41554 blogs · [ { "id": "01a08795-b50b-7117-81c8-07ae6391a5d8", "title": "Let’s talk about sex, mr ChatBot", "url": "https://kimfalk.org/2024/10/20/lets-talk-about-sex-mr-chatbot/", "published_at": "2024-10-20T16:58:43+00:00" }, { "id": "01a08795-b50b-7117-81c8-07ae646c5072", "title": "Cosine similarity doesn’t always make sense", "url": "https://kimfalk.org/2024/06/30/cosine-similarity-doesnt-always-make-sense/", "published_at": "2024-06-30T21:03:07+00:00" }, { "id": "01a08795-b50b-7117-81c8-07ae654b17fd", "title": "Using LLMs doesn’t always help readability.", "url": "https://kimfalk.org/2024/04/16/using-llms-doesnt-always-help-readability/", "published_at": "2024-04-16T10:47:19+00:00" }, { "id": "01a08795-b50b-7117-81c8-07ae661ee31e", "title": "LLMs are great but are not making Recommender systems obsolete (yet)", "url": "https://kimfalk.org/2024/03/05/llms-are-great-but-are-not-making-recommender-systems-obsolete-yet/", "published_at": "2024-03-05T15:00:44+00:00" }, { "id": "01a08795-b50b-7117-81c8-07ae671a298b", "title": "Does the solution have to contain machine learning?", "url": "https://kimfalk.org/2024/01/22/does-the-solution-have-to-contain-machine-learning/", "published_at": "2024-01-22T17:21:33+00:00" }, { "id": "01a08795-b50b-7117-81c8-07ae67c60e38", "title": "January is the month of Experiments.", "url": "https://kimfalk.org/2024/01/03/january-is-the-month-of-experiments/", "published_at": "2024-01-03T14:15:38+00:00" }, { "id": "01a08795-b50b-7117-81c8-07ae68b1ffdd", "title": "The drifty month of January", "url": "https://kimfalk.org/2024/01/02/the-drifty-month-of-january/", "published_at": "2024-01-02T10:43:17+00:00" }, { "id": "01a08795-b50b-7117-81c8-07ae699f4575", "title": "Dont randomize training data for recommender systems.", "url": "https://kimfalk.org/2023/11/29/dont-randomize-training-data-for-recommender-systems/", "published_at": "2023-11-29T19:28:48+00:00" }, { "id": "01a08795-b50b-7117-81c8-07ae69fc9976", "title": "Personalisation is Personal", "url": "https://kimfalk.org/2023/11/10/personalisation-is-personal/", "published_at": "2023-11-10T14:07:37+00:00" }, { "id": "01a08795-b50b-7117-81c8-07ae6a7fa29b", "title": "What is Retrieval Augmented Generation (RAG)", "url": "https://kimfalk.org/2023/10/25/what-is-retrieval-augmented-generation-rag/", "published_at": "2023-10-25T22:39:21+00:00" }, { "id": "01a0bb48-f64c-731e-ae4c-33441840b2c3", "title": "Dialogue summaries with LLM", "url": "https://kimfalk.org/2023/07/03/dialogue-summaries-with-llm/", "published_at": "2023-07-03T07:51:18+00:00" }, { "id": "01a0bb48-f64c-731e-ae4c-334418e328cd", "title": "Token names can change the output of your LLM when creating dialogue summaries", "url": "https://kimfalk.org/2023/07/02/token-names-can-change-the-output-of-your-llm-when-creating-dialogue-summaries/", "published_at": "2023-07-02T18:09:58+00:00" }, { "id": "01a0bb48-f64c-731e-ae4c-334419c72e81", "title": "RecSys Summer School 2023", "url": "https://kimfalk.org/2023/06/19/recsys-summer-school-2023/", "published_at": "2023-06-19T10:27:07+00:00" }, { "id": "01a0bb48-f64c-731e-ae4c-33441abec320", "title": "A book conversation", "url": "https://kimfalk.org/2023/03/27/a-book-conversation/", "published_at": "2023-03-27T20:33:55+00:00" }, { "id": "01a0bb48-f64c-731e-ae4c-33441b23b376", "title": "The book is Out!", "url": "https://kimfalk.org/2019/01/21/book-out/", "published_at": "2019-01-21T15:25:59+00:00" }, { "id": "01a0bb48-f64c-731e-ae4c-33441c05a0ac", "title": "Christmas present recommender", "url": "https://kimfalk.org/2017/11/21/christmas-present-recommender/", "published_at": "2017-11-21T10:05:14+00:00" }, { "id": "01a0bb48-f64c-731e-ae4c-33441c2d7643", "title": "RecSys 2017", "url": "https://kimfalk.org/2017/09/08/recsys-2017/", "published_at": "2017-09-08T12:12:57+00:00" }, { "id": "01a0bb48-f64c-731e-ae4c-33441ceb336d", "title": "Recommending a Recommender summer project", "url": "https://kimfalk.org/2017/06/18/recommending-a-recommender-summer-project/", "published_at": "2017-06-18T13:29:00+00:00" }, { "id": "01a0bb48-f64c-731e-ae4c-33441d88664e", "title": "Can copy-paste behaviour predict film taste?", "url": "https://kimfalk.org/2015/12/03/can-copy-paste-behaviour-predict-film-taste/", "published_at": "2015-12-03T13:13:54+00:00" }, { "id": "01a0bb48-f64c-731e-ae4c-33441dba6359", "title": "Excerpt from my book on Dzone", "url": "https://kimfalk.org/2015/09/09/excerpt-from-my-book-on-dzone/", "published_at": "2015-09-09T19:52:58+00:00" }, { "id": "01a0bb56-7c3a-71a0-8fdd-f3ee75957817", "title": "Introducing Practical Recommender Systems", "url": "https://kimfalk.org/2015/07/31/introducing-practical-recommender-systems/", "published_at": "2015-07-31T11:31:49+00:00" }, { "id": "01a0bb56-7c3a-71a0-8fdd-f3ee760ccdda", "title": "Big Data, The silver bullet ?", "url": "https://kimfalk.org/2014/11/13/big-data-the-silver-bullet/", "published_at": "2014-11-13T13:21:25+00:00" }, { "id": "01a0bb56-7c3a-71a0-8fdd-f3ee76ebfeef", "title": "Everybody is Talking About Big Data.", "url": "https://kimfalk.org/2014/11/10/everybody-is-talking-about-big-data/", "published_at": "2014-11-10T12:37:51+00:00" } ] posts Claim your blog

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2024

Let’s talk about sex, mr ChatBot original ↗

20 Oct 2024

Cosine similarity doesn’t always make sense original ↗

30 Jun 2024

Using LLMs doesn’t always help readability.original ↗

16 Apr 2024

LLMs are great but are not making Recommender systems obsolete (yet)original ↗

5 Mar 2024

Does the solution have to contain machine learning?original ↗

22 Jan 2024

January is the month of Experiments.original ↗

3 Jan 2024

The drifty month of January original ↗

2 Jan 2024

2023

Dont randomize training data for recommender systems.original ↗

29 Nov 2023

Personalisation is Personal original ↗

10 Nov 2023

What is Retrieval Augmented Generation (RAG)original ↗

25 Oct 2023

Dialogue summaries with LLM original ↗

3 Jul 2023

Token names can change the output of your LLM when creating dialogue summaries original ↗

2 Jul 2023

RecSys Summer School 2023 original ↗

19 Jun 2023

A book conversation original ↗

27 Mar 2023

2019

The book is Out!original ↗

21 Jan 2019

2017

Christmas present recommender original ↗

21 Nov 2017

RecSys 2017 original ↗

8 Sept 2017

Recommending a Recommender summer project original ↗

18 Jun 2017

2015

Can copy-paste behaviour predict film taste?original ↗

3 Dec 2015

Excerpt from my book on Dzone original ↗

9 Sept 2015

Introducing Practical Recommender Systems original ↗

31 Jul 2015

2014

Big Data, The silver bullet ?original ↗

13 Nov 2014

Everybody is Talking About Big Data.original ↗

10 Nov 2014