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Show HN: Didyougogo – An Altavista slayer
31–40 of 131 posts
Re: Show HN: Didyougogo – An Altavista slayer
#32Re: Show HN: Didyougogo – An Altavista slayer
#33I searched for apple. Top result was the archive.org macos that showed up here on HN recently, 2nd and 3rd were apple.com indexed 10s apart.
Then some odd results - though they do include the word apple on page just once. The imdb page for 12 Monkeys appears 3 times.
I guess you're not trimming duplicates? Seems like you need some way to weight rankings too.
I wish you every success - search definitely needs some competition.
Re: Show HN: Didyougogo – An Altavista slayer
#34Interesting idea. Isn't it a little late to slay Alta Vista though? :) I searched for apple. Top result was the archive.org macos that showed up here on HN recently, 2nd and 3rd were apple.com indexed 10s apart. Then some odd results - though they do include the word apple on page just once. The imdb page for 12 Monkeys appears 3 times. I guess you're not trimming duplicates? Seems like you need some way to weight ra…
Re: Show HN: Didyougogo – An Altavista slayer
#35it's unclear to me how i am supposed to help improve this.
Re: Show HN: Didyougogo – An Altavista slayer
#36Re: Show HN: Didyougogo – An Altavista slayer
#37Anyway, noted that it's a very early version, so good luck with it!
Re: Show HN: Didyougogo – An Altavista slayer
#38Re: Show HN: Didyougogo – An Altavista slayer
#39Re: Show HN: Didyougogo – An Altavista slayer
#40I searched for "Cnn" and got 0 results. I searched for "Amazon" and got a five random results, including the IMDB page for "Rambo, Part 2." If this were really like AltaVista, I'd get 3 trillion results and have to use advanced Boolean logic to cut that down to the most useful 7,000 - so I guess having no results is sort of easier...
My boolean logic is here: [1] I'm sure it has flaws. Since the index had only five or six entries a couple of hours ago I set the matching to be wide instead of narrow. I'm also experimenting with loading the model with phrases, phrases and words or words only. I might have f-ed up the query parsing because of that. Remember, this is 0.1, fresh out of the press. Searching the tree is here: [2] Tokenization is here: […