Abstract
Currently, implementations of the Collaborative Filtering (CF) algorithm are mostly centralized. Hence, information about the users, for example,
product ratings, is concentrated in a single location. In this work we propose a
novel approach to overcome the inherent limitations of CF (sparsity of data and
cold start) by exploiting multiple distributed information repositories. These
may belong to a single domain or to different domains. To facilitate our approach, we used LoudVoice, a multi-agent communication infrastructure that
can connect similar information repositories into a single virtual structure
called "implicit organization". Repositories are partitioned between such organizations according to geographical or topical criteria. We employ CF to
generate user-personalized recommendations over different data distribution
policies. Experimental results demonstrate that topical distribution outperforms
geographical distribution. We also show that in geographical distribution using
filtering based on social characteristics of the users improves the quality of recommendations.
product ratings, is concentrated in a single location. In this work we propose a
novel approach to overcome the inherent limitations of CF (sparsity of data and
cold start) by exploiting multiple distributed information repositories. These
may belong to a single domain or to different domains. To facilitate our approach, we used LoudVoice, a multi-agent communication infrastructure that
can connect similar information repositories into a single virtual structure
called "implicit organization". Repositories are partitioned between such organizations according to geographical or topical criteria. We employ CF to
generate user-personalized recommendations over different data distribution
policies. Experimental results demonstrate that topical distribution outperforms
geographical distribution. We also show that in geographical distribution using
filtering based on social characteristics of the users improves the quality of recommendations.
| Original language | English |
|---|---|
| Number of pages | 10 |
| State | Published - 2005 |
| Event | Workshop on Decentralized Agent-Based and Social Approaches to User Modeling, in conjunction with UM 2005 - Edinburgh, Scotland Duration: 25 Jul 2005 → … |
Conference
| Conference | Workshop on Decentralized Agent-Based and Social Approaches to User Modeling, in conjunction with UM 2005 |
|---|---|
| Period | 25/07/05 → … |