Looking for good Posts? I hunt them for you down! (16.03.2018)

in #steemit6 years ago (edited)

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

Sort:  

You need to give a 100% vote ;-)

You need to give a 100% upvote to the original post, not to me. The algorithm checks if you upvoted the post with 100%

Hi @hrissm, thanks for voting! I used the following post(s) to find recommendations for you: Post 1, Post 2, Post 3, Post 4, Post 5.

Based on your interests I recommend the following articles:

1: Your MustHAVE Steemit Assistant Has Arrived Shell Change Your Life! by @heart-to-heart (40% match)
2: 5 of the BEST YouTuber Setups That Inspired My Setup PC Tech Part 35. by @techmojo (39% match)
3: **FUN TIME WITH GEE1 Lets do some throwbackthursday ** by @gee1 (47% match)

Thanks for the recommendations... but aside from potentially the first post recommendation I don’t think any of the selected posts aline with my interests, considering the five previously liked posts used as samples.

Ps. perhaps I should consider the match percentage too....?

But that 47% match should be zero lol :)

Cheers!

Hi @robinsmyles! I used the following posts you upvoted to find recommendations for you: Post 1, Post 2, Post 3, Post 4, Post 5.

Based on your interests I recommend the following articles:

1: How do you keep track of your Income and Expenses? by @smaeunabs (47% match)
2: I failed But thats okay. by @varignon (46% match)
3: Wake up and build your selfesteemsimple ways to overcome low selfesteem related behaviors. by @jona12 (51% match)

@hounddog
Show me what you got! :)

Hi @mwfiae! I used the following posts you upvoted to find recommendations for you: 1, 2, 3, 4, 5.

Based on your interests I recommend the following articles:

1: Steem Ambassador Application by @sireh (50% match)
2: Aquaponics, A New Commercial System!! by @craigcryptoking (55% match)
3: STEEMUP OWERRI MEGA MEETUP KEYNOTE TOPICS AND EVENT PROGRAMME OUT! TO IMOLITES; BE COUNTED NOW OR NEVER!! by @eurogee (46% match)

forgot the follow :(
Can you repeat that? ;) @hounddog

Unfortunately not, no :-D you have to wait a day to get a new recommendation.

Although, I could give one recommendation per new vote, I have to check how complicated that is. So you could upvote your hounddog comment and get a new recommendation. I'm looking into this.

Hi @flugschwein! I used the following posts you upvoted to find recommendations for you: 1, 2, 3, 4, 5.

Based on your interests I recommend the following articles:

1: Utopian quality slider bug by @syedumair (72% match)
2: Fix issues navigating profile page on busy by @kirkins (73% match)
3: Suggestion Support Night Mode Buttons of Votes and Mentions Steemplus Update by @louis88 (72% match)

And I wondered why my name was mentioned 😁
Thank you for your vote @flugschwein :)

Hmm, where are you @hounddog? Gotta look into this, sorry

You voted only with 5%, you need to give a 100% upvote, nice try ;-)

edit
Notiz an mich: Denken, drücken, reden.

Hi @kirkins! I used the following posts you upvoted to find recommendations for you: Post 1, Post 2, Post 3, Post 4, Post 5.

Based on your interests I recommend the following articles:

1: The problem with Politics by @guyfawkes4-20 (56% match)
2: NIGHTMARE Taxes Will Go HIGHER! by @crushthestreet (52% match)
3: Adventures In Evil Zombieland 2038 Episode 8 A Futuristic Dining Experience by @steeminganarchy (51% match)

Congratulations @hounddog, you have decided to take the next big step with your first post! The Steem Network Team wishes you a great time among this awesome community.


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Hi @trufflepig! I used the following posts you upvoted to find recommendations for you: post 1, post 2, post 3, post 4, post 5.

Based on your interests I recommend the following articles:

1: Injury report Jimmy Decotis by @b0y2k (60% match)
2: Injury Update Tim Gajser by @b0y2k (66% match)
3: Monster Energy Supercross Round 10 Daytona Results, Stats Timings by @b0y2k (60% match)

Hi @markangeltrueman! I used the following posts you upvoted to find recommendations for you: Post 1, Post 2, Post 3, Post 4, Post 5.

Based on your interests I recommend the following articles:

1: My Day In Reality. by @gloglo (62% match)
2: Celebrating My Insignificant Existence in the Vast Universe by @diabolika (58% match)
3: Charitable deeds, lets crowdfund for kids in Bangladesh, fruits and snacks every week, nr. 31 by @lindahas (58% match)
4: The Uneasy Feeling Eating me Up by @ceepee (57% match)
5: A Generic Headline by @nonameslefttouse (60% match)

Interestingly, they are all pretty high rep authors. Any way i can only get results for authors below a rep of my choosing. My curation tends towards people with lower rep.

The recommendation is almost independent of the author's rep. It is mainly content based like @trufflepig encodes features. Only very low rep authors get punished and not recommended.

Understood, it would still be nice if hounddog could return only authors with rep, say, below 50 and above 30. If he cant then that's OK, i'll just get him re-homed ;)

Maybe I'll add some parameters that can be set by the user in the future, so you can yourself search for whatever you like.

However, the main intention of @hounddog is to find posts that you may like to read, not to promote minnows. The latter is @trufflepig`s job :-)

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