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Compute to tell the tale: Goal-driven narrative generation
Man is by nature a social animal. One important facet of human evolution is through
narrative imagination, be it fictional or factual, and to tell the tale to other individuals. The …
narrative imagination, be it fictional or factual, and to tell the tale to other individuals. The …
Method and system for controlling a user receiving device using voice commands
R Pontual, DE Cansino, YK Chan… - US Patent …, 2018 - Google Patents
(57) ABSTRACT A system and method includes a language processing mod ule converting
an electrical signal corresponding to an audible signal into a textual signal. The system …
an electrical signal corresponding to an audible signal into a textual signal. The system …
Personalization in text information retrieval: A survey
Personalization of information retrieval (PIR) is aimed at tailoring a search toward individual
users and user groups by taking account of additional information about users besides their …
users and user groups by taking account of additional information about users besides their …
Personalizing web search using long term browsing history
N Matthijs, F Radlinski - Proceedings of the fourth ACM international …, 2011 - dl.acm.org
Personalizing web search results has long been recognized as an avenue to greatly
improve the search experience. We present a personalization approach that builds a user …
improve the search experience. We present a personalization approach that builds a user …
Attentive long short-term preference modeling for personalized product search
E-commerce users may expect different products even for the same query, due to their
diverse personal preferences. It is well known that there are two types of preferences: long …
diverse personal preferences. It is well known that there are two types of preferences: long …
Building user profiles from topic models for personalised search
Personalisation is an important area in the field of IR that attempts to adapt ranking
algorithms so that the results returned are tuned towards the searcher's interests. In this work …
algorithms so that the results returned are tuned towards the searcher's interests. In this work …
Probabilistic models for personalizing web search
We present a new approach for personalizing Web search results to a specific user. Ranking
functions for Web search engines are typically trained by machine learning algorithms using …
functions for Web search engines are typically trained by machine learning algorithms using …
Factored MDPs for detecting topics of user sessions
Recommender systems aim to capture interests of users to provide tailored
recommendations. User interests are however often unique and depend on many …
recommendations. User interests are however often unique and depend on many …
Take this personally: Pollution attacks on personalized services
Modern Web services routinely personalize content to appeal to the specific interests,
viewpoints, and contexts of individual users. Ideally, personalization allows sites to highlight …
viewpoints, and contexts of individual users. Ideally, personalization allows sites to highlight …
Recommending personally interested contents by text mining, filtering, and interfaces
S Xu - US Patent 9,171,068, 2015 - Google Patents
Search engine rankings may provide information about selected topics or answer specific
questions. Unfortunately some search engines cannot return the latest information about a …
questions. Unfortunately some search engines cannot return the latest information about a …