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733
A comparative study of heterogeneous item recommendations in social systems
- INF. SCI
"... While recommendation approaches exploiting different input sources have started to proliferate in the literature, an explicit study of the effect of the combination of heterogeneous inputs is still missing. On the other hand, in this context there are sides to recommendation quality requiring furthe ..."
Abstract
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Cited by 5 (0 self)
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further characterisation and methodological research –a gap that is acknowledged in the field. We present a comparative study on the influence that different types of information available in social systems have on item recommendation. Aiming to identify which sources of user interest evidence –tags
Implicit interest indicators
- IN PROCEEDINGS OF IUI
, 2001
"... Recommender systems provide personalized suggestions about items that users will find interesting. Typically, recommender systems require a user interface that can "intelligently" determine the interest of a user and use this information to make suggestions. The common solution, "expl ..."
Abstract
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Cited by 231 (2 self)
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Recommender systems provide personalized suggestions about items that users will find interesting. Typically, recommender systems require a user interface that can "intelligently" determine the interest of a user and use this information to make suggestions. The common solution, "
Recommending collaboration with social networks: a comparative evaluation
- In Proceedings of the SIGCHI conference on Human factors in computing systems
, 2003
"... Studies of information seeking and workplace collaboration often find that social relationships are a strong factor in determining who collaborates with whom. Social networks provide one means of visualizing existing and potential interaction in organizational settings. Groupware designers are using ..."
Abstract
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Cited by 70 (3 self)
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are using social networks to make systems more sensitive to social situations and guide users toward effective col-laborations. Yet, the implications of embedding social net-works in systems have not been systematically studied. This paper details an evaluation of two different social networks used in a
A Study of Heterogeneity in Recommendations for a Social Music Service
, 2010
"... We present a preliminarily study on the influence of different sources of information in Web 2.0 systems on recommendation. Aiming to identify which are the sources of information (ratings, tags, social contacts, etc.) most valuable for recommendation, we evaluate a number of content-based, collabor ..."
Abstract
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Cited by 13 (3 self)
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We present a preliminarily study on the influence of different sources of information in Web 2.0 systems on recommendation. Aiming to identify which are the sources of information (ratings, tags, social contacts, etc.) most valuable for recommendation, we evaluate a number of content
Learning to Recommend with Social Trust Ensemble
"... As an indispensable technique in the field of Information Filtering, Recommender System has been well studied and developed both in academia and in industry recently. However, most of current recommender systems suffer the following problems: (1) The large-scale and sparse data of the user-item matr ..."
Abstract
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Cited by 76 (7 self)
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As an indispensable technique in the field of Information Filtering, Recommender System has been well studied and developed both in academia and in industry recently. However, most of current recommender systems suffer the following problems: (1) The large-scale and sparse data of the user-item
A model of a trust-based recommendation system on a social network. Autonomous Agents and Multi-Agent Systems
, 2008
"... In this paper, we present a model of a trust-based recommendation system on a social network. The idea of the model is that agents use their social network to reach information and their trust relationships to filter it. We investigate how the dynamics of trust among agents affect the performance of ..."
Abstract
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Cited by 75 (0 self)
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of the system by comparing it to a frequency-based recommendation system. Furthermore, we identify the impact of network density, preference heterogeneity among agents, and knowledge sparseness to be crucial factors for the performance of the system. The system self-organises in a state with performance near
An empirical study of speed and communication in globally distributed software development
- IEEE Transactions on Software Engineering
, 2003
"... Abstract—Global software development is rapidly becoming the norm for technology companies. Previous qualitative research suggests that distributed development may increase development cycle time for individual work items (modification requests). We use both data from the source code change manageme ..."
Abstract
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Cited by 140 (10 self)
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management system and survey data to model the extent of delay in a distributed software development organization and explore several possible mechanisms for this delay. One key finding is that distributed work items appear to take about two and one-half times as long to complete as similar items where all
HeterRank: Addressing Information Heterogeneity for Personalized Recommendation in Social Tagging Systems
, 2012
"... A social tagging system provides users an effective way to collaboratively annotate and organize items with their own tags. A social tagging system contains heterogenous information like users ’ tagging behaviors, social networks, tag semantics and item profiles. All the heterogenous information hel ..."
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A social tagging system provides users an effective way to collaboratively annotate and organize items with their own tags. A social tagging system contains heterogenous information like users ’ tagging behaviors, social networks, tag semantics and item profiles. All the heterogenous information
Social recommendation with interpersonal influence
- In Proceedings of the 19th European Conference on Artificial Intelligence (ECAI 2010
, 2010
"... Abstract. Social recommendation, that an individual recommends an item to another, has gained popularity and success in web appli-cations such as online sharing and shopping services. It is largely different from a traditional recommendation where an automatic sys-tem recommends an item to a user. I ..."
Abstract
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Cited by 4 (2 self)
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Abstract. Social recommendation, that an individual recommends an item to another, has gained popularity and success in web appli-cations such as online sharing and shopping services. It is largely different from a traditional recommendation where an automatic sys-tem recommends an item to a user
Recommending Collaboration with Social Networks: A Comparative Evaluation
"... Studies of information seeking and workplace collaboration often find that social relationships are a strong factor in determining who collaborates with whom. Social networks provide one means of visualizing existing and potential interaction in organizational settings. Groupware designers are using ..."
Abstract
- Add to MetaCart
are using social networks to make systems more sensitive to social situations and guide users toward effective collaborations. Yet, the implications of embedding social networks in systems have not been systematically studied. This paper details an evaluation of two different social networks used in a
Results 1 - 10
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733
