Search technology as we know is changing rapidly. Below are some of the key innovations happening in search technology today.
Specialized Search
Engines: The landscape is increasingly competitive and getting more
nuanced. There are search engines like Wolfram Alpha, which is a computational
knowledge engine. Blekko is a curated search
engine, which focuses on cutting out the non-relevant search results.
DuckDuckGo is user friendly and privacy friendly search, which does not store
the user’s search history. These engines fill a niche gap in the market and
provide more accurate and targeted search results for users. While they have
not reached any significant scale, they do have the potential to grow their respective
user bases rapidly and take away market share from larger players.
Search Advertisements: There is a lot of room to improve search advertisements to make search
also about engagement and not just clicks and conversions. This aspect of
search is likely to see huge investments as it has the potential to attract the
attention of marketers who want an outcome-driven search not an output-driven
search.
Search Relevance: Most search engineers and
professionals believe that search is far from reaching its potential and are
constantly innovating to get more accurate search results. Search fragmentation as indicated by the
rise of search volume on sites like YouTube and MySpace will lead to results
being refined based on what site users are searching from rather than just what
they searching for.
Search Retargeting: While advertiser interest in behavioral
targeting is very strong, actual investment is still low. This market is ripe
for more growth and innovation and likely to rise in importance in the near
term.
Mobile Search: Mobile devices and tablet computers are
increasingly becoming more sophisticated and feature rich and are slowly
replacing most of the traditional functions performed by a PC. Search engines
are competing heavily to capture a greater market share in the emerging market require the integration of new feature sets
to maximize usefulness.
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