2.  A search agent scours the entire web.  Constantly Evolving and Expanding

3.  Google  Amazon  Yahoo  EBay  Wikipedia

4.  Humans see one page in native language  Computers see multiple pages in code

5.  Find relevant products  Buying websites example  Gather all relevant stores (e.g. Amazon, EBay, Newegg)  Relative Product Types Relevant (page, url, query) ^ offer (page)

6.  Determines link is relevant to search  Relevant text for queries  Query is “laptops” thus Laptop Computers is the category. “Computer” is the super category and “lightweight” is a subcategory Relevant (page, url, query)E store, home, store E OnlineStores ^ Homepage (store, home) ^ link (url) ^ page = getpage (url) Name (string, category) Name (“laptops”, Laptop Computers)

7.  After searched complete the next job lies with the comparing agent  Information extracted from pages using wrappers  User-determined qualifiers must be met Laptop Computers ^ offer E Product Offer ^ screen size ^ screen type ^ memory ^ cpu speed ^ hard drive capactiy ^ price ^ etc.

8.  Comparison  B is better than C making C lower relevance than B A : 2.4 GHz, 1 GB RAM, 120 GB HDD, $2100 B : 2.2 GHz, 512 MB RAM, 80 GB HDD, $1500 C : 2.2 GHz, 512 MB RAM, 80 GB HDD, $1600