chore(ALGO_PARAMS.md): Fix typo

ALGO_PARAMS.md

@@ -27,5 +27,5 @@ ef_construction leads to longer construction, but better index quality. At some
 not improve the quality of the index. One way to check if the selection of ef_construction was ok is to measure a recall 
 for M nearest neighbor search when ```ef``` =```ef_construction```: if the recall is lower than 0.9, than there is room 
 for improvement.
-* ```num_elements``` - defines the maximum number of elements in the index. The index can be extened by saving/loading(load_index
+* ```num_elements``` - defines the maximum number of elements in the index. The index can be extended by saving/loading (load_index
 function has a parameter which defines the new maximum number of elements).

README.md

@@ -317,7 +317,8 @@ To run test **with** updates (from `build` directory)
 - Visual search engine for 1M amazon products (MXNet + HNSW): [website](https://thomasdelteil.github.io/VisualSearch_MXNet/), [code](https://github.com/ThomasDelteil/VisualSearch_MXNet), demo by [@ThomasDelteil](https://github.com/ThomasDelteil)
 
 ### References
-
+HNSW paper:
+```
 @article{malkov2018efficient,
   title={Efficient and robust approximate nearest neighbor search using hierarchical navigable small world graphs},
   author={Malkov, Yu A and Yashunin, Dmitry A},
@@ -328,3 +329,6 @@ To run test **with** updates (from `build` directory)
   year={2018},
   publisher={IEEE}
 }
+```
+
+The update algorithm supported in this repository is to be published in "Dynamic Updates For HNSW, Hierarchical Navigable Small World Graphs" US Patent 15/929,802 by Apoorv Sharma, Abhishek Tayal and Yury Malkov.