jbernat
26-08-2005, 15:22/03:22PM
What would be the recommended way to optimize a commerce site with a catalog of approximately 15,000 automotive publications?
Cross-reference information by vehicle make, model, and year, as well as type of publication (Owner Manual, Service Manual, Labor Time Guide, Technical Service Bulletin, Wiring Diagram, etc.)
The site currently has a custom product search engine to take the parameters listed above and return pages of results.
Unfortunately, the spider will not get past the form, so nearly no product pages are indexed.
Should a decision tree of static pages be generated from the data on a semi-regular basis (as product information is updated) to provide a "browse" or "drill-down" navigation alternative to the product search navigation?
The product pages are dynamic URLs with parameters, but my understanding is that Google will index a dynamic URL linked from a static page. (It just won't go any deeper beyond that dynamic page.) True?
If this decision tree resulted in 10-20,000 new pages being added, how would the engines react?
I can think of at least two ways to slice the tree:
1. Make > Model > Year (ending at a list of applicable publication types)
2. Pub Type > Make > Model (ending at a list of model years for which the pubs apply)
Should both be implemented? Current keyword analysis seems to favor strategy #2, but a others might opt for #1.
Are there completely different alternatives to this strategy?
I welcome your thoughts and feedback.
Thanks,
Jim
Cross-reference information by vehicle make, model, and year, as well as type of publication (Owner Manual, Service Manual, Labor Time Guide, Technical Service Bulletin, Wiring Diagram, etc.)
The site currently has a custom product search engine to take the parameters listed above and return pages of results.
Unfortunately, the spider will not get past the form, so nearly no product pages are indexed.
Should a decision tree of static pages be generated from the data on a semi-regular basis (as product information is updated) to provide a "browse" or "drill-down" navigation alternative to the product search navigation?
The product pages are dynamic URLs with parameters, but my understanding is that Google will index a dynamic URL linked from a static page. (It just won't go any deeper beyond that dynamic page.) True?
If this decision tree resulted in 10-20,000 new pages being added, how would the engines react?
I can think of at least two ways to slice the tree:
1. Make > Model > Year (ending at a list of applicable publication types)
2. Pub Type > Make > Model (ending at a list of model years for which the pubs apply)
Should both be implemented? Current keyword analysis seems to favor strategy #2, but a others might opt for #1.
Are there completely different alternatives to this strategy?
I welcome your thoughts and feedback.
Thanks,
Jim