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Aggregate Knowledge - LinkSV: Company Summary

Aggregate Knowledge Recommendation Engine Increase your site’s conversions and revenue per visit by giving your users recommendations based on what users before them have done. Get it up and running in less than a day. The Aggregate Knowledge Recommendation Engine looks at the past behavior of people on your site to determine what the best ...

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AKRE - Aggregate Knowledge Recommendation Engine ...

AKRE stands for Aggregate Knowledge Recommendation Engine. AKRE is defined as Aggregate Knowledge Recommendation Engine very rarely. AKRE stands for Aggregate Knowledge Recommendation Engine. Printer friendly. Menu Search "AcronymAttic. Abbreviation to define. Find. Examples: NFL, NASA, PSP, HIPAA.

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Aggregate Knowledge's Content Discovery - How Good is

2008-3-19  It’s the latest in a string of similar deals – Aggregate Knowledge powers “discovery” of both editorial content and product recommendations for over 100 websites, with a particular focus ...

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Aggregate Knowledge raises $5M from Kleiner, on a roll ...

2006-12-10  Aggregate Knowledge is a Menlo Park start-up offering such a recommendation service on a mass scale — to any Web site. But it does Amazon one

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CBS and Aggregate Knowledge Offer Discovery and ...

2013-12-7  In its first step, this partnership between Aggregate Knowledge and CBS Mobile will allow any user visiting the CBS Mobile News web site (wap.cbsnews) to see and receive content recommendations based on what is being viewed, clicked and read -- anonymously and in aggregate -- by mobile users with similar interests.

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CBS and Aggregate Knowledge Partner to Offer First-of-Its ...

2008-3-26  Aggregate Knowledge will initially deploy the Pique Discovery ™ Window to deliver content recommendations for the CBS Mobile news site. CBS Mobile news is one of the most highly-trafficked ...

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Improving aggregate recommendation diversity using

TY - JOUR. T1 - Improving aggregate recommendation diversity using ranking-based techniques. AU - Adomavicius, Gediminas. AU - Kwon, Young Ok. N1 - Funding Information: The research reported in this paper was supported in part by the US National Science Foundation (NSF) grant IIS-0546443.

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Improving Aggregate Recommendation Diversity Using

Improving Aggregate Recommendation Diversity Using Ranking-Based Techniques ... This study contributes with in-depth knowledge of how diversity has been interpreted at operational levels in PSM ...

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Improving Aggregate Recommendation Diversity Using

2012-5-1  Recommender systems are becoming increasingly important to individual users and businesses for providing personalized recommendations. However, while the majority of algorithms proposed in recommender systems literature have focused on improving recommendation accuracy (as exemplified by the recent Netflix Prize competition), other important aspects of recommendation

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Aggregate Knowledge's Content Discovery - How Good is

2008-3-19  It’s the latest in a string of similar deals – Aggregate Knowledge powers “discovery” of both editorial content and product recommendations for over 100 websites, with a particular focus ...

More

Improving Aggregate Recommendation Diversity Using

Improving Aggregate Recommendation Diversity Using Ranking-Based Techniques ... This study contributes with in-depth knowledge of how diversity has been interpreted at operational levels in PSM ...

More

Improving Aggregate Recommendation Diversity Using

2012-5-1  Recommender systems are becoming increasingly important to individual users and businesses for providing personalized recommendations. However, while the majority of algorithms proposed in recommender systems literature have focused on improving recommendation accuracy (as exemplified by the recent Netflix Prize competition), other important aspects of recommendation

More

Target-aware Aggregate Diversification in

Improving aggregate recommendation diversity using ranking-based techniques. IEEE Transactions on Knowledge and Data Engineering 24, 5(2011), 896–911. Google Scholar Digital Library; Gediminas Adomavicius and YoungOk Kwon. 2011. Maximizing aggregate recommendation diversity: A graph-theoretic approach. In Proc. of the 1st International ...

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Aggregate Effects of Decentralized Knowledge Production ...

2013-10-24  The Aggregate Effects of Decentralized Knowledge Production: ... Financial blogs contain information, news, commentaries, opinions, company analyses, and stock recommendations from a variety of contributors including investors, executives, analysts, journalists, and academics.

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Aggregate Knowledge Piques Consumer Demand for

2007-11-5  Contacts. Krause Taylor Associates for Aggregate Knowledge Falguni Bhuta, 408-918-9087 (Direct) Main: 408-918-9080 [email protected]

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Effects of Personalized Recommendations versus

2021-3-15  Abstract. Online retailers use product ratings to signal quality and help consumers identify products for purchase. These ratings commonly take the form of either non-personalized, aggregate product ratings (i.e., the average rating a product received from a number of consumers such as “the average rating is 4.5/5 based on 100 reviews”), or personalized predicted preference ratings for a ...

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The Real Impact of Recommendation Engines -

The theory is that they will help benefit what we call the long tail — products that are not super-popular, that almost don’t get produced, that may get produced but don’t really sell much ...

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National Knowledge Commission

2010-6-5  As we have said in the past, the recommendations of the National Knowledge Commission are really a call to action. It is time to act and implement these recommendations now. Sam Pitroda Chairman National Knowledge Commission. OVERVIEW

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DNN YouTube Recommendations 召回 - 知乎

2018-8-16  最近几个月利用YouTube团队发表的论文 Deep Neural Networks for YouTube Recommendations 在公司的 ‘ 猜你喜欢 ’板块做商品 召回 ,现在A/B测试阶段已结束,效果不错,故而在这里做一个完整的记录,方面以后查阅。. 论文在一开始就提了YouTube团队在视频推荐中遇到的三大 ...

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Aggregate Knowledge's Content Discovery - How Good is

2008-3-19  It’s the latest in a string of similar deals – Aggregate Knowledge powers “discovery” of both editorial content and product recommendations for over 100 websites, with a particular focus ...

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Aggregates for Concrete

2017-8-5  is called “coarse aggregate.” Coarse aggregate may be available in several different size groups, such as 19 to 4.75 mm (3/4 in. to No. 4), or 37.5 to 19 mm (1-1/2 to 3/4 in.). ASTM C 33 (“Standard Specifications for Concrete Aggre-gates”) lists several such size groups using the simplified practice recommendation (SPR) number ...

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Aggregate Knowledge Lets Advertisers See 'What If?' - ClickZ

2012-12-3  Aggregate Knowledge is going after new clients in the Internet 100 with a no-risk guarantee. “We will guarantee a 10 percent increase in either reach or a sales metric,” said Leslie Petry, director, product marketing. The company will baseline sample campaigns and provide recommendations the customer can implement for 60 days.

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Improving Aggregate Recommendation Diversity Using

2011-1-6  Recommender systems are becoming increasingly important to individual users and businesses for providing personalized recommendations. However, while the majority of algorithms proposed in recommender systems literature have focused on improving recommendation accuracy (as exemplified by the recent Netflix Prize competition), other important aspects of recommendation

More

Aggregate Knowledge Piques Consumer Demand for

2007-11-5  Contacts. Krause Taylor Associates for Aggregate Knowledge Falguni Bhuta, 408-918-9087 (Direct) Main: 408-918-9080 [email protected]

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Aggregate Knowledge, a Neustar Service LinkedIn

Aggregate Knowledge, a Neustar Service 1,000 followers on LinkedIn. Neustar, Inc. (NYSE: NSR) is a trusted, neutral provider of real-time information and analysis to the communications services ...

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Improving Aggregate Recommendation Diversity Using ...

2018-1-29  Improving Aggregate Recommendation Diversity Using Ranking-Based Techniques 262 Challenging the Long Tail Recommendation(2012) 237 Niche Product Retrieval in Top-N Recommendation(2010) 213

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Best Practice Guidelines for Aggregate Rehabilitation

2019-2-8  Best Practice Guidelines for Aggregate Rehabilitation Projects: Extracting the Benefits for Species At Risk and Rare Habitats EXECUTIVE SUMMARY Whether managing existing operations or planning the rehabilitation of pits and quarries, there is a wide

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Recommendations 01/2020 on measures that supplement ...

2021-6-18  Recommendations 01/2020 on measures that supplement transfer tools to ensure compliance with the EU level of protection of personal data 18 June 2021 Recommendations

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基于内容的推荐(Content-based Recommendations ...

2012-4-10  Collaborative Filtering Recommendations (协同过滤,简称CF) 是目前最流行的推荐方法,在研究界和工业界得到大量使用。. 但是,工业界真正使用的系统一般都不会只有CF推荐算法,Content-based Recommendations (CB) 基本也会是其中的一部分。. CB应该算是最早被使用的推荐方法吧 ...

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