We propose a cross-lingual keyword recommendation method, which is built on an extended latent Dirichlet allocation model, for extracting latent features from ...
It helps recommender systems extract content information from broader sources. It also enables systems to recommend items in a user's native language. We ...
We propose a cross-lingual keyword recommenda-tion method, which is built on an extended latent Dirichlet allocation model, for extracting latent features from ...
Cross-Lingual Latent Topic Extraction. In Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics, pages 1128–1137, Uppsala, ...
Missing: keyword recommendation
In this paper, we propose a novel topic model, called Probabilistic Cross-Lingual Latent Seman- tic Analysis (PCLSA) model, which can be used to mine shared ...
Missing: keyword recommendation
We use textual reviews to support the ratings in the latent factor model. •. A review is interpreted as a description of the user/item and a description of ...
Cross-Language Information Retrieval with Latent Topic Models Trained ...
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In this paper we study cross-language information retrieval using a bilingual topic model trained on comparable corpora such as Wikipedia articles.
2018, Encyclopedia of Social Network Analysis and Mining. 2nd Ed. Cross-lingual keyword recommendation using latent topics.
Mar 27, 2024 · We propose a novel neural cross-lingual topic model with a new topic alignment with mutual information method that can prevent degenerate topic ...
Missing: recommendation | Show results with:recommendation
In this paper we study cross-language information retrieval using a bilingual topic model trained on comparable corpora such as Wikipedia articles. The ...