Tag: yahoo api

I've been working on AJAX Tagger version 2 and it's ready for everyday use! It leverages APIs from Yahoo, Amazon, Flickr, and Technorati, along with Wikipedia and even your own site's content to find related articles. It's all AJAX-based, uses a unique request queue, and outputs in both OPML and HTML. Plus, it even suggests related Amazon products. Currently, it's IE-only, so check it out at www.kinlan.co.uk/AjaxExperiments/AjaxTag2 and let me know your thoughts! The UI/UX needs some polish, but that's next on my list.

I've added a new search feature to my site that uses the Yahoo API to find related articles based on keywords. You can test it out at http://www.kinlan.co.uk/AjaxExperiments/AjaxTag. It's a work in progress, but more features are coming soon!

This blog post introduces a Perl proxy script that leverages the Yahoo Related Suggestions API. Given a search term, the script queries Yahoo and returns a list of related search terms. This can be used to enhance search functionality by providing users with additional relevant search options. An example is given using the term "Kinlan" and the post links to a previous entry describing a proxy for the main Yahoo search API. The provided code snippet demonstrates how to construct the API call using LWP and CGI, requiring a valid Yahoo App ID.

This is the fourth installment of my AJAX application development journey. I integrated the Technorati API, focusing on the Tag Query to gauge keyword popularity and refine tag selection for better exposure. While the API was helpful, it lacked features like tag ranking and related tags, and the TagQuery's slow performance forced its removal. Future development will involve optimizing the TagQuery (limiting results or using an asynchronous call manager) and potentially requesting a lightweight metadata interface from Technorati.

In this third part of my series on my first AJAX application, I'm diving into the power of the Yahoo! API. It's been a learning experience, and I'm incredibly impressed with how much it offers compared to Google's. I've been exploring the Term Extraction and Related Searches APIs, and I'm starting to think about how to use the Contextual Search API. The Term Extraction API is great for pulling out keywords, while the Related Searches API helps me find relevant search queries. My app combines these to analyze blog posts and generate related searches. I'm hoping to use the Contextual Search API to add targeted search results. Future versions will incorporate more APIs, possibly from Technorati, to enhance functionality. Stay tuned!