3 ms·
Is there a numerical analysis or just looking at the listing agent description? What I look for as a real estate investor is price disparity: a house with a mu
by joshuaheard 12y ago
Is there a numerical analysis or just looking at the listing agent description? What I look for as a real estate investor is price disparity: a house with a much lower price than others around it. They say you make money when you buy a house, so buying a low-priced house and bringing up to the standards of the neighborhood has been my formula.
- rgbrgb 12y agoThe regex above is one signal we're using. We also look at relative price per sqft and a number of other factors. We could do a little blogpost that goes in-depth on our algorithm if there's interest. We've also tried some fun stuff like running TFIDF on the descriptions [1]. [1]: http://en.wikipedia.org/wiki/Tf%E2%80%93idf http://en.wikipedia.org/wiki/Tf%E2%80%93idf
- joshuaheard 12y agoThis could be a valuable tool. I like the clean website too. I don't see an About page. It would be interesting to see who is doing this and what you plan to do with it.
- rgbrgb 12y agoWe're Open Listings (YC W15): https://www.openlistings.co/ https://www.openlistings.co/ We're trying to help people find properties they'd like to buy. We'd be happy to help with the offer and transaction for any home in California, but we're also happy just to provide free tools for home buyers.
- sandGorgon 12y agocould you describe the way you are running TF-IDF on the listings - are you pushing them into Solr/Elasticsearch and then firing a query with the same description to see which scores rank ? Would love to see your query.