci, Giovanni Semeraro, Li Chen, Marco de Gemmis, Martijn C. Willemsen, Pasquale Lops
Issue Date:October 2013
pp. 479-480
A primary function of recommender systems is to help their users to make better choices and decisions. The overall goal of the workshop is to analyse and discuss novel techniques and approaches for supporting effective and efficient human decision making i...
     
A folksonomy-based recommender system for personalized access to digital artworks
Found in: Journal on Computing and Cultural Heritage (JOCCH)
By Cataldo Musto, Fedelucio Narducci, Giovanni Semeraro, Marco De Gemmis, Pasquale Lops
Issue Date:October 2012
pp. 1-22
Museums have recognized the need for supporting visitors in fulfilling a personalized experience when visiting artwork collections, and they have started to adopt recommender systems as a way to meet this requirement. Content-based recommender systems anal...
     
RecSys'12 workshop on human decision making in recommender systems
Found in: Proceedings of the sixth ACM conference on Recommender systems (RecSys '12)
By Alexander Felfernig, Francesco Ricci, Giovanni Semeraro, Marco de Gemmis, Martijn C. Willemsen, Pasquale Lops
Issue Date:September 2012
pp. 347-348
Interacting with a recommender system means to take different decisions such as selecting an item from a recommendation list, selecting a specific item feature value (e.g., camera's size, zoom) as a search criteria, selecting feedback features to be critiq...
     
MARS: a MultilAnguage Recommender System
Found in: Proceedings of the 1st International Workshop on Information Heterogeneity and Fusion in Recommender Systems (HetRec '10)
By Cataldo Musto, Fedelucio Narducci, Giovanni Semeraro, Marco De Gemmis, Pasquale Lops, Pierpaolo Basile
Issue Date:September 2010
pp. 24-31
The exponential growth of the Web is the most influential factor that contributes to the increasing importance of cross-lingual text retrieval and filtering systems. Indeed, relevant information exists in different languages, thus users need to find docume...
     
Knowledge infusion into content-based recommender systems
Found in: Proceedings of the third ACM conference on Recommender systems (RecSys '09)
By Giovanni Semeraro, Marco de Gemmis, Pasquale Lops, Pierpaolo Basile
Issue Date:October 2009
pp. 301-304
Content-based recommender systems try to recommend items similar to those a given user has liked in the past. The basic process consists of matching up the attributes of a user profile, in which preferences and interests are stored, with the attributes of ...
     
Integrating tags in a semantic content-based recommender
Found in: Proceedings of the 2008 ACM conference on Recommender systems (RecSys '08)
By Giovanni Semeraro, Marco de Gemmis, Pasquale Lops, Pierpaolo Basile
Issue Date:October 2008
pp. 1-2
Basic content personalization consists in matching up the attributes of a user profile, in which preferences and interests are stored, with the attributes of a content object. The Web 2.0 (r)evolution and the advent of user generated content have changed t...
     
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