You might recall another post I made regarding search engine research and development, particularly in the area of information retrieval (IR) aids for users. In this posting I summarised Belkin's research and theories regarding the Anomalous State of Knowledge (ASK). Most of this and subsequent research has sought to introduce IR aids for the user so that they can better solve their ASK conundrum. This assistance varies but often takes the form of query expansion (in its various permutations), browsable subject trees to stimulate query formulation, relevance feedback, and so forth. Providing such tools in systems based on automatic indexing is difficult, but we noted that some search engines have introduced some effective retrieval aids, all designed to alleviate the ASK problem. For example, Yahoo! provides its search assist tool, Clusty provides related concept clusters, and Ask provides other similar tools. Their accuracy in IR varies widely, but overall they prove useful to user. Unfortunately, we also noted that Google provides few user aids comparable to those above, arguably relying more on its PageRank algorithm. Not any longer...
Today Google launched some interface functionality not dissimilar to Yahoo! search assist and Clusty. Their assistance provides some suggested related searches and some extra result summary text for particular results. Receiving this assistance depends on the nature of your query, so have a look at this canned search: 'communism in Russia'. This isn't bad and is better than nothing; but does it really measure up to the aids provided by competing search engines? Compare the results for these canned searches and the IR aids provided for the user by the systems we've discussed already:
- Yahoo! search assist: query term = communism in Russia
- Clusty: query term = communism in Russia
- Ask: query term = communism in Russia
It is good to see Google deploying user query aids and reacting to developments in other IR systems, but it appears that it will be some time before Google can be said to alleviate users' Anomalous State of Knowledge.