Essays about: "recommender systems"

Showing result 31 - 35 of 136 essays containing the words recommender systems.

  1. 31. The perceived effect of filter bubbles: A qualitative study on recommender systems on young adults

    University essay from Södertörns högskola

    Author : Isabella Giös; [2021]
    Keywords : filter bubbles; media technology; algorithms; social media; youths and social media; filterbubblor; sociala medier; medieteknik;

    Abstract : In a digital world where many people use social media and consume a lot of content online, it may have an impact on our attitudes and behaviours. This paper explores attitudes surrounding recommender systems, filter bubbles and the perceived impact of these topics. READ MORE

  3. 32. Comparasion of recommender systems for stock inspiration

    University essay from Linköpings universitet/Programvara och system

    Author : Nils Broman; [2021]
    Keywords : recommender system; Matrix Factorization; LightGCN; Investments;

    Abstract : Recommender systems are apparent in our lives through multiple different ways, such asrecommending what items to purchase when online shopping, recommending movies towatch and recommending restaurants in your area. This thesis aims to apply the sametechniques of recommender systems on a new area, namely stock recommendations basedon your current portfolio. READ MORE

  4. 33. Text Content Features for Hybrid Recommendations : Pre-trained Language Models for Better Recommendations

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Mariya Lazarova; [2021]
    Keywords : Recommendation Systems; Natural Language Processing; Pre-trained language models; BERT; Two-tower networks; Rekommendationssystem; Naturlig språkbehandling; Förtränande språkmodeller; BERT; Två-tornnätverk.;

    Abstract : Nowadays, with the ever growing availability of options in many areas of our lives, it is crucial to have good ways to navigate your choices. This is why recommendation engines’ role is growing more important. Recommenders are often based on user-item interaction. READ MORE

  5. 34. Evaluating the personalisation potential in local news

    University essay from Linköpings universitet/Institutionen för datavetenskap

    Author : Fredrik Angström; Petra Faber; [2021]
    Keywords : Personalisation; Recommender systems; News; Media; Recommender algorithms;

    Abstract : Personalisation of content is a frequently used technique intended to improve user engagement and provide more value to users. Systems designed to provide recommendations to users are called recommender systems and are used in many different industries. READ MORE

  6. 35. A Recommender System for Suggested Sites using Multi-Armed Bandits : Initialising Bandit Contexts by Neural Collaborative Filtering

    University essay from Linköpings universitet/Institutionen för datavetenskap

    Author : William Stenberg; [2021]
    Keywords : Recommender Systems; Neural Collaborative Filtering; Multi-Armed Bandits;

    Abstract : The abundance of information available on the internet necessitates means of quickly finding what is relevant for the individual user. To this end, there has been much research concerning recommender systems and lately specifically methods using deep learning for such systems. READ MORE