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» Similarity Measurement in Context
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ICWSM
2009
15 years 4 months ago
Content Based Recommendation and Summarization in the Blogosphere
This paper presents a stochastic graph based method for recommending or selecting a small subset of blogs that best represents a much larger set. within a certain topic. Each blog...
Ahmed Hassan, Dragomir R. Radev, Junghoo Cho, Amru...
AH
2008
Springer
16 years 1 months ago
Locally Adaptive Neighborhood Selection for Collaborative Filtering Recommendations
Abstract. User-to-user similarity is a fundamental component of Collaborative Filtering (CF) recommender systems. In user-to-user similarity the ratings assigned by two users to a ...
Linas Baltrunas, Francesco Ricci
MSV
2004
15 years 8 months ago
MABAC - Matrix Based Clustering Algorithm
Clustering is a prominent method in the data mining field. It is a discovery process that groups data such that intra cluster similarity is maximized and the inter cluster similar...
Yonghui Chen, Alan P. Sprague, Kevin D. Reilly
DMSN
2010
ACM
15 years 7 months ago
Provenance-based trustworthiness assessment in sensor networks
As sensor networks are being increasingly deployed in decisionmaking infrastructures such as battlefield monitoring systems and SCADA(Supervisory Control and Data Acquisition) sys...
Hyo-Sang Lim, Yang-Sae Moon, Elisa Bertino
DSS
2008
99views more  DSS 2008»
15 years 6 months ago
A graphical shopping interface based on product attributes
Most recommender systems present recommended products in lists to the user. By doing so, much information is lost about the mutual similarity between recommended products. We prop...
Martijn Kagie, Michiel C. van Wezel, Patrick J. F....