In this paper, we propose a serendipity-oriented, reranking algorithm called a serendipity-oriented greedy (SOG) algorithm, which improves serendipity of recommendations through feature diversification and helps overcome the overspecialization problem. To evaluate our algorithm, we employed the only ...
For problem 2, currently, we retain the join order generated by the row-based optimizer (which means the join plans of its own are regarded as the product of the heuristic algorithm). In the case of a large number of tables, IMCI only enumerates some join plans. On this basis, we add...
An admissible heuristic ensures that the predicted cost is always less than or equal to the actual cost and helps drive the search correctly (only for A* search). While the Dijkstra’s algorithm only uses the greediest next step, A* uses the next cost as well as the heuristic. Figure 6...
Without keys, Vue uses an algorithm that minimizes element movement and tries to patch/reuse elements of the same type in-place as much as possible. With keys, it will reorder elements based on the order change of keys, and elements with keys that are no longer present will always be ...
For example, when I say “this algorithm is in O( some_function() )”, it means that for a certain amount of data the algorithm needs some_function(a_certain_amount_of_data) operations to do its job. What’s important isnot the amount of data butthe way the number of operations inc...
but not Impossible by kaiokendev: This blog post introduces the SuperHOT technique and provides an excellent survey of related work. 👷 The LLM Engineer W.I.P. Contributions Feel free to contact me if you think other topics should be mentioned or if the current architecture can be improved....