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March 28, 2018, 05:10:57 AM |
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The logical machine of Individual Assistant in conjunction with the above described GDP, Rating, Taglang, Semantic field and Interest Matrix services, provides a possibility to create a new, efficient and personalized type of predictive search engines, the capabilities of which may seem dreamlike to many.
Based on the laws of logic and comparing the accumulated data such systems makes assumptions that go beyond the scope of direct search queries. To a certain degree the predictive search can be compared to the way our brain functions if you come to a place important to you from your childhood together with a friend, your memory will have flashbacks related to both of them. In a similar way, the engine will take into account all components and will choose results that most closely correspond not only to the query itself, but also to the search history, preferences, context, geolocation and other parameters, including semantically relevant data.
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