Add to ORKGTwenty-Sixth International Joint Conference on Artificial Intelligence (IJCAI-17), Melbourne, Australia, August 19-25 2017User-generated reviews are a plentiful source of user opinions and interests and can play an important role in a range of artificial intelligence contexts, particularly when it comes to recommender systems. In this paper, we describe how natural language processing and opinion mining techniques can be used to automatically mine useful recommendation knowledge from user generated reviews and how this information can be used by recommender systems in a number of classical settings.Science Foundation Irelan
24th International Conference, ICCBR 2016, Atlanta, Georgia, USA, 31 October - 02 November 2016E-com...
In marketing and advertising domains Opinion Mining is being larger domain. Advertiser as well as cu...
This research paper proposes a rating-based recommender system that leverages Natural Language Proce...
Twenty-Sixth International Joint Conference on Artificial Intelligence (IJCAI-17), Melbourne, Austra...
22nd International Conference on Case-Based Reasoning, Cork, Ireland, 29 September - 01 October 2014...
To address rating sparsity problem, various review-based recommender systems have been developed in ...
With the recent development of Natural Language Processing (NLP), it is possible to extract sentimen...
In this paper we present a methodology to justify the suggestions generated by a recommendation algo...
This paper describes the part of recommender system designed for movies ’ critics recognition. Such ...
This paper reports and summarizes the methodology presented in [16] and accepted for publication at ...
Recommender systems help users by recommending items, such as products and services, that can be of ...
International audienceThis paper describes the part of recommender system designed for movies' criti...
Abstract: Sentiment analysis, also known as Opinion Mining, is an essential aspect of Natural Langua...
Traditionally, recommender systems have relied on user preference data (such as ratings) and product...
In this article, we present a framework to build post hoc natural language justifications that suppo...
24th International Conference, ICCBR 2016, Atlanta, Georgia, USA, 31 October - 02 November 2016E-com...
In marketing and advertising domains Opinion Mining is being larger domain. Advertiser as well as cu...
This research paper proposes a rating-based recommender system that leverages Natural Language Proce...
Twenty-Sixth International Joint Conference on Artificial Intelligence (IJCAI-17), Melbourne, Austra...
22nd International Conference on Case-Based Reasoning, Cork, Ireland, 29 September - 01 October 2014...
To address rating sparsity problem, various review-based recommender systems have been developed in ...
With the recent development of Natural Language Processing (NLP), it is possible to extract sentimen...
In this paper we present a methodology to justify the suggestions generated by a recommendation algo...
This paper describes the part of recommender system designed for movies ’ critics recognition. Such ...
This paper reports and summarizes the methodology presented in [16] and accepted for publication at ...
Recommender systems help users by recommending items, such as products and services, that can be of ...
International audienceThis paper describes the part of recommender system designed for movies' criti...
Abstract: Sentiment analysis, also known as Opinion Mining, is an essential aspect of Natural Langua...
Traditionally, recommender systems have relied on user preference data (such as ratings) and product...
In this article, we present a framework to build post hoc natural language justifications that suppo...
24th International Conference, ICCBR 2016, Atlanta, Georgia, USA, 31 October - 02 November 2016E-com...
In marketing and advertising domains Opinion Mining is being larger domain. Advertiser as well as cu...
This research paper proposes a rating-based recommender system that leverages Natural Language Proce...