private:robustlinks
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2851709
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May 31st, 2019 12:00AM
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RobustLinks
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9
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1.00
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Open
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Internet
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May 31st, 2019 01:40PM
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May 31st, 2019 01:40PM
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The mission of RobustLinks is to use state of the art AI, NLP, and ML to compose what we call Knowledge as a Service (KaaS). The service builds and refines a probabilistic model of user demographic and interests. Given only one or more geolocations KaaS can infer an eleven dimensional probabilistic model of the user demographics. KaaS can also consume unstructured, "snack sized", idiosyncratic textual data (e.g. social media feed) and infer its semantics. It integrates end-to-end technology stack that continuously gather, summarize and represent the semantics of unstructured text, in real-time and at scale. The derived semantics is then analyzed to condense the big data to a compact and searchable semantic graph. We use IR, not semantic web, paradigms and tools.
BigSieve is one consumer facing application that we have built on top of KaaS layer. In BigSieve users opt-in to share their location and access to their social media feed. BigSieve then uses KaaS to continuously update a model of the user demographics and interests and match them to items in the application domain, messages or other users.
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Open
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AI, ML, NLP
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Open
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504 Grand S, Unit B32
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New York
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New York
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US
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10002418
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Robust Links
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private:robustlinks
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2851709
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Mar 19th, 2018 12:00AM
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RobustLinks
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7
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1.00
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Open
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Internet
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Mar 18th, 2018 10:12PM
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Mar 18th, 2018 10:12PM
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Open
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Robust Links
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private:robustlinks
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2851709
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Feb 17th, 2018 12:00AM
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RobustLinks
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6
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1.00
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Open
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Internet
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Feb 17th, 2018 02:25PM
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Feb 17th, 2018 02:25PM
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The mission of RobustLinks is to use state of the art AI, NLP, and ML to compose what we call Knowledge as a Service (KaaS). The service builds and refines a probabilistic model of user demographic and interests. Given only one or more geolocations KaaS can infer an eleven dimensional probabilistic model of the user demographics. KaaS can also consume unstructured, "snack sized", idiosyncratic textual data (e.g. social media feed) and infer its semantics. It integrates end-to-end technology stack that continuously gather, summarize and represent the semantics of unstructured text, in real-time and at scale. The derived semantics is then analyzed to condense the big data to a compact and searchable semantic graph. We use IR, not semantic web, paradigms and tools.
BigSieve is one consumer facing application that we have built on top of KaaS layer. In BigSieve users opt-in to share their location and access to their social media feed. BigSieve then uses KaaS to continuously update a model of the user demographics and interests and match them to items in the application domain, messages or other users.
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Robust Links
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private:robustlinks
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2851709
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Feb 16th, 2018 12:00AM
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RobustLinks
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6
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1.00
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Open
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Internet
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Feb 16th, 2017 08:15AM
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Feb 16th, 2017 08:15AM
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The mission of RobustLinks is to use state of the art AI, NLP, and ML to compose what we call Knowledge as a Service (KaaS). The service builds and refines a probabilistic model of user demographic and interests. Given only one or more geolocations KaaS can infer an eleven dimensional probabilistic model of the user demographics. KaaS can also consume unstructured, "snack sized", idiosyncratic textual data (e.g. social media feed) and infer its semantics. It integrates end-to-end technology stack that continuously gather, summarize and represent the semantics of unstructured text, in real-time and at scale. The derived semantics is then analyzed to condense the big data to a compact and searchable semantic graph. We use IR, not semantic web, paradigms and tools.
BigSieve is one consumer facing application that we have built on top of KaaS layer. In BigSieve users opt-in to share their location and access to their social media feed. BigSieve then uses KaaS to continuously update a model of the user demographics and interests and match them to items in the application domain, messages or other users.
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Robust Links
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private:robustlinks
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2851709
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Feb 15th, 2018 12:00AM
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RobustLinks
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6
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1.00
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Open
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Internet
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Feb 15th, 2017 10:07AM
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Feb 15th, 2017 10:07AM
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The mission of RobustLinks is to use state of the art AI, NLP, and ML to compose what we call Knowledge as a Service (KaaS). The service builds and refines a probabilistic model of user demographic and interests. Given only one or more geolocations KaaS can infer an eleven dimensional probabilistic model of the user demographics. KaaS can also consume unstructured, "snack sized", idiosyncratic textual data (e.g. social media feed) and infer its semantics. It integrates end-to-end technology stack that continuously gather, summarize and represent the semantics of unstructured text, in real-time and at scale. The derived semantics is then analyzed to condense the big data to a compact and searchable semantic graph. We use IR, not semantic web, paradigms and tools.
BigSieve is one consumer facing application that we have built on top of KaaS layer. In BigSieve users opt-in to share their location and access to their social media feed. BigSieve then uses KaaS to continuously update a model of the user demographics and interests and match them to items in the application domain, messages or other users.
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Robust Links
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private:robustlinks
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2851709
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Feb 14th, 2018 12:00AM
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RobustLinks
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6
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1.00
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Open
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Internet
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Feb 14th, 2017 01:50PM
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Feb 14th, 2017 01:50PM
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The mission of RobustLinks is to use state of the art AI, NLP, and ML to compose what we call Knowledge as a Service (KaaS). The service builds and refines a probabilistic model of user demographic and interests. Given only one or more geolocations KaaS can infer an eleven dimensional probabilistic model of the user demographics. KaaS can also consume unstructured, "snack sized", idiosyncratic textual data (e.g. social media feed) and infer its semantics. It integrates end-to-end technology stack that continuously gather, summarize and represent the semantics of unstructured text, in real-time and at scale. The derived semantics is then analyzed to condense the big data to a compact and searchable semantic graph. We use IR, not semantic web, paradigms and tools.
BigSieve is one consumer facing application that we have built on top of KaaS layer. In BigSieve users opt-in to share their location and access to their social media feed. BigSieve then uses KaaS to continuously update a model of the user demographics and interests and match them to items in the application domain, messages or other users.
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Robust Links
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private:robustlinks
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2851709
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Feb 13th, 2018 12:00AM
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RobustLinks
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6
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1.00
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Open
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Internet
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Feb 13th, 2017 04:11PM
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Feb 13th, 2017 04:11PM
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The mission of RobustLinks is to use state of the art AI, NLP, and ML to compose what we call Knowledge as a Service (KaaS). The service builds and refines a probabilistic model of user demographic and interests. Given only one or more geolocations KaaS can infer an eleven dimensional probabilistic model of the user demographics. KaaS can also consume unstructured, "snack sized", idiosyncratic textual data (e.g. social media feed) and infer its semantics. It integrates end-to-end technology stack that continuously gather, summarize and represent the semantics of unstructured text, in real-time and at scale. The derived semantics is then analyzed to condense the big data to a compact and searchable semantic graph. We use IR, not semantic web, paradigms and tools.
BigSieve is one consumer facing application that we have built on top of KaaS layer. In BigSieve users opt-in to share their location and access to their social media feed. BigSieve then uses KaaS to continuously update a model of the user demographics and interests and match them to items in the application domain, messages or other users.
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Robust Links
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private:robustlinks
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2851709
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Feb 12th, 2018 12:00AM
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RobustLinks
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6
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1.00
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Open
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Internet
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Feb 12th, 2017 04:15AM
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Feb 12th, 2017 04:15AM
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The mission of RobustLinks is to use state of the art AI, NLP, and ML to compose what we call Knowledge as a Service (KaaS). The service builds and refines a probabilistic model of user demographic and interests. Given only one or more geolocations KaaS can infer an eleven dimensional probabilistic model of the user demographics. KaaS can also consume unstructured, "snack sized", idiosyncratic textual data (e.g. social media feed) and infer its semantics. It integrates end-to-end technology stack that continuously gather, summarize and represent the semantics of unstructured text, in real-time and at scale. The derived semantics is then analyzed to condense the big data to a compact and searchable semantic graph. We use IR, not semantic web, paradigms and tools.
BigSieve is one consumer facing application that we have built on top of KaaS layer. In BigSieve users opt-in to share their location and access to their social media feed. BigSieve then uses KaaS to continuously update a model of the user demographics and interests and match them to items in the application domain, messages or other users.
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Robust Links
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private:robustlinks
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2851709
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Feb 11th, 2018 12:00AM
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RobustLinks
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6
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1.00
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Open
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Internet
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Feb 11th, 2017 05:35AM
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Feb 11th, 2017 05:35AM
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The mission of RobustLinks is to use state of the art AI, NLP, and ML to compose what we call Knowledge as a Service (KaaS). The service builds and refines a probabilistic model of user demographic and interests. Given only one or more geolocations KaaS can infer an eleven dimensional probabilistic model of the user demographics. KaaS can also consume unstructured, "snack sized", idiosyncratic textual data (e.g. social media feed) and infer its semantics. It integrates end-to-end technology stack that continuously gather, summarize and represent the semantics of unstructured text, in real-time and at scale. The derived semantics is then analyzed to condense the big data to a compact and searchable semantic graph. We use IR, not semantic web, paradigms and tools.
BigSieve is one consumer facing application that we have built on top of KaaS layer. In BigSieve users opt-in to share their location and access to their social media feed. BigSieve then uses KaaS to continuously update a model of the user demographics and interests and match them to items in the application domain, messages or other users.
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Robust Links
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private:robustlinks
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2851709
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Feb 10th, 2018 12:00AM
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RobustLinks
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6
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1.00
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Open
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Internet
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Feb 10th, 2017 06:43AM
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Feb 10th, 2017 06:43AM
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The mission of RobustLinks is to use state of the art AI, NLP, and ML to compose what we call Knowledge as a Service (KaaS). The service builds and refines a probabilistic model of user demographic and interests. Given only one or more geolocations KaaS can infer an eleven dimensional probabilistic model of the user demographics. KaaS can also consume unstructured, "snack sized", idiosyncratic textual data (e.g. social media feed) and infer its semantics. It integrates end-to-end technology stack that continuously gather, summarize and represent the semantics of unstructured text, in real-time and at scale. The derived semantics is then analyzed to condense the big data to a compact and searchable semantic graph. We use IR, not semantic web, paradigms and tools.
BigSieve is one consumer facing application that we have built on top of KaaS layer. In BigSieve users opt-in to share their location and access to their social media feed. BigSieve then uses KaaS to continuously update a model of the user demographics and interests and match them to items in the application domain, messages or other users.
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Robust Links
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