Now it does! Searching for words with less than 4 letters did not give search results. All words with 3 or viewer letters were discarded from the search query.

This has been changed. Search this MeetingPoint for “FAQ” and you will get all articles with “FAQ” in title, body, text and/or comments.

When writing a post you can insert images. If you have uploaded an image you can insert this in multiple ways (as a thumbnail for instance). However at the moment unfortunetely the option to insert this image “linked to pop-up” (so that when you hoover over the image the orginal pops up) does not work.

We are fixing this as we speak and will publish it here when it works again. Sorry for the inconvience in the meantime. For your information, in Firefox this all (and more ) works perfectly.

Your 2Yellows MeetingPoint uses MySQL as database. This means that all text (titles, excerpts, body and comments) is stored in one database. To search within this database there are more or less two options. First of all using “regular” search algorithms. These search for the exact presence of words. The downside is that these only search in the title and post body and ginve no relevance/ordening of the results.

Therefor we have implemented a Fulltext search in “natural language mode” in LiveFeed. This means:

• it gives results faster, because it searches at once, instead post by post;
• it searches for concepts. So not only exact matches are found, but also relevant matches, for instance company and enterprise. This depends on the content of your MeetingPoint of course and gets “smarter” the more content you have;
• it uses free text search terms (no “and”, “or” etc necessary);
• it uses complex and theoretically based relevance and ordening of results. For instance, if a match is found in the article AND in a comment, this will result in a higher ranking of this result.
• the search generally will be done in the whole database. Except when you are in specific view (for instance a category) when you give the search order. Then only that category will be searched.