eBay’s Fast Billion-Scale Vector Similarity Engine
tech.ebayinc.com
eBay’s Fast Billion-Scale Vector Similarity Engine
1–10 of 26 posts
Re: eBay’s Fast Billion-Scale Vector Similarity Engine
#2Nice to see eBay invest further on its search side.
This paper is too dense for me to read through at this moment, but eBay must be a real disappointment for its shareholders:
Despite its head start at being a platform for online retail open to anyone, eBay stock has only doubled in 10 years, or in other words, added $12b in equity value (currently $24b). Imagine that: a successful tech company with a real product in a market that’s going stratospheric (online shopping) has lagged the S&P 500.
Meanwhile Amazon has octupled, which works out to adding $864b in market value.
In other words, Amazon has added 36 eBays worth of equity to itself in the last 10 years.
Ok, I haven’t looked at corp debt to calculate these numbers based on enterprise value, but that could make the numbers worse: eBay is asset-light with little physical infra compared to Amazon.
eBay’s fees have gone through the roof, so I suspect its volume has been decreasing.
Re: eBay’s Fast Billion-Scale Vector Similarity Engine
#3HNSW seems better in the criteria that matter.
I think similarity search is a commodity now; I would not invest in developing an in-house solution given the abundance of good commercial solutions.
Re: eBay’s Fast Billion-Scale Vector Similarity Engine
#4Nice to see eBay invest further on its search side. This paper is too dense for me to read through at this moment, but eBay must be a real disappointment for its shareholders: Despite its head start at being a platform for online retail open to anyone, eBay stock has only doubled in 10 years, or in other words, added $12b in equity value (currently $24b). Imagine that: a successful tech company with a real product in…
Ebay used to have an engineering limit on the number of items in their indexes so they couldn’t grow and had to increase fees instead to keep the item count down, I don’t know if they still have that limit, I haven’t been paying attention. It meant they ended up with a focus on very high margin crap, Amazon is now going the same way because they can and it makes a lot of money.
Maybe with more listings eBay can lower their fees so that low margin items are able to be sold. And maybe with some competition between the two there might be a reduction of fees and a return to quality. Sadly I don’t think eBay is competing effectively, their website still sucks and I can’t get anything resembling an invoice for taxes, maybe it’s there but I haven’t seen it, I don’t use eBay very often.
Re: eBay’s Fast Billion-Scale Vector Similarity Engine
#5One of the best things about eBay compared to other market places like Amazon and Aliexpress, is that their search operators include not just AND (space) but also OR (comma separated values inside parentheses) and NOT (minus) but more importantly - eBay's search engine respects the supported operators and denoting which items are search results and which are suggested/similar.
This cannot be said about Amazon, Aliexpress, both which intentionally (I guess) mix similar items with results that match the search query.
I hope that eBay keep those two things distinct.
Re: eBay’s Fast Billion-Scale Vector Similarity Engine
#6HNSW seems better in the criteria that matter. I think similarity search is a commodity now; I would not invest in developing an in-house solution given the abundance of good commercial solutions.
They’re embeddings so they’re dense. There are few things easier than dense vector similarity.
Re: eBay’s Fast Billion-Scale Vector Similarity Engine
#7HNSW seems better in the criteria that matter. I think similarity search is a commodity now; I would not invest in developing an in-house solution given the abundance of good commercial solutions.
They’re embeddings so they’re dense. There are few things easier than dense vector similarity.
Embeddings for retrieval don't have to be. It is not unheard of to transform the raw embeddings to optimize them for retrieval; e.g., through binarization or hashing.
Re: eBay’s Fast Billion-Scale Vector Similarity Engine
#8One of the best things about eBay compared to other market places like Amazon and Aliexpress, is that their search operators include not just AND (space) but also OR (comma separated values inside parentheses) and NOT (minus) but more importantly - eBay's search engine respects the supported operators and denoting which items are search results and which are suggested/similar. This cannot be said about Amazon, Aliexp…
And you can setup email alerts for those complex search terms.
I made a tiny amount of money doing typo arbitrage on bundles labelled as “Nitendo” many years ago.
Sometimes when I wanted a really niche item, I’d wait for one of those alert emails that had more than usual results because I knew the bidding would be split.
Re: eBay’s Fast Billion-Scale Vector Similarity Engine
#9Earlier quoted context omitted.
They’re embeddings so they’re dense. There are few things easier than dense vector similarity.
Embeddings for retrieval don't have to be. It is not unheard of to transform the raw embeddings to optimize them for retrieval; e.g., through binarization or hashing.
I was more making a distinction between embeddings and bag of words which are very very sparse matrices. The embedding dimensionality will not be anywhere near as high so this level of sparsity is a minor inconvenience.
Edit: also CPUs for this, yikes…
Re: eBay’s Fast Billion-Scale Vector Similarity Engine
#10Nice to see eBay invest further on its search side. This paper is too dense for me to read through at this moment, but eBay must be a real disappointment for its shareholders: Despite its head start at being a platform for online retail open to anyone, eBay stock has only doubled in 10 years, or in other words, added $12b in equity value (currently $24b). Imagine that: a successful tech company with a real product in…
Amazons growth has been one of the most astonishing things this decade. It feels like they broke all rules and managed to absolutely dominate. I remember in the 2000s the dominant paradigm was to be a platform since software “can’t do infra”. The idea was to be the middleman that Walmart, Target etc use, not to directly compete with them. Amazon did the opposite and competed hard and won.
Another anecdote is in a sea of tech companies that try to attract talent with perks/ benefit/ even high salaries Amazon had none. Amazon prides itself for making a table out of a door to save money (no joke). But arguably Amazon employees made bank in Amazon because of its stock growth, definitely more compared to Google, Apple, Meta, maybe similar to Microsoft. Finally of all companies, Amazon is the only big tech I know that veered off its main product and still dominated. AWS is completely off the left field for Amazon, it makes me optimistic that Amazon might become a juggernaut in healthcare too (they definitely are trying).