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  • Aggregate Knowledge Huiwenhan

    Aggregate Knowledge, the recommendation engine, is a tool for discovery, not search.When Web users search something, it means they know what they are looking for. Recommendations lead to serendipity. There are quite a few providers of that service online, so let’s look at a few.

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  • Software for Recommendations - KDnuggets

    Aggregate Knowledge, creates automated behavior recommendations for websites, offering Discovery for Retail, Discovery for Media and the Collective Discovery Network. San Mateo, CA. ChoiceStream, deliver personalization that satisfies each consumer's tastes and interests. CleverSet, offering recommendations technology; purchased by ATG (Jan 2008).

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  • Aggregate Knowledge's Content Discovery - How Good is it ...

    19/3/2008  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 ...

    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-better by watching consumer reading patterns online ...

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

    26/3/2008  NEW YORK SAN MATEO, Calif.--(BUSINESS WIRE)--Today, CBS Mobile and Aggregate Knowledge announced they are teaming up to offer first-of-its-kind discovery and recommendation technology on mobile ...

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  • Models for Recommender Systems in Web Usage Mining Based ...

    recommendations. Usually the Recommender Engines such as Pandora, Stands, and Aggregate Knowledge use either deep structured analysis of in item or social behavior analysis or behavioral analysis around the item before offering recommendations. In this paper, after analyzing various approaches of recommender systems

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  • Aggregate Knowledge Gets $5M for Social Recommendations

    11/12/2006  Aggregate Knowledge isn't necessarily a name you're familiar with, but that's because they're not a consumer-facing service. Instead they power product recommendations for sites like Overstock ...

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  • 24 March 2008 I'm Not Actually a Geek

    24/3/2008  It applies some secret sauce to analyze your friends’ feeds and create recommendations for you. Stern finds the service a bit boring, as all the recommendations based on his friends’ feeds were the same. In the case of Aggregate Knowledge, the recommendations were based on too wide a pipe.

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  • LITERATURE REVIEW ON EFFECTIVENESS OF THE USE OF SOCIAL ...

    users do not act entirely without guidance, but rely instead on peers, web tools, and the aggregate knowledge generated by new collaborative platforms (10). The term “social media” is used somewhat loosely to describe an array of new Web 2.0 platforms. Although they are not always clearly distinguished in the literature, the interactivity

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  • Introduction to Recommendation Engines

    recommendations is often higher than those of content-based systems. However, a major issue with collaborative iltering is that it faces cold-start problems with both new users and items because it relies entirely on historical data. The dificult problem of accounting for variation in user behavior — some users may be easy raters

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  • How much sales lift is attributed to Amazon's ...

    Aggregate Knowledge raises $5M from Kleiner, on a roll in this article, Matt Marshall writes "Amazon says 35 percent of product sales result from recommendations." which draw more discussions here (35% of sales from recommendations) I can see h...

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  • LITERATURE REVIEW ON EFFECTIVENESS OF THE USE OF SOCIAL ...

    users do not act entirely without guidance, but rely instead on peers, web tools, and the aggregate knowledge generated by new collaborative platforms (10). The term “social media” is used somewhat loosely to describe an array of new Web 2.0 ... recommendations for action) and 4 as reviews (overviews of the utility of social media)

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  • David Jakubowski - Head of Data Analytics, Emerging ...

    Prior to Facebook, David was the CEO of Aggregate Knowledge, (Acquired by Neustar), the industry’s leading enterprise media analytics DMP. ... Recommendations. A preview of what LinkedIn ...

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  • Rethinking the recommendation engine - Aug. 24, 2007

    22/8/2007  Online shopping recommendations are the Internet's answer to the old-fashioned up-sell. "You like that red Prada hobo bag? ... aggregate knowledge uses a

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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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  • Oracle System Support Advantage

    health recommendations, automatic service requests, and complete system ... THE ORACLE SYSTEM SUPPORT ADVANTAGE OR AC LE D AT A SH EE T virtual machines, storage, and network fabrics into a single console to maximize the ... immense pool of aggregate knowledge, Oracle resolves many issues in seconds that

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  • AIS Electronic Library (AISeL) - Hawaii International ...

    Diverse medical traditions follow different ‘grammar’ making encapsulation of varied body of knowledge challenging. However, the advances in information technology in the 21st century provide an opportunity to aggregate knowledge from varied cultures and medical traditions to tackle difficult health issues for which no cure has been developed.

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  • Introduction to Recommendation Engines

    recommendations is often higher than those of content-based systems. However, a major issue with collaborative iltering is that it faces cold-start problems with both new users and items because it relies entirely on historical data. The dificult problem of accounting for variation in user behavior — some users may be easy raters

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  • Hot Sales for Cool Vendors

    3/4/2008  Aggregate Knowledge (AK), for example, has developed the Pique Discovery Network, a behavior-based recommendation engine for Web sites similar to the recommendation engine found on Amazon -- but less expensive and less resource-intensive, putting it within reach of

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  • Chapter Six Conclusion and Recommendation

    Knowledge based strategy represented by three strategic focuses such as talent being an employer of choice, knowledge capital management(KCM), and human capital strategy(HCS) for competitive advantage. In aggregate Knowledge Based strategy showed significant positive relationship (P≤0.05) with integrations of HR planning with

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  • Recommendations and Revelations - EContent Magazine

    29/1/2008  Aggregate Knowledge’s offering monitors what’s going on across a variety of websites, so it has the inside track on emerging trends and connections between seemingly disparate pieces of content. It’s also a clever way to avoid the downside of content recommendations, which have a tendency to reinforce the blockbuster nature of the media.

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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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  • Aggregate Knowledge, a Neustar Service LinkedIn

    Learn about working at Aggregate Knowledge, a Neustar Service. Join LinkedIn today for free. See who you know at Aggregate Knowledge, a Neustar Service, leverage your professional network, and get ...

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  • Running Aggregate Advisor - ibm

    You can end the Aggregate Advisor run and receive the recommendations made so far by clicking the End button. Click the Cancel button to end the run without receiving any recommendations. When the slope of the graph starts to level out, further recommendations will not have much impact and the Aggregate Advisor run can be ended.

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  • DKN: Deep Knowledge-Aware Networkfor News Recommendation

    cally aggregate a user’s history with respect to current candidate news. Through extensive experiments on a real online news plat- ... make personalized recommendations [2, 25, 27, 32, 34, 39]. ... recommendations. A knowledge graph is a type of directed het-erogeneous graph in which nodes correspond to entities and edges

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  • Geeking with Greg: 35% of sales from recommendations

    35% of sales from recommendations In an article about startup Aggregate Knowledge, Matt Marshall writes, "Amazon says 35 percent of product sales result from recommendations." Posted by Greg Linden at 1:25 PM. Email This BlogThis! Share to Twitter Share to Facebook Share to Pinterest.

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  • Yosha Ulrich-Sturmat - SVP, Corporate Planning, Operations ...

    View Yosha Ulrich-Sturmat’s profile on LinkedIn, the world's largest professional community. ... Positioned and scaled Aggregate Knowledge for growth from $20M run rate in 2 years as a ...

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  • AIS Electronic Library (AISeL) - Hawaii International ...

    Diverse medical traditions follow different ‘grammar’ making encapsulation of varied body of knowledge challenging. However, the advances in information technology in the 21st century provide an opportunity to aggregate knowledge from varied cultures and medical traditions to tackle difficult health issues for which no cure has been developed.

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  • Optimize dynamic cube performance with Aggregate Advisor

    If selected, Aggregate Advisor makes aggregate recommendations that can be applied by the Cognos BI server when the dynamic cube is restarted. A size limit for in-memory aggregates can also be supplied. In-database aggregates If selected, Aggregate Advisor makes aggregate recommendations that can be applied by a database administrator.

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  • Maternal nutrition knowledge and child nutritional ...

    1. Introduction. This study analyzes the link between maternal nutrition knowledge and child nutritional outcomes in urban households in Kenya. Malnutrition in all its forms affects one out of three individuals worldwide (IFPRI, 2016).While overnutrition rates are rising, undernutrition remains a major concern in many countries.

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