Our findings are that evidence that is both query- and user-independent is not effective for improving a standard retrieval model using blind feedback. User- ...
The aim is to understand to what extent book suggestions are related to user- dependent and -independent aspects of relevance, and to look at the impact of ...
PDF | In this paper we describe our participation in INEX 2012 in the Social Book Search Track and the Linked Data Track. For the Social Book Search.
Mar 10, 2023 · Bibliographic details on Using Collaborative Filtering in Social Book Search.
Using Collaborative Filtering in Social Book Search · PDF · Google Scholar · Internet Archive Scholar · Semantic Scholar ...
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Therefore, this research work presents matrix factorization collaborative filtering with some performance enhancement to overcome cold start problem. In ...
May 2, 2023 · RS systems use Collaborative Filtering (CF) to generate lists of items similar to the buyer's preferences. Collaborative filtering is based on ...
Jun 4, 2021 · The main approach is to filter the recommendations, and this can be achieved either by Content-Based filtering or by Collaborative Filtering.
Mar 11, 2023 · This research work presents matrix factorization collaborative filtering with some performance enhancement to overcome cold start problem.
Dec 15, 2023 · Collaborative filtering is a widely used technique for providing personalized recommendations to users. However, traditional collaborative ...