Search results for "sattuma"

showing 4 items of 4 documents

Spekulaation paluu

2017

Kirja-arvio teoksesta Quentin Meillassoux, Äärellisyyden jälkeen. Tutkielma kontingenssin välttämättömyydestä (Après la finitude. Essai sur la nécessité de la contingence, 2006). Suom. Ari Korhonen. Gaudeamus, Helsinki 2017. 286 s. nonPeerReviewed

Meillassoux Quentin sattuma välttämättömyyskritiikkitietoteoriaontologia (filosofia)realismi (filosofia)metafysiikkakontingenssikorrelationismikirja-arvostelutmaterialismitieteidenvälisyysfilosofiaspekulatiivinen realismispekulatiivinen materialismi
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Voidaanko sattuman rakennetta laskea?

2016

todennäköisyyslaskentamatematiikkaBlaise Pascalsattuma
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Investigating serendipity in recommender systems based on real user feedback

2018

Over the past several years, research in recommender systems has emphasized the importance of serendipity, but there is still no consensus on the definition of this concept and whether serendipitous items should be recommended is still not a well-addressed question. According to the most common definition, serendipity consists of three components: relevance, novelty and unexpectedness, where each component has multiple variations. In this paper, we looked at eight different definitions of serendipity and asked users how they perceived them in the context of movie recommendations. We surveyed 475 users of the movie recommender system, MovieLens regarding 2146 movies in total and compared tho…

ta113Information retrievalComputer scienceSerendipityuutuudetpalautesuosittelujärjestelmätNoveltyserendipityContext (language use)02 engineering and technologyVariation (game tree)Recommender systemunexpectednessPreferenceMovieLenssattumanovelty020204 information systems0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingRelevance (information retrieval)relevancerecommender systemsProceedings of the 33rd Annual ACM Symposium on Applied Computing
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Serendipity in recommender systems

2018

The number of goods and services (such as accommodation or music streaming) offered by e-commerce websites does not allow users to examine all the available options in a reasonable amount of time. Recommender systems are auxiliary systems designed to help users find interesting goods or services (items) on a website when the number of available items is overwhelming. Traditionally, recommender systems have been optimized for accuracy, which indicates how often a user consumed the items recommended by system. To increase accuracy, recommender systems often suggest items that are popular and suitably similar to items these users have consumed in the past. As a result, users often lose interest…

evaluationrecommendation algorithmsKäyttäjätutkimusverkkokauppasuosittelujärjestelmätserendipityoffline experimentsunexpectednessnoveltysattumaevaluation metricsuser studyrelevanssiserendipity metricsalgoritmitserendipisyysrelevancerecommender systemstäsmämarkkinointiarviointipersonalizationverkkopalvelut
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