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Time-aware recommender systems: a comprehensive survey and analysis of existing evaluation protocols
TLDR
A comprehensive survey and analysis of the state of the art on time-aware recommender systems (TARS), and proposes a methodological description framework aimed to make the evaluation process fair and reproducible.
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Second workshop on information heterogeneity and fusion in recommender systems (HetRec2011)
TLDR
This work states that information heterogeneity can indeed be identified in any of the pillars of a recommender system: the modeling of user preferences, the description of resource contents, the modeling and exploitation of the context in which recommendations are made, and the characteristics of the suggested resource lists.
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Personalizing Web Search with Folksonomy-Based User and Document Profiles
TLDR
This paper proposes to represent a user profile in terms of social tags, manually provided by users in folksonomy systems to describe, categorize and organize items of interest, and investigates a number of novel techniques that exploit the users’ social tags to re-rank results obtained with a Web search engine.
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Alleviating the new user problem in collaborative filtering by exploiting personality information
The new user problem in recommender systems is still challenging, and there is not yet a unique solution that can be applied in any domain or situation. In this paper we analyze viable solutions to…
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An empirical comparison of social, collaborative filtering, and hybrid recommenders
TLDR
A coverage metric is proposed that uncovers and compensates for the incompleteness of performance evaluations based only on precision and is used together with precision metrics in an empirical comparison of several social, collaborative filtering, and hybrid recommenders.
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A study of heterogeneity in recommendations for a social music service
TLDR
The obtained results show that, in Last.fm, social tagging and explicit social networking information provide effective and heterogeneous item recommendations, and give first insights on the feasibility of exploiting the above non performance recommendation characteristics by hybrid approaches.
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Categorising social tags to improve folksonomy-based recommendations
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Cross-domain recommender systems : A survey of the State of the Art
TLDR
This paper provides a formal statement of the problem, a review of the state of the art, and establishes a general taxonomy that let us to better characterize, categorize and compare the revised work.
A comparative study of heterogeneous item recommendations in social systems
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Semantically enhanced Information Retrieval: An ontology-based approach
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