Ecommerce & Big Data
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Patent US7113917 - Personalized recommendations of items represented within a database

Patent US7113917 - Personalized recommendations of items represented within a database | Ecommerce & Big Data | Scoop.it
A computer-implemented service recommends items to a user based on items previously selected by the user, such as items previously purchased, viewed, or placed in an electronic shopping cart by the user. The items may, for example, be products represented within a database of an online merchant. In one embodiment, the service generates the recommendations using a previously generated table that maps items to respective lists of “similar” items. To generate the table, historical data indicative of users' affinities for particular items is processed periodically to identify correlations between item interests of users (e.g., items A and B are similar because a large portion of those who selected A also selected B). Personal recommendations are generated by accessing the table to identify items similar to those selected by the user. In one embodiment, items are recommended based on the current contents of a user's shopping cart.
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Consommateur : l'enjeu de la personnalisation

Consommateur : l'enjeu de la personnalisation | Ecommerce & Big Data | Scoop.it
80% des directions marketing digital pensent que la personnalisation sera la clé du succès de leurs initiatives dans les deux prochaines années, et 51% annonce que c'est déjà le cas.
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Recommendation Engines Are Crucial For Positive User Experiences

Recommendation Engines Are Crucial For Positive User Experiences | Ecommerce & Big Data | Scoop.it
With the ever-increasing amount of data, recommendation engines will only become better in the future. What does this mean for organisations and for consumers?
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Why You Should Not Build a Recommendation Engine - Data Community DC

Why You Should Not Build a Recommendation Engine - Data Community DC | Ecommerce & Big Data | Scoop.it
Unless you have the domain expertise, algorithm development skill, massive inventory, and frictionless user data entry design to build your vision of the Pandora for X your recommendation engine will not be the milkshake that brings all the boys to the yard.
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