Samuele Garda, Ralf Krestel, Julian Risch
Our paper "Book Recommendations Beyond the Usual Suspects: Embedding Book Plots Together with Place and Time Information" has been accepted for presentation at the International Conference on Asia-Pacific Digital Libraries (ICADL). The conference takes place November 19-22 this year in at the University of Waikato, Hamilton, New Zealand. The publication can be downloaded here. We also published sourcecode and a dataset.
Book Recommendations Beyond the Usual Suspects: Embedding Book Plots Together with Place and Time Information
Content-based recommendation of books and other media is usually based on semantic similarity measures. While metadata can be compared easily, measuring the semantic similarity of narrative literature is challenging. Keyword-based approaches are biased to retrieve books of the same series or do not retrieve any results at all in sparser libraries. We propose to represent plots with dense vectors to foster semantic search for similar plots even if they do not have any words in common. Further, we propose to embed plots, places, and times in the same embedding space. Thereby, we allow arithmetics on these aspects. For example, a book with a similar plot but set in a different, user-specified place can be retrieved. We evaluate our findings on a set of 16,000 book synopses that spans literature from 500 years and 200 genres and compare our approach to a keyword-based baseline.