![]() A lot of the terms are repetitive and most of them contain vintage and antique, but I figured I’d just share it all. ![]() There are plenty of things that I personally search for (depending on the room I’m working on), but today I’m sharing frequently searched items from the last year and a few of the terms I use to search for them. Maybe you can reupholster them and create something fabulous. It’s up to you to recognize what’s valuable, what’s junk and when you need to jump all over those Milo Baughman parsons chairs when they pop up for $45. What I’m trying to say is… you need to know your shit too. On the contrary, if Stewart knew that he was selling Milo Baughman parsons chairs, he would have probably labeled them as so and listed them for a lot more, because Stewart knows his shit. Like no, Stewart, those are Milo Baughman parsons chairs in pristine condition and they’re worth wayyy more than $45. I’ve seen some of the most beautiful vintage or designer items described in such a simple manner, such as “old chairs.” I’ve found that it’s important to think outside the box with your terms because unfortunately, most people do not know WTF they’re selling. The results are too broad with just one word and you most likely will need to comb through hundreds/thousands of results to find anything decent, like at a bad garage sale. I always search with at least two words and if I’m looking for something specific, I’ll add in a third word. Including this really narrows your results but you also have a greater chance of finding exactly what you’re looking for 2nd word: any brand, color, quantity or specifics you’re looking for.1st word: usually “vintage” or “antique” (because they don’t make things like they used to :)).Today I’m addressing the whole keyword topic and answering one of the most asked questions I receive about finding things on FB MP: what words did you search to find that?!įirst and foremost, there’s sort of a keyword “formula” that I use when I search: So, when I searched other cities, Facebook seemed to recognize visually similar images and words from my own saved items and that’s why I was able to find things that maybe not other people had found during their own search.īasically, in addition to the keywords I’m sharing with you below, I think it’s important to save items that are visually similar to what you’re looking for so that every time you open FB MP, great things appear in your feed and not diapers or something. ![]() When I scoured other places around the U.S., the great items that popped up were based on things that I’ve personally saved and searched from my own local Marketplace. I think it had to do with the algorithm and words I used to search. I was surprised that in most cities, I did find good stuff. I started doing what Emily from Emily Every Day does on her IG stories and began searching cities around the country on FB MP based on the locations I was told had “absolutely nothing good.” It’s one of the things I’m frequently asked about and I’ve done my best to share everything I know so that you, too, can find great things for your home.Īfter my recent office makeover, which was furnished with mostly FB MP finds, I started getting an influx of messages that all sounded the same: “ you’re so lucky, I never find anything good in my area.” It blew my mind because I know there’s stuff out there. In this article we propose an indexing technique in combination with efficient processing of Boolean top-k spatial queries where location data is compressed to save space and the Boolean query helps filter results so that unrelated data is not processed, what helps to save space and faster processing of queries.If you’ve been here before, chances are you’re well aware of my obsession with Facebook Marketplace. Of location, but also increases the load of data on their servers. For the most part, all SNSs (social network services) focus on connecting the user account with their location information, such as check-in services, which helps them collect information about user activities and ratings. Due to the use of location information in services for each mobile device, a large size of spatial data makes it difficult to process spatial queries efficiently and, therefore, we need a lightweight and scalable approach to process large amounts of stored data in distributed file systems. In addition, it is increasingly possible to track the user’s location, which provides immense opportunities in geospatial data and its management. The web is being used more and more by users of mobile devices.
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