What's the Buzz About? An Empirical Examination of Search on Yahoo!  

We present an analysis of the Yahoo Buzz Index over a period of 45 weeks. Our key findings are that: (1) It is most common for a search term to show up on the index for one week, followed by two weeks, three weeks, etc. Only two terms persist for all 45 weeks studied — Britney Spears and Jennifer Lopez. Search term longevity follows a power–law distribution or a winner–take–all structure; (2) Most search terms focus on entertainment. Search terms related to serious topics are found less often. The Buzz Index does not necessarily follow the "news cycle"; and, (3) We provide two ways to determine "star power" of various search terms — one that emphasizes staying power on the Index and another that emphasizes rank. In general, the methods lead to dramatically different results. Britney Spears performs well in both methods. We conclude that the data available on the Index is symptomatic of a celebrity–crazed, entertainment–centered culture.

Bladow, Nicole, Cari Dorey, Liz Frederickson, Pavla Grover, Yvette Knudtson, Sandeep Krishnamurthy and Voula Lazarou. First Monday (2005). Articles>Web Design>Search>Assessment

Testing Search for Relevancy and Precision

Despite the fact that site search often receives the most traffic, it’s also the place where the user experience designer bears the least influence. Few tools exist to appraise the quality of the search experience, much less strategize ways to improve it. When it comes to site search, user experience designers are often sidelined like the single person at an old flame’s wedding: Everything seems to be moving along without you, and if you slipped out halfway through, chances are no one would notice. But relevancy testing and precision testing offer hope. These are two tools you can use to analyze and improve the search user experience.

Ferrara, John. List Apart, A (2009). Articles>Web Design>Search>Assessment

Beyond Goals: Site Search Analytics from the Bottom Up

While goal-driven analysis is wonderfully useful, we’ll explore a different, “bottom-up” approach that relies on pattern analysis and failure analysis to help you understand your users’ intent in qualitative ways that complement the top-down approach.

Rosenfeld, Louis. List Apart, A (2009). Articles>Web Design>Search>Assessment