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While working on my current data modeling problem, as detailed in an earlier thread at: http://groups-beta.google.com/group/...6c1e49c681c5bb I noticed that the Craigslist categories (described below) share a similar pattern i.e. they have attributes common to many categories, and then some attributes only found in certain categories. Has anybody ever analysed - and maybe described - the Craigslist data schema, and/or seen any articles written about it? Thanks in advance for any replies. Miner2049er. Craigslist categories are: # job # gigs # housing # for sale / wanted # resume # services offered # personal / romance # community # event All categories have: - title - advertiser's location - description - advertiser's contact info/method - contact permissions Additional attributes per category: # job - compensation - telecommuting ok, part-time, intern etc. (set) # gigs - compensation # housing - rent - number of bedrooms - address - images - cats / dogs OK (set) # for sale / wanted - price - images # resume - nothing extra - # services offered - nothing extra - # personal / romance - age - advertiser's gender - seeking gender - images # community - nothing extra - # event - start date - end date (end of this post) |
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