A Situational Resource Rating System
- Submitted by: libi96
- Views: 1100
- Category: History: Religion
- Date Submitted: 01/28/2011 01:15 AM
- Pages: 4
- Report this Essay
A Situational Resource Rating System
Thollot, R. Aufaure, M.-A.
SAP BusinessObjects, Ecole Centrale Paris, Paris, France
This paper appears in: Advances in Databases Knowledge and Data Applications (DBKDA), 2010 Second International Conference on
Issue Date: 11-16 April 2010
On page(s): 229 - 234
Location: Menuires
Print ISBN: 978-1-4244-6081-6
INSPEC Accession Number: 11360621
Digital Object Identifier: 10.1109/DBKDA.2010.31
Date of Current Version: 03 June 2010
ABSTRACT
Recommendation technologies are considered a major technological trend in both industrial and academic environments. This growing interest was highlighted by, e.g., the Netflix prize which generated an intense competition. Recommender systems are crucial to support users and help them by suggesting resources relevant at a given instant. On the other hand, these systems are a core piece of e-commerce web sites, since they aim at generating more sales by encouraging users to buy more items. However, recommender systems are often designed to work with very specific types of resources, and they hardly take into account the current user's situation. In this paper, we present our approach to augment an existing recommender system with a situation model. On top of this model, we define a situational interest measure to estimate a user's interest for a resource, which we demonstrate with a prototypical implementation.
`Based on time series similarity matching algorithm for earthquake prediction research
This paper appears in: Advanced Computer Theory and Engineering (ICACTE), 2010 3rd International Conference on
Issue Date: 20-22 Aug. 2010
On page(s): V4-57 - V4-60
Location: Chengdu
ISSN: 2154-7491
Print ISBN: 978-1-4244-6539-2
INSPEC Accession Number: 11537354
Digital Object Identifier: 10.1109/ICACTE.2010.5579640
Date of Current Version: 20 September 2010
ABSTRACT
On the basis of analyzing the newly time sequence research achievement nowadays, several...
Thollot, R. Aufaure, M.-A.
SAP BusinessObjects, Ecole Centrale Paris, Paris, France
This paper appears in: Advances in Databases Knowledge and Data Applications (DBKDA), 2010 Second International Conference on
Issue Date: 11-16 April 2010
On page(s): 229 - 234
Location: Menuires
Print ISBN: 978-1-4244-6081-6
INSPEC Accession Number: 11360621
Digital Object Identifier: 10.1109/DBKDA.2010.31
Date of Current Version: 03 June 2010
ABSTRACT
Recommendation technologies are considered a major technological trend in both industrial and academic environments. This growing interest was highlighted by, e.g., the Netflix prize which generated an intense competition. Recommender systems are crucial to support users and help them by suggesting resources relevant at a given instant. On the other hand, these systems are a core piece of e-commerce web sites, since they aim at generating more sales by encouraging users to buy more items. However, recommender systems are often designed to work with very specific types of resources, and they hardly take into account the current user's situation. In this paper, we present our approach to augment an existing recommender system with a situation model. On top of this model, we define a situational interest measure to estimate a user's interest for a resource, which we demonstrate with a prototypical implementation.
`Based on time series similarity matching algorithm for earthquake prediction research
This paper appears in: Advanced Computer Theory and Engineering (ICACTE), 2010 3rd International Conference on
Issue Date: 20-22 Aug. 2010
On page(s): V4-57 - V4-60
Location: Chengdu
ISSN: 2154-7491
Print ISBN: 978-1-4244-6539-2
INSPEC Accession Number: 11537354
Digital Object Identifier: 10.1109/ICACTE.2010.5579640
Date of Current Version: 20 September 2010
ABSTRACT
On the basis of analyzing the newly time sequence research achievement nowadays, several...