From a6b70060bc34c228153ad906a59ccbad0ed22682 Mon Sep 17 00:00:00 2001
From: Lester Solbakken <lesters@yahoo-inc.com>
Date: Tue, 20 Sep 2016 14:13:33 +0200
Subject: Update blog recommendation sample with second phase ranking

---
 .../application/searchdefinitions/blog_post.sd     | 70 ++++++++++++++++------
 1 file changed, 51 insertions(+), 19 deletions(-)

(limited to 'sample-apps')

diff --git a/sample-apps/blog-recommendation/src/main/application/searchdefinitions/blog_post.sd b/sample-apps/blog-recommendation/src/main/application/searchdefinitions/blog_post.sd
index 4e424b59458..b0b53032216 100644
--- a/sample-apps/blog-recommendation/src/main/application/searchdefinitions/blog_post.sd
+++ b/sample-apps/blog-recommendation/src/main/application/searchdefinitions/blog_post.sd
@@ -93,33 +93,65 @@ search blog_post {
         type: tensor(user_item_cf[10], input[20])
     }
 
-    macro matmul(x, y, dim) {
-        expression: sum(x * y, dim)
-    }
+    rank-profile nn_tensor {
 
-    # The input to the neural network is the concatenation of the document and query vectors
-    macro nn_input() {
-        expression {
-            matmul(attribute(user_item_cf), constant(input_transform_1), "user_item_cf")
-            +
-            matmul(query(user_item_cf), constant(input_transform_2), "user_item_cf")
+        # Why no work?
+        macro inline matmul(x, y, dim) {
+            expression: sum(x * y, dim)
         }
-    }
 
-    macro hidden_layer() {
-        expression: relu(matmul(nn_input, constant(W_hidden), "input") + constant(b_hidden))
-    }
+        macro matmul_user_item_cf(x, y) {
+            expression: sum(x * y, user_item_cf)
+        }
 
-    macro final_layer() {
-        expression: sigmoid(matmul(hidden_layer, constant(W_final), "hidden") + constant(b_final))
-    }
+        macro matmul_hidden(x, y) {
+            expression: sum(x * y, hidden)
+        }
 
-    rank-profile nn_tensor {
-        first-phase {
+        macro matmul_input(x, y) {
+            expression: sum(x * y, input)
+        }
+
+        macro add(x,y) {
+            expression: x + y
+        }
+
+        # The input to the neural network is the concatenation of the document and query vectors
+        macro nn_input() {
+            expression {
+                matmul_user_item_cf(attribute(user_item_cf), constant(input_transform_1))
+                +
+                matmul_user_item_cf(query(user_item_cf), constant(input_transform_2))
+            }
+        }
+
+        macro hidden_layer() {
             expression {
-                sum(final_layer)
+                relu(add(matmul_input(nn_input, constant(W_hidden)), constant(b_hidden)))
+
+                # The '+' causes an error. Why?
+                # relu(matmul(nn_input, constant(W_hidden), "input") + constant(b_hidden))
+            }
+        }
+
+        macro final_layer() {
+            expression{
+                sigmoid(add(matmul_hidden(hidden_layer, constant(W_final)), constant(b_final)))
+
+                # Same as above
+                # sigmoid(matmul(hidden_layer, constant(W_final), "hidden") + constant(b_final))
             }
         }
+
+        first-phase {
+            expression: sum(query(user_item_cf) * attribute(user_item_cf))
+        }
+
+        second-phase {
+            rerank-count: 200
+            expression: sum(final_layer)
+        }
+
     }
 
 }
-- 
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