One thing I&#x27;ve found useful is following specific <i>reviewers</i>. For example, Peter Norvig reviews many, many programming and CS texts.<p>He has both glowing reviews such as this one: <a href="http:&#x2F;&#x2F;www.amazon.com&#x2F;gp&#x2F;review&#x2F;R30AQNQK2I1O7P?ref_=glimp_1rv_cl" rel="nofollow">http:&#x2F;&#x2F;www.amazon.com&#x2F;gp&#x2F;review&#x2F;R30AQNQK2I1O7P?ref_=glimp_1r...</a><p>And scathing ones such as this one: <a href="http:&#x2F;&#x2F;www.amazon.com&#x2F;gp&#x2F;review&#x2F;R2C7L5KHUVHOR2?ref_=glimp_1rv_cl" rel="nofollow">http:&#x2F;&#x2F;www.amazon.com&#x2F;gp&#x2F;review&#x2F;R2C7L5KHUVHOR2?ref_=glimp_1r...</a><p>By following several reviewers I respect in each domain I care about, it&#x27;s not hard to find quality texts (or products) that I&#x27;d never have found by typing words into Amazon&#x27;s search box and looking at average review scores.