[HN Gopher] Show HN: Summarizing product reviews into simple bul...
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Show HN: Summarizing product reviews into simple bullet-point lists
with GPT-3
Author : hubraumhugo
Score : 40 points
Date : 2021-02-22 14:17 UTC (8 hours ago)
(HTM) web link (www.buyforlife.com)
(TXT) w3m dump (www.buyforlife.com)
| timconnors wrote:
| Nice concept
| hstan4 wrote:
| This is awesome and love the site. Especially with Amazon's fake
| reviews issue, this is very much needed
| fsflover wrote:
| It would be good to have links to the original reviews which were
| used for bullet points.
| hubraumhugo wrote:
| The reviews are actually listed/linked at the bottom of each
| product page.
| jarbus wrote:
| Really well done. What are you using as a target for GPT-3? I see
| where you got the reviews, but where do you get the bulleted
| lists to learn from?
| johannes5117 wrote:
| Amazing!! Keep going!
| woah wrote:
| One of the things that makes these GPT3 startups hard, and in my
| opinion most likely non viable, is that GPT3 is not ready for
| production.
|
| It can produce text that at a glance looks like it could have
| been written by a human, but a human that is not very competent
| at the task it set out to do and makes basic mistakes. For
| example:
|
| https://www.buyforlife.com/products/efa8b0c1-d7da-4485-b7f0-...
|
| - Blade will rust easily unless oiled.
|
| - The locking mechanism is not as secure as it could be, and can
| be difficult to disengage when the blade is being used for heavy
| cutting tasks.
|
| - The blade is softer than most stainless steel blades, so the
| knife will dull quicker than others.
|
| There's also no way for the startup to fix these issues, unless
| they have the resources to actually improve GPT3 itself.
| bibabaloo wrote:
| What am I missing? What is wrong with those? I read the
| complete review and honestly, if I didn't know better, would
| have thought that a human wrote it.
| codecamper wrote:
| This is awesome. Great work.
| bscphil wrote:
| Not really related to the GPT-3 thing, which seems cool, but a
| point of confusion and / or criticism:
|
| > if warranty = lifetime, then price/expected lifetime
|
| The #4 item showing for me is a tape measure, which costs $20 and
| has an estimated monthly cost of $.28. That means you are
| estimating this tape measure with a lifetime warranty will only
| last 6 years.
|
| The #3 item showing for me is an iron skillet, which costs $180
| and has an estimated monthly cost of $.25. That means you are
| estimating this skillet with a lifetime warranty will last 60
| years.
|
| Later on down the list you have another cast iron skillet, which
| cost $20 and has an estimated monthly cost of $.29. This means
| you are estimating this skillet will last less than 6 years. I
| happen to own this skillet. It's made of _solid_ iron. I promise
| you no one who is taking care of this thing at all is going to
| see less than 10 years of use out of it. I plan to hang on to
| mine for decades.
|
| What's the basis for this estimation? Pretty much every one I've
| seen seems completely random and mostly unjustified. E.g. if my
| tape measure with a lifetime warranty breaks after 5 years I'm
| definitely taking it in for a free replacement, so what's the
| deal here? (My high quality tape measures have never broken that
| quickly anyway.)
|
| All that said I think the implementation of "badges" was really
| neat and what I can see of the GPT reviews so far look pretty
| good (although I'm a bit worried that scraping certain review
| sites may lead to a garbage in, garbage out problem). I'll be
| checking out your site again in the future.
| Bancakes wrote:
| Looks awesome and good job on hands-on demos.
|
| Is it possible to extend it to run statistical analyses to spot
| fake reviews without third party tools or at least discrepancies
| and contradictions among reviews?
| hubraumhugo wrote:
| Thanks for the feedback. Improving the fake review detection by
| using statistical analysis is definitely on my list once this
| gets past the MVP state. If anyone has inputs on how to
| implement this, you are welcome to contact me :)
| hubraumhugo wrote:
| Hey HN!
|
| Finding and researching good products can be very time-consuming
| and frustrating. Every time I want to buy a product, I waste
| hours reading reviews and researching the quality, durability and
| maintainability of it. Wouldn't it be great to have a service
| that does all this for me?
|
| That's why I built the AI-Reviewer. The AI-Reviewer summarizes
| product reviews from all over the web into simple bullet-point
| lists.
|
| #How does it work?
|
| 1. Scraping reviews from trusted sources on the web
|
| 2. Running it through a fake detection
|
| 3. Doing a sentiment analysis
|
| 4. The AI-Reviewer generates a brief and concise summary of all
| the reviews by using GPT-3
|
| #What sources do I use?
|
| I asked users where they look for product reviews and focused on
| the most trusted sources.
|
| Besides the reviews of buyforlife, the sources are: Reddit,
| Wirecutter, Amazon, GearLab and some other.
|
| #How do I prevent fake reviews?
|
| This is a question that always comes up. There is no satisfactory
| solution to this problem, but I'm trying my best. A few things
| I'm doing:
|
| - Running Amazon reviews through fakespot.com
|
| - Diversifying sources and cross checking them
|
| - Adding weight to reviews from trustworthy sources like Reddit
| and buyforlife.
|
| #What's next?
|
| I plan to continuously increase the number of products with an
| AI-Review. In addition, I can think of a few more use-cases:
|
| - Summarizing warranty terms and conditions of brands into simple
| bullet-point lists
|
| - Summarizing maintenance and care instructions
|
| - Shopify App & Google Chrome Extension
|
| - Ability to compare products
|
| Read the full blog post here:
| https://www.buyforlife.com/blog/548RijnkRdPwn1cAI5RDjw/make-...
| thefourthchime wrote:
| This is super cool, great start!
| fudged71 wrote:
| This is fantastic.
|
| Could you please provide alternative shopping links? Amazon.com
| links don't resolve for Amazon.ca customers
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