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4,229
MATRIX FACTORIZATION TECHNIQUES FOR RECOMMENDER SYSTEMS
- IEEE COMPUTER
, 2009
"... As the Netflix Prize competition has demonstrated, matrix factorization models are superior to classic nearest-neighbor techniques for producing product recommendations, allowing the incorporation of additional information such as implicit feedback, temporal effects, and confidence levels. Modern co ..."
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Cited by 593 (4 self)
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profiles might include demographic information or answers provided on a suitable questionnaire. The profiles allow programs to associate users with matching products. Of course, content-based strategies require gathering external information that might not be available or easy to collect. A known
The Cornerstones of Competitive Advantage: A Resource Based View,
- Strategic Management Journal
, 1993
"... JSTOR is a not-for-profit service that helps scholars, researchers, and students discover, use, and build upon a wide range of content in a trusted digital archive. We use information technology and tools to increase productivity and facilitate new forms of scholarship. For more information about J ..."
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Cited by 978 (1 self)
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JSTOR is a not-for-profit service that helps scholars, researchers, and students discover, use, and build upon a wide range of content in a trusted digital archive. We use information technology and tools to increase productivity and facilitate new forms of scholarship. For more information about
Answering the Skeptics: Yes, Standard Volatility Models Do Provide Accurate Forecasts
"... Volatility permeates modern financial theories and decision making processes. As such, accurate measures and good forecasts of future volatility are critical for the implementation and evaluation of asset and derivative pricing theories as well as trading and hedging strategies. In response to this, ..."
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Cited by 561 (45 self)
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volatility persistence. Meanwhile, when judged by standard forecast evaluation criteria, based on the squared or absolute returns over daily or longer forecast horizons, standard volatility models provide seemingly poor forecasts. The present paper demonstrates that, contrary to this contention
Quantifying the effect of content-based transport strategies for online role playing games
- in Proceedings of ACM NetGames 2008 (Poster
, 2008
"... The QoS requirements of game messages may differ because of the latter’s intrinsic characteristics. In this paper, we propose three content-based strategies for quantifying the effects of different QoS levels. The strategies assign appro-priate QoS requirements for game messages based on our analysi ..."
Abstract
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Cited by 1 (0 self)
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The QoS requirements of game messages may differ because of the latter’s intrinsic characteristics. In this paper, we propose three content-based strategies for quantifying the effects of different QoS levels. The strategies assign appro-priate QoS requirements for game messages based on our
A survey on visual surveillance of object motion and behaviors
- IEEE Transactions on Systems, Man and Cybernetics
, 2004
"... Abstract—Visual surveillance in dynamic scenes, especially for humans and vehicles, is currently one of the most active research topics in computer vision. It has a wide spectrum of promising applications, including access control in special areas, human identification at a distance, crowd flux stat ..."
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Cited by 439 (6 self)
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-dimensional tracking, a combination of motion analysis and biometrics, anomaly detection and behavior prediction, content-based retrieval of surveillance videos, behavior understanding and natural language description, fusion of information from multiple sensors, and remote surveillance. Index Terms
Locality-Aware Request Distribution in Cluster-based Network Servers
, 1998
"... We consider cluster-based network servers in which a front-end directs incoming requests to one of a number of back-ends. Specifically, we consider content-based request distribution: the front-end uses the content requested, in addition to information about the load on the back-end nodes, to choose ..."
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Cited by 327 (21 self)
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for certain types of requests. As a specific policy for content-based request distribution, we introduce a simple, practical strategy for locality-aware request distribution (LARD). With LARD, the front-end distributes incoming requests in a manner that achieves high locality in the back-ends' main
Sampling strategies for bag-of-features image classification
- In Proc. ECCV
, 2006
"... Abstract. Bag-of-features representations have recently become popular for content based image classification owing to their simplicity and good performance. They evolved from texton methods in texture analysis. The basic idea is to treat images as loose collections of independent patches, sampling ..."
Abstract
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Cited by 266 (14 self)
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Abstract. Bag-of-features representations have recently become popular for content based image classification owing to their simplicity and good performance. They evolved from texton methods in texture analysis. The basic idea is to treat images as loose collections of independent patches, sampling
Generic Constraints for Content-Based Publish/Subscribe
- Proceedings of the 6th International Conference on Cooperative Information Systems (CoopIS ’01), volume 2172 of LNCS
, 2001
"... Publish/subscribe interaction enables the loosely coupled exchange of asynchronous notifications. Matching notifications to subscriptions and routing notifications from producers to interested consumers are the main problems in large-scale publish/subscribe systems. Content-based selection provides ..."
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Cited by 53 (7 self)
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Publish/subscribe interaction enables the loosely coupled exchange of asynchronous notifications. Matching notifications to subscriptions and routing notifications from producers to interested consumers are the main problems in large-scale publish/subscribe systems. Content-based selection provides
Audio Content-Based Music Retrieval
- Multimodal Music Processing
, 2012
"... The rapidly growing corpus of digital audio material requires novel retrieval strategies for exploring large music collections. Traditional retrieval strategies rely on metadata that describe the actual audio content in words. In the case that such textual descriptions are not available, one require ..."
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Cited by 4 (1 self)
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requires content-based retrieval strategies which only utilize the raw audio material. In this contribution, we discuss content-based retrieval strategies that follow the query-by-example paradigm: given an audio query, the task is to retrieve all documents that are somehow similar or related to the query
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