Posts Tagged ‘search algorithm’

AlphaSense Wins Best Sell-Side Analytics Product 2014


Jake Thomases of Waters Technology reports that AlphaSense has won the Best Sell-Side Analytics Product award at the Sell-Side Technology Awards. In his profile on the company, Thomases writes, “Searching through endless regulatory filings, company presentations, earnings call transcripts, news releases, and other research is an interminable and eye-glazing process. Electronifying those documents has allowed analysts to perform keyword searches, although they still had to search each document for every keyword variation individually.” Read more

Why Google’s Hummingbird is a Big Deal


Gerry Brown of Business Insider recently wrote, “Last week, Google announced a brand new algorithm for its search engine, called Hummingbird. Although Google often produces updates and enhancements (such as the ‘Caffeine Update’ in 2010, and ‘Penguin’ and ‘Panda’ since), the last time Google introduced a brand new algorithm was 2001, so it is a big change. Although Google has not given away many details, it said that Hummingbird is focused on ranking information based on a more intelligent understanding of search requests. As Internet data volumes explode we increasingly have to type more and more words into Google Search to gain greater accuracy of results. Often we need to conduct multiple searches to find the information we are looking for, which is frustrating and time consuming.” Read more

Wolfram Alpha on Semantic Understanding & Democratized Data

Mastufa Ahmed recently interviewed Luc Barthelet, Executive Director of Wolfram|Alpha to learn more about the company’s search algorithm. Asked about what semantic web technologies Wolfram uses, Barthelet responded, “Wolfram|Alpha is not searching the Semantic Web per se. It takes search queries and maps them to an exact semantic understanding of the query, which is then processed against its curated knowledge base. The main technology used is Mathematica whose language is used to describe the semantic queries, and Mathematica technology is used to build up the natural language parser, the data curation pipeline and perform the data processing, computation and visualization.” Read more