THIS IS A BETA TEST! SERVICE NOT GUARANTEED! MAY FAIL!

Hound Dog at Your Service

My name is @hounddog and I am your personalized post recommender. I hunt and track down posts based on your previous upvotes and interests. I am designed and coded up by @smcaterpillar. And yes, I am related to @trufflepig and do use parts of him. However, he tries to satisfy the taste of the masses whereas I try to cater to your needs only.

How It Works

1. Upvote this post (and optionally follow me).
2. Reply to this post with just @hounddog or add an example post like this: @hounddog https://steemit.com/steemit/@myfavoriteauthor/my-favorite-post
3. Wait for about a minute and refresh this webpage.
4. I will give you a recommendation of 3 posts (or 5 if you follow me) published within the last week based on your latest 5 upvotes or on your example post.

Please, give only 100% upvotes, anything less won't get you very far!

You can get multiple recommendations if you upvote my recommendations to you and reply to this post with @hounddog another time. Make sure to vote on other posts in between, otherwise you may get the same recommendations again!

IMPORTANT: Recommendations are given until 22.03.2018 (UTC). Find a newer post of mine after that date for new recommendations.

FAQ's

Can I use your service if I sold my vote to services such as @smartsteem?

Well, you can give it a try. But my suggestions are based on the upvotes of your account. If your account voted for crap, you will get crap in return. Your vote on Steemit counts, so think twice about whether you sell it to a bot! Alternatively, you can add an example post (like @hounddog https://steemit.com/steemit/@myfavoriteauthor/my-favorite-post) and I will search for other posts similar to your example.

Can I get some more recommendations?

Yes, just upvote my first recommendations to you and reply to this post with @hounddog again.

Can I send you SBD to get even more recommendations?

Well, no! Sure send me some SBD if you have no use for them, but do not expect anything in return. You pay for this service with your vote only. This is recommendation socialism, baby! If you can give a lot, you have to give a lot, if you cannot, you only have to give a little!

How do you give recommendations?

In a nuthsell, I read all posts of last week and, first, filter all short ones, non English ones, and publications drowning in spelling mistakes. Secondly, I extract the essence out of each contribution. I do this by projecting the posts into a low dimensional vector space using Latent Semantic Analysis. Next, I look up the last 5 posts you voted for and project these into the space, too. Finally, I search the space for the articles closest to your choice by maximising the Cosine Similarity between your votes and last week's posts.

Best with barks,

HoundDog