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I have 6.000.000 RSS articles in a DB. What can I do?
I created a website a couple of years ago (thatstoday.com) where members can add RSS feeds and read them in our "news reader". The years went by and we've indexed all feed articles in our db (and in Lucene).
Now I'm not sure what to do with all the data since the db it's getting large and difficult to handle.
Should I delete it or create a new service? What do you guys suggest?
Thanks,
Rob
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- tzaman 14y agoIf you think it could be useful to someone, try to sell it
- robertpohl 14y agoHow much do you offer? ;)
- tzaman 14y agoI'm not that someone :D
- huragok 14y agoSell it or lease it. I'm sure there's some value in the aggregation of feeds (though I can't imagine what besides user habits).
- drewcrawford 14y agoThere's no e-mail address in your profile. Please contact me at the e-mail address in mine.
- robertpohl 14y agoI have an encrypted version there now ;)
- kngspook 14y agoHow big is the DB dump? I know I would be interested in downloading it, and just poking it for interesting stats...
- robertpohl 14y ago50-60 GB
- bromagosa 14y agoAre they all open? If so, I'd contact wikimedia and see what use can they give them.
- aw4y 14y agomake it open!
- raverbashing 14y agoNatural Language processing n-gram studies Or just some kind of webservice where people can look this up
- robertpohl 14y agoThought of that, but I need to add it to a 50GB+ cloud SQL storage which cost a few bucks... :)
- xSwag 14y agoYou should dump a copy of the database somewhere so we can all take a look at it and perhaps analyse it.
- Terretta 14y agoDo want. Please. :-)
- rcknight 14y agoWould also love this!
- bbayer 14y agothat is what I thought
- robertpohl 14y agoI'd love to do that, but how can I finance storage and bandwidth? Paypal donations? Hmm.. I know a few peeps at MS/Azure.. maybe they can sponsor..I'll get back on this one.
- spobo 14y agoWrite an algorithm to match articles from different sources that are about the same story. That way you can autohide news that you've supposedly already read from another source. Clustering news from different sources would be a killer feature for me :)
- johnconroy 14y agoTorrent it as a dataset for researchers perhaps? Researchers in information retrieval, data-mining and so on might be interested. Would be a cheap way to distribute it. If it has user metadata etc., I suppose you'd have to clean/anonymise the dataset though (but if there is user metadata, then this could prove the dataset's true worth). Could be good cheap promotion for ThatsToday too.
- ramigb 14y agoI suggest you change your privacy policy (i am sure you have one) and tell the users that you will open the database for researchers, and make the open database a donation based service, this way you can pay to host it and might get some good extra money.
- robertpohl 14y agoSounds tempting!
- lucamartinetti 14y agoa bunch of interesting things. It is a nice NLP corpus. Put a dump on S3 and make it public
- openmosix 14y agolove it...
- bulte-rs 14y agoYou've got the basis for a "you-like-this-so-perhaps-you-will-want-to-read-this" recommendation engine. Perform some - mentioned in another reply - n-gram analysis on the corpus; do some basic cosine-similarity analysis with the feeds people subscribe to and see what pops up. Try other techniques (from e.g. ICWSM[1]) (last time I did something like this is April 2007); iterate; analyse results; publish. At least you'll have fun (YMMV)... [1] http://www.icwsm.org/[2007-2011] http://www.icwsm.org/[2007-2011]
- robertpohl 14y agoI already use "find similar articles" techniques using Lucene. But I'm thinking it might be more interesting in another more data-centered website?
- dodo53 14y agoDoes your reader record which items in a feed were read? I'm sure lots of feed providers would be interested in metrics on which of their articles were frequently read (and possibly some clustering of interests based on what else readers subscribe to)
- robertpohl 14y agoYes it does! The problem is the low activity on the site. If the traffic grew the meta data would explode ;)
- gbog 14y ago> the db is getting large and difficult to handle. Did your store the raw content in the database? If so, you might consider writing files instead. These blobs, like pictures, are better stored as files. In your database, you should keep relational data: url, time, adder, etc, properly indexed (probably by adder, time and maybe keywords). Then a 6M rows table is quite a small thing for any RDBMS (if your SELECTs are filtering on indexed columns).
- robertpohl 14y agoGood idea! When i'm importing the raw data I add it to lucene to make similar-articles-matching, but after that it could be dumped to text.
- gauravvijay 14y agoI can sponsor the S3 storage but with limited IO
- robertpohl 14y agoI guess it would need more that just storage, but also an API so you can query it. Maybe a JQuery/JSONP layer ontop of a Lucene index?
- haddr 14y agoFor God's sake don't delete it! First of all dump it to files instead of DB. (Or use some NoSQL Document Storage, such as MongoDB. The structure of RSS is actually non-relational, I suppose) Second of all: is your data clean? If not then you might need to clean it from any boilerplate (such as HTML code) Then you can process it with some tools. There are some good NLP tools available such as Gate. You may have a look at them. You can do great deal of things there: - detect some entities (companies? products?) and do some classification of documents - you can detect some events (iPhone announcements, etc) - if you have time & date (hope you have) you can do some trending topics analysis (what was hot in June 2010) - probably you can't sell the data as the content of articles is not yours, but you may sell some derived data (analysis, etc)
- rocky1138 14y agoDo you have the rights to distribute the articles in your database?
- ahmedaly 14y agoMaybe I can offer you hosting for free if this is your problem.. pls email me on ahmed(at)svwebdev.com
- waxjar 14y agoDepending on how far back the data goes, you could try to spot language trends trough time or make a pretty graph of the average article length trough time. I'm not that inspiring. I hope this'll get a follow up, I'm sure someone can think of something awesome to do with it. If you decide to open source it (copyrights?), use Bittorrent: it's the perfect tool for this job.
- evanwolf 14y agoDonate it to http://Archive.org http://Archive.org. They can reconstruct disappeared web sites from it, preserving the web's past.