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Managing Your Reputation & Feedback on Amazon

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By Phil GrierAabaco Merchant DevelopmentI recently spoke at the first annual PROSPER Show, a new conference held in Salt Lake City, which included 90+ speakers and 12 ex-Amazonians. While there, we attended many of the panels and in this blog series will share the tips, tricks, and best practices for successfully selling on Amazon as shared by industry experts. Many of these best practices can also apply to your own branded website! This is the last of 8 posts in the series.Amazon customers have high expectations! The average Amazon buyer expects a 24 hour maximum turnaround time on customer service
requests. Amazon also takes buyer feedback very seriously. They use feedback to determine your visibility in product searches and buy box placements, and they have strict rules about what you can and can’t do to solicit and use the feedback received from customers.You might be amazed to know that around 90-95% of Amazon buyers don’t leave feedback, yet they rely heavily on other people’s feedback when making purchase decisions. Amazon also looks closely at product feedback, and with 98% or more positive feedback, they consider you to be satisfying their customers. Anything less than 98% will reduce your visibility. In...(Read whole news on source site)

A New Chapter In Library Technology | EBSCO post

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A New Chapter In Library Technology | EBSCO post



A recent article by Marshall Breeding describes a new open source
project introducing a new chapter in library technology: a first-ever
community collaboration to develop a modern open source library services
platform with full ILS functionality. The project is well underway with
major support from EBSCO, technology development led by Index Data

The design of RavenDB 4.0: The implications of the blittable format

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I have written extensively about the blittable format already, so I’ll not get into that again. But what I wanted to do in this post is to discuss the implication of the intersection of two very important features: The blittable format requires no further action to be useful. Voron is based on a memory mapped file concept. Those two, brought together, are quite interesting. To see why, let us consider the current state of affairs. In RavenDB 3.0, we store the data as json directly. Whenever we need to read a document, we need to load the document from disk, parse the json,
load it into .NET objects, and only then do something with it. When we just got started with RavenDB, it didn’t actually matter to us. Our main concern was I/O, and that dominated all our costs. We spent multiple releases improving on that, and the solution was the prefetcher. Prefetcher will load documents from the disk and make them ready to be indexed. The prefetcher is running concurrently to indexing, so we can parallelize I/O and CPU work. That allow us to reduce most of the I/O wait times, but it still left us with problems. If two indexes are working, and they...(Read whole news on source site)

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