Recommender systems play a significant role in reducing information overload for people visiting online sites, but their accuracy could be improved by using data from online social networks and electronic communication tools

Social recommender systems utilize data regarding users’ social relationships in filtering relevant information to users. To date, results show that incorporating social relationship data – beyond consumption profile similarity – is beneficial only in a very limited set of cases. The main...

Einleitung -- Die klassiche Mundpropaganda (Word-of-Mouth) -- Die digitale Mundpropaganda (Electronic Word-of-Mouth) -- Glaubwürdigkeit -- Kommunikator -- Botschaft -- Normative soziale Einflüsse -- Fazit.

Using a large database of analysts' target prices and recommendations issued over the period 1999-2011, this paper documents the presence of inconsistencies between recommendation and implied return in the sell-side analysts' target prices, and analyzes its impact on market prices. In...